From 6ad6bee11da2fa1243491cdfde5c235de8a971bb Mon Sep 17 00:00:00 2001 From: Michel Laterman <82832767+michel-laterman@users.noreply.github.com> Date: Mon, 22 Nov 2021 12:59:14 -0800 Subject: [PATCH 01/12] Enable pprof for elastic-agent and beats (#28983) Enable the /debug/pprof/ endpoints for all beats that the elastic-agent starts. Enable the pprof endpoints on elastic-agent if agent.monitoring.pprof is true (default true). Agent endpoint can be toggled in case it is located on a network and not localhost/unix socket/windows N pipe. --- x-pack/elastic-agent/CHANGELOG.next.asciidoc | 1 + x-pack/elastic-agent/_meta/config/common.p2.yml.tmpl | 3 +++ .../elastic-agent/_meta/config/common.reference.p2.yml.tmpl | 3 +++ .../elastic-agent/_meta/config/elastic-agent.docker.yml.tmpl | 3 +++ x-pack/elastic-agent/elastic-agent.docker.yml | 3 +++ x-pack/elastic-agent/elastic-agent.reference.yml | 3 +++ x-pack/elastic-agent/elastic-agent.yml | 3 +++ x-pack/elastic-agent/pkg/agent/cmd/run.go | 4 ++++ .../elastic-agent/pkg/core/monitoring/beats/beats_monitor.go | 1 + x-pack/elastic-agent/pkg/core/monitoring/config/config.go | 2 ++ 10 files changed, 26 insertions(+) diff --git a/x-pack/elastic-agent/CHANGELOG.next.asciidoc b/x-pack/elastic-agent/CHANGELOG.next.asciidoc index 4ebf989b89b..d0de29fdea8 100644 --- a/x-pack/elastic-agent/CHANGELOG.next.asciidoc +++ b/x-pack/elastic-agent/CHANGELOG.next.asciidoc @@ -149,3 +149,4 @@ - Add diagnostics command to gather beat metadata. {pull}28265[28265] - Add diagnostics collect command to gather beat metadata, config, policy, and logs and bundle it into an archive. {pull}28461[28461] - Add `KIBANA_FLEET_SERVICE_TOKEN` to Elastic Agent container. {pull}28096[28096] +- Enable pprof endpoints for beats processes. Allow pprof endpoints for elastic-agent if enabled. {pull}28983[28983] diff --git a/x-pack/elastic-agent/_meta/config/common.p2.yml.tmpl b/x-pack/elastic-agent/_meta/config/common.p2.yml.tmpl index 1850c003f46..23d6203c2ec 100644 --- a/x-pack/elastic-agent/_meta/config/common.p2.yml.tmpl +++ b/x-pack/elastic-agent/_meta/config/common.p2.yml.tmpl @@ -33,6 +33,9 @@ inputs: # logs: true # # enables metrics monitoring # metrics: true +# # exposes /debug/pprof/ endpoints +# # recommended that these endpoints are only enabled if the monitoring endpoint is set to localhost +# pprof: true # # exposes agent metrics using http, by default sockets and named pipes are used # http: # # enables http endpoint diff --git a/x-pack/elastic-agent/_meta/config/common.reference.p2.yml.tmpl b/x-pack/elastic-agent/_meta/config/common.reference.p2.yml.tmpl index f7593c383ac..312730db592 100644 --- a/x-pack/elastic-agent/_meta/config/common.reference.p2.yml.tmpl +++ b/x-pack/elastic-agent/_meta/config/common.reference.p2.yml.tmpl @@ -107,6 +107,9 @@ inputs: # logs: false # # enables metrics monitoring # metrics: false +# # exposes /debug/pprof/ endpoints +# # recommended that these endpoints are only enabled if the monitoring endpoint is set to localhost +# pprof: true # # exposes agent metrics using http, by default sockets and named pipes are used # http: # # enables http endpoint diff --git a/x-pack/elastic-agent/_meta/config/elastic-agent.docker.yml.tmpl b/x-pack/elastic-agent/_meta/config/elastic-agent.docker.yml.tmpl index 0b73c9fcdb7..78c64b51494 100644 --- a/x-pack/elastic-agent/_meta/config/elastic-agent.docker.yml.tmpl +++ b/x-pack/elastic-agent/_meta/config/elastic-agent.docker.yml.tmpl @@ -107,6 +107,9 @@ inputs: # logs: false # # enables metrics monitoring # metrics: false +# # exposes /debug/pprof/ endpoints +# # recommended that these endpoints are only enabled if the monitoring endpoint is set to localhost +# pprof: true # # exposes agent metrics using http, by default sockets and named pipes are used # http: # # enables http endpoint diff --git a/x-pack/elastic-agent/elastic-agent.docker.yml b/x-pack/elastic-agent/elastic-agent.docker.yml index cb77ab59ffc..81b48af034d 100644 --- a/x-pack/elastic-agent/elastic-agent.docker.yml +++ b/x-pack/elastic-agent/elastic-agent.docker.yml @@ -107,6 +107,9 @@ inputs: # logs: false # # enables metrics monitoring # metrics: false +# # exposes /debug/pprof/ endpoints +# # recommended that these endpoints are only enabled if the monitoring endpoint is set to localhost +# pprof: true # # exposes agent metrics using http, by default sockets and named pipes are used # http: # # enables http endpoint diff --git a/x-pack/elastic-agent/elastic-agent.reference.yml b/x-pack/elastic-agent/elastic-agent.reference.yml index 5456097ce3a..e0c4077f282 100644 --- a/x-pack/elastic-agent/elastic-agent.reference.yml +++ b/x-pack/elastic-agent/elastic-agent.reference.yml @@ -113,6 +113,9 @@ inputs: # logs: false # # enables metrics monitoring # metrics: false +# # exposes /debug/pprof/ endpoints +# # recommended that these endpoints are only enabled if the monitoring endpoint is set to localhost +# pprof: true # # exposes agent metrics using http, by default sockets and named pipes are used # http: # # enables http endpoint diff --git a/x-pack/elastic-agent/elastic-agent.yml b/x-pack/elastic-agent/elastic-agent.yml index 8204503be51..70926508570 100644 --- a/x-pack/elastic-agent/elastic-agent.yml +++ b/x-pack/elastic-agent/elastic-agent.yml @@ -39,6 +39,9 @@ inputs: # logs: true # # enables metrics monitoring # metrics: true +# # exposes /debug/pprof/ endpoints +# # recommended that these endpoints are only enabled if the monitoring endpoint is set to localhost +# pprof: true # # exposes agent metrics using http, by default sockets and named pipes are used # http: # # enables http endpoint diff --git a/x-pack/elastic-agent/pkg/agent/cmd/run.go b/x-pack/elastic-agent/pkg/agent/cmd/run.go index 56a41e06895..1c8c1dd4916 100644 --- a/x-pack/elastic-agent/pkg/agent/cmd/run.go +++ b/x-pack/elastic-agent/pkg/agent/cmd/run.go @@ -313,6 +313,10 @@ func setupMetrics(agentInfo *info.AgentInfo, logger *logger.Logger, operatingSys } s.Start() + if cfg.Pprof { + s.AttachPprof() + } + // return server stopper return s.Stop, nil } diff --git a/x-pack/elastic-agent/pkg/core/monitoring/beats/beats_monitor.go b/x-pack/elastic-agent/pkg/core/monitoring/beats/beats_monitor.go index e00860ec1f1..d506c22a6cb 100644 --- a/x-pack/elastic-agent/pkg/core/monitoring/beats/beats_monitor.go +++ b/x-pack/elastic-agent/pkg/core/monitoring/beats/beats_monitor.go @@ -122,6 +122,7 @@ func (b *Monitor) EnrichArgs(spec program.Spec, pipelineID string, args []string appendix = append(appendix, "-E", "http.enabled=true", "-E", "http.host="+endpoint, + "-E", "http.pprof.enabled=true", ) } diff --git a/x-pack/elastic-agent/pkg/core/monitoring/config/config.go b/x-pack/elastic-agent/pkg/core/monitoring/config/config.go index 7e1dbc77273..10a3a6bd4a9 100644 --- a/x-pack/elastic-agent/pkg/core/monitoring/config/config.go +++ b/x-pack/elastic-agent/pkg/core/monitoring/config/config.go @@ -15,6 +15,7 @@ type MonitoringConfig struct { LogMetrics bool `yaml:"-" config:"-"` HTTP *MonitoringHTTPConfig `yaml:"http" config:"http"` Namespace string `yaml:"namespace" config:"namespace"` + Pprof bool `yaml:"pprof" config:"pprof"` } // MonitoringHTTPConfig is a config defining HTTP endpoint published by agent @@ -38,5 +39,6 @@ func DefaultConfig() *MonitoringConfig { Port: defaultPort, }, Namespace: defaultNamespace, + Pprof: true, } } From dbca099f0c8eabaedadb49e3ea47d8ca5a235498 Mon Sep 17 00:00:00 2001 From: Andrew Cholakian Date: Mon, 22 Nov 2021 15:46:23 -0600 Subject: [PATCH 02/12] [Heartbeat] Log error on dupe monitor ID instead of strict req (#29041) --- CHANGELOG.next.asciidoc | 1 + heartbeat/beater/heartbeat.go | 6 +-- heartbeat/monitors/factory.go | 62 +++++++++++++++++++++++++--- heartbeat/monitors/factory_test.go | 63 +++++++++++++++++++++++++--- heartbeat/monitors/monitor.go | 66 +++++++++++++++--------------- heartbeat/monitors/monitor_test.go | 42 ++----------------- 6 files changed, 152 insertions(+), 88 deletions(-) diff --git a/CHANGELOG.next.asciidoc b/CHANGELOG.next.asciidoc index b528432faf0..ac413500ed2 100644 --- a/CHANGELOG.next.asciidoc +++ b/CHANGELOG.next.asciidoc @@ -67,6 +67,7 @@ https://github.com/elastic/beats/compare/v7.0.0-alpha2...master[Check the HEAD d - `filestream` and `log` inputs accept null (`\u0000`) as line terminator. {pull}28998[28998] *Heartbeat* +- Change behavior in case of duplicate monitor IDs in configs to be last monitor wins. {pull}29041[29041] *Journalbeat* diff --git a/heartbeat/beater/heartbeat.go b/heartbeat/beater/heartbeat.go index f9623753d3a..c019e37ea72 100644 --- a/heartbeat/beater/heartbeat.go +++ b/heartbeat/beater/heartbeat.go @@ -78,7 +78,7 @@ func New(b *beat.Beat, rawConfig *common.Config) (beat.Beater, error) { config: parsedConfig, scheduler: scheduler, // dynamicFactory is the factory used for dynamic configs, e.g. autodiscover / reload - dynamicFactory: monitors.NewFactory(b.Info, scheduler), + dynamicFactory: monitors.NewFactory(b.Info, scheduler, plugin.GlobalPluginsReg), } return bt, nil } @@ -198,11 +198,9 @@ func runRunOnceSingleConfig(cfg *common.Config, publishClient *core.SyncClient, // RunStaticMonitors runs the `heartbeat.monitors` portion of the yaml config if present. func (bt *Heartbeat) RunStaticMonitors(b *beat.Beat) (stop func(), err error) { - factory := monitors.NewFactory(b.Info, bt.scheduler) - var runners []cfgfile.Runner for _, cfg := range bt.config.Monitors { - created, err := factory.Create(b.Publisher, cfg) + created, err := bt.dynamicFactory.Create(b.Publisher, cfg) if err != nil { if errors.Is(err, monitors.ErrMonitorDisabled) { logp.Info("skipping disabled monitor: %s", err) diff --git a/heartbeat/monitors/factory.go b/heartbeat/monitors/factory.go index d2b013d3c01..7f660cbb087 100644 --- a/heartbeat/monitors/factory.go +++ b/heartbeat/monitors/factory.go @@ -19,6 +19,7 @@ package monitors import ( "fmt" + "sync" "github.com/elastic/beats/v7/heartbeat/monitors/plugin" "github.com/elastic/beats/v7/heartbeat/monitors/stdfields" @@ -27,6 +28,7 @@ import ( "github.com/elastic/beats/v7/libbeat/cfgfile" "github.com/elastic/beats/v7/libbeat/common" "github.com/elastic/beats/v7/libbeat/common/fmtstr" + "github.com/elastic/beats/v7/libbeat/logp" "github.com/elastic/beats/v7/libbeat/processors" "github.com/elastic/beats/v7/libbeat/processors/actions" "github.com/elastic/beats/v7/libbeat/processors/add_data_stream" @@ -37,8 +39,12 @@ import ( // RunnerFactory that can be used to create cfg.Runner cast versions of Monitor // suitable for config reloading. type RunnerFactory struct { - info beat.Info - sched *scheduler.Scheduler + info beat.Info + sched *scheduler.Scheduler + byId map[string]*Monitor + mtx *sync.Mutex + pluginsReg *plugin.PluginsReg + logger *logp.Logger } type publishSettings struct { @@ -61,8 +67,15 @@ type publishSettings struct { } // NewFactory takes a scheduler and creates a RunnerFactory that can create cfgfile.Runner(Monitor) objects. -func NewFactory(info beat.Info, sched *scheduler.Scheduler) *RunnerFactory { - return &RunnerFactory{info, sched} +func NewFactory(info beat.Info, sched *scheduler.Scheduler, pluginsReg *plugin.PluginsReg) *RunnerFactory { + return &RunnerFactory{ + info: info, + sched: sched, + byId: map[string]*Monitor{}, + mtx: &sync.Mutex{}, + pluginsReg: pluginsReg, + logger: logp.NewLogger("monitor-factory"), + } } // Create makes a new Runner for a new monitor with the given Config. @@ -78,8 +91,45 @@ func (f *RunnerFactory) Create(p beat.Pipeline, c *common.Config) (cfgfile.Runne } p = pipetool.WithClientConfigEdit(p, configEditor) - monitor, err := newMonitor(c, plugin.GlobalPluginsReg, p, f.sched) - return monitor, err + + f.mtx.Lock() + defer f.mtx.Unlock() + + // This is a callback executed on stop of a monitor, it ensures we delete the entry in + // byId. + // It's a little tricky, because it handles the problem of this function being + // occasionally invoked twice in one stack. + // f.mtx would be locked given that golang does not support reentrant locks. + // The important thing is clearing the map, not ensuring it stops exactly on time + // so we can defer its removal from the map with a goroutine, thus breaking out of the current stack + // and ensuring the cleanup happen soon enough. + safeStop := func(m *Monitor) { + go func() { + // We can safely relock now, since we're in a new goroutine. + f.mtx.Lock() + defer f.mtx.Unlock() + + // If this element hasn't already been removed or replaced with a new + // instance delete it from the map. Check monitor identity via pointer equality. + if curM, ok := f.byId[m.stdFields.ID]; ok && curM == m { + delete(f.byId, m.stdFields.ID) + } + }() + } + monitor, err := newMonitor(c, f.pluginsReg, p, f.sched, safeStop) + if err != nil { + return nil, err + } + + if mon, ok := f.byId[monitor.stdFields.ID]; ok { + f.logger.Warnf("monitor ID %s is configured for multiple monitors! IDs should be unique values, last seen config will win", monitor.stdFields.ID) + // Stop the old monitor, since we'll swap our new one in place + mon.Stop() + } + + f.byId[monitor.stdFields.ID] = monitor + + return monitor, nil } // CheckConfig checks to see if the given monitor config is valid. diff --git a/heartbeat/monitors/factory_test.go b/heartbeat/monitors/factory_test.go index 27b119392ee..4849529cec4 100644 --- a/heartbeat/monitors/factory_test.go +++ b/heartbeat/monitors/factory_test.go @@ -23,19 +23,22 @@ import ( "github.com/stretchr/testify/require" + "github.com/elastic/beats/v7/heartbeat/scheduler" "github.com/elastic/beats/v7/libbeat/beat" "github.com/elastic/beats/v7/libbeat/beat/events" "github.com/elastic/beats/v7/libbeat/common" "github.com/elastic/beats/v7/libbeat/common/fmtstr" + "github.com/elastic/beats/v7/libbeat/monitoring" "github.com/elastic/beats/v7/libbeat/processors/add_data_stream" ) +var binfo = beat.Info{ + Beat: "heartbeat", + IndexPrefix: "heartbeat", + Version: "8.0.0", +} + func TestPreProcessors(t *testing.T) { - binfo := beat.Info{ - Beat: "heartbeat", - IndexPrefix: "heartbeat", - Version: "8.0.0", - } tests := map[string]struct { settings publishSettings expectedIndex string @@ -143,3 +146,53 @@ func TestPreProcessors(t *testing.T) { }) } } + +func TestDuplicateMonitorIDs(t *testing.T) { + serverMonConf := mockPluginConf(t, "custom", "@every 1ms", "http://example.net") + badConf := mockBadPluginConf(t, "custom", "@every 1ms") + reg, built, closed := mockPluginsReg() + pipelineConnector := &MockPipelineConnector{} + + sched := scheduler.New(1, monitoring.NewRegistry()) + err := sched.Start() + require.NoError(t, err) + defer sched.Stop() + + f := NewFactory(binfo, sched, reg) + makeTestMon := func() (*Monitor, error) { + mIface, err := f.Create(pipelineConnector, serverMonConf) + if mIface == nil { + return nil, err + } else { + return mIface.(*Monitor), err + } + } + + // Ensure that an error is returned on a bad config + _, m0Err := newMonitor(badConf, reg, pipelineConnector, sched, nil) + require.Error(t, m0Err) + + // Would fail if the previous newMonitor didn't free the monitor.id + m1, m1Err := makeTestMon() + require.NoError(t, m1Err) + m1.Start() + m2, m2Err := makeTestMon() + require.NoError(t, m2Err) + m2.Start() + // Change the name so we can ensure that this is the currently active monitor + m2.stdFields.Name = "mon2" + // This used to trigger an error, but shouldn't any longer, we just log + // the error, and ensure the last monitor wins + require.NoError(t, m2Err) + + m, ok := f.byId[m2.stdFields.ID] + require.True(t, ok) + require.Equal(t, m2.stdFields.Name, m.stdFields.Name) + m1.Stop() + m2.Stop() + + // 3 are counted as built, even the bad config + require.Equal(t, 3, built.Load()) + // Only 2 closes, because the bad config isn't closed + require.Equal(t, 2, closed.Load()) +} diff --git a/heartbeat/monitors/monitor.go b/heartbeat/monitors/monitor.go index f93483d7933..9cdbb8ecfd6 100644 --- a/heartbeat/monitors/monitor.go +++ b/heartbeat/monitors/monitor.go @@ -37,17 +37,22 @@ import ( // ErrMonitorDisabled is returned when the monitor plugin is marked as disabled. var ErrMonitorDisabled = errors.New("monitor not loaded, plugin is disabled") +const ( + MON_INIT = iota + MON_STARTED + MON_STOPPED +) + // Monitor represents a configured recurring monitoring configuredJob loaded from a config file. Starting it // will cause it to run with the given scheduler until Stop() is called. type Monitor struct { stdFields stdfields.StdMonitorFields pluginName string config *common.Config - registrar *plugin.PluginsReg - uniqueName string scheduler *scheduler.Scheduler configuredJobs []*configuredJob enabled bool + state int // endpoints is a count of endpoints this monitor measures. endpoints int // internalsMtx is used to synchronize access to critical @@ -69,32 +74,21 @@ func (m *Monitor) String() string { } func checkMonitorConfig(config *common.Config, registrar *plugin.PluginsReg) error { - m, err := newMonitor(config, registrar, nil, nil) - if m != nil { - m.Stop() // Stop the monitor to free up the ID from uniqueness checks - } - return err -} + _, err := newMonitor(config, registrar, nil, nil, nil) -// uniqueMonitorIDs is used to keep track of explicitly configured monitor IDs and ensure no duplication within a -// given heartbeat instance. -var uniqueMonitorIDs sync.Map - -// ErrDuplicateMonitorID is returned when a monitor attempts to start using an ID already in use by another monitor. -type ErrDuplicateMonitorID struct{ ID string } - -func (e ErrDuplicateMonitorID) Error() string { - return fmt.Sprintf("monitor ID %s is configured for multiple monitors! IDs must be unique values.", e.ID) + return err } -// newMonitor Creates a new monitor, without leaking resources in the event of an error. +// newMonitor creates a new monitor, without leaking resources in the event of an error. +// you do not need to call Stop(), it will be safely garbage collected unless Start is called. func newMonitor( config *common.Config, registrar *plugin.PluginsReg, pipelineConnector beat.PipelineConnector, scheduler *scheduler.Scheduler, + onStop func(*Monitor), ) (*Monitor, error) { - m, err := newMonitorUnsafe(config, registrar, pipelineConnector, scheduler) + m, err := newMonitorUnsafe(config, registrar, pipelineConnector, scheduler, onStop) if m != nil && err != nil { m.Stop() } @@ -108,6 +102,7 @@ func newMonitorUnsafe( registrar *plugin.PluginsReg, pipelineConnector beat.PipelineConnector, scheduler *scheduler.Scheduler, + onStop func(*Monitor), ) (*Monitor, error) { // Extract just the Id, Type, and Enabled fields from the config // We'll parse things more precisely later once we know what exact type of @@ -135,14 +130,10 @@ func newMonitorUnsafe( internalsMtx: sync.Mutex{}, config: config, stats: pluginFactory.Stats, + state: MON_INIT, } - if m.stdFields.ID != "" { - // Ensure we don't have duplicate IDs - if _, loaded := uniqueMonitorIDs.LoadOrStore(m.stdFields.ID, m); loaded { - return m, ErrDuplicateMonitorID{m.stdFields.ID} - } - } else { + if m.stdFields.ID == "" { // If there's no explicit ID generate one hash, err := m.configHash() if err != nil { @@ -152,7 +143,14 @@ func newMonitorUnsafe( } p, err := pluginFactory.Create(config) - m.close = p.Close + + m.close = func() error { + if onStop != nil { + onStop(m) + } + return p.Close() + } + wrappedJobs := wrappers.WrapCommon(p.Jobs, m.stdFields) m.endpoints = p.Endpoints @@ -217,14 +215,18 @@ func (m *Monitor) Start() { } m.stats.StartMonitor(int64(m.endpoints)) + m.state = MON_STARTED } -// Stop stops the Monitor's execution in its configured scheduler. -// This is safe to call even if the Monitor was never started. +// Stop stops the monitor without freeing it in global dedup +// needed by dedup itself to avoid a reentrant lock. func (m *Monitor) Stop() { m.internalsMtx.Lock() defer m.internalsMtx.Unlock() - defer m.freeID() + + if m.state == MON_STOPPED { + return + } for _, t := range m.configuredJobs { t.Stop() @@ -238,9 +240,5 @@ func (m *Monitor) Stop() { } m.stats.StopMonitor(int64(m.endpoints)) -} - -func (m *Monitor) freeID() { - // Free up the monitor ID for reuse - uniqueMonitorIDs.Delete(m.stdFields.ID) + m.state = MON_STOPPED } diff --git a/heartbeat/monitors/monitor_test.go b/heartbeat/monitors/monitor_test.go index 0f00828bf9b..9a0962ef8b2 100644 --- a/heartbeat/monitors/monitor_test.go +++ b/heartbeat/monitors/monitor_test.go @@ -39,7 +39,7 @@ func TestMonitor(t *testing.T) { require.NoError(t, err) defer sched.Stop() - mon, err := newMonitor(serverMonConf, reg, pipelineConnector, sched) + mon, err := newMonitor(serverMonConf, reg, pipelineConnector, sched, nil) require.NoError(t, err) mon.Start() @@ -78,43 +78,6 @@ func TestMonitor(t *testing.T) { assert.Equal(t, true, pcClient.closed) } -func TestDuplicateMonitorIDs(t *testing.T) { - serverMonConf := mockPluginConf(t, "custom", "@every 1ms", "http://example.net") - badConf := mockBadPluginConf(t, "custom", "@every 1ms") - reg, built, closed := mockPluginsReg() - pipelineConnector := &MockPipelineConnector{} - - sched := scheduler.New(1, monitoring.NewRegistry()) - err := sched.Start() - require.NoError(t, err) - defer sched.Stop() - - makeTestMon := func() (*Monitor, error) { - return newMonitor(serverMonConf, reg, pipelineConnector, sched) - } - - // Ensure that an error is returned on a bad config - _, m0Err := newMonitor(badConf, reg, pipelineConnector, sched) - require.Error(t, m0Err) - - // Would fail if the previous newMonitor didn't free the monitor.id - m1, m1Err := makeTestMon() - require.NoError(t, m1Err) - _, m2Err := makeTestMon() - require.Error(t, m2Err) - m1.Stop() - m3, m3Err := makeTestMon() - require.NoError(t, m3Err) - m3.Stop() - - // We count 3 because built doesn't count successful builds, - // just attempted creations of monitors - require.Equal(t, 3, built.Load()) - // Only one stops because the others errored on create - require.Equal(t, 2, closed.Load()) - require.NoError(t, m3Err) -} - func TestCheckInvalidConfig(t *testing.T) { serverMonConf := mockInvalidPluginConf(t) reg, built, closed := mockPluginsReg() @@ -125,7 +88,8 @@ func TestCheckInvalidConfig(t *testing.T) { require.NoError(t, err) defer sched.Stop() - m, err := newMonitor(serverMonConf, reg, pipelineConnector, sched) + m, err := newMonitor(serverMonConf, reg, pipelineConnector, sched, nil) + require.Error(t, err) // This could change if we decide the contract for newMonitor should always return a monitor require.Nil(t, m, "For this test to work we need a nil value for the monitor.") From 9b154ad3bc2d5cfa028392300072750f9ad1b8e1 Mon Sep 17 00:00:00 2001 From: Michal Pristas Date: Tue, 23 Nov 2021 09:13:22 +0100 Subject: [PATCH 03/12] [Elastic-Agent] IUse itnernal port for local fleet server (#28993) [Elastic-Agent] IUse itnernal port for local fleet server (#28993) --- x-pack/elastic-agent/pkg/agent/cmd/enroll.go | 2 + .../elastic-agent/pkg/agent/cmd/enroll_cmd.go | 37 +++++++++++++++---- .../pkg/agent/configuration/fleet_server.go | 13 ++++--- .../pkg/agent/program/supported.go | 2 +- x-pack/elastic-agent/spec/fleet-server.yml | 1 + 5 files changed, 40 insertions(+), 15 deletions(-) diff --git a/x-pack/elastic-agent/pkg/agent/cmd/enroll.go b/x-pack/elastic-agent/pkg/agent/cmd/enroll.go index a80a9abc22b..126161fa4c4 100644 --- a/x-pack/elastic-agent/pkg/agent/cmd/enroll.go +++ b/x-pack/elastic-agent/pkg/agent/cmd/enroll.go @@ -291,6 +291,7 @@ func enroll(streams *cli.IOStreams, cmd *cobra.Command, args []string) error { fPolicy, _ := cmd.Flags().GetString("fleet-server-policy") fHost, _ := cmd.Flags().GetString("fleet-server-host") fPort, _ := cmd.Flags().GetUint16("fleet-server-port") + fInternalPort, _ := cmd.Flags().GetUint16("fleet-server-internal-port") fCert, _ := cmd.Flags().GetString("fleet-server-cert") fCertKey, _ := cmd.Flags().GetString("fleet-server-cert-key") fInsecure, _ := cmd.Flags().GetBool("fleet-server-insecure-http") @@ -336,6 +337,7 @@ func enroll(streams *cli.IOStreams, cmd *cobra.Command, args []string) error { SpawnAgent: !fromInstall, Headers: mapFromEnvList(fHeaders), Timeout: fTimeout, + InternalPort: fInternalPort, }, } diff --git a/x-pack/elastic-agent/pkg/agent/cmd/enroll_cmd.go b/x-pack/elastic-agent/pkg/agent/cmd/enroll_cmd.go index 3a96a25330c..25365c9afe9 100644 --- a/x-pack/elastic-agent/pkg/agent/cmd/enroll_cmd.go +++ b/x-pack/elastic-agent/pkg/agent/cmd/enroll_cmd.go @@ -44,11 +44,13 @@ import ( ) const ( - maxRetriesstoreAgentInfo = 5 - waitingForAgent = "Waiting for Elastic Agent to start" - waitingForFleetServer = "Waiting for Elastic Agent to start Fleet Server" - defaultFleetServerHost = "0.0.0.0" - defaultFleetServerPort = 8220 + maxRetriesstoreAgentInfo = 5 + waitingForAgent = "Waiting for Elastic Agent to start" + waitingForFleetServer = "Waiting for Elastic Agent to start Fleet Server" + defaultFleetServerHost = "0.0.0.0" + defaultFleetServerPort = 8220 + defaultFleetServerInternalHost = "localhost" + defaultFleetServerInternalPort = 8221 ) var ( @@ -80,6 +82,7 @@ type enrollCmdFleetServerOption struct { PolicyID string Host string Port uint16 + InternalPort uint16 Cert string CertKey string Insecure bool @@ -91,6 +94,7 @@ type enrollCmdFleetServerOption struct { // enrollCmdOption define all the supported enrollment option. type enrollCmdOption struct { URL string `yaml:"url,omitempty"` + InternalURL string `yaml:"-"` CAs []string `yaml:"ca,omitempty"` CASha256 []string `yaml:"ca_sha256,omitempty"` Insecure bool `yaml:"insecure,omitempty"` @@ -306,7 +310,7 @@ func (c *enrollCmd) fleetServerBootstrap(ctx context.Context, persistentConfig m fleetConfig, err := createFleetServerBootstrapConfig( c.options.FleetServer.ConnStr, c.options.FleetServer.ServiceToken, c.options.FleetServer.PolicyID, - c.options.FleetServer.Host, c.options.FleetServer.Port, + c.options.FleetServer.Host, c.options.FleetServer.Port, c.options.FleetServer.InternalPort, c.options.FleetServer.Cert, c.options.FleetServer.CertKey, c.options.FleetServer.ElasticsearchCA, c.options.FleetServer.Headers, c.options.ProxyURL, @@ -401,6 +405,14 @@ func (c *enrollCmd) prepareFleetTLS() error { if c.options.URL == "" { return errors.New("url is required when a certificate is provided") } + + if c.options.FleetServer.InternalPort > 0 { + if c.options.FleetServer.InternalPort != defaultFleetServerInternalPort { + c.log.Warnf("Internal endpoint configured to: %d. Changing this value is not supported.", c.options.FleetServer.InternalPort) + } + c.options.InternalURL = fmt.Sprintf("%s:%d", defaultFleetServerInternalHost, c.options.FleetServer.InternalPort) + } + return nil } @@ -504,7 +516,7 @@ func (c *enrollCmd) enroll(ctx context.Context, persistentConfig map[string]inte serverConfig, err := createFleetServerBootstrapConfig( c.options.FleetServer.ConnStr, c.options.FleetServer.ServiceToken, c.options.FleetServer.PolicyID, - c.options.FleetServer.Host, c.options.FleetServer.Port, + c.options.FleetServer.Host, c.options.FleetServer.Port, c.options.FleetServer.InternalPort, c.options.FleetServer.Cert, c.options.FleetServer.CertKey, c.options.FleetServer.ElasticsearchCA, c.options.FleetServer.Headers, c.options.ProxyURL, c.options.ProxyDisabled, c.options.ProxyHeaders, @@ -516,6 +528,10 @@ func (c *enrollCmd) enroll(ctx context.Context, persistentConfig map[string]inte // no longer need bootstrap at this point serverConfig.Server.Bootstrap = false fleetConfig.Server = serverConfig.Server + // use internal URL for future requests + if c.options.InternalURL != "" { + fleetConfig.Client.Host = c.options.InternalURL + } } configToStore := map[string]interface{}{ @@ -836,7 +852,7 @@ func storeAgentInfo(s saver, reader io.Reader) error { func createFleetServerBootstrapConfig( connStr, serviceToken, policyID, host string, - port uint16, + port uint16, internalPort uint16, cert, key, esCA string, headers map[string]string, proxyURL string, @@ -865,6 +881,9 @@ func createFleetServerBootstrapConfig( if port == 0 { port = defaultFleetServerPort } + if internalPort == 0 { + internalPort = defaultFleetServerInternalPort + } if len(headers) > 0 { if es.Headers == nil { es.Headers = make(map[string]string) @@ -888,6 +907,7 @@ func createFleetServerBootstrapConfig( Host: host, Port: port, } + if policyID != "" { cfg.Server.Policy = &configuration.FleetServerPolicyConfig{ID: policyID} } @@ -905,6 +925,7 @@ func createFleetServerBootstrapConfig( if localFleetServer { cfg.Client.Transport.Proxy.Disable = true + cfg.Server.InternalPort = internalPort } if err := cfg.Valid(); err != nil { diff --git a/x-pack/elastic-agent/pkg/agent/configuration/fleet_server.go b/x-pack/elastic-agent/pkg/agent/configuration/fleet_server.go index 25298c6e2b5..425d899a55b 100644 --- a/x-pack/elastic-agent/pkg/agent/configuration/fleet_server.go +++ b/x-pack/elastic-agent/pkg/agent/configuration/fleet_server.go @@ -13,12 +13,13 @@ import ( // FleetServerConfig is the configuration written so Elastic Agent can run Fleet Server. type FleetServerConfig struct { - Bootstrap bool `config:"bootstrap" yaml:"bootstrap,omitempty"` - Policy *FleetServerPolicyConfig `config:"policy" yaml:"policy,omitempty"` - Output FleetServerOutputConfig `config:"output" yaml:"output,omitempty"` - Host string `config:"host" yaml:"host,omitempty"` - Port uint16 `config:"port" yaml:"port,omitempty"` - TLS *tlscommon.Config `config:"ssl" yaml:"ssl,omitempty"` + Bootstrap bool `config:"bootstrap" yaml:"bootstrap,omitempty"` + Policy *FleetServerPolicyConfig `config:"policy" yaml:"policy,omitempty"` + Output FleetServerOutputConfig `config:"output" yaml:"output,omitempty"` + Host string `config:"host" yaml:"host,omitempty"` + Port uint16 `config:"port" yaml:"port,omitempty"` + InternalPort uint16 `config:"internal_port" yaml:"internal_port,omitempty"` + TLS *tlscommon.Config `config:"ssl" yaml:"ssl,omitempty"` } // FleetServerPolicyConfig is the configuration for the policy Fleet Server should run on. diff --git a/x-pack/elastic-agent/pkg/agent/program/supported.go b/x-pack/elastic-agent/pkg/agent/program/supported.go index c655b239402..70e7c6f716f 100644 --- a/x-pack/elastic-agent/pkg/agent/program/supported.go +++ b/x-pack/elastic-agent/pkg/agent/program/supported.go @@ -25,7 +25,7 @@ func init() { // spec/metricbeat.yml // spec/osquerybeat.yml // spec/packetbeat.yml - unpacked := packer.MustUnpack("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") + unpacked := packer.MustUnpack("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") SupportedMap = make(map[string]Spec) for f, v := range unpacked { diff --git a/x-pack/elastic-agent/spec/fleet-server.yml b/x-pack/elastic-agent/spec/fleet-server.yml index abb4ad4a502..ea7af0e3b89 100644 --- a/x-pack/elastic-agent/spec/fleet-server.yml +++ b/x-pack/elastic-agent/spec/fleet-server.yml @@ -32,6 +32,7 @@ rules: selectors: - fleet.server.host - fleet.server.port + - fleet.server.internal_port - fleet.server.ssl path: inputs.0.server From 78f3a3b0a4fd15d6583b105fb240f9b2985268be Mon Sep 17 00:00:00 2001 From: Jaime Soriano Pastor Date: Tue, 23 Nov 2021 10:32:36 +0100 Subject: [PATCH 04/12] Fix parsing of apache trace log levels (#28717) Apache levels may contain numbers as sublevels such as trace1. --- CHANGELOG.next.asciidoc | 1 + .../module/apache/error/ingest/pipeline.yml | 4 +++- .../module/apache/error/test/sublevel.log | 2 ++ .../error/test/sublevel.log-expected.json | 21 +++++++++++++++++++ 4 files changed, 27 insertions(+), 1 deletion(-) create mode 100644 filebeat/module/apache/error/test/sublevel.log create mode 100644 filebeat/module/apache/error/test/sublevel.log-expected.json diff --git a/CHANGELOG.next.asciidoc b/CHANGELOG.next.asciidoc index ac413500ed2..b94e52cf135 100644 --- a/CHANGELOG.next.asciidoc +++ b/CHANGELOG.next.asciidoc @@ -185,6 +185,7 @@ https://github.com/elastic/beats/compare/v7.0.0-alpha2...master[Check the HEAD d - Add support for username in cisco asa security negotiation logs {pull}26975[26975] - Relax time parsing and capture group and session type in Cisco ASA module {issue}24710[24710] {pull}28325[28325] - Correctly track bytes read when max_bytes is exceeded. {issue}28317[28317] {pull}28352[28352] +- Fix parsing of apache log levels including numbers. {pull}28717[28717] - Upgrade azure-eventhub sdk reference, contains potential checkpoint fixes. {pull}28919[28919] - Revert usageDetails api version to 2019-01-01. {pull}28995[28995] - Fix in `aws-s3` input regarding provider discovery through endpoint {pull}28963[28963] diff --git a/filebeat/module/apache/error/ingest/pipeline.yml b/filebeat/module/apache/error/ingest/pipeline.yml index 4b8495dd9c8..ae35a6fb371 100644 --- a/filebeat/module/apache/error/ingest/pipeline.yml +++ b/filebeat/module/apache/error/ingest/pipeline.yml @@ -11,10 +11,12 @@ processors: patterns: - \[%{APACHE_TIME:apache.error.timestamp}\] \[%{LOGLEVEL:log.level}\]( \[client %{IPORHOST:source.address}(:%{POSINT:source.port})?\])? %{GREEDYDATA:message} - - \[%{APACHE_TIME:apache.error.timestamp}\] \[%{DATA:apache.error.module}:%{LOGLEVEL:log.level}\] + - \[%{APACHE_TIME:apache.error.timestamp}\] \[%{DATA:apache.error.module}:%{APACHE_LOGLEVEL:log.level}\] \[pid %{NUMBER:process.pid:long}(:tid %{NUMBER:process.thread.id:long})?\]( \[client %{IPORHOST:source.address}(:%{POSINT:source.port})?\])? %{GREEDYDATA:message} pattern_definitions: + # Apache log level can have numeric sub-levels such as trace1. + APACHE_LOGLEVEL: '%{LOGLEVEL}[0-9]*' APACHE_TIME: '%{DAY} %{MONTH} %{MONTHDAY} %{TIME} %{YEAR}' ignore_missing: true - grok: diff --git a/filebeat/module/apache/error/test/sublevel.log b/filebeat/module/apache/error/test/sublevel.log new file mode 100644 index 00000000000..e4ad2fbd87b --- /dev/null +++ b/filebeat/module/apache/error/test/sublevel.log @@ -0,0 +1,2 @@ +[Wed Oct 20 19:20:59.121211 2021] [rewrite:trace3] [pid 121591:tid 140413273032448] mod_rewrite.c(470): [client 10.121.192.8:38350] 10.121.192.8 - - [dev.elastic.co/sid#55a374e851c8][rid#7fb438083ac0/initial] applying pattern '^/import/?(.*)$' to uri '/' + diff --git a/filebeat/module/apache/error/test/sublevel.log-expected.json b/filebeat/module/apache/error/test/sublevel.log-expected.json new file mode 100644 index 00000000000..26ad0e27538 --- /dev/null +++ b/filebeat/module/apache/error/test/sublevel.log-expected.json @@ -0,0 +1,21 @@ +[ + { + "@timestamp": "2021-10-20T19:20:59.121-02:00", + "apache.error.module": "rewrite", + "event.category": "web", + "event.dataset": "apache.error", + "event.kind": "event", + "event.module": "apache", + "event.original": "[Wed Oct 20 19:20:59.121211 2021] [rewrite:trace3] [pid 121591:tid 140413273032448] mod_rewrite.c(470): [client 10.121.192.8:38350] 10.121.192.8 - - [dev.elastic.co/sid#55a374e851c8][rid#7fb438083ac0/initial] applying pattern '^/import/?(.*)$' to uri '/'", + "event.timezone": "-02:00", + "event.type": "info", + "fileset.name": "error", + "input.type": "log", + "log.level": "trace3", + "log.offset": 0, + "message": "mod_rewrite.c(470): [client 10.121.192.8:38350] 10.121.192.8 - - [dev.elastic.co/sid#55a374e851c8][rid#7fb438083ac0/initial] applying pattern '^/import/?(.*)$' to uri '/'", + "process.pid": 121591, + "process.thread.id": 140413273032448, + "service.type": "apache" + } +] From 0e18dbe4ad0124e7307a4b44a2bc6a2634d9514a Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?No=C3=A9mi=20V=C3=A1nyi?= Date: Tue, 23 Nov 2021 10:40:59 +0100 Subject: [PATCH 05/12] Remove deprecated `--template` and `--index-policy` flags (#28870) --- CHANGELOG.next.asciidoc | 1 + auditbeat/tests/system/test_base.py | 6 +++--- filebeat/tests/system/test_base.py | 22 +++------------------- heartbeat/cmd/root.go | 5 ----- heartbeat/tests/system/test_base.py | 6 +++--- libbeat/cmd/setup.go | 20 -------------------- libbeat/docs/command-reference.asciidoc | 10 ---------- libbeat/tests/system/test_ilm.py | 17 ----------------- libbeat/tests/system/test_template.py | 8 ++------ metricbeat/tests/system/test_base.py | 8 ++++---- 10 files changed, 16 insertions(+), 87 deletions(-) diff --git a/CHANGELOG.next.asciidoc b/CHANGELOG.next.asciidoc index b94e52cf135..9fff422ab10 100644 --- a/CHANGELOG.next.asciidoc +++ b/CHANGELOG.next.asciidoc @@ -27,6 +27,7 @@ https://github.com/elastic/beats/compare/v7.0.0-alpha2...master[Check the HEAD d - add_process_metadata processor: Replace usage of deprecated `process.ppid` field with `process.parent.pid`. {pull}28620[28620] - add_docker_metadata processor: Replace usage of deprecated `process.ppid` field with `process.parent.pid`. {pull}28620[28620] - Index template's default_fields setting is only populated with ECS fields. {pull}28596[28596] {issue}28215[28215] +- Remove deprecated `--template` and `--ilm-policy` flags. Use `--index-management` instead. {pull}28870[28870] - Remove options `logging.files.suffix` and default to datetime endings. {pull}28927[28927] *Auditbeat* diff --git a/auditbeat/tests/system/test_base.py b/auditbeat/tests/system/test_base.py index 3a007eb4f87..2f7f645c750 100644 --- a/auditbeat/tests/system/test_base.py +++ b/auditbeat/tests/system/test_base.py @@ -35,9 +35,9 @@ def test_start_stop(self): assert self.log_contains("auditbeat stopped") @unittest.skipUnless(INTEGRATION_TESTS, "integration test") - def test_template(self): + def test_index_management(self): """ - Test that the template can be loaded with `setup --template` + Test that the template can be loaded with `setup --index-management` """ dirs = [self.temp_dir("auditbeat_test")] with PathCleanup(dirs): @@ -51,7 +51,7 @@ def test_template(self): } }], elasticsearch={"host": self.get_elasticsearch_url()}) - self.run_beat(extra_args=["setup", "--template"], exit_code=0) + self.run_beat(extra_args=["setup", "--index-management"], exit_code=0) assert self.log_contains('Loaded index template') assert len(es.cat.templates(name='auditbeat-*', h='name')) > 0 diff --git a/filebeat/tests/system/test_base.py b/filebeat/tests/system/test_base.py index a55fb279459..6082c07f609 100644 --- a/filebeat/tests/system/test_base.py +++ b/filebeat/tests/system/test_base.py @@ -28,31 +28,15 @@ def test_base(self): assert "input.type" in output @unittest.skipUnless(INTEGRATION_TESTS, "integration test") - def test_template(self): + def test_index_management(self): """ - Test that the template can be loaded with `setup --template` + Test that the template can be loaded with `setup --index-management` """ es = Elasticsearch([self.get_elasticsearch_url()]) self.render_config_template( elasticsearch={"host": self.get_elasticsearch_url()}, ) - exit_code = self.run_beat(extra_args=["setup", "--template"]) - - assert exit_code == 0 - assert self.log_contains('Loaded index template') - assert len(es.cat.templates(name='filebeat-*', h='name')) > 0 - - @unittest.skipUnless(INTEGRATION_TESTS, "integration test") - def test_template_migration(self): - """ - Test that the template can be loaded with `setup --template` - """ - es = Elasticsearch([self.get_elasticsearch_url()]) - self.render_config_template( - elasticsearch={"host": self.get_elasticsearch_url()}, - ) - exit_code = self.run_beat(extra_args=["setup", "--template", - "-E", "setup.template.overwrite=true", "-E", "migration.6_to_7.enabled=true"]) + exit_code = self.run_beat(extra_args=["setup", "--index-management"]) assert exit_code == 0 assert self.log_contains('Loaded index template') diff --git a/heartbeat/cmd/root.go b/heartbeat/cmd/root.go index 5a99e97c56f..06f3961c279 100644 --- a/heartbeat/cmd/root.go +++ b/heartbeat/cmd/root.go @@ -18,7 +18,6 @@ package cmd import ( - "fmt" // include all heartbeat specific autodiscovery builders _ "github.com/elastic/beats/v7/heartbeat/autodiscover/builder/hints" @@ -80,10 +79,6 @@ func Initialize(settings instance.Settings) *cmd.BeatsRootCmd { ` setup.ResetFlags() setup.Flags().Bool(cmd.IndexManagementKey, false, "Setup all components related to Elasticsearch index management, including template, ilm policy and rollover alias") - setup.Flags().MarkDeprecated(cmd.TemplateKey, fmt.Sprintf("use --%s instead", cmd.IndexManagementKey)) - setup.Flags().MarkDeprecated(cmd.ILMPolicyKey, fmt.Sprintf("use --%s instead", cmd.IndexManagementKey)) - setup.Flags().Bool(cmd.TemplateKey, false, "Setup index template") - setup.Flags().Bool(cmd.ILMPolicyKey, false, "Setup ILM policy") return rootCmd } diff --git a/heartbeat/tests/system/test_base.py b/heartbeat/tests/system/test_base.py index 141658049fb..172960209d3 100644 --- a/heartbeat/tests/system/test_base.py +++ b/heartbeat/tests/system/test_base.py @@ -194,9 +194,9 @@ def run_fields(self, expected, local=None, top=None): return doc @unittest.skipUnless(INTEGRATION_TESTS, "integration test") - def test_template(self): + def test_index_management(self): """ - Test that the template can be loaded with `setup --template` + Test that the template can be loaded with `setup --index-management` """ es = Elasticsearch([self.get_elasticsearch_url()]) self.render_config_template( @@ -206,7 +206,7 @@ def test_template(self): }], elasticsearch={"host": self.get_elasticsearch_url()}, ) - exit_code = self.run_beat(extra_args=["setup", "--template"]) + exit_code = self.run_beat(extra_args=["setup", "--index-management"]) assert exit_code == 0 assert self.log_contains('Loaded index template') diff --git a/libbeat/cmd/setup.go b/libbeat/cmd/setup.go index 711ddfd027c..01c2b110a6b 100644 --- a/libbeat/cmd/setup.go +++ b/libbeat/cmd/setup.go @@ -34,16 +34,6 @@ const ( PipelineKey = "pipelines" //IndexManagementKey used for loading all components related to ES index management in setup cmd IndexManagementKey = "index-management" - - //TemplateKey used for loading template in setup cmd - // - //Deprecated: use IndexManagementKey instead - TemplateKey = "template" - - //ILMPolicyKey used for loading ilm in setup cmd - // - //Deprecated: use IndexManagementKey instead - ILMPolicyKey = "ilm-policy" ) func genSetupCmd(settings instance.Settings, beatCreator beat.Creator) *cobra.Command { @@ -68,8 +58,6 @@ func genSetupCmd(settings instance.Settings, beatCreator beat.Creator) *cobra.Co DashboardKey: false, PipelineKey: false, IndexManagementKey: false, - TemplateKey: false, - ILMPolicyKey: false, } var setupAll = true @@ -100,10 +88,6 @@ func genSetupCmd(settings instance.Settings, beatCreator beat.Creator) *cobra.Co s.Pipeline = true case IndexManagementKey: s.IndexManagement = true - case ILMPolicyKey: - s.ILMPolicy = true - case TemplateKey: - s.Template = true } } } @@ -118,10 +102,6 @@ func genSetupCmd(settings instance.Settings, beatCreator beat.Creator) *cobra.Co setup.Flags().Bool(PipelineKey, false, "Setup Ingest pipelines") setup.Flags().Bool(IndexManagementKey, false, "Setup all components related to Elasticsearch index management, including template, ilm policy and rollover alias") - setup.Flags().Bool(TemplateKey, false, "Setup index template") - setup.Flags().MarkDeprecated(TemplateKey, fmt.Sprintf("please use --%s instead", IndexManagementKey)) - setup.Flags().Bool(ILMPolicyKey, false, "Setup ILM policy") - setup.Flags().MarkDeprecated(ILMPolicyKey, fmt.Sprintf("please use --%s instead", IndexManagementKey)) return &setup } diff --git a/libbeat/docs/command-reference.asciidoc b/libbeat/docs/command-reference.asciidoc index 833f698682d..38cc5937ff0 100644 --- a/libbeat/docs/command-reference.asciidoc +++ b/libbeat/docs/command-reference.asciidoc @@ -802,16 +802,6 @@ ifdef::apm-server[] Registers the <> definitions set in `ingest/pipeline/definition.json`. endif::apm-server[] -*`--template`*:: -deprecated:[7.2] -Sets up the index template only. -It is recommended to use `--index-management` instead. - -*`--ilm-policy`*:: -deprecated:[7.2] -Sets up the index lifecycle management policy. -It is recommended to use `--index-management` instead. - {global-flags} *EXAMPLES* diff --git a/libbeat/tests/system/test_ilm.py b/libbeat/tests/system/test_ilm.py index 12c79fad61d..672f51327f6 100644 --- a/libbeat/tests/system/test_ilm.py +++ b/libbeat/tests/system/test_ilm.py @@ -191,23 +191,6 @@ def render_config(self, **kwargs): **kwargs ) - @unittest.skipUnless(INTEGRATION_TESTS, "integration test") - @pytest.mark.tag('integration') - def test_setup_ilm_policy_and_template(self): - """ - Test combination of ilm policy and template setup - """ - self.render_config() - - # NOTE: --template is deprecated for 8.0.0./ - exit_code = self.run_beat(logging_args=["-v", "-d", "*"], - extra_args=["setup", self.setupCmd, "--template"]) - - assert exit_code == 0 - self.idxmgmt.assert_ilm_template_loaded(self.alias_name, self.policy_name, self.alias_name) - self.idxmgmt.assert_alias_created(self.alias_name) - self.idxmgmt.assert_policy_created(self.policy_name) - @unittest.skipUnless(INTEGRATION_TESTS, "integration test") @pytest.mark.tag('integration') def test_setup_ilm_default(self): diff --git a/libbeat/tests/system/test_template.py b/libbeat/tests/system/test_template.py index cc80e284f4e..6a81a6bd036 100644 --- a/libbeat/tests/system/test_template.py +++ b/libbeat/tests/system/test_template.py @@ -181,7 +181,7 @@ def setUp(self): super(TestCommandSetupTemplate, self).setUp() # auto-derived default settings, if nothing else is set - self.setupCmd = "--template" + self.setupCmd = "--index-management" self.index_name = self.beat_name + "-9.9.9" self.custom_alias = self.beat_name + "_foo" self.policy_name = self.beat_name @@ -209,7 +209,7 @@ def test_setup(self): """ self.render_config() exit_code = self.run_beat(logging_args=["-v", "-d", "*"], - extra_args=["setup", self.setupCmd, "--ilm-policy"]) + extra_args=["setup", self.setupCmd]) assert exit_code == 0 self.idxmgmt.assert_ilm_template_loaded(self.index_name, self.policy_name, self.index_name) @@ -230,8 +230,6 @@ def test_setup_template_default(self): self.idxmgmt.assert_ilm_template_loaded(self.index_name, self.policy_name, self.index_name) self.idxmgmt.assert_index_template_index_pattern(self.index_name, [self.index_name + "-*"]) - # when running `setup --template` - # write_alias and rollover_policy related to ILM are also created self.idxmgmt.assert_alias_created(self.index_name) self.idxmgmt.assert_policy_created(self.policy_name) @@ -249,8 +247,6 @@ def test_setup_template_disabled(self): assert exit_code == 0 self.idxmgmt.assert_index_template_not_loaded(self.index_name) - # when running `setup --template` and `setup.template.enabled=false` - # write_alias and rollover_policy related to ILM are still created self.idxmgmt.assert_alias_created(self.index_name) self.idxmgmt.assert_policy_created(self.policy_name) diff --git a/metricbeat/tests/system/test_base.py b/metricbeat/tests/system/test_base.py index 5d7cf103929..43b548013e9 100644 --- a/metricbeat/tests/system/test_base.py +++ b/metricbeat/tests/system/test_base.py @@ -39,9 +39,9 @@ def test_start_stop(self): assert self.log_contains("metricbeat stopped") @unittest.skipUnless(INTEGRATION_TESTS, "integration test") - def test_template(self): + def test_index_management(self): """ - Test that the template can be loaded with `setup --template` + Test that the template can be loaded with `setup --index-management` """ es = Elasticsearch([self.get_elasticsearch_url()]) self.render_config_template( @@ -52,7 +52,7 @@ def test_template(self): }], elasticsearch={"host": self.get_elasticsearch_url()}, ) - exit_code = self.run_beat(extra_args=["setup", "--template", "-E", "setup.template.overwrite=true"]) + exit_code = self.run_beat(extra_args=["setup", "--index-management", "-E", "setup.template.overwrite=true"]) assert exit_code == 0 assert self.log_contains('Loaded index template') @@ -100,7 +100,7 @@ def test_migration(self): }], elasticsearch={"host": self.get_elasticsearch_url()}, ) - exit_code = self.run_beat(extra_args=["setup", "--template", + exit_code = self.run_beat(extra_args=["setup", "--index-management", "-E", "setup.template.overwrite=true", "-E", "migration.6_to_7.enabled=true"]) assert exit_code == 0 From 6ef54eeca718460cde00946daa26e1fd883a53b9 Mon Sep 17 00:00:00 2001 From: Victor Martinez Date: Tue, 23 Nov 2021 11:22:37 +0000 Subject: [PATCH 06/12] heartbeat: remove w2008 in the CI (#29093) --- heartbeat/Jenkinsfile.yml | 5 ----- 1 file changed, 5 deletions(-) diff --git a/heartbeat/Jenkinsfile.yml b/heartbeat/Jenkinsfile.yml index 2eeaf486464..c6603f1b969 100644 --- a/heartbeat/Jenkinsfile.yml +++ b/heartbeat/Jenkinsfile.yml @@ -79,11 +79,6 @@ stages: platforms: ## override default labels in this specific stage. - "windows-10" stage: extended - windows-2008: - mage: "mage build unitTest" - platforms: ## override default labels in this specific stage. - - "windows-2008-r2" - stage: extended windows-8: mage: "mage build unitTest" platforms: ## override default labels in this specific stage. From 39554cd10c1f790644f7f4bad346ff88bc0ef7e7 Mon Sep 17 00:00:00 2001 From: Michael Katsoulis Date: Tue, 23 Nov 2021 13:37:23 +0200 Subject: [PATCH 07/12] Revert "Move labels and annotations under kubernetes.namespace. (#27917)" (#29069) * Revert "Move labels and annotations under kubernetes.namespace. (#27917)" This reverts commit bb36e727bc0e9806272eb043dfded9cba032ba6e. * Remove TODOs for 8.0 * Revert changes to Agent * Revert changelog entry --- CHANGELOG.next.asciidoc | 1 - auditbeat/docs/fields.asciidoc | 35 +- auditbeat/include/fields.go | 2 +- filebeat/docs/fields.asciidoc | 35 +- filebeat/include/fields.go | 2 +- heartbeat/docs/fields.asciidoc | 35 +- heartbeat/include/fields.go | 2 +- journalbeat/docs/fields.asciidoc | 35 +- journalbeat/include/fields.go | 2 +- .../autodiscover/providers/kubernetes/pod.go | 7 +- .../providers/kubernetes/pod_test.go | 292 +-- .../providers/kubernetes/service.go | 5 +- .../providers/kubernetes/service_test.go | 84 +- .../k8skeystore/kubernetes_keystore.go | 2 +- .../k8skeystore/kubernetes_keystore_test.go | 18 +- .../common/kubernetes/metadata/namespace.go | 55 +- .../kubernetes/metadata/namespace_test.go | 38 +- .../common/kubernetes/metadata/pod_test.go | 38 +- .../common/kubernetes/metadata/resource.go | 2 +- .../kubernetes/metadata/resource_test.go | 8 +- .../kubernetes/metadata/service_test.go | 26 +- .../add_kubernetes_metadata/_meta/fields.yml | 25 +- .../add_kubernetes_metadata/indexers_test.go | 16 +- metricbeat/docs/fields.asciidoc | 35 +- metricbeat/include/fields/fields.go | 2 +- .../module/kubernetes/container/data.go | 4 +- metricbeat/module/kubernetes/event/event.go | 4 +- metricbeat/module/kubernetes/pod/data.go | 4 +- .../_meta/test/ksm.v1.3.0.expected | 210 +- .../_meta/test/ksm.v1.8.0.expected | 248 +- .../_meta/test/ksm.v2.0.0.expected | 438 ++-- .../testdata/ksm-v1_3_0.plain-expected.json | 306 ++- .../state_container/state_container.go | 2 +- .../_meta/test/ksm.v1.8.0.expected | 4 +- .../_meta/test/ksm.v2.0.0.expected | 4 +- .../kubernetes/state_cronjob/state_cronjob.go | 2 +- .../state_daemonset/_meta/data.json | 6 +- .../_meta/test/ksm.v1.3.0.expected | 4 +- .../_meta/test/ksm.v1.8.0.expected | 4 +- .../_meta/test/ksm.v2.0.0.expected | 30 +- .../_meta/testdata/docs.plain-expected.json | 12 +- .../state_daemonset/state_daemonset.go | 2 +- .../_meta/test/ksm.v1.3.0.expected | 16 +- .../_meta/test/ksm.v1.8.0.expected | 24 +- .../_meta/test/ksm.v2.0.0.expected | 34 +- .../testdata/ksm-v1.3.0.plain-expected.json | 64 +- .../testdata/ksm-v1.8.0.plain-expected.json | 246 +- .../state_deployment/state_deployment.go | 2 +- .../state_job/_meta/test/ksm.v1.8.0.expected | 4 +- .../state_job/_meta/test/ksm.v2.0.0.expected | 4 +- ...e-state-metrics-v1.8.0.plain-expected.json | 2108 +++++++---------- .../module/kubernetes/state_job/state_job.go | 2 +- .../_meta/test/ksm.unit.v1.8.0.expected | 28 +- .../_meta/test/ksm.v1.8.0.expected | 16 +- .../_meta/test/ksm.v2.0.0.expected | 4 +- .../state_persistentvolumeclaim.go | 2 +- .../kubernetes/state_pod/_meta/data.json | 8 +- .../state_pod/_meta/test/ksm.v1.3.0.expected | 72 +- .../state_pod/_meta/test/ksm.v1.8.0.expected | 106 +- .../state_pod/_meta/test/ksm.v2.0.0.expected | 196 +- .../_meta/testdata/docs.plain-expected.json | 90 +- .../module/kubernetes/state_pod/state_pod.go | 2 +- .../state_replicaset/_meta/data.json | 8 +- .../_meta/test/ksm.v1.3.0.expected | 42 +- .../_meta/test/ksm.v1.8.0.expected | 28 +- .../_meta/test/ksm.v2.0.0.expected | 40 +- .../_meta/testdata/docs.plain-expected.json | 58 +- .../state_replicaset/state_replicaset.go | 2 +- .../_meta/test/ksm.v1.8.0.expected | 270 +-- .../state_resourcequota.go | 2 +- .../_meta/test/ksm.unit.v1.8.0.expected | 58 +- .../_meta/test/ksm.v1.3.0.expected | 56 +- .../_meta/test/ksm.v1.8.0.expected | 34 +- .../_meta/test/ksm.v2.0.0.expected | 24 +- .../kubernetes/state_service/state_service.go | 2 +- .../state_statefulset/_meta/data.json | 18 +- .../_meta/test/ksm.unit.v2.0.0.expected | 4 +- .../_meta/test/ksm.v1.8.0.expected | 4 +- .../_meta/testdata/docs.plain-expected.json | 40 +- .../state_statefulset/state_statefulset.go | 2 +- .../module/kubernetes/util/kubernetes.go | 2 +- metricbeat/module/kubernetes/volume/data.go | 4 +- .../openmetrics/collector/_meta/data.json | 2 +- .../prometheus/collector/_meta/data.json | 6 +- packetbeat/docs/fields.asciidoc | 35 +- packetbeat/include/fields.go | 2 +- winlogbeat/docs/fields.asciidoc | 35 +- winlogbeat/include/fields.go | 2 +- .../composable/providers/kubernetes/pod.go | 18 +- .../providers/kubernetes/pod_test.go | 46 +- .../providers/kubernetes/service.go | 9 +- .../providers/kubernetes/service_test.go | 6 +- .../module/coredns/log/test/coredns-json.log | 6 +- .../log/test/coredns-json.log-expected.json | 16 +- .../module/envoyproxy/log/test/envoy-json.log | 4 +- .../log/test/envoy-json.log-expected.json | 6 +- x-pack/functionbeat/docs/fields.asciidoc | 35 +- x-pack/functionbeat/include/fields.go | 2 +- x-pack/heartbeat/include/fields.go | 2 +- .../prometheus/collector/_meta/data.json | 5 +- x-pack/osquerybeat/docs/fields.asciidoc | 35 +- x-pack/osquerybeat/include/fields.go | 2 +- 102 files changed, 2386 insertions(+), 3700 deletions(-) diff --git a/CHANGELOG.next.asciidoc b/CHANGELOG.next.asciidoc index 9fff422ab10..8308f6c3a41 100644 --- a/CHANGELOG.next.asciidoc +++ b/CHANGELOG.next.asciidoc @@ -19,7 +19,6 @@ https://github.com/elastic/beats/compare/v7.0.0-alpha2...master[Check the HEAD d - Remove deprecated config option aws_partition. {pull}28120[28120] - Improve stats API {pull}27963[27963] - Enable IMDSv2 support for `add_cloud_metadata` processor on AWS. {issue}22101[22101] {pull}28285[28285] -- Update kubernetes.namespace from keyword to group field and add name, labels, annotations, uuid as its fields {pull}27917[27917] - Libbeat: logp package forces ECS compliant logs. Logs are JSON formatted. Options to enable ECS/JSON have been removed. {issue}15544[15544] {pull}28573[28573] - Previously, RE2 and thus Golang had a bug where `(|a)*` matched more characters than `(|a)+`. To stay consistent with PCRE, the bug was fixed. Configurations that rely on the old, buggy behaviour has to be adjusted. See more about Golang bug: https://github.com/golang/go/issues/46123 {pull}27543[27543] - Update docker client. {pull}28716[28716] diff --git a/auditbeat/docs/fields.asciidoc b/auditbeat/docs/fields.asciidoc index 57191196dea..646b9cb9f69 100644 --- a/auditbeat/docs/fields.asciidoc +++ b/auditbeat/docs/fields.asciidoc @@ -18222,47 +18222,16 @@ type: ip -- - -*`kubernetes.namespace.name`*:: +*`kubernetes.namespace`*:: + -- -Kubernetes namespace name +Kubernetes namespace type: keyword -- -*`kubernetes.namespace.uuid`*:: -+ --- -Kubernetes namespace uuid - - -type: keyword - --- - -*`kubernetes.namespace.labels.*`*:: -+ --- -Kubernetes namespace labels map - - -type: object - --- - -*`kubernetes.namespace.annotations.*`*:: -+ --- -Kubernetes namespace annotations map - - -type: object - --- - *`kubernetes.node.name`*:: + -- diff --git a/auditbeat/include/fields.go b/auditbeat/include/fields.go index 298c6653d6e..6d8c386ba38 100644 --- a/auditbeat/include/fields.go +++ b/auditbeat/include/fields.go @@ -32,5 +32,5 @@ func init() { // AssetFieldsYml returns asset data. // This is the base64 encoded zlib format compressed contents of fields.yml. func AssetFieldsYml() string { - return 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" + return 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" } diff --git a/filebeat/docs/fields.asciidoc b/filebeat/docs/fields.asciidoc index 34b05a0fd24..0dd3105d399 100644 --- a/filebeat/docs/fields.asciidoc +++ b/filebeat/docs/fields.asciidoc @@ -86641,47 +86641,16 @@ type: ip -- - -*`kubernetes.namespace.name`*:: +*`kubernetes.namespace`*:: + -- -Kubernetes namespace name +Kubernetes namespace type: keyword -- -*`kubernetes.namespace.uuid`*:: -+ --- -Kubernetes namespace uuid - - -type: keyword - --- - -*`kubernetes.namespace.labels.*`*:: -+ --- -Kubernetes namespace labels map - - -type: object - --- - -*`kubernetes.namespace.annotations.*`*:: -+ --- -Kubernetes namespace annotations map - - -type: object - --- - *`kubernetes.node.name`*:: + -- diff --git a/filebeat/include/fields.go b/filebeat/include/fields.go index 71cfa106bc2..920a6dc8e7e 100644 --- a/filebeat/include/fields.go +++ b/filebeat/include/fields.go @@ -32,5 +32,5 @@ func init() { // AssetFieldsYml returns asset data. // This is the base64 encoded zlib format compressed contents of fields.yml. func AssetFieldsYml() string { - return 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" + return 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" } diff --git a/heartbeat/docs/fields.asciidoc b/heartbeat/docs/fields.asciidoc index ad0359e269f..1be13cd8827 100644 --- a/heartbeat/docs/fields.asciidoc +++ b/heartbeat/docs/fields.asciidoc @@ -15804,47 +15804,16 @@ type: ip -- - -*`kubernetes.namespace.name`*:: +*`kubernetes.namespace`*:: + -- -Kubernetes namespace name +Kubernetes namespace type: keyword -- -*`kubernetes.namespace.uuid`*:: -+ --- -Kubernetes namespace uuid - - -type: keyword - --- - -*`kubernetes.namespace.labels.*`*:: -+ --- -Kubernetes namespace labels map - - -type: object - --- - -*`kubernetes.namespace.annotations.*`*:: -+ --- -Kubernetes namespace annotations map - - -type: object - --- - *`kubernetes.node.name`*:: + -- diff --git a/heartbeat/include/fields.go b/heartbeat/include/fields.go index d56c982c2e2..e512932b269 100644 --- a/heartbeat/include/fields.go +++ b/heartbeat/include/fields.go @@ -32,5 +32,5 @@ func init() { // AssetFieldsYml returns asset data. // This is the base64 encoded zlib format compressed contents of fields.yml. func AssetFieldsYml() string { - return 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" + return 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" } diff --git a/journalbeat/docs/fields.asciidoc b/journalbeat/docs/fields.asciidoc index d0900854735..f69b2225c1f 100644 --- a/journalbeat/docs/fields.asciidoc +++ b/journalbeat/docs/fields.asciidoc @@ -16149,47 +16149,16 @@ type: ip -- - -*`kubernetes.namespace.name`*:: +*`kubernetes.namespace`*:: + -- -Kubernetes namespace name +Kubernetes namespace type: keyword -- -*`kubernetes.namespace.uuid`*:: -+ --- -Kubernetes namespace uuid - - -type: keyword - --- - -*`kubernetes.namespace.labels.*`*:: -+ --- -Kubernetes namespace labels map - - -type: object - --- - -*`kubernetes.namespace.annotations.*`*:: -+ --- -Kubernetes namespace annotations map - - -type: object - --- - *`kubernetes.node.name`*:: + -- diff --git a/journalbeat/include/fields.go b/journalbeat/include/fields.go index 244c702bf9e..0e063a35e4e 100644 --- a/journalbeat/include/fields.go +++ b/journalbeat/include/fields.go @@ -32,5 +32,5 @@ func init() { // AssetFieldsYml returns asset data. // This is the base64 encoded zlib format compressed contents of fields.yml. func AssetFieldsYml() string { - return 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" + return 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" } diff --git a/libbeat/autodiscover/providers/kubernetes/pod.go b/libbeat/autodiscover/providers/kubernetes/pod.go index e380712f182..2e637cda41d 100644 --- a/libbeat/autodiscover/providers/kubernetes/pod.go +++ b/libbeat/autodiscover/providers/kubernetes/pod.go @@ -189,8 +189,7 @@ func (p *pod) GenerateHints(event bus.Event) bus.Event { } // Look at all the namespace level default annotations and do a merge with priority going to the pod annotations. - rawNsAnn, err := kubeMeta.GetValue("namespace.annotations") - if err == nil { + if rawNsAnn, ok := kubeMeta["namespace_annotations"]; ok { namespaceAnnotations, _ := rawNsAnn.(common.MapStr) if len(namespaceAnnotations) != 0 { annotations.DeepUpdateNoOverwrite(namespaceAnnotations) @@ -385,7 +384,7 @@ func (p *pod) containerPodEvents(flag string, pod *kubernetes.Pod, c *containerI "runtime": c.runtime, } if len(namespaceAnnotations) != 0 { - kubemeta.Put("namespace.annotations", namespaceAnnotations) + kubemeta["namespace_annotations"] = namespaceAnnotations } ports := c.spec.Ports @@ -437,7 +436,7 @@ func (p *pod) podEvent(flag string, pod *kubernetes.Pod, ports common.MapStr, in kubemeta = kubemeta.Clone() kubemeta["annotations"] = annotations if len(namespaceAnnotations) != 0 { - kubemeta.Put("namespace.annotations", namespaceAnnotations) + kubemeta["namespace_annotations"] = namespaceAnnotations } // Don't set a port on the event diff --git a/libbeat/autodiscover/providers/kubernetes/pod_test.go b/libbeat/autodiscover/providers/kubernetes/pod_test.go index 266a15fb159..ed24f455416 100644 --- a/libbeat/autodiscover/providers/kubernetes/pod_test.go +++ b/libbeat/autodiscover/providers/kubernetes/pod_test.go @@ -162,19 +162,17 @@ func TestGenerateHints(t *testing.T) { "co.elastic.logs/json.keys_under_root": "true", "not.to.include": "true", }), + "namespace_annotations": getNestedAnnotations(common.MapStr{ + "co.elastic.metrics/module": "prometheus", + "co.elastic.metrics/period": "10s", + "co.elastic.metrics.foobar/period": "15s", + }), "container": common.MapStr{ "name": "foobar", "id": "abc", "runtime": "docker", }, - "namespace": common.MapStr{ - "name": "ns", - "annotations": getNestedAnnotations(common.MapStr{ - "co.elastic.metrics/module": "prometheus", - "co.elastic.metrics/period": "10s", - "co.elastic.metrics.foobar/period": "15s", - }), - }, + "namespace": "ns", }, }, result: bus.Event{ @@ -184,19 +182,17 @@ func TestGenerateHints(t *testing.T) { "co.elastic.logs/json.keys_under_root": "true", "not.to.include": "true", }), + "namespace_annotations": getNestedAnnotations(common.MapStr{ + "co.elastic.metrics/period": "10s", + "co.elastic.metrics.foobar/period": "15s", + "co.elastic.metrics/module": "prometheus", + }), "container": common.MapStr{ "name": "foobar", "id": "abc", "runtime": "docker", }, - "namespace": common.MapStr{ - "name": "ns", - "annotations": getNestedAnnotations(common.MapStr{ - "co.elastic.metrics/period": "10s", - "co.elastic.metrics.foobar/period": "15s", - "co.elastic.metrics/module": "prometheus", - }), - }, + "namespace": "ns", }, "hints": common.MapStr{ "logs": common.MapStr{ @@ -231,14 +227,12 @@ func TestGenerateHints(t *testing.T) { "co.elastic.metrics.foobar/period": "15s", "not.to.include": "true", }), - "namespace": common.MapStr{ - "name": "ns", - "annotations": getNestedAnnotations(common.MapStr{ - "co.elastic.metrics/module": "dropwizard", - "co.elastic.metrics/period": "60s", - "co.elastic.metrics.foobar/period": "25s", - }), - }, + "namespace_annotations": getNestedAnnotations(common.MapStr{ + "co.elastic.metrics/module": "dropwizard", + "co.elastic.metrics/period": "60s", + "co.elastic.metrics.foobar/period": "25s", + }), + "namespace": "ns", "container": common.MapStr{ "name": "foobar", "id": "abc", @@ -254,19 +248,17 @@ func TestGenerateHints(t *testing.T) { "co.elastic.metrics.foobar/period": "15s", "not.to.include": "true", }), + "namespace_annotations": getNestedAnnotations(common.MapStr{ + "co.elastic.metrics/module": "dropwizard", + "co.elastic.metrics/period": "60s", + "co.elastic.metrics.foobar/period": "25s", + }), "container": common.MapStr{ "name": "foobar", "id": "abc", "runtime": "docker", }, - "namespace": common.MapStr{ - "name": "ns", - "annotations": getNestedAnnotations(common.MapStr{ - "co.elastic.metrics/module": "dropwizard", - "co.elastic.metrics/period": "60s", - "co.elastic.metrics.foobar/period": "25s", - }), - }, + "namespace": "ns", }, "hints": common.MapStr{ "metrics": common.MapStr{ @@ -287,36 +279,32 @@ func TestGenerateHints(t *testing.T) { { event: bus.Event{ "kubernetes": common.MapStr{ + "namespace_annotations": getNestedAnnotations(common.MapStr{ + "co.elastic.metrics/module": "prometheus", + "co.elastic.metrics/period": "10s", + "co.elastic.metrics.foobar/period": "15s", + }), "container": common.MapStr{ "name": "foobar", "id": "abc", "runtime": "docker", }, - "namespace": common.MapStr{ - "name": "ns", - "annotations": getNestedAnnotations(common.MapStr{ - "co.elastic.metrics/module": "prometheus", - "co.elastic.metrics/period": "10s", - "co.elastic.metrics.foobar/period": "15s", - }), - }, + "namespace": "ns", }, }, result: bus.Event{ "kubernetes": common.MapStr{ + "namespace_annotations": getNestedAnnotations(common.MapStr{ + "co.elastic.metrics/module": "prometheus", + "co.elastic.metrics/period": "10s", + "co.elastic.metrics.foobar/period": "15s", + }), "container": common.MapStr{ "name": "foobar", "id": "abc", "runtime": "docker", }, - "namespace": common.MapStr{ - "name": "ns", - "annotations": getNestedAnnotations(common.MapStr{ - "co.elastic.metrics/module": "prometheus", - "co.elastic.metrics/period": "10s", - "co.elastic.metrics.foobar/period": "15s", - }), - }, + "namespace": "ns", }, "hints": common.MapStr{ "metrics": common.MapStr{ @@ -419,16 +407,12 @@ func TestPod_EmitEvent(t *testing.T) { "node": common.MapStr{ "name": "node", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "annotations": common.MapStr{}, }, "meta": common.MapStr{ "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "pod": common.MapStr{ "name": "filebeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", @@ -461,16 +445,12 @@ func TestPod_EmitEvent(t *testing.T) { "node": common.MapStr{ "name": "node", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "annotations": common.MapStr{}, }, "meta": common.MapStr{ "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "pod": common.MapStr{ "name": "filebeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", @@ -555,16 +535,12 @@ func TestPod_EmitEvent(t *testing.T) { "node": common.MapStr{ "name": "node", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "annotations": common.MapStr{}, }, "meta": common.MapStr{ "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "pod": common.MapStr{ "name": "filebeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", @@ -597,16 +573,12 @@ func TestPod_EmitEvent(t *testing.T) { "node": common.MapStr{ "name": "node", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "annotations": common.MapStr{}, }, "meta": common.MapStr{ "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "pod": common.MapStr{ "name": "filebeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", @@ -646,16 +618,12 @@ func TestPod_EmitEvent(t *testing.T) { "node": common.MapStr{ "name": "node", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "annotations": common.MapStr{}, }, "meta": common.MapStr{ "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "pod": common.MapStr{ "name": "filebeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", @@ -736,16 +704,12 @@ func TestPod_EmitEvent(t *testing.T) { "node": common.MapStr{ "name": "node", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "annotations": common.MapStr{}, }, "meta": common.MapStr{ "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "pod": common.MapStr{ "name": "filebeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", @@ -776,16 +740,12 @@ func TestPod_EmitEvent(t *testing.T) { "node": common.MapStr{ "name": "node", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "annotations": common.MapStr{}, }, "meta": common.MapStr{ "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "pod": common.MapStr{ "name": "filebeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", @@ -823,16 +783,12 @@ func TestPod_EmitEvent(t *testing.T) { "node": common.MapStr{ "name": "node", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "annotations": common.MapStr{}, }, "meta": common.MapStr{ "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "pod": common.MapStr{ "name": "filebeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", @@ -960,16 +916,12 @@ func TestPod_EmitEvent(t *testing.T) { "node": common.MapStr{ "name": "node", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "annotations": common.MapStr{}, }, "meta": common.MapStr{ "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "pod": common.MapStr{ "name": "filebeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", @@ -998,16 +950,12 @@ func TestPod_EmitEvent(t *testing.T) { "node": common.MapStr{ "name": "node", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "annotations": common.MapStr{}, }, "meta": common.MapStr{ "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "pod": common.MapStr{ "name": "filebeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", @@ -1071,16 +1019,12 @@ func TestPod_EmitEvent(t *testing.T) { "node": common.MapStr{ "name": "node", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "annotations": common.MapStr{}, }, "meta": common.MapStr{ "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "pod": common.MapStr{ "name": "filebeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", @@ -1111,16 +1055,12 @@ func TestPod_EmitEvent(t *testing.T) { "node": common.MapStr{ "name": "node", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "annotations": common.MapStr{}, }, "meta": common.MapStr{ "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "pod": common.MapStr{ "name": "filebeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", @@ -1201,16 +1141,12 @@ func TestPod_EmitEvent(t *testing.T) { "node": common.MapStr{ "name": "node", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "annotations": common.MapStr{}, }, "meta": common.MapStr{ "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "pod": common.MapStr{ "name": "filebeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", @@ -1241,16 +1177,12 @@ func TestPod_EmitEvent(t *testing.T) { "node": common.MapStr{ "name": "node", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "annotations": common.MapStr{}, }, "meta": common.MapStr{ "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "pod": common.MapStr{ "name": "filebeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", @@ -1288,16 +1220,12 @@ func TestPod_EmitEvent(t *testing.T) { "node": common.MapStr{ "name": "node", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "annotations": common.MapStr{}, }, "meta": common.MapStr{ "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "pod": common.MapStr{ "name": "filebeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", @@ -1392,16 +1320,12 @@ func TestPod_EmitEvent(t *testing.T) { "node": common.MapStr{ "name": "node", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "annotations": common.MapStr{}, }, "meta": common.MapStr{ "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "pod": common.MapStr{ "name": "filebeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", @@ -1434,16 +1358,12 @@ func TestPod_EmitEvent(t *testing.T) { "node": common.MapStr{ "name": "node", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "annotations": common.MapStr{}, }, "meta": common.MapStr{ "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "pod": common.MapStr{ "name": "filebeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", @@ -1481,16 +1401,12 @@ func TestPod_EmitEvent(t *testing.T) { "node": common.MapStr{ "name": "node", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "annotations": common.MapStr{}, }, "meta": common.MapStr{ "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "pod": common.MapStr{ "name": "filebeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", @@ -1561,16 +1477,12 @@ func TestPod_EmitEvent(t *testing.T) { "node": common.MapStr{ "name": "node", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "annotations": common.MapStr{}, }, "meta": common.MapStr{ "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "pod": common.MapStr{ "name": "filebeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", @@ -1603,16 +1515,12 @@ func TestPod_EmitEvent(t *testing.T) { "node": common.MapStr{ "name": "node", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "annotations": common.MapStr{}, }, "meta": common.MapStr{ "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "pod": common.MapStr{ "name": "filebeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", @@ -1685,16 +1593,12 @@ func TestPod_EmitEvent(t *testing.T) { "node": common.MapStr{ "name": "node", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "annotations": common.MapStr{}, }, "meta": common.MapStr{ "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "pod": common.MapStr{ "name": "filebeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", @@ -1727,16 +1631,12 @@ func TestPod_EmitEvent(t *testing.T) { "node": common.MapStr{ "name": "node", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "annotations": common.MapStr{}, }, "meta": common.MapStr{ "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "pod": common.MapStr{ "name": "filebeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", @@ -1840,16 +1740,12 @@ func TestPod_EmitEvent(t *testing.T) { "node": common.MapStr{ "name": "node", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "annotations": common.MapStr{}, }, "meta": common.MapStr{ "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "pod": common.MapStr{ "name": "filebeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", @@ -1883,16 +1779,12 @@ func TestPod_EmitEvent(t *testing.T) { "node": common.MapStr{ "name": "node", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "annotations": common.MapStr{}, }, "meta": common.MapStr{ "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "pod": common.MapStr{ "name": "filebeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", @@ -1933,16 +1825,12 @@ func TestPod_EmitEvent(t *testing.T) { "node": common.MapStr{ "name": "node", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "annotations": common.MapStr{}, }, "meta": common.MapStr{ "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "pod": common.MapStr{ "name": "filebeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", @@ -1983,16 +1871,12 @@ func TestPod_EmitEvent(t *testing.T) { "node": common.MapStr{ "name": "node", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "annotations": common.MapStr{}, }, "meta": common.MapStr{ "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "pod": common.MapStr{ "name": "filebeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", diff --git a/libbeat/autodiscover/providers/kubernetes/service.go b/libbeat/autodiscover/providers/kubernetes/service.go index 80942728fcc..9b3c6a0aa77 100644 --- a/libbeat/autodiscover/providers/kubernetes/service.go +++ b/libbeat/autodiscover/providers/kubernetes/service.go @@ -140,8 +140,7 @@ func (s *service) GenerateHints(event bus.Event) bus.Event { } // Look at all the namespace level default annotations and do a merge with priority going to the pod annotations. - rawNsAnn, err := kubeMeta.GetValue("namespace.annotations") - if err == nil { + if rawNsAnn, ok := kubeMeta["namespace_annotations"]; ok { nsAnn, _ := rawNsAnn.(common.MapStr) if len(nsAnn) != 0 { annotations.DeepUpdateNoOverwrite(nsAnn) @@ -215,7 +214,7 @@ func (s *service) emit(svc *kubernetes.Service, flag string) { for k, v := range namespace.GetAnnotations() { safemapstr.Put(nsAnns, k, v) } - kubemeta.Put("namespace.annotations", nsAnns) + kubemeta["namespace_annotations"] = nsAnns } } } diff --git a/libbeat/autodiscover/providers/kubernetes/service_test.go b/libbeat/autodiscover/providers/kubernetes/service_test.go index 1a8dd4696c6..c9ee7764632 100644 --- a/libbeat/autodiscover/providers/kubernetes/service_test.go +++ b/libbeat/autodiscover/providers/kubernetes/service_test.go @@ -108,15 +108,13 @@ func TestGenerateHints_Service(t *testing.T) { "co.elastic.metrics/module": "prometheus", "not.to.include": "true", }), + "namespace_annotations": getNestedAnnotations(common.MapStr{ + "co.elastic.metrics/period": "10s", + }), "service": common.MapStr{ "name": "foobar", }, - "namespace": common.MapStr{ - "name": "ns", - "annotations": getNestedAnnotations(common.MapStr{ - "co.elastic.metrics/period": "10s", - }), - }, + "namespace": "ns", }, }, result: bus.Event{ @@ -128,12 +126,10 @@ func TestGenerateHints_Service(t *testing.T) { "service": common.MapStr{ "name": "foobar", }, - "namespace": common.MapStr{ - "name": "ns", - "annotations": getNestedAnnotations(common.MapStr{ - "co.elastic.metrics/period": "10s", - }), - }, + "namespace_annotations": getNestedAnnotations(common.MapStr{ + "co.elastic.metrics/period": "10s", + }), + "namespace": "ns", }, "hints": common.MapStr{ "metrics": common.MapStr{ @@ -154,13 +150,11 @@ func TestGenerateHints_Service(t *testing.T) { "co.elastic.metrics/period": "10s", "not.to.include": "true", }), - "namespace": common.MapStr{ - "name": "ns", - "annotations": getNestedAnnotations(common.MapStr{ - "co.elastic.metrics/module": "dropwizard", - "co.elastic.metrics/period": "60s", - }), - }, + "namespace_annotations": getNestedAnnotations(common.MapStr{ + "co.elastic.metrics/module": "dropwizard", + "co.elastic.metrics/period": "60s", + }), + "namespace": "ns", "service": common.MapStr{ "name": "foobar", }, @@ -173,13 +167,11 @@ func TestGenerateHints_Service(t *testing.T) { "co.elastic.metrics/period": "10s", "not.to.include": "true", }), - "namespace": common.MapStr{ - "name": "ns", - "annotations": getNestedAnnotations(common.MapStr{ - "co.elastic.metrics/module": "dropwizard", - "co.elastic.metrics/period": "60s", - }), - }, + "namespace_annotations": getNestedAnnotations(common.MapStr{ + "co.elastic.metrics/module": "dropwizard", + "co.elastic.metrics/period": "60s", + }), + "namespace": "ns", "service": common.MapStr{ "name": "foobar", }, @@ -198,30 +190,26 @@ func TestGenerateHints_Service(t *testing.T) { { event: bus.Event{ "kubernetes": common.MapStr{ + "namespace_annotations": getNestedAnnotations(common.MapStr{ + "co.elastic.metrics/module": "prometheus", + "co.elastic.metrics/period": "10s", + }), "service": common.MapStr{ "name": "foobar", }, - "namespace": common.MapStr{ - "name": "ns", - "annotations": getNestedAnnotations(common.MapStr{ - "co.elastic.metrics/module": "prometheus", - "co.elastic.metrics/period": "10s", - }), - }, + "namespace": "ns", }, }, result: bus.Event{ "kubernetes": common.MapStr{ + "namespace_annotations": getNestedAnnotations(common.MapStr{ + "co.elastic.metrics/module": "prometheus", + "co.elastic.metrics/period": "10s", + }), "service": common.MapStr{ "name": "foobar", }, - "namespace": common.MapStr{ - "name": "ns", - "annotations": getNestedAnnotations(common.MapStr{ - "co.elastic.metrics/module": "prometheus", - "co.elastic.metrics/period": "10s", - }), - }, + "namespace": "ns", }, "hints": common.MapStr{ "metrics": common.MapStr{ @@ -298,16 +286,12 @@ func TestEmitEvent_Service(t *testing.T) { "name": "metricbeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "annotations": common.MapStr{}, }, "meta": common.MapStr{ "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "service": common.MapStr{ "name": "metricbeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", @@ -389,16 +373,12 @@ func TestEmitEvent_Service(t *testing.T) { "name": "metricbeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "annotations": common.MapStr{}, }, "meta": common.MapStr{ "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "service": common.MapStr{ "name": "metricbeat", "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", diff --git a/libbeat/common/kubernetes/k8skeystore/kubernetes_keystore.go b/libbeat/common/kubernetes/k8skeystore/kubernetes_keystore.go index 3497a0a0361..0279e0a9a4d 100644 --- a/libbeat/common/kubernetes/k8skeystore/kubernetes_keystore.go +++ b/libbeat/common/kubernetes/k8skeystore/kubernetes_keystore.go @@ -62,7 +62,7 @@ func (kr *KubernetesKeystoresRegistry) GetKeystore(event bus.Event) keystore.Key namespace := "" if val, ok := event["kubernetes"]; ok { kubernetesMeta := val.(common.MapStr) - ns, err := kubernetesMeta.GetValue("namespace.name") + ns, err := kubernetesMeta.GetValue("namespace") if err != nil { kr.logger.Debugf("Cannot retrieve kubernetes namespace from event: %s", event) return nil diff --git a/libbeat/common/kubernetes/k8skeystore/kubernetes_keystore_test.go b/libbeat/common/kubernetes/k8skeystore/kubernetes_keystore_test.go index 68656b0b4e7..359479b9eb8 100644 --- a/libbeat/common/kubernetes/k8skeystore/kubernetes_keystore_test.go +++ b/libbeat/common/kubernetes/k8skeystore/kubernetes_keystore_test.go @@ -34,10 +34,10 @@ import ( func TestGetKeystore(t *testing.T) { kRegistry := NewKubernetesKeystoresRegistry(nil, nil) - k1 := kRegistry.GetKeystore(bus.Event{"kubernetes": common.MapStr{"namespace": common.MapStr{"name": "my_namespace"}}}) - k2 := kRegistry.GetKeystore(bus.Event{"kubernetes": common.MapStr{"namespace": common.MapStr{"name": "my_namespace"}}}) + k1 := kRegistry.GetKeystore(bus.Event{"kubernetes": common.MapStr{"namespace": "my_namespace"}}) + k2 := kRegistry.GetKeystore(bus.Event{"kubernetes": common.MapStr{"namespace": "my_namespace"}}) assert.Equal(t, k1, k2) - k3 := kRegistry.GetKeystore(bus.Event{"kubernetes": common.MapStr{"namespace": common.MapStr{"name": "my_namespace_2"}}}) + k3 := kRegistry.GetKeystore(bus.Event{"kubernetes": common.MapStr{"namespace": "my_namespace_2"}}) assert.NotEqual(t, k2, k3) } @@ -64,7 +64,7 @@ func TestGetKeystoreAndRetrieve(t *testing.T) { } kRegistry := NewKubernetesKeystoresRegistry(nil, client) - k1 := kRegistry.GetKeystore(bus.Event{"kubernetes": common.MapStr{"namespace": common.MapStr{"name": ns}}}) + k1 := kRegistry.GetKeystore(bus.Event{"kubernetes": common.MapStr{"namespace": ns}}) key := "kubernetes.test_namespace.testing_secret.secret_value" secure, err := k1.Retrieve(key) if err != nil { @@ -100,7 +100,7 @@ func TestGetKeystoreAndRetrieveWithNonAllowedNamespace(t *testing.T) { } kRegistry := NewKubernetesKeystoresRegistry(logger, client) - k1 := kRegistry.GetKeystore(bus.Event{"kubernetes": common.MapStr{"namespace": common.MapStr{"name": ns}}}) + k1 := kRegistry.GetKeystore(bus.Event{"kubernetes": common.MapStr{"namespace": ns}}) key := "kubernetes.test_namespace_HACK.testing_secret.secret_value" _, err = k1.Retrieve(key) assert.Error(t, err) @@ -130,7 +130,7 @@ func TestGetKeystoreAndRetrieveWithWrongKeyFormat(t *testing.T) { } kRegistry := NewKubernetesKeystoresRegistry(logger, client) - k1 := kRegistry.GetKeystore(bus.Event{"kubernetes": common.MapStr{"namespace": common.MapStr{"name": ns}}}) + k1 := kRegistry.GetKeystore(bus.Event{"kubernetes": common.MapStr{"namespace": ns}}) key := "HACK_test_namespace_HACK.testing_secret.secret_value" _, err = k1.Retrieve(key) assert.Error(t, err) @@ -142,7 +142,7 @@ func TestGetKeystoreAndRetrieveWithNoSecretsExistent(t *testing.T) { ns := "test_namespace" kRegistry := NewKubernetesKeystoresRegistry(logger, client) - k1 := kRegistry.GetKeystore(bus.Event{"kubernetes": common.MapStr{"namespace": common.MapStr{"name": ns}}}) + k1 := kRegistry.GetKeystore(bus.Event{"kubernetes": common.MapStr{"namespace": ns}}) key := "kubernetes.test_namespace.testing_secret.secret_value" _, err := k1.Retrieve(key) assert.Error(t, err) @@ -172,7 +172,7 @@ func TestGetKeystoreAndRetrieveWithWrongSecretName(t *testing.T) { } kRegistry := NewKubernetesKeystoresRegistry(logger, client) - k1 := kRegistry.GetKeystore(bus.Event{"kubernetes": common.MapStr{"namespace": common.MapStr{"name": ns}}}) + k1 := kRegistry.GetKeystore(bus.Event{"kubernetes": common.MapStr{"namespace": ns}}) key := "kubernetes.test_namespace.testing_secret_WRONG.secret_value" _, err = k1.Retrieve(key) assert.Error(t, err) @@ -202,7 +202,7 @@ func TestGetKeystoreAndRetrieveWithWrongSecretValue(t *testing.T) { } kRegistry := NewKubernetesKeystoresRegistry(logger, client) - k1 := kRegistry.GetKeystore(bus.Event{"kubernetes": common.MapStr{"namespace": common.MapStr{"name": ns}}}) + k1 := kRegistry.GetKeystore(bus.Event{"kubernetes": common.MapStr{"namespace": ns}}) key := "kubernetes.test_namespace.testing_secret.secret_value_WRONG" _, err = k1.Retrieve(key) assert.Error(t, err) diff --git a/libbeat/common/kubernetes/metadata/namespace.go b/libbeat/common/kubernetes/metadata/namespace.go index 424eab15d9a..920a0ecf2a1 100644 --- a/libbeat/common/kubernetes/metadata/namespace.go +++ b/libbeat/common/kubernetes/metadata/namespace.go @@ -70,7 +70,7 @@ func (n *namespace) GenerateK8s(obj kubernetes.Resource, opts ...FieldOptions) c } meta := n.resource.GenerateK8s(resource, obj, opts...) - meta = unifyResourceMetadata(meta) + meta = flattenMetadata(meta) // TODO: Add extra fields in here if need be return meta @@ -94,39 +94,25 @@ func (n *namespace) GenerateFromName(name string, opts ...FieldOptions) common.M return nil } -// unifyResourceMetadata moves all the resource's metadata (labels, annotations) -// under the resource field -// example input: -// "kubernetes": common.MapStr{ -// "labels": common.MapStr{ -// "foo": "bar", -// }, -// "annotations": common.MapStr{ -// "spam": "baz", -// }, -// "namespace": common.MapStr{ -// "name": name, -// "uid": uid, -// }, -// }, -// example output: -// "kubernetes": common.MapStr{ -// "namespace": common.MapStr{ -// "name": name, -// "uid": uid, -// "labels": common.MapStr{ -// "foo": "bar", -// }, -// "annotations": common.MapStr{ -// "spam": "baz", -// }, -// }, -// }, -func unifyResourceMetadata(in common.MapStr) common.MapStr { - resourceValues, ok := in[resource].(common.MapStr) +func flattenMetadata(in common.MapStr) common.MapStr { + out := common.MapStr{} + rawFields, err := in.GetValue(resource) + if err != nil { + return nil + } + + fields, ok := rawFields.(common.MapStr) if !ok { - return in + return nil } + for k, v := range fields { + if k == "name" { + out[resource] = v + } else { + out[resource+"_"+k] = v + } + } + populateFromKeys := []string{"labels", "annotations"} for _, key := range populateFromKeys { rawValues, err := in.GetValue(key) @@ -135,10 +121,9 @@ func unifyResourceMetadata(in common.MapStr) common.MapStr { } values, ok := rawValues.(common.MapStr) if ok { - resourceValues.Put(key, values) - in.Delete(key) + out[resource+"_"+key] = values } } - return in + return out } diff --git a/libbeat/common/kubernetes/metadata/namespace_test.go b/libbeat/common/kubernetes/metadata/namespace_test.go index 12f4f1377d9..65ae39d8f5f 100644 --- a/libbeat/common/kubernetes/metadata/namespace_test.go +++ b/libbeat/common/kubernetes/metadata/namespace_test.go @@ -61,20 +61,16 @@ func TestNamespace_Generate(t *testing.T) { APIVersion: "v1", }, }, - output: common.MapStr{ - "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": name, - "uid": uid, - "labels": common.MapStr{ - "foo": "bar", - }, - "annotations": common.MapStr{ - "spam": "baz", - }, - }, + output: common.MapStr{"kubernetes": common.MapStr{ + "namespace": name, + "namespace_uid": uid, + "namespace_labels": common.MapStr{ + "foo": "bar", }, - }, + "namespace_annotations": common.MapStr{ + "spam": "baz", + }, + }}, }, } @@ -121,15 +117,13 @@ func TestNamespace_GenerateFromName(t *testing.T) { }, }, output: common.MapStr{ - "namespace": common.MapStr{ - "name": name, - "uid": uid, - "labels": common.MapStr{ - "foo": "bar", - }, - "annotations": common.MapStr{ - "spam": "baz", - }, + "namespace": name, + "namespace_uid": uid, + "namespace_labels": common.MapStr{ + "foo": "bar", + }, + "namespace_annotations": common.MapStr{ + "spam": "baz", }, }, }, diff --git a/libbeat/common/kubernetes/metadata/pod_test.go b/libbeat/common/kubernetes/metadata/pod_test.go index 0ea6053a1fb..12e2da4fd3c 100644 --- a/libbeat/common/kubernetes/metadata/pod_test.go +++ b/libbeat/common/kubernetes/metadata/pod_test.go @@ -133,9 +133,7 @@ func TestPod_Generate(t *testing.T) { "annotations": common.MapStr{ "app": "production", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "node": common.MapStr{ "name": "testnode", }, @@ -181,9 +179,7 @@ func TestPod_Generate(t *testing.T) { "uid": uid, "ip": "127.0.0.5", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "deployment": common.MapStr{ "name": "owner", }, @@ -238,9 +234,7 @@ func TestPod_Generate(t *testing.T) { "uid": uid, "ip": "127.0.0.5", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "daemonset": common.MapStr{ "name": "owner", }, @@ -295,9 +289,7 @@ func TestPod_Generate(t *testing.T) { "uid": uid, "ip": "127.0.0.5", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "deployment": common.MapStr{ "name": "nginx-deployment", }, @@ -355,9 +347,7 @@ func TestPod_Generate(t *testing.T) { "uid": uid, "ip": "127.0.0.5", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "deployment": common.MapStr{ "name": "nginx-deployment", }, @@ -432,9 +422,7 @@ func TestPod_GenerateFromName(t *testing.T) { "uid": uid, "ip": "127.0.0.5", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "node": common.MapStr{ "name": "testnode", }, @@ -484,9 +472,7 @@ func TestPod_GenerateFromName(t *testing.T) { "uid": uid, "ip": "127.0.0.5", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "deployment": common.MapStr{ "name": "owner", }, @@ -593,12 +579,10 @@ func TestPod_GenerateWithNodeNamespace(t *testing.T) { "uid": uid, "ip": "127.0.0.5", }, - "namespace": common.MapStr{ - "name": "default", - "uid": uid, - "labels": common.MapStr{ - "nskey": "nsvalue", - }, + "namespace": "default", + "namespace_uid": uid, + "namespace_labels": common.MapStr{ + "nskey": "nsvalue", }, "node": common.MapStr{ "name": "testnode", diff --git a/libbeat/common/kubernetes/metadata/resource.go b/libbeat/common/kubernetes/metadata/resource.go index e9591eebbcf..b15e39b3775 100644 --- a/libbeat/common/kubernetes/metadata/resource.go +++ b/libbeat/common/kubernetes/metadata/resource.go @@ -107,7 +107,7 @@ func (r *Resource) GenerateK8s(kind string, obj kubernetes.Resource, options ... } if accessor.GetNamespace() != "" { - safemapstr.Put(meta, "namespace.name", accessor.GetNamespace()) + safemapstr.Put(meta, "namespace", accessor.GetNamespace()) } // Add controller metadata if present diff --git a/libbeat/common/kubernetes/metadata/resource_test.go b/libbeat/common/kubernetes/metadata/resource_test.go index 2cbe6d3a970..5ed6f20fce0 100644 --- a/libbeat/common/kubernetes/metadata/resource_test.go +++ b/libbeat/common/kubernetes/metadata/resource_test.go @@ -67,9 +67,7 @@ func TestResource_Generate(t *testing.T) { "labels": common.MapStr{ "foo": "bar", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", }, }, }, @@ -108,9 +106,7 @@ func TestResource_Generate(t *testing.T) { "labels": common.MapStr{ "foo": "bar", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "deployment": common.MapStr{ "name": "owner", }, diff --git a/libbeat/common/kubernetes/metadata/service_test.go b/libbeat/common/kubernetes/metadata/service_test.go index 197627aa92c..a4b070b55a2 100644 --- a/libbeat/common/kubernetes/metadata/service_test.go +++ b/libbeat/common/kubernetes/metadata/service_test.go @@ -81,9 +81,7 @@ func TestService_Generate(t *testing.T) { "app": "istiod", "istio": "pilot", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", }, }, }, @@ -132,9 +130,7 @@ func TestService_Generate(t *testing.T) { "app": "istiod", "istio": "pilot", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "deployment": common.MapStr{ "name": "owner", }, @@ -188,9 +184,7 @@ func TestService_GenerateFromName(t *testing.T) { "labels": common.MapStr{ "foo": "bar", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", }, }, { @@ -227,9 +221,7 @@ func TestService_GenerateFromName(t *testing.T) { "labels": common.MapStr{ "foo": "bar", }, - "namespace": common.MapStr{ - "name": "default", - }, + "namespace": "default", "deployment": common.MapStr{ "name": "owner", }, @@ -303,12 +295,10 @@ func TestService_GenerateWithNamespace(t *testing.T) { "labels": common.MapStr{ "foo": "bar", }, - "namespace": common.MapStr{ - "name": "default", - "uid": uid, - "labels": common.MapStr{ - "nskey": "nsvalue", - }, + "namespace": "default", + "namespace_uid": uid, + "namespace_labels": common.MapStr{ + "nskey": "nsvalue", }, }, }, diff --git a/libbeat/processors/add_kubernetes_metadata/_meta/fields.yml b/libbeat/processors/add_kubernetes_metadata/_meta/fields.yml index c390f48e1cf..80be2c80bba 100644 --- a/libbeat/processors/add_kubernetes_metadata/_meta/fields.yml +++ b/libbeat/processors/add_kubernetes_metadata/_meta/fields.yml @@ -25,28 +25,9 @@ Kubernetes Pod IP - name: namespace - type: group - fields: - - name: name - type: keyword - description: > - Kubernetes namespace name - - name: uuid - type: keyword - description: > - Kubernetes namespace uuid - - name: labels.* - type: object - object_type: keyword - object_type_mapping_type: "*" - description: > - Kubernetes namespace labels map - - name: annotations.* - type: object - object_type: keyword - object_type_mapping_type: "*" - description: > - Kubernetes namespace annotations map + type: keyword + description: > + Kubernetes namespace - name: node.name type: keyword diff --git a/libbeat/processors/add_kubernetes_metadata/indexers_test.go b/libbeat/processors/add_kubernetes_metadata/indexers_test.go index 058d838592a..853345c8bd5 100644 --- a/libbeat/processors/add_kubernetes_metadata/indexers_test.go +++ b/libbeat/processors/add_kubernetes_metadata/indexers_test.go @@ -73,9 +73,7 @@ func TestPodIndexer(t *testing.T) { "labels": common.MapStr{ "labelkey": "labelvalue", }, - "namespace": common.MapStr{ - "name": "testns", - }, + "namespace": "testns", "node": common.MapStr{ "name": "testnode", }, @@ -127,9 +125,7 @@ func TestPodUIDIndexer(t *testing.T) { "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", "ip": "127.0.0.5", }, - "namespace": common.MapStr{ - "name": "testns", - }, + "namespace": "testns", "node": common.MapStr{ "name": "testnode", }, @@ -187,9 +183,7 @@ func TestContainerIndexer(t *testing.T) { "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", "ip": "127.0.0.5", }, - "namespace": common.MapStr{ - "name": "testns", - }, + "namespace": "testns", "node": common.MapStr{ "name": "testnode", }, @@ -437,9 +431,7 @@ func TestIpPortIndexer(t *testing.T) { "uid": "005f3b90-4b9d-12f8-acf0-31020a840133", "ip": "1.2.3.4", }, - "namespace": common.MapStr{ - "name": "testns", - }, + "namespace": "testns", "node": common.MapStr{ "name": "testnode", }, diff --git a/metricbeat/docs/fields.asciidoc b/metricbeat/docs/fields.asciidoc index 886ec623bbc..c68ea577da3 100644 --- a/metricbeat/docs/fields.asciidoc +++ b/metricbeat/docs/fields.asciidoc @@ -41165,47 +41165,16 @@ type: ip -- - -*`kubernetes.namespace.name`*:: +*`kubernetes.namespace`*:: + -- -Kubernetes namespace name +Kubernetes namespace type: keyword -- -*`kubernetes.namespace.uuid`*:: -+ --- -Kubernetes namespace uuid - - -type: keyword - --- - -*`kubernetes.namespace.labels.*`*:: -+ --- -Kubernetes namespace labels map - - -type: object - --- - -*`kubernetes.namespace.annotations.*`*:: -+ --- -Kubernetes namespace annotations map - - -type: object - --- - *`kubernetes.node.name`*:: + -- diff --git a/metricbeat/include/fields/fields.go b/metricbeat/include/fields/fields.go index f3cf04b8ba1..ff66aa3b03c 100644 --- a/metricbeat/include/fields/fields.go +++ b/metricbeat/include/fields/fields.go @@ -32,5 +32,5 @@ func init() { // AssetFieldsYml returns asset data. // This is the base64 encoded zlib format compressed contents of fields.yml. func AssetFieldsYml() string { - return "eJzsvft7GzeyKPh7/gqsZr+VlUO2SL0sa+/sXkWSE33Hr7HkyZzE84lgN0hi1AQ6AFo0c/b87/uhCkCjH5IpWXTsjO/N8VBkN1BVKBSqCvX4C/n5+O2r81c//h/kVBIhDWEZN8TMuCYTnjOSccVSky97hBuyoJpMmWCKGpaR8ZKYGSNnJxekUPJfLDW97/5CxlSzjEgB398wpbkU5DAZJIN+xm6S7/5C3uSMakZuuOaGzIwp9NH29pSbWTlOUjnfZjnVhqfbLNXESKLL6ZRpQ9IZFVMGX9mhJ5zlmU6++65PrtnyiLBUf0eI4SZnR/aB7wjJmE4VLwyXAr4iz907xL199B0hfSLonB2Rzf9t+JxpQ+fF5neEEJKzG5YfkVQqBn8r9lvJFcuOiFElfmWWBTsiGTX4Z22+zVNq2LYdkyxmTACp2A0ThkjFp1xYEibfwXuEXFp6cw0PZeE99sEomlpST5ScVyP07MQ8pXm+JIoVimkmDBdTmMiNWE3XuWhaliplYf7zSfQC/kZmVBMhPbQ5CeTpIXvc0LxkAHQAppBFmdtp3LBusglX2sD7DbAUSxm/qaAqeMFyLiq43jqa43qRiVSE5jmOoBNcJ/aBzgu76Js7g+FBf7Df39m9HBweDfaPdveSw/3dXzajZc7pmOW6c4FxNeXYcjJ8gR+v8PtrtlxIlXUs9EmpjZzbB7aRJgXlSgccTqggY0ZKuy2MJDTLyJwZSriYSDWndhD7vcOJXMxkmWewFVMpDOWCCKbt0iE4wL72/x3nOa6BJlQxoo20hKLaQxoAOPMEGmUyvWZqRKjIyOj6UI8cOVqU/O8NWhQ5TwG6jSOyMZGyP6Zqo0c2mLix3xRKZmUKv/9PTOA505pO2R0UnlOTzq6kyJdXhn0wHRR9LhXJ5dTRBFjDDesYwVEGf7JPup97RBaGz/nvgQUty9xwtrDbgwtC4Wn7BVOBQHY6bVSZmtKSMJdTTRbczGRpCBXVDqjB0CPSzJhykoSkuMqpFCk1TESbwEgLxJxQMivnVPQVoxkd54zocj6naklktPniHTkvc8OLPOCuCfvAtd39M7asJpyPuWAZ4cJIIkV4urmmP7E8l+RnqfIsWi1Dp3dthpjp+VRIxa7oWN6wIzIc7Oy1V+4F18bi497TgesNnRJG05nHss5uv8bchCy2s/HPmKvolAnkFCfhj8MXUyXL4ojsdPDR5Yzhm2GV3I5ycpYSOraLjBJxYhZ2I1lZaux5N3FLQcXS0pzaDZnndgv2SMYMfpCKyLFm6sYuD7KrtGw2k3alpCKGXjNN5ozqUrG5fcANGx5rblRNuEjzMmPkB0atSABcNZnTJaG5lkSVwr7t5lU6gcMNEE2+d6i6IfXMyssxq0QzcLaFn/Jce95DIqlSCLtPJBLIwhbhp9yQixlTsSCf0aJglgMtsrBTA6og5C0BhOPGiZRGSGPX3CN7RM5xutQqBXKCSMO+tRuxV8GXWFYgTjEZM2qSaP8ev3kJKoo7ROsIuRWnRbFtUeEpS0jFG7EgziTzpAMJDDoH4RPkFq6JPWqJmSlZTmfkt5KVdny91IbNNcn5NSP/SSfXtEfesowjfxRKpkxrLqZ+UdzjukxnVmC/kFNtqJ4RxINcALkdyXAjApM7Dp/QMjdXsMyRLlJpNNWuGZc8zxIvv9zszZ3etddv3e3NHXb2wTCR2RPcTlUj5cTxA66d53Gn66AYt0qPcAMYGXYnFcuO8WAHUlwIVFHCkHZnFEre8Iz1rM6iC5byCU8Jvg26EddBg3OUjSTQnBnFU8tTQWV9mhwkA/KEzrODva0eyfkYfsavfz2gO7vscHI42R1M9geD4Zju7u2xPba/lx1mz9Lx4U46Hg6epgFEi48hO4OdQX+w0x/sk53do+HgaDgg/zEYDAbk3eXJPwOFays8oblmtWVlxYzNmaL5Fc/qi8rccjzCwvo5CM+sRJxwplBacO32zRM+gQMHTiW91VxibpUYNQfF0OvuNFVS24XQhiorPselISPkEJ6NYPvZjddeoUO6Zwk9qRGiif7j8PQ7wX+zmu398Q6alpVIKMfgvQWodGNGQGrxDgZ06GU19Oy/60DQKawgTuMDoLWCmlB8Ck8/1Dim/IaBxkqFew2fdj/PWF5MytzKTCsBHIZhYLOQ5LmT34QLbahInQbbOH60nRjOIMskTnsilfbECqpAMoSxuSaCsQzNz8WMp7P2VEGQp3JuJ7OWVYT3+cTKD3/QAKp4Avmv5MQwQXI2MYTNC7NsL+VEytoq2oVaxypeLos7ls8fbnYCQvMFXWqijf030NZaAXrmWROX1Rli+K5V3pKKNCIc0YGq1bPI4m6iMaseAY2FT2oLX61YkwFqiz+n6cxag20Sx+N4OjvBvQZS/90dCXViN2A6ABeHSndirVXXVNbSSCHnstTkAjSAj6ivx4LQ6hVUGsiT44st3JhOGXWApVIIBr6Cc2GYEsyQN0oamUp/7j85f7NFlCzhNCwUm/APTJNSZAzPaXv6Kpnbwax0k4rMpWJEMLOQ6prIgilqpLL6rTfv2YzmE/sCJVa9yRmh2ZwLro3dmTdel7ZjZXKOijc1xHksEIn5XIoeSXNGVb6sTkCwaQK0MufpEuyIGQOVwSKYfLJ+JMr5OOi1dx2huQzKW22J3FGB4xCa5zIFHdtB2lo+p3aGr8NGcKvrBnpyfPFqi5QweL6sTiKNNlRYEtwr5zV6RCw53B8ePKshLNWUCv47iM2kfbx8ivoA1upVTOVIBHozn9zpBOhYvkr5aVD+dYQJzNLC/kcpLUe+eHES7cg05w1D8qT65g5L8ti9abee506qHTtyw+3OwI3gF8dtSKcJe+DQQlRsSlUGloM1DKTQveh5tBrGHF2vXAqak0kuF0Sx1BrVNb/F5ckbNyqeUxWYLdjsF/bxCDLYjpqJYC/aZy7+6xUpaHrNzBO9lcAs6OoonEBpTYXuRavo1Sb1hq4CzZtpC4czxTyVjKJCUwAmIRdyzoJxVGo0Mg1Tc7LhfaZSbVRuFcUmXnY5UEQDQY0bzv3snAC4smMWjGBwAkQEcJvRgiWmfpmrKWL40Z3hmMhPYM+yUpeWIG7UyvrmwoL3r1LgAoAxjua192h3DFbRV0jTGtKqWbhefdjH3pUYHJA43rafJ7iMYfOg4kazjGg2p8LwFE4C9sE4HY99QO29hyqVlwM6aHpGkhtu0eW/s8qzYhFlCuw5zU1J3XKcT8hSlirMMaF57pnPnw9Whk6lWvbso15F0YbnOWFCl8rpo85PbdWYjGlj2cOS1BJswvM8iDFaFEoWilPD8uUjWNU0yxTTel2WF+wCdK04nnMTOi0piJ/5mE9LWep8iVwO7wRBurDk0nLOwG9Pcq7BmXn+pmeNaDyNpSLUHjMfiJaWfxJC/quieNAaKx0K94eiCw+T3w+jxH0xQpLVdVFBuIlUzaxE3zIelKOEFyMLyihBsEY9krGCicwZA6jJS1EBAX4et5KVrpX82x3nVCf/tid65OVaGqY/ovZHK44+ofprNUB+sD+goy/cu7md6BgBBWl7gQ73aoAhO6/BIHESHcdPanNOmUxSbpZXa3IenFh9vnN1Xlr7gTk3Yw0cKQwXTJirVGbrgOlyIfs5M4bZYyVj9TvRMPum7ob71fF3H2HUbmTWROBXkVcmTNYGWiozI8dzpnhKO4AshVHLK67lumh+glOQ84vXQPQWhCfHt4K1LtZ0IHWu8gkVNGtTCiT8x70GUyavCsnD8Vq/9JJiyk2ZoSqSUwN/tCDY/G+ykcNtav/pbnIw3DvcHfTIRk7NxhHZ20/2B/vPhofkfzZbQD6uWG84OzVTfa9SRD+hMePJ0yPO2YMKppyQqaKizKniZhnrBkuSWh0FNOpIBzjxR39wpSGHc4XKYsrsoefsikkupXJnZw9cRzNeae3VIYvg5aSYLTW3H/zNXepllI5AeCVNFKkA95IcHSxzOOOnTHps2w6nsdRGin6WttamkNrQfF27bPMNDI9ijWotU17d4eHdtwO5QvTvLiag0nrdVUy4dgkXiWNGroVcCGvjUGJRgYmkIr+cvyERTgRYG1TKG6qWZMEzq8nA8eh2NV7gwMc2/Z7tDfYG9xGzik25FOsUYG9hhrvkV/9vJ7fBtSYJ5mDqFGB/K9mYtfnPave/V7rxox6r1vrmc0Z+B3/gpMZwvXB7eX786jh6rhN4d1BtH6spHMt0+4eSCamvjrmKlLCPMAYvPoJleKCGx/mbYK34cxX1pyfnb272LLefv7k52KrrUXOarmM/vzw+6Qam4bwX0oRb1Dl1iujb5yfk6WBvB+6hMSqOZUfkzBoRMjXMkCdgGHPdI4f9Ma90cKvrbuEVqFONXNDVQpJfy6JgKqWa/ZPM2AeasZTPaU4yPuUG7kCsGmUhhWijMKYDHye2AkSQUmg+dcEobMpUQi7KFO6+b9yDLlYJ724QBhpGnC2LGeuQvoNBfzDo75/Bv7v9nd3aSglqkiZndJ6P3dyxeamo0OhJOX9jsXJ+BQxkfHV8GZx05AlLponzP1upXLkOCXqkvGu6dhkaDp3IL0WMonBhIaYklzQjY5pTkcIZOOGKLWieox9QydIejQ1r1yJdSGXuZ+x600cbxbst4JgadvyvhR7o/7qHFVjD+g2+/SCbb6cOR2tNVjFFb1+PN24NYkERz2fPI22YYtlVl7X5eHqiFUozPp0xbaJJPY1w7h4gUhQs8yDrcuyN1LD+z6tbYdT3ouGcX8rqKxsTKRP3XJLK+YYVXxvxF83ragy+dNfQGTNMzUGrLRRLubb6CqhNFH1hEKsDQaflOOcp0eVkwj+EEeGZJzNjiqPtbXwEn0ikmm4l5FItQSxKVLQ+cKtFopI1XhLN50W+JIZeV+uKvrOcagNiFyMvUacS0hBwAS1YngP2ly9Oq/igjVQm5fVGWzBG1KhxRSD7OrkhTAJMH0yGSWm39m8lzfmEV0uK9+cY1xap8HnuWQX0dcI+pKwwVfgZvFbdUbbYPYF7aUoKqgyPHO6kBQEID45z2f9zv6M2U9k1YICUdk3szCkVlced1PmqF1EgxKO2EBqzXC662bx7T9T3TUzbjcVikTCqTTJfuhGQMXBnUG02ott6BMKNMqO6CicFXEH9CNNU2tyGLsc7iS7Hw9rm69WYuAIPDQrn2vXxW9UYGz3cc0JaAc9zuMxlisuOEBiLwKqaoJHFFaDxGaQem0zsIXXD7KyOURz2T9jli9OtHhpTwZKq6B6IhqKj56/lQAhYlvW8Em2SpC0gm/OGYaMAG7tKwAdft2QEqXibUKxWYjXxCN/X+KbUTCXrZZnYf4c3uFLhvaidHEM35gzuBeTktmORCvLi9PgNBIQixqdhqJhXNtvYsTnl+ZqQe2cxgAm8EZO0AbDSs8NA/opuIiyam7o6BsAJRW8oz+k47zBu8zFThpxxoQ1zjFWjCFwz/mFsB7Ovn+8QybUFpLaDMn18MeLn48bg4m27yKmxynUHeyKca3SpxiuBk7WBmFE9WxcnOEqBtLHzoGNOKWatulaENnViSRAqpFjGqTNon0Ss8k4zF9k5Aix4hve28IfFbhRUgFSKCa4VzWtzUpF1aFUQadjBVGsJ8L0lvhdJ1trdF/1hf7+/M+zvDHb2dvaeDXeeHj7t7xw829nbebY32Ovv7O4Pn+0fPD086A8Hg0EbicdzFn5mOXgxs9YnuushG4OLO0lFE3arDFQyb17SPhrLHytFIY0KWBlm8vcV4JesJ1g1gN78deOaj6mgVxC7uNEjG4qB1i2mV3ZATES6g25VbJksEfAQWua/uD2yDFNSCe7OEGkAQ4HBIiaKhty0Cg30o2EMs3cmQCQzuTXLZkJeVlkOXMfh1lSQs5MdtLjsBp0wk86YhruZaHTCjXaJTRWQdnPX8/FqiVVchzDeOghuXFUKlzGl2FyaEPRLZGk0z1g0UxMyhIkSl9LjEfKsI6pX3b1SPXUQB60GgtwlN7l3+Nhhua5AdQSL8nY9cC5aa06XVp5plk/6Lm0TrVd4yqXiJN+jGISvDFVTZpLvCTGyxtxj5jIPMYvMPuVh2tzUEfW9aPUYu8gqObFEqLGIVJasU2mxcCF5ukcU0wXq1fkyIT/JBbthKiKZZkaTDgTcoA005qU126Vx2ZATuGkL91VKSuNAD4MT57SGU8ALA1lRoeKACDWIx0lNSfOwUI7SmK6Gt2J2gTwD+9kaiNgVsyIy5Og6MsaTeTIGolX09Cmq0icgoVPchStiiGdYs/aiYQSRh+0Wiq4AYWtZK9huoWibozqge4RguRQuBdenGG5We9DNBWweBxPxLOShukN/STI+mTAVu6vh9phD9qVVle1R2zdMUGEIEzdcSTGv39NUsvX454swOc96PlAJ5D95/fZHcp5hpiiE0ZZN/aNtuR4cHDx9+vTw8PDZs2ed5FxnSECboF4FoDmn+g5aBhoGGn0aLdH4alEz47rI6TI2RWI/EpaP6GfsZlV3krPteM7N8qp9m/p4iko0D96Wch/eCCclnq2K4Y0LsEx1ChEXjdjSYErdZ1Sb/rB+O+xza9a39c59TtX5qRfJoEL4A78JKO8Pd3b3rKr8bEDHacYmg26I18jdAeY4+60NdXQNDF+2k7geDaKXXueI8rnuJKPZSeYs42Xd5+8OtG/y9lHk7QpCo0HwbxL5MSWyJ+6fSTCvjvbXI7ofgNMfL9xXB/rLF/+r4+JqdH2Wk8HNFcvcLslSkyNvwjs9cvx7qVj0TUfFhmXfTfJAMnweee0JgVFxq5IApWydCN2idb4kDyaDtVZXyZb55Ch2TwmYMPHIx8Wr6EL3CLX49sg0LarbZqkwDo3mMmVUtF2Oi5WjBx3iGMG5JrRdAOejHh73xM8XuPk8/O0R8eUR4nIuGdeGi2nJ9cw/pxtOOqiCVCkr/toGy2+BpuLZpkfYFDSRs5MdcqPJCzofZ7RHfjx5Q348OSM3lYZzXBTkTEy5CHvo7y/tK/Z7V1qnayfSoiDMvWY/O5B7DlNVih6ZUDWlhvVIDtO39yN+v+qS/buL5H93WfwnE8JxUOLXJ2JD8Nw3AfrVCFDnI//m9PhcTo8Gwb85PR7T6eGJ+2/m9HBo/6mcHk2cvgqnhwP6T+H0cLj8u2vYDTL8uyraFRn+TPr26oh/nRr56vh909m/dJ09BMnJjF1pPhXUlL7UuIuWkxkjF7Vfbg+bu5wxzZpVvWtxphB/NuaCqiWmz4dJ9acXDsz4lGlzRfOpVNzM5uvkuRnVM6hD5icLmq/FCBM1sML07WkfNa4MdMDGFBQbfXBNXPJuSBSCylFhSN85wjI9PKmgMKvLHKn4GWlTgdvmFz2jO/sHq25xLLNbp3ArgHYsZc6o6CLiD/gThEHTAsIoOVasdHSwqLus6HZ0qGWDj8R/Rq4DPrX7fI1lmS1DRIHLq3IC7zCXXEV03+WBzKkoJ9T1QBgvLYV8SfwbJjKpkmhMVlXwVixnNxQTZY8Lyzffv76AgLWujJx5YudkyYcitcfxh+XKtDXUlGsrunacZdyVWmxLETjPmTKYLsgcKN00npS5r10/hfJDalkYOVW0mPGUMKWk0lU4ZDzqDc15FpdTkcoKIW38fOQFozeMlCKqJjjxifnwavWK10Kq8cOwC2s7i3TG0uuuUuhnb9++fnv17tXl23cXl2enV29fv75ceY1K7JiypvIYFzh8zdAJoj1odVVBKp4qaXmYnEhVyFqx6I8rFozO17yP7RSPuZlhPKncbnVlef0Wdg02onjTyjlyvz189ref/vHL4cvD47+vTEvfOWgFamYVq9Yodmq3CBUZqXdUqp/sjV5HUOAazrS2XN8Z7Az7A/vf5XDnaDg42h38srKchz3GVmGOO86lzQsj7SEMSxft8469S9JZPV/473bDY3hx9fpt7/mg9FTOfd3FHpJyxqvjvZbJ68ONK0ljT38pc+3aMLhwcQJiBPUCFFItdrnfCQqS7BPp2n3gY2IcWFX1o/+GKcwTp1PKhY6SaGasUiCtih97CjtlMa0R/yOCdhXCVFozaLhOxgWFOf7yjuLF4cF6gVpXOrbVjCrqieP6aDggAxQhYt+EVmIYJl9FjkcZEpWiPmN5EeWiQe4FlhUJQ2uX1SGW1viwm/0RgtDXmUZWEYVn9dhRPqfTtZqksb8BJgv5HwiQZUDsOyJFF2iGTtcEWcVxDi46baQKR33Y7p4+6sd2R0e2pk8UZnXNzWrzrnE5KqSrGljhShR5eV0eGBzdqvB0iocC1xUjtE4/7AMXyRe7E6+0UYzOYwlzajfoRfX1R1ptRaP4HW/oNcNKB1xg5WJ/Zgm2cL18qvGJBQdyZtIZi3yH56LrlfrDVYWqkAYdPRo8BdAtzRNcNusR+pSi+FWXbTOReS6hjdycCsHUERn9d4QweMv/p1/7yn7WzDS+hbogBU3Z/4ySICQ5tAhzCXRRSzk4iENS7YxCP0jlT2HlVH9CtS8nUdGRgSYRYaIT8lKqRtlzxypYGmIiS+HSi7gOrTmh7AjeZiWp3B7ncrpNRZ8LE5q29Y3smxnrh0svamgfZ+3jKvVxlX61bzsYC6nNP8MaHwtyhm9rRlU6q61BKoXmkNVUb04xpuk1NvjKeMo0qjXBE1VnFSiDONe1uhuN913RSHJaMmQO3EU3VsmWotceV2O6G9T/QAaxQ7EPnjUV00ZxX4q+lmrfyftMu+To0AJu9H7UI6Nt+8/39p//1/6zYf/5X/af/8f+8//Zf8iIPAG2qthky0M86o3AAzv6yyjx7Vc1wy1TJzqU1GcixZqRtLKKb2GGackzts2Eb9qKw2yHYbbTUikmzLajcD9VjBrWByolMzPP/9L4hRa8X1Az6xdU0bn+NSbhPx9BF3CbcgVJbJnOUGGu7jhoNipXiN1DUQczM0NJRw2ZQwtAzYRm3r5zNtv7oE++j/QoL7yS96LVEnAkplx8SCiU1bPrXig5Z2bGSviLiQzq1I7ikZlJkflqnAugQbDAgoOKZrAdF3yfYTPgmVVyHcWIZiYedcFCjwYUu+83wPTi6fuNUJzBvwtPJGSEOdju25EzN+JRYcbgZ8SBqSajDrk6St6LH9hSgiXTYOR4yI4jI1XcMMWpRdJq/vZ4xYzXUYAN555RHW2DeNiYMY/eC0K+Jy997qvng1F/hL+8klD3DVVnQYaDQSTNN5rnc7zGq1pO4Vh5LM4+xnR6Xxs4jJ+A3gkfgyXh2kBQkICwL7mYxsRyJ1HyXry0qr0dWROaK0azpY+jYa4isBfG2DqNLr2xitxU2zJdeoCQC3+B4sYYM21IYYnNU4a1bh05E2LBiYdEyKAAkTft4tK54LkbubdHiesXFlohW6MK2lBCW4t4XHvSQLeD8O7tzFs/Q+q8Go/p2HYUliZmWtBmKvl9B7fGQ34i41ZtXFd2pawWZLAKx24eCyJvmLIkBNm7LFhNEDl+ietS4+mUL5F1WRbfz27kcqo3gPk2sEGk3kjIz4ywDwVLsT2KPfhplpENo+x+2Agjw1t6KcyM2XXdqBrHUEUmpSlVx8W2nXA1h0DU8KSmsDe+vkNhjx6tFE70ljQVROYbdddbHAXosT/MNtbgTOomP/geq1Y1WLGh1j2n54p3Wg3Fm3kQwuZ6oCBH2gWNmtbSzg5CfmE7cIt68nysGw+ew5PQK564G49b+s1EE4CamkGJP9QuNbQzjzvtYVMVN+rYd6oB55GoY6xvm9CToU5Mv13ihkq1tu7Aq2Fs73d2lz/1wsgAb9zzF2qqwAEpup/zVAhYYnXxQOmvqu1OrZvQSr13wrZ3ve0fqfdOGBZ68OBO/NZ751vvnX+v3jvxdvTFmEEy/nENeOID5lsXHvOtC8+3LjzfuvB868LzrQtPQPRbF55vXXi+deG5swtPrNd9Ga14Ioi+9eP5Avrx8AIcxxGffKQJDat1nykUv7GC9/TlL1td/Weq0pRfVAse6PkSRdY4TCHepqKNkXaxLCVOGeQ+PD6G62iqcw9j7vN11qnte/IFtdfJWnbmtx4733rsfOux863HzrceO9967HzrsfOtx86jAfGtx863Hjvfeux867HzrcfOtx47HXB+IT12shzPXR/v9OIF/Hl3YsIqlQLA5Z7zsaKKM02ypaBzdKJ4gkqaoSdN+sRMuNlwP0NYoyyYck0/QEZqjKe20mFDzyg0zK3Ns4FKYZU8DwaNNwTGPjzfWQDM4HjaxVoGW8qnJhx5aL4np4hAP+fi2s23JE9GSZbnoy2SyvkcUgvAQSQF+ZmLTC509f4FgvsaM26fjBItu957J/iHPiizLdxbsNTAWOZ83DXgnKavLz49WKheZiL5Vq/h89VraJD+Kyrf0ID8WzWH9VVzaJL6W3GHL764Q3PJ/jy1HhqYfSv98HilH5qk/bNVgmji960wxJoKQzQI/a1OxC10stpnMs/21yS9Xp7u4xT3gkfP6HBNAF38dDx8GESVSrsGmHb2Dx4G1b679l4LVPvDnYdApTPGVpHYD4Lq4vTs7M39oFqTylHz7zpbtXkA45GS50syp4XuqiAAxhkUeNTX7c18zZRg+e5O4h0ZK6BbULMuR+bzMs8RYjtJC/cG8CdH752f4P0F2Pi7O+8fhBBLIEfPsDSUelxDOY4370g8je946n3aFu0Wih8O9u6BhT04qViuCQFMRoG4U5imxWY9n+eaEWrgKZ6zPtTMeVT9uGBJBNi6sW2EPz8A2Tc0jhH/OHJ2+KsbpvRnwM5N80DMDpLd5NnBYJAMn+4N9++BIp8X67wPOcZbkFCLqJDKuB4Hb85wp5FjQRwUpN+HQBF4jERwEfuLu0L3ds6EiylTheLClXOF3K0bJgidGKaIYkgxl8fo+x9YfbEPeFZ6mqJCB/NfY6kBmUKFiqznUt0WGGUBGa1YY8QoWlXBsNBjinBdx1MCH6amViljwhVjSxAUWDfFzBSjpq+YK5SxMxjubQ+G20ZhJZL+nObWaOsjcfrOmQiVMjoCMdODw8Fuusee7ewM7YcspfvPDnYpzXYPsmxyDwZxHavzK9gMa7y6CzvhU6TZxZvj81eXydk/zu6BorOD142Xm+ZT8NsI4vr9h+Mz75yHz6+Dmx2P4I27CRDuTQQadP7e5NUF/HnHvclzvDFxCR92wtNXF+S3ksEGhDo7Qi+YqjaC/d21Q3fWIuOwF0OQM7htxTRnYawlKRSXcEMyZQbwcsO6QZ+MMqGhuNIRPD/aInh+L/0k8egQTuAT0vEe1N34mJCki9OGHHeNsS+0FlfmYECbdsHQiYJrF7I4YJw2lPjqaOsxMp5rlFi5SFqrKAKFu7sokZ4K9waG/NB05uYimmEmvGKmVCK6pva3Cc1S4pczRiBm4ZotHb2qZGO/MEh/zdys9Vzq8ZKcnVxU7ui3LJUqc2OBjAbJGntu5xU6+KOfXJCFfevs5MIN38w9smtseQ/LQUDgMYTUM/ilXvjAPud5nBwbMueCz8t5z30ZxvVIQSmoiN+wlszIAgep+C00uK4iXnrWoAhDQihhCgcqB8+cxYhqUkit+RijSDIoPGH1wqjMhy+7JiM2bgFKNUlLbaQvi9bM5nY4pzldW7o9FtOnmHoRFsRXrKtqkPkGAnDMq7b37vxVJ+h2tHXpOr7SXSwaMfbUB7LXNwejsOekz6DDVwsmMu0jaqBSCUgrT5J4QI976/gfDhL/XycV1pmxeFmPqLQcF3V/aIBOCqYgdjeizTm4wcANKSfk5NXxyzMCtXpc3TSZ31itLBJOm5saa92MIhFjouILUjCUGhCKowtpSRyuY6JBYF8m5DzIKiGNj5psjun0IjL6rWQ6ZPqP7LHDosoW0bJACPEtUeN+aYxZJX7wttSKkBMGWS83cK9lRTcgDBToXAXv7qXpLJbsbAKCqVYlguuUqoxlCfmFKemr4szBXTpzcR8oQysCjiuq4RQd+fndjLrGTkOXs6rL0ANlDPBmDe4ZoxlTV5OcTtd3aekDbnaIy6q3YhJnJjBzraFHwVJTK190RI6Pe+TypEfenvbI2+MeOT7tkZPTHjl93eFk/nXj7elGj2y8PfaxOLcVz33UpbE4YZpRfB1GtQttcFpHoeRU0TmyXrjVqQw7SDVgCmuxxANB/caCV2VEUCzoDst6Zzis94GURUfS66Mj78JmpMALLFSgsOyyuwK65gJyfVBvramyhMyZ1nTKkjiAhGsIFXK0cwLM+GtBHAZVY6AMRDTFY95Ko7+9O3v7XzUaBZn42XQF5bRDPCfQHPmoWlAT3es8EeEobIAWn3jBWexKRvqUFiFFH1wcVhWM67w+wdyW3R2oF2QhIMOdg604VUTq2huVEI9zS6kmTKe0sHuKakaGA58TqsmT96enp1uVAv4DTa+JzqmeOUPvt1JCVZYwshsqIZd0rHskpUpxOmXOanBlWHMeVQ2aMJbFI0BVVeXyGN+bHnmv8K33AviPuXvE+52uYZ3/8Ly9b7l6X1KuXuCLz5y0x2tOBYfhXZl2LWHxFeWWLRaLbqJ/SyRDEfgtkex+iWQVA30e88BZSXdrFsfHx/WSSt5UvfqUmgfHLQ9dnpPzN1aRY9BZcRR7NkYNF4P/ceQ9fY53+GTC0zIHB1KpWY+MWUpLHbzSN1RxZpbeNIo5dU6NtiZhVNQ6IWcfDBTRDfBF1RE9oGbGFMNCt0InEXFGlc4K5bC5Cd4sCGeDkrdmxuZQzSQaGvUCfAl+Z1RzCKoPI95wXdKc/86cumI13InsaHm9+etG5DSx9k7157Bp+Hg9+HOYAX6u7io4r15D4GYNujVuis14VwSvvg+SynqOwlYjBcarH1tLWaqomHl0KwDBY1N+w7R9KL5P6MEXcYwZVoMP42ZCh1EmCFvzYmBVKCoAvJff3QHUgGjML4UvDlow5fB/Igv0uuZLO4SWMpwozlbDbbGVkGOREeo8NGHMVn1bu6luv53wfnxrxTlh0OLv4PANzRPT2r3P2cnH7n1eMkP7sZPa9wByXuhP753ZedEeBfAo9lvJFYuH+SRmPju5CLfucLAFumM/CCMTMmKpTtxDI8zj9GBUUhFUJZBFpTbYlhKuuPPcsVbEgT/PmMC1hIVNldSRBucrnPf7zmnqLjQsQBAGnPPpzORRS/vK01NhA+9H+UE5M9iLdqrcDTfN/mVB9XVW0hmb0wb9SS1zq4OlhskgGcQclU9qHPXiOfkJnFIfYazOPKwXXJQfyNkHlpZo+r7g4ho+PMc6S0/OXjzfghZVUD7+k5nvM8Qd+d7mtdgjR2RLre64o8OD/uqhR+OlYVdSra+T9Q9Lw4hmv5XQCkRObgf8BTcmZ+RMZJyuHnBflFdrPL9O3ryrdZa/FfhzYdjKUWtwInAprqLA9IfErzstimUYux6UoFAiyYK6qSumJ+dWXFDjEsDCxuUm7vClfEhBBhcbVnHz1QUn9Bp9qS64BFGRSq8ccck+QETPClhPcmoMq26O6zU6OUaj43AsIyxn85D2iKHny4KtDhe6wxM65muO3/p7PWzLctRxlG31A4Z/QwzIhKaMPDn+4Xzrvmis04mKMrp+wdjcF6vCucbbVeg4hkdBBKSb955gMmHUMq4X+2gl2hwxqwk+laKur916eXhzY/BhiK15wq2mB7g6+FcGWV/RMV8TqB/fW57iqEG8vrgvxdd4/DjuuOsEWhXKzy7U7rnTXKTnY50LONwjnAsujGkVwASLMrYeFDrlY6Zaax1OamtPf0p8lC7HfdRmw5DgRRaMmhkZsXySeIyT70erb+XwUjrjq6SddAjJWt+HuhY24339W+kyEMd0zHNulpDarvi4jEnm4Lj38oKIl8UqAfj3Av1iRoWQgrjhSUrztHQRxkFNezDQ6wwbsMx34fgRdpWLFLgvjGu8KG2BGNcqXh1CX2/8Sk4mq/XzexRgcbZPAFfz31eh7H2aZrSADLXY7WT3h3WNZ2MLVDvU/SG84cqUNL9avSfQvfS7FpRuvnpFtocA/PDVfwC091z9qT1yP9eRCZP90UcmYnzPI9O9dA8V46EbxVHNEysw071hXfOGbsB5vy0NdYauQkWkNYHpNUxXhakq9ARpRhAqxXWEzMrwG5ZP1phZ5YcnejkfS5eAZLfRihZFcOAo5brreb9t+GLl2llURLkWrtgJXEYsIUYtbN532BV2jtsdn3PB/EXBoKdYzsiEGWzT6K91oEBeSjW6uVQchosee240yydRHWCBoz9CpsWaulsAkTGwrxEsjoDXbalsDRDcXtKxAwIXTPgRMLor3nXg7WMT6/vd0PT6CrplrrBlFjzPUhpw/sy1+S6xekUKTSZ9a2aukXSWW4scUj3YB1NH8jMFLIRl7MXBJVjrA/x8cQoaVv2ODJbgBf8XvaFJTsU0eVXm+RsJQeVn/vFYiNz4mygvRMIXdwsRt4FrrThdKhVUzPhgbinMVDWLB34yiqc1YVB1j7ePEmhQ5Do06lZDzUYLUejPWDXpRuFURXy8kEE0wX2fb8AdKh5SEzIeIGJGTKsxSOjbLScREm48PxT1ZX4sl0ExRGKxh6rsvajFqQuQxsCU0E7BjenTmCCGJ24Y0MMWk36QVArhlMQxMwsGleSiPp603vETJ+OCG+x1ZJcql9riduxX4uPkxl79fvdKBf0doQlNTuaM6lKBn0eHDs9tykaPwXWHodcs8HBM5pg9KhrP2VxCliHTdhg/XFZR2vVXveFBIhk2h6jsUrGEXLg++a51uT3pRog2xyQud6vsvUD1vvlhC8eJZQ5SKEpkqGncvX7S9WbaztB/nNoY0GwTMfRxID7C3NX8jFT3uFEYZoTHWW8ieoucG8tGwBpVpMGMCk/vlBo2lRDe4ccPi24FyQgI1adZ5prh2/3Uh/3E4CurJPUxmiMbYYKAD5MPIwoLXJ4vYwPCJbKjI5J1xBKVmql+QbW2xOxjyml9MaZMmCueXa25ut0Ud5DdXB4PF06E94pS+XJNXvsYAWgJz6qgLAwhcG36XfCp66SKzZ8jVY1Dq2h/SXNTLzlVb0qE/XoktHibWR0k9UxQL5FsqqbCrslwCGvAaLbKinN1ARSb5NCFe8aILE0q/VFHTQBJ3tb/wdV5AjJsbupYOHIdw+rb58wvX1x4IRVGdACnTEVNm+2456chkXjKsLRaJdDgcSvJuNYldoqu7nTrq+M5VXjKu8g+VyvKV6JqVveyC1gb0advWX0I6et2V4NFj0KRKwyCybIqcwZ7dYdhocrCglsDvGpLhqUXGq3UK9sdKlDXorSwd75bKyjkyZRlDEcWdx0ehSiPGZFzbgxrdDnu6N9+VD0wqtDqu4jJQOKI8ZFA0CElTqcicuwyxqJjlwCXRJEp1WRzrmGgj0yWSaYhbjYsS2Peitbx/HfOq7mYumldDTwh2/PHEtgur1uC2P0ysrNc+Vmubhu6BguYcMja7vl4m1d0C9odbo7z07Zs9eu1qhXuT4n1nHxYeNHx+USWCqKwTnBO3zUZ6yVgsCoPARuxuMDwPxcc7tbADuSBJzPOFFXpLK461TwGKxMcRc3GmE/JuIRWWxsQqVONyJmuB6hH0j43TDmFszHFkTtER2Tp9PUQ4EagwL0LGHePVeuaGn7DzdLlooWKsqA2wpkUGpe5Ge2ijHzhFV/aksatRXU59mA1FYwwvg+MdPNCODpIAwthwVSgxu+h1b0Ovd51JCepsZwFSxMi9SJKtoMta0faR/wJj3fenztbPo3SBkNRCpTS9nyDiFWovRxRLmpy74sflJoFvT1julZa1FnwmpQi6njfI4pNqcryePVBAYeniTUlS/tBKmLRAx8wRCKiri9vmAJFH2oC+SPZG9dc144uV/sETc1OWbF3sHdYJz4qex+RBbeFZ2263YCD1M91+852veyoa/hPLUOqqCikYhTrLgsUc2CNjZcYl1zwguVcsFt5Gut/p65v3v8OZVNRbFATf1W103Ww1ugH0LIQchZuL0MESFN7Pxdkbq0izU2JYaQ952k3C0nCtG6jjVlHsCpq2f7PNE4Lr5V28teqaGBlLIf8dLRN4/htl/Hr7hIaikjNcoRlgVfxbIE1CeX6M8KNkxINSOZScCOrShnVEFY7lNWK2T/9TbaR5JqxgpQF6ojwUry56lRNqXbegzodreKOOy6leS9e2Ybm1M5m2BkMD/qD/f7O7uXg8Giwf7S7lxzuP/2lnsdgz+bWDenjV0x00zRKPIgaRTBLCRJLsbaWtfSgbINzaeVyasntjhts7UnT2jmTy2nPueByOd3qxZPHBZLRnFy64wVrQ1SiLq6UbzdFDDYsOtQVm4PMhrr5VlPzMeEwvDUxa3ODty2Um5jLrMwr1sceR9ipwVdkz6TpVXpuPEzHYVPQdMaSiBZheUu1SvP0jivFxptcFKW5CtERVEhXUsK74EoTP0D1S57nvPMZzFUDHhl2Ms6pm7oWfU4gqy5MW+cklFNIdbvn8W8mMthAmM9nqvy5WoWQLlnkBQ3MLjLvjbFrylvdl5hYpQjCbUdKBWrrNGkeJMhv9uD033u1KgBuzxpIv5Nj8Nhldd/zGi+jfqJ6Rp4UTM1ooe3m0wauo6oKfRCWp+jCnWQGwo8ppnhF7ve5FNooiz54bSFlwWqOTaYf7uzu7R88PXw26Pp0/MPJaQ31dd6gnJ9abLxXK/Z7NWA+pHuT/cEgq0MmpqxdGHx1neQynAnYAsRLVaoUv2HBokuZMIrmrjKLkaqlYYBu4Tt/gDIwqg6cWBdv8KVXF/JlqJiYOElZncS5lq3Ra9pUPMGcuaLzvvY22vr2vLYARee7O8s1XXS6G8+F83vZ3YV+V2uGaV3OrcYgJLG4gbXTC5qCO3t9stdMSSFzOa11/LFHjbz2GbZcH9VoRf5XE7nqG7/co5XO7P1kOBiuXnL+mjeF0Rdm5/p6CA8ydNG/jjl6dqC+H6V5PQSF3rzaEP8cg1K7kNCYzG5fdlcpUWobthCA6u263syq24J2fiZvtaC8i9v20Jwp4xUZ2Au1C4qG+8o5miZtx2fV8AHTw2bY6lZjYRiAoFZ0MTrgyIyKDBJCLmdsCUlmC2sqQ9Mfv00VszjDfVH1JaoZQBAl8wprbmAU2OkzlhcYU6ONZYbFjIH7L5SGSuUcfUCEGkiom5Y5VaFmVWU6Kqtcdag8loI11q/pVGtTZHGWqFobVBECXJqaosszdeYDGCgoq8oCS+A6toKGy9ZEhqHRosjLKWgCbU9KlehKYScIrz2jPnwMqiCcv1s9v29w5FGjlEPNFKxug+HGxT5/m55Zo7qX/feie528b63sZh9M8BFYrhWGq7DJ3jkuv1U5iNklxIdgwU/7nB/4iStnpoucYz1RbqyFFjt1CqqM3rKcHG8Wr9z3CFB5IhVRDNLSbzXTrU0AT7gWI5lMryoHtBUHVvcJCVlYJI1g6V+WVdvK2hcu2R4AMYqzG2+tj65w9UdwL1NqBj2GsOekvGFK8cwxK42Si30+vQe3R4qcWQtUM0ZGz1FcQbLNsmB65MX06MyqljxFGMlb5tTmjpPsghVk+IwMDo92Do6GA7xLPTl7fjT4v/4y3Nn7vy9YWtqFw78IVj6eU0GnTOF3w8Q9Ohy4D5WSa0WdLkEMYbdzbWRRsMy/gP+rVfrX4SCx/39IMm3+upMMk51kRxfmr8Od3Z3vImI0Aj3CUnWdse5C6Ys+Zq0h+dBT1uE38hU+Miakyy8MMhzPzsjdTP2CQGBBZT1Tnlv9LbiWCqZ8AadwkgoDHhN7ZmN9ZLzhaSlzr6RxRdBcrztXLxhqd9NwQ+f18Ky2r1FuYs3IhgpgTy3fgiU656pTvEGYnj0Cne8StQNeeYciBCPQj+2hKAL8XiWnWG8DjsNClt5yJU8Cbu4eBgtXoqYSBq2K/qBy6nAEr0fVGLKKjg1dZoIfAjULO3ok7HSo5oBHlJUjNM/jBV5pWW/i1HS3sHE5iOelAn6qyCJcEV53xoETEYr8Wj1fa5m6cBNch1uUL1OTwlVPDjt4RYJJI2bIcoafFWKAwyXEkdWtRr34iKFiGZQ3OHE41CENV83R7d11tTqaCd1xqDqy1kSMKyi9rgzuzYtQ+6Jrn6E7HXYVKiq+Ps/FUjsfXNv7/kJOI2/zHNXGmopRFdzwJmpIRnZGcxySFjqU3VHX0W0WOJIvlnpu9dSZMUW2BR517HRWjl2ogr+HbvQiDSM+wXYlvaofRt+h2PfHVf+4tEakmG7d1r2ltoyKUb2+jM23MDpZzJZx6QofZtYWUm3Hc0cwjh0N6Gb1IJ6CUu5Eq6WoY/AQ5VOL1wnj/gwqmA8jgLdHdZnihgzyw11NuVeQbqMKtOrony2rXmIW+RD01eijThZsTKDrpKuIJRrwREPa3Zsxwd2xY3U9KwSDMRPOhgZ4QYzW1hmBRKYcjXMJwRiaGzbqYJpLKODl2tCRUoRL/rra/1G7X7G6C3MNzOYmIO/eviA5F9e+NNjd/TM9Xza5zo+C7Yoh1I2ncehciKdFQXEcWcy9oPTUStBHToIjMA/tQa0Ynq5zKeA2E47ccCMK9Gyviu/SgQIirpW3DXNs/2UwAF/jysvD9fWVjnTE27TGSS5pZ9T0W66vCYwA9qHiUnGsztUUhNrJKqJlDomUOirf+U4zd3sGqMH9lbvrQ13A7tzkFtivhFSrdEe+FYnNV+CL47+zDIb9CEI9jMPUKYUr4IDEwPLMcDDo8F/OKXcNo12j/KUsYd3rN0ruREBJAvWEdQSQrl8g2iEWzh9pDSTqXIqABlLN1fABLQkbXDfuCHy5lBWod6/0rs0LX4cFE1ZvO9IhWr3xKFQyQvj9zRtmR7XiAHpwDUqv69XP2QeaGgKVZlwNe6cTRQEBcTiAh626www3QS1q3bDIrL/HrdUdlIISvBhgHCao75/agXnXhe3Pocp5MBbCiHE19KjWHj7l75V8fEVslHvppBN3yVgW/uCOQk3DSkDAspuVO59CKoXm2sR6t+PM2NVoQuPvrpYETscL+IyZJTP0axrlcppo+D3xvyepzNgo8cLXf10dr7E3v8oQwhxpN0VLUandCqNUm3DFFjSP3I3npxdbIRq19kZQvx1bE240kQsRZsRibvZ8r6q0hXFTWWCA7+3oRmFKAeH2KfK0ztOGqlUSke++J8RLyI/eFLoQ5/iuMOIIvDOs4lJuuSy0+/R3KdZYSPBuI7WGkt0QleCwKxwQQkebS8BwMNd1kVwxmnmdzB3WntGrC5/omMQN6JmjimeNLfo0ZQUWowmT+tqYUGGf2u0vBZh+56du8o2zUsmCbR/PtWEqo/ONqFw3HY8Vu0Eb1z9+cbmxhSYn+emno/m8Eiac5v6p/mD/aDDY2GqI0Xam0RfmpTIzrh4Y8wjhgXUHVCOUb0OX4z4GP27ASd9DlsJAwujsIJUi3wqojGJydY8wYddbRxGSTq5mEGAgI8cXIgV1cwtllxSUTufU8SVJm1HonzF20fmVoHBKnWtKtUr3kQcxTtN0EDA2NEbzGpkE4cYFRLbfMG341GNX9/CsYFUIDDl3Q+O9ABf9jBVm1hodjyR36Vc5e/A+W8QJfq7eqQDDkxQ5Tdmt9sktdkm15T/JPpkvOywUmGJ7f+fpMGPZuD/ZHw/6ezvDw/7h08mgv0fTvcOnA7p7OGF3Wy+eHyaU1sqEPqf0Y3VCrR5RaqZ8Ul+IjOhO5JuUAq15ql2mWZRuBe7Seif6hsfh03J782zVk/mOduG+W7hPyYDVhxs/mMHFDoFfxSN7j/J6LC3bMVyPmjQa5oiyU5DxTbU64aFWWAudPMv2Kd3r04PD/f5euj/p052dcX9vb29yOBjvpunO4aroGsWn05U8n7dXmjitZdTVWMwNv3oKv3veOYWu1trwpiK+mzb4onr+DrPnTWNm0ttDou6L3RpzkjcuI3RCe+U2T70XXX2K3ov3QVa+J+R7EH3vhf1UlGNdjvEzhEeC8o9/W41M4Uc4Aza6JOiK4o+7oAIv/vzfd2Q1H2Pb7EYKLDTeacWjQHaxJmNrFtaD012Wrv0VYvV9XiqU5EO574+/59BX3BU7cVZndGEC+g1cwfoDyif++r+pyLalqpAltSjbnuskE27nxkuc8txfwJOXVZTDr8/PX/7TdzrVVYqvE+x6K8GX3eHg7joaabDgJIYuASxDajbwCedDFYXmLnQeJVUWY8I/wV7bfEFdtJoLXssxMcoP3Xmv6S/AqiXWGEYOLYDhAME7uI4wVGqwdNrayqRUXcdwPcJ8sVUUvnTl+UBrvaFqaXmmyKmxvJ+Qn5jCcHnobsQ+zGip4fIwd7VYUAbUlVirLAUHOY/zQF3t5hvWg5tU6A2Q9UjGFUuNVEuruqdqWZg4sAJlD+uRGc8yJnqQloH/SpEve05x7JGF4qbj4m7z1w3/7EaPbODTvk/AKnlpMmNXmk8FJpNnfGoPGJpbld7MVnG0PrwrEXaOJmGyKjCeT9EQcxcQtzcgiePZAhbaX817Aeh6tQW7A8ztMKRvHAveKPukgnAX18Ok8pshbSpwO25RZ3Rn/+CBpMdUqI+Yyiuof1HAKoe7Rz8DZK+ipdo6tDetJHoo09hPXEzXp5ZsNprmrconUa5FyBgDmR4Vb51TUU5oGuoF0OrS94aJTKqk5pkMhnFsCxwXlqu+f30BnSG6OsfMEzsnSz4UaQIXgg8l9XoT9e++RqulcBMEpZvkkxJb7ORyOrVbHMSenCpazHjqKy4Fh0c8KmT6NoLpjCq18fORF4zeMFKKyknHfbMYfLV6xRsR1fiVt4VqUgqXpt5eMehmcvXu1eXbdxeXZ6dXb1+/vnzokpVYOrldsPJRHGEXOHwtbAEyLlGUNRELYQXkRKpC1tJr7ouZYXS+5k1vp3jMnQ/jSeW2tgvO8PvdaYtJtdHDoPfc8Gd/++kfvxy+PDz++0NJ6x3Cn6D8ndr9BMmHtXzQwBx4KNiNEAJbMMcITsv2EbEz2Bn2B/a/y+HO0XBwtDtYPSegiZ/dnyuptneceJsXRvpYjlhGdOx77OMcccnf6zVBbpMXrv+z70ss53hwQGQLpHVGycC1WwRoEVS7SrBqhpS5rkJHbli+xEoZqICggGureJ9yNoNQ/EQyd2sWePU45QbqeEY6hi+N4It/RPozI2Osle4SGaIF6RTrtLYWH5HZ96RTVw72/YwrMCB90w20hla1pyD1CZmt9n7dmkqjPKPHMv8qi8kZq1gZA6sDdRuE+Fvo2Q/DuAVE06os4P5vNLdTjdxVAbd7hWkyAiyiUCeXlY0J95ZNTKV/20d7RHORhuH8LYSH2+9SqC3ZyCOOa2Q9euMHGDz4guvBhAGglkmQ0TqI3hpcF5R+/DgFwZlBuQTRFbeVj2vGZYrfRMHb0NLbXVdFV0gtDLdncs62ae4pHzC1w13hMJ+KbCdznyqw1bH1+B3Y1i+0QDD7s7zSMoWPJO1Me4ry3IuCqZRqhgdA7doXDtc8BJLEDdpXlUosnyR/jg5QFpOvvQuUxeGr7AQFgP87d4PKJ8mX2hHKwvYn6QoVofLFd4aKYP3Su0NFoH4NHaIicL+mLlEx2F9pp6gIhS+8W1QE6ZfeMcqC+qV2jYr7KK0A3L9z56jai19Z96ga7F9TB6ka4F9wF6kanF9sJ6kalF9HN6lukL/cjlI1eL/YrlI1KL+WzlKdQH+53aXifkuf6Wj9WjtM1V78CrpM1eD9gjtNAZxfebcpi8MX3nEqjmo2TKzTUoUbojBLj7APaV5m/tIxZxQ+Z/KOAiPBpQ0X/DOqo/QJP7AmT3zwvaEqmf6+1QM/dxgTZoOKjCJ2ZocM+icb0983euDN3sARNjryxAsnf0NUqlTXHWENjxiPAlO4Qv8+MgWuq5pxpXFAamDZgP5rgbZ1D4p8uVsbP3QIKYArueZErdHDoG4W4uJsab6gSw0LRI1dWkdtmMaHHMOQ1hYEboCmNs1GLHDiXWu4coaQsDoery6fX/R8HWpCBc3lVJYu1YQc55DJYhg6oi6MYnROnhyfXmz1Qh1ity3CqK4WIzwKvWHCFcq/SijDkucsI//n6fHlcUJ+kYIl51VABlYem0uX8FzLhfe1OYx0oaOhfF0mFyKXNIvrPYNTRDADNbePTy/gks3X8qio7u7apJofkdHJ0fuCmtl7I99bmEG7DrviSMs5uwpMOkIKjBrfhpHdnV5VjcZvlKryQvVWgm1b6hOOmgXuojetWIqhaL3UfLh6AOJRKu4o85xYpF3nmMR+HvXwWjW+igLG6y7VGy9iZB1+RFpO1xbq80bxOVVLjJOGPMUfz0+37rxX3RwOBsP67W8VZb1uCONYq07o2reh9pBK5tn+muB7ebqPU7Qn1TM6XNOsFz8dD++YtoqFXcPEO/sHd0y9P1zF3/PAqfeHO7dOrTPG1sWEFxenZ2dvoqlX2LRcrK/Rw7kdu0p/9WoNnh6V5uLTRJo7eGf/YPdwt76H53zO1nnd+vL85Rl6sn0ARBwdiLZmvLOJVP5olJOaN4KQEhrI+DTIxWKRcCpoItV0G8t5gMGxPWcZp33w88afkw8zM89/PT9+dRwdbhOecpqjV/ifPRfV4K9cE/Kz1Qg76tJbVQCvGcY569XSm7FVQqgjG6Ee+h2tyErz9XHSS8tIMdm5IDI1NK+4i3Ym/W0ODvYGDRb6xKCpjpipEOxEoSwpRLfVN/8ateBXjcPGHfKhT2tlXfjawRiZ5+KAWiTzlkJTm5cLsbY4DUwNsxNsgsKtYj/oHaem1W0eD6TP3Jz1udfU4sC5XmP5gmnXEZVVM9+yKNrpflFZ27eteME+R6zRyZt39TgjQ9WUmSoNszPWaPVAowIyzgsq1hVSh4YJVG+HaVrqX8+nD0Isowtr6WM8aAOvTwq/L1gSAbZubKNvH4jsG1rFLayCnB1+zbEDAbub+j3xPTE7SHaTZweDQTJ8ujfcvweKfF6s0TO2eYzOMIeUu8WG+ubkzRnuNGtdOyhIvw8d8eCxuC0Hsb80irtHPTQwiJszLENB6MRAkjhSzJWyUK7VYiozhhXyK2mmqNAhu0hjcVXfs8H3X1i4tgdUTH3dNEWDawagx+zMegi5cuoRNTXFbMIVY0ssTTHO5XQbaz33rWphZdP2zmC4tz0YboOfgotp34We9ZE4fZermFidrW1PD9KDw8Fuusee7ewM7YcspfvPDnYpzXYPsmxyDwbxES1XsBnWqFaEnfAp0uzizfH5q8vk7B9n90DRpdmsGy83zafgtxHE9fsPx2fenwWfX4cCrheYcrsqAe5/A9bhUraD2G0NBknNQRgFN6OSgE4irFTENdmwf260WXh4sHu4VwMUj+mrr1oFu0RVA5QwKH20nENlns/WDB9WC4yuJ8h7GVdQUMFBstXiuVD9IJRCWmu1D6iQc35KnrwDj5uqKndGWXdPLhruONTlV3HKfdgfPEuoc0vzGxRpa7/VcjmR0bwu5OrJxfGrrQRtKjCyQ1mAriRRWpoZVgSlIqulIsGSjktTOb/dZS85f+NvypnukdNXFyTGmJAn0ImE51lKVaadW57NKc+r99qE/T5h2PYgSeXK97RAe+jhrBKEc50Hiie+qyMFYvfJySvgGwsE5AFHJAzEbWHr2qeDl4/8xKczcqx1qahIGblg6oYpcnL8MCKUwqwt9aYiAMxCnpxsYcfSJn7vLh4CfFTqgGXrXMjTeCK3jqcPWceTv7676JHXf/XreS7SHnn97q9WI4uKhfXIyau/3rHmYet80trnMqV5q5zroy++n8bLmxdbLaXJsoeVFH/nbPEQTKSaUuHq7a0Zm3gqTZ68/oTNfC7ST0WW5lel4OtSHLtwpjmxM1rU3z0A9wajPwR/bSjkUF2B0rq+2urh6LTzYTFsnC8cnJc9cgGqy5sWS5/QnE+kEpzeC0UhzRUYjyvgdJu39pLPwdpDq7GZvQ0dkECXBlNUaJ4xhcW9eDvDfWewM+gPnvaHB2SwezTcP9p99h+DwdFgcG+ssMXTOtHCmrkroDR81h8cAkrDo73B0c7+A1CCEsbp1TVbrr0y0HGrGJAvToDlHgASO3IL1bcX9zsXIqTSUt2sa2NdYhXDGxaFVjHC8tw+kLqfKrSi8kKQuBoOP66jQkn+PqdFBMG1KfZ3hg+lBPtQSMHum23UyBfEIcICZgxc143lC3U6VsDqYH9/96mn+qqdsh6A/Sfa5lDf3lrmzlKKVlUXNEWLnZu2er8z2Fu5NCXArJniNL+qRfc/NuO6trI4VVWuX5cVF3efgtAEJVSBT5dRc8ZJ3AAZ1r6YUVcPv0d4HOSKDkIf4CXB1MqtFmLtpZCFHYZOZxSyVFWbuvv7z3/44dnJ09OzH54Pnh0Onp0Od05Oju8nLUKFi7VLwCi4amIJGZdcCmU2IinxM6s6geOddCAKHt0T6OnFBflRkhdUTMkJVGNyQZ/LhFwwFrylU25m5RgcpVOZUzHdnsrtcS7H21M5TIZ721ql21jOadsSBv5JpvIvL3Z3n/Zf7O7vtuiPwRr9+8pnZ8T/MZarDqarB6OJFUbOJtNcjmketDzBVr7waCD5R1imn2iYeuC/BMu0VZ3MuYCwr98tpunF5V8r1bVHXvz1ggry3BqdXKcyMl171nxJwFB93HX/YqzSGuYPQuWPNktv26i1JfxkzL4AG7SB6P1w+TPbk+5Od71qUZRgbCd1ekqL63bvhjzErDLcbK6u84/uzzvKOv/IpC9anEJ3H6WWLiYeyjTSKtgLKuBYWBXDiloQJO4hrbUuAGV8ymR4Ja7/6DsIMWzljxHbLJ2Bglg1ZrSQnb/x2p5U7vZY9XVZFDkPJbs+qVQ+N8t1VVI88QKyfc8phVGM1vsqYosIJsxV2gqMexR4Lhey76obpa1AyzD7pu6G+dXK2laFyJoI+6pWmtJN1gZYKjMjx2AL0AaAoLZccS3XResTpxmdX7wGYrcVhuNOkNbFig6czpU9oYI2qor5bfsRUKZMXsXFROoSW4opN2WGNSNzauCP9lXUf5ONXIqNI9J/upscDPcOdwc9spFTs3FE9vaT/cH+s+Eh+Z/6NeA6s4TeWRnj0x4bUUs0kKbn68xhUxw5IVNFRZnTWut2M2NLK1MZStPoav3EG6aNHrFcofRNoTOa7uEdaS6lcjZzL5i97U6iCF5eJS+jutoDOYcnZT0zrMqIQfcKF9bwlnMQ75H8bl/wj6U2UvSztLYuhdSG5uvaVZtvYHgUX82ULVgLD26tMCf0XWg0LYoaKoeWqGNGroVcuJYtFhWYSCryy/mb2MDBFopVFfgFz1i+xIPM20TQ9Ac+tmn3bG+wt7LHVLGpVULWKKzewgx3yar+3066YFqTtHLwdAqrv5VszOo8193S7XGOTNfZkfzu2oLFTNYLmsr58avj6LlOwN1BtH2spnDk0u0fSiakvjrmin2kJW47I8nrd+GLu/sWYZqRU/OsNOroXgjP6KopQaOm4eO2KMrknPK1pcnGCkIIXIe/kBDQJHTOXG/RuHt7rd2yIC9Oj9/Y/X+MTeCrYpgIf5wOFxJk1hVd4/ynvO7Oq5CSmCGD2THboSvF5zo2Y5oDQMl39VymmG9/8n/fYZj4lg6ebStOjVqPcrPg2j0XfJhxC1I8URuhndDEL3gzlXfU2VGY6w5DXp7u9yAhbYtgSR7mVIKEHGeZB2oSGsFgeKobYrwkuVyAS9kH5tdBxBOfeg8r1lHAxsGaFVRBeUI3Mq2fXk+0oNfYU61HsDnyjO5e7Q93tgKCVc53dc5pZkJ6chtpeDgqS11CZ56bYPZSoiB01uo5TEC/WQwWJGegYvSDlegG9LLxX3TXBQUjBYJUhh5zWZXYhSBCdm+4pVw6U5M8MTl66gvWI4rZybDe9dYjGIGfO43y82dQ/jHJk39M3uQXkjIZRJ90Fcu96PN/39lqC/paNVtt4c117vanFRtcaENF1O747OQC3k2+9xKqswut1ZfbralgUimq7ed1GGhFNaNFwQTLwMcGqm4VTDBnVJcKa9EtqIYmkiIBXF1YZD0FaUZVtqCK9UJtnTlWENY9cirTa4yuMJQLMIHsxv/Pcgzp/NAFOQuFGT9l39+erPQoymMV0u3qSMTzdVVDvjqoR0ynRZmUmk5XObKhn3x2dXuX+jdMWZMS0qfgDMDVg4iW0Pjd3cNWbdft09A9vmb5cIOngeu9ja3rIzXqIqW5xXtCrbZkKVTrax9pWUfwByVmIWEe4MFefKtb8S902rlhik69olGZ2e513QvdyAcA6TAYXxphuophWtUEy7i+ThSjWRJn7D70St9IU12A+yxg8mRKyynbgk5d9vBMmdaT0hrmT+h0qtg06i5AkO40zwE0veUq3IeyLNgzjqQyz+9ZcQ9Qxd5g68fVzmOY+CPR/Xx2CFoMchKJTS/lvTFymyVSVZPHnZHGW8IOsrmpb7NRwohSkVfM/HD++qJmvcBMWCm2PXYFdDRTGBGsI5f8ojqK1L9+dfn64vWqSzFlMvmC3PEAzp/FJV9H5gt1yyOQX5xrPgbrC3HPW5C+eBe9BfKbm/7LdNPbtfnmqn90V70l65foro/g+jJc9hagP7/bvu4EWBPlN39yY8daWrSpzo0z8KqcQk0WMycVRx6yEfgD7V5RzJRKaO9PBh3VWecfcXU/Dj7Oz426cdxA7FgHOqLZanyRxBJe6VnZ6Push2uMOaOCi+mkzK3UXMpSESZuuJJQTika/swvuYuwVxhz7qzN0ZhRgxX3mlQoPkIFXnThCb4RXjSTNINPkqbrYhby8vgknjZQwCIupHE127F2FQjKt89PyNPB3g70Pi6nU6hVfETOaDojMjXMkCeujVmPHPbHvEqstvbeFna7dJqt8zIsJPk1RF3/k8zYB5qxlM9pjk0ANZnyG+87hzWtDBnkc5yYQjO3UriWzFwYNmUqIRdoUvIb9yBeeznfuuvMG0acLYsZ6zg8N3/dGAz6g0F//wz+3e3v7G70SOvLPd8g+/Z7lsdZvld37nOI33Jpw7DDo90d7ep3gn9wLimvt4Dh/VtJcyhFFcaM7ETw+lHUgJyrv/IXldqSHNIVrHKniF3KDPo1WVO3vnxG2ucbm8i17k/YFGqCP4br4TanA1whyRI8nTTP/dTAOtBEpdXJG0TRo7kcGqgWNL1mK5UIXw1ZN94Xhy4X61taxVIGoYQe6S8E13WvbcD7D8JX6mRC5zxfV7j56wuC45MnXmdTLJtR0yMZG3MqemSiGBvrrEcW6CBrF8DAJ1twl3n+eFB/5jIkrZsFlND1SnChIpXzLXW7vmhqqfxS/ovetNb2minBHpFKd+OAswWwwbBTdOEaNbQg30v2kkF/ONzpu/voJvSP63v4MlY4rsjoCHXbkv6jSQ8fEfK51tPP5/ZuyoSRukfKcSlMedd+pWrBW/t1jTV1Nt9plIYjN8/IeRugP7VhU6n47/iEbCLJhZGVYloZm2MlaQYmFVNQgRXkGG8UV/KPa0YmMs/lwo7sDJh6UVXyxMeTsK0jkmPx+TlNgaKCf6hyIhettrPnCNLrC2v9bG5CTw+8nwNnjDOlXBxGzvH+jdXbj9snxpUOF66SE/ImZ1RDIUlSanDK2LNGFsz3KYEUT5zq7OSiZ6laKFlIzQg3kU/MFa5va+GA5j2OpPVW/Gvx+aoCazhIhnvJsAZtm6sfx064dL31GjbCc6nISS7LLNza+AslzMiAq3zXyhcqEuX8mpGR2UnmLOPlfJRYZrqZV9zWvjIK9/Y9bE0T7rB8Bb84E6QyzsOIXUZ63VYoixUr8t6mVF2wVIpMVwrRjGoyZkwQjFqrL9vuzn4czmFMLQLzp8vLN/D37eEcz338WkiasS9hx37Ibw7yp1S5lz2amdBEwiNlLS2VexGj2G8l048Qi+kHGsts+RD1/KO9tS7i6nIN8AnM2iT64eHT20F01ZNXANKXxfpjzvBLZ1njct+J708szyVZSOWaPbTwXsOqXMLVvL5rbZ5YYMGBjj0vO07r4d5u91KtLQ5289j5+5qhsNAFq0ZrcOwrF0KYy6n20SFhLdOcQwMRi6OGclBQ3hRKilLfFio8bVeUZ1WYJEo6vI4hQoq+NlRkVGUIBhKt8jeP/tF/i5D1z0+rRiFS2V9OHKBcCvtrR0XFnV22t3/wtM8On437w51st0/39g/6ezsHB8O94dO9ewS0+EWaMzOTa1uo2lrgVHd1w1cMPFfc2PMIomJDL5fQlxfDz+vREaMfzy5H1ZE0mjLju6L8yC5H4Piz1nGzuI3XtOp3TG3Cv3l9cdlNvTU3F9h8yV1ZwaBW2v3YlP8RRUPU1LyEUL58WQ/8G1ON3gJ/UkcN42IBVVHTKn7u+dEJvtC/BB3ZtcElJ3JeUOWtznkMMg2DWvUvUhrCbJubmsTDulG9QjJjeeE89xkzLHU9IRSjRpMQek3InOtUigmfQvcpt6nbK8nndMq2p3zlArqexopNmFJrywF+64avWDHeOi2Z62trjHM5jeuBbTdg14UUmn32cx2nXfVgj4H8Wk/2uzC+/Wj3mH/us91B+7DD3QH9R4s+B8bjyb5oCR9R+LlRO6Qf/vIQ8VeTdWFUp7w8isxzxNWGmlJ3RDF8eovV+r7BibqDGfYG9Zjo9Rr3ANdtjrUhGO9VIyTnY4+twfPal3fn5IUB4rw8X+NMsVQqq1jCRQLW9MWP9XlJzZyGAt2Kuebw4yW2iUXWcGlNE67YguZ5jyhZQuuPXFK7OXIqUqa2wqjVNvkQtkkYa0ZFBh4kGu4cUimEuz4g5Ny9TrXdCm5MSqxSl0fDVCRA4PxYmgktFdxqEF1QAS0Ot3BPx3D4i5YOUnSkPXy6pUxzTtdVazqwDs6Cdx3VSlapfb2OYDC/qpUXxbLs3Lc5Qh0XSMxBB+4RWRr3QZFs/ru1jiASrVoSQeddbiz34qrSZG1mYEWv89MmsWpsX1Hr4tXLN639Q8j5acfJt7IptcYQx/N4LdjtHNFuyWRmH4G/KvQwjeXXC/fnHblJp620IbDJ7EmWy+kUTiiWzqjgem6Zy38JJrWFPqoRA0Z5lapkBWC1Wh9NV2pN58b1MjS1ZgKEtm5btdrPH6Ux1+1IvdS5nIaJxiw60iA/k4wsuPhY8v2ohoh/q+qMJp0fE5KnXI/YOoZWvbBIsCwe//tgy45LQxR1TlMyQpi/H0E6pXDe1LOTC0e+R0iICv0/16XVtVpYWYJDAwCwepBWqWV2a/o3bjTDhr2rx9VKva2qrT+puIEsqBabmwYzcDDjJMDXI5mE9QpdVe/yGGzfULWdy+n2pBTQCUQnfqOtIFHi7jaPeivw2ntRLFYhHtovQ72AU6CN41wZU8rdHmhHIDeUAlMLGuWzG6YgoNk0Ss7C6S1cbvJUQmIgsj0MghcMsG/cvJlkuCq4sZb27UpBX8oSvHFFaeLdFva6lUoeGAK9D1HRuMCt7n/ainPX5Jz5lUSRNFpQJUY9MmJK2f/h8E+la9C8w1vHlHL+iUjUTpsehEeLdo0DQHEid9Lbs9C1ckTdzJfJLXUJQijeWPEoaU61D+DighvuUgSrGUB3cJYKJWmpjZx3RxlINfX9JrA/UjKW0mijaJH84D/ViIUOP+jgleS8GSR87xAaO0QUR1NrxEi58Pab4zkIl0DMneMxzkVr7JcGqns7t+KxzmSIJg88Fnbh+66KAv7qOBQTcf3fa5Id4wLBDZ8afK+arPsVOy7IhKofdXuDBb5J/kVvaCfRS5GusXhki+RuOrsr0NndovJHeIf7QpAhlR3E1ArwY+/426B00m7ODIWclViWuzSV6AxE6TnnJmaLG07dMOHGXzNG3j4/0WR/b2fPIr07PNhLOuBPJjTlOTfLZB2uhM0IQ1f5mfgJW8cbYEtvKM/pOI8VgePU2tuwU2SElbW7LVq3ZCRT4QOOq7TjMKR9d2e3zbg7u3fSaI1SIqKUPan76BFbmVgNPCCF6WkXLoXiUq1WhPZ+S91YZj9Pm6EfuMSsGpJrcki+r4jzH0FZSMKIcJSGQub2fQV9Ggj7ULDU3fX7gGzquKeRn/5s2HHTt7vfRdYAwP230Ud3TFCSVt4xNdXZHS1QoB4aG0YCI9YWq8o9zYkrSQNUajqrzk8vtnqxYmg1uxbwbmdOpSW8s5f8j6PkTtCtngmHmdczLbDacJGaSJ21+qbVeGSBil9ewZ3KAm3yhm7ZCUpryTtlQljwdWsOfzQzhAnrmQIrMQH4J2/hgMiu+AMXP4Kite5nzkxoRJDHPplX0VcfKZcV4r9rhWPQkTufl8IZAWiByxumnIZCqyo1EI7gx4kLv+iau8NHuj+kzIwf3QdAuWGbSaJUODXpEQq9VAbQurYRdNKPaiVHU2IXRHXDU9BsQ9SKczLES4685B3pgXZPkE+3M6YNOX+je+AQ1724Qr0Gc2zBlW91sdWI0kOV3enbyBURkHYrVXBuhpIDYYyaq6wdk1GhpWuLHGEzZj6mo9KRKoIt2LiikiXlCK65Rx0j9Vxc4oSmbCzl9SgOBRiZhVVd1agRaoLoRzeEYxZXvjEyVGzDrOPfSqaWXEzbe5byeY27Oi5wW3b9fS5vN/H2Fm9tsbkxUwod/WNptxSU+GjEJp1PyAjZBG+URxgBY1nGGh/W9vffK5c83SMjv4/dT6jF8Iqaupx3HFYHhzUCOOFillfrDPrynai9K1VA1r9Hzm4LLBCHO4NqsmB57uRfwKdQ0shU5lUafV00Rm2EiJEy79OpkNrYQ9GHdhnpeb2S/5O8HnLd3Tk66oViGSTn05nZDsTr8wyK6HXog0ez1/+hX+399B8vf9x/+V/bh7Nz9Y83v6V7v/zt98Ffa0sRWGMNfqaNUz+4Vwz81jSKTiY8Td6Lt75zDAvhVVSxo/eCvA/EeU++9xeb7wUh37ubTfzMxViWIsM/ZGmiv7jrxOxe+uD/ikcm35NSAHO/F+8FCOU5LQoreEBMae/YtQeeM4DmUnAjlS+5wj6YXjxkh8e3CkyDkjiaQIUNS5UbzhY9V9MxZK5q8n7DI7wRDy0Veb/hsN9I7oTXk1oqUjDF58ww1YI/Htujcjf8NcCbyxomqtGjEzlcpo0eeb8RFg3+Cou24bD1yxYRInkvKvdS7RXnYEqV1DBrgIjAFNA0HkP9uEY3VAwp9ArD2hsNBcgbYWYhYQk1qBzu0jtMkqDXi+Za1oZFMCtMwuS1Gd2m6JjL56bHg/rR/MVIBMRlFWMfRdS7zJBJmcO35xdv7AEeD/n3N6/CiRri/ZONttcJaFkTIxOpFlRlLLv6lOz2qnUx3sFETsjoJ3crUCj5oR09NXy2kwyTYVL3qnIq6Hq7ckBpiDf+sHiFNv4TL8gXi0ViYUikmm5TrfkU8hT0tj9e+ghc+4vkw8zM863KHLlwxwooIblrcuLf0m7xac6nwh1ooBu/YuZ5LhcYtgyfXHZBGBeinVG7L116QRdO7dZ4dUILsRKJb/c/vgopsYKp+KKXZpk7gV3ij+V8r47c5FS4h2NncbW3IH5GMDW3fPb3F8evkMN+63PR/w2/MBSvh7kmrvRAQo5zq+RFdeUQHn93aKdNeAZkhc/ukhFgj2Bq3ONaXSIMCXBoJjJ36Q0yABYNghTtzj0c7CTD3wgTKS10mbsQDSMjMY8RMA1L+BfGrnvkZ66YnlF1nWwFgn8sCMMikDjs1rRjgObtUIxauE5rd68cZRFhsEZnyGtn2SMytwVd3IrOPUNj1ogI1ImY8hsmXDIeFpSGjCJnOlR1rPyma6LzI0Ru/8wnvAZ2Z1L7XQZPl3HjM9kfYt64dzsMnOqXDhPH/xiG9MZOt5GzU4879CJ5DXr1pouWe31xTl7KjOWoqS3irLrjyJ3wgi6ZCgAl3RY6WM+jHhllQo/ANTDSerY+ozjkxYWwa38Hvw6KXbitGQouVApBD8JmuNCG0SxSVv8T54l3XSglU8UG5UDbJ2VW9IhJix7hxc1Bn6fzokeYSZOtddHPpA3yrSkzdAVec0c28lliKbCHdIgarxaapT1S8DmQZV1EsVPXqPI1H2F/hsMr3LC7UeBp56d+HX93V3HzKDizWeEcvIE0FDLp2dOqRO+7VB1u3IyBdVN1hjYsNT0/PgaoYBTgR0fs1zVoZ33bIwbro+h6b7uQ8xwiX3xNcxyUipRhySSHKhh9IdG4FcFvJFGlWJ0ARMuJsdMlvnBZs8a6vzfRPfCtWvsKrGUujCq1cy/jQbtdKMAXxvWFobwqWrkX3MCom7phY5D+f/bev6mNnNkX//++ChXn1iXZr21sfiVQ9dS9DpAN9RBCMNnds8spI8/Itg5jyavRAN5b971/S92SRuMxxNieLMl6z3N2wYyl7pam1d3q/nQwI+QZJDIF27s0tJFq++KjL1r4H7ny8PszuFmgSfLExYLV4S45mvcJFb6GA6SOfKZ+X6QuJxT3Rprb3U/IG7iwo2KGh+JRg3xkKUDE/ZmxDAcmJ1dnANEPXctTH2kcKwmIZHloxw/jO30ohvGOvFLRyQMS5U6OOiu4DWFhzvxiXp171y2IFRlKdKPy/HuI0AfJ5OhBG/EAkok/MIxWxA0BGIzhEFpiEhrvT1zxgws0EtLBUgKqRoUImB/X1dxOu1RTRQXu3gpKC4yjPF1aQAJ8jxAMxBIyr/K3YF9eII11KcGz/aWSDH/42oISx99nsUGJoe/ZjAtZ+M6tuRJTZTje1UUkrBZ2iLzulsCHyJ7g7jEdDGUX+Q0gVQxyG4tnhe2RdWovFWrkxEba8zPo+OPvNfLhskbO2MA8YRy9aYFeZL2ER10cZv7m7OumBuumBuumBuumBuumBuumBuumBuumBuumBvPhMEz1NCjaufml4AojGc7frzyU4QML32ssw6Fbr4MZy+AilIT4w0czyix/7+EMx9H3HM8o8PDDBDQcV98wosFFJEdh0s9iEY0cKYLiqFOnhdVWpWgGRDH8oF+JZhx//H1uSS6WAJgn+OXQY7NP8Yo63RSa3JQp8JJaN72Z2hsrbHqzOr/4KEcXeHItXe4+PAjLYwEKMBlKy/DEc6m1RbC1IMc2Nxv6efaev+X0N49mrhEkU3gIL+PLCiLVgAr+17RLeNonQoaACZDnzFjM4hB63dKVsL4mbDTWMxy5VhfSZjs/FxZi3ZbD/uFlNG1Yt+VYt+VYt+VYt+VYt+X4XtpyjJWMs2geHOJFA3l2hkcMmikS022L7O7xAZjiNKm2AsYFxuxkNuxVNN0ra18yLGL/5m7TkOENBWTgjVw9cdGcV7Y9KBkr5q5SXGVNPtJkzNLGLLQvV/ukQkx5Z/QB9Fecwn/G8B8wwOAHmSQMAMIwOmd+ypPcZtT+F4JTOb6tiGUVKGG/wMDzbbjOZESFngpvz3x/V0Ka32rB2ZljOUVDlmqoX4DvumzT6c+/2n/FpgIGFUSKobPtCqV865rCrE7HjaiAXrCK0EiTbOzO+OWACXi3Wr3Yvjj1qhAL8D08JlVqQpzZQsOqYb8R7lo9pmlrXi0fJVmqmaoyjFS4j7fTPZe8TFVlPX+5PHPEGcE7UdutswzN1e6Sq9AxWUy4cME7zqPFVSw8jE+gu615X/N9C7U89BZKhBMalR2q26zH6mgZzG2yBM57VWdsMAWh/T6CRtlYIcJqvOpLhV5OXTNBhS5rRAI52Tobz7DaLerivDw7jfit3mA3n1VNFPjPVWtYH8NSXR/LuB7F0f3cZqfnp0I/xfVam58XW5Q9LxMV0h6eou6NR8sLK07Na6MEA3QZIUc0hrBFIrO4LzMRq0l5x+VfeZq/R18zf8BPff4V7KNwHFc6wIQyegIsRnSqgjvZHJAokqMxFS5aJpXNXClYm1PZHiEYUuoR/IcsGQNMFFWKCjQW+jwxQoVxoJubCw5yEbMHcMoEPOgCjJ6MnJ9VYDtXdj31ZWYzLj21JI3SYbE6cr51ECjcaS58lzu6hU3svdJOfvY83Rbik8Pz9siBszftdMxjeWP0u4wZrwPGXwkYf8fR4u9bS6w4VPwdx4nXQeJ1kHiuCumXHiEOITDogIUn/UXw0ZMHfG4tPn6+g3WYapokLPaFvm5WR9+pdiOkBLQnZKmVhnJfyzNEUREFx0rK/wpHhVxkP7QlBMe0Nbf5WJBoCl1eosDMWyokpqIh1yzSmapKadi1KkxVWvWHt/vd/SL6QC/jSVxxvG6zbd+lmasJ6slQMR2t8dslf83dbvGfBPggHhPKaDmuSedDGysMBBbCMwCWc0PMAIDs7/bfsLcHcbzf6jUP3r7ttbYZazabvYO3B/v7b/ffvGk1o3jeFz8asug2zao6247s8CVhOQ7BY7ljCqFUZx3J+297O9sHMT14e7DDdnabBwfRm/gtjfei3kF0sFu8ngkmr4ij42JlCOCnFbWDp/zTmAkPyazkQNER3JskVAwyiEpKu6VSSI7dUizhtJewLdbv84jnVe8kxxwoepYozm4aycrO+VMRw9KIARnK+5BhaFngV9RW+2UpU3UoR6mRQSJ7NCnJBT+exQibx1OOqZ5p9l0ZhQgYYDPpK0ou4RETaWW20RkOb5tL5THTkDL3sgd6wphU1BgPStuzAmSKFgaOGDr7So5I5+L4N+KmO+OpNiJQoc2RpryXsBxCLx3HDwCfZ4dMt16X9Ux7TKMh8wNvN5oV+gczj4hginznyKJhXl2/rAuqhyjJwrrx0oYKe09lqdqCrb91xJKEqq2B3Go1WtuNg+n+wIC+XlnA/oMcGZIxCuYnC69IvGUD9itPc1PFdyslTzSg8LC60ugys5nmPW+MwTMH189qTuF2TKHpbvkc2d7eaX0z58iFpsu2ACQ+Wv/A2aHhFsOebJMxq7kOdHpIi4/gpVZ+BQFxCQ9Gc0jUeFQj8fh2UCM9xe5rRJgPBmxUIyKDj/+bqvI7r8Zz39BUa4m5BS3OEnaD3W4chE5B0R84IR+gl+8iHsGv6AeSC6m02frk5IFFGf746uLktW/l812Y20cXXwrTEE3VgGkfJoYuTyXze393buuxEL6vpJBEQNEnTFPIoMDWgBZcNyZUw1M8YdD1rxzY4ZGSRuuRI6nGUhWhrL7CZvVWpWc1LpuXz+T0gobV2V/hzIxdsVvlWZvym57J1n5jp3Gw32w2Wm92W3vz8sdH4yFNK2uqmUPjg3MzAgR8xLa/OLE92NrCUUHqdWggCo+RgC5i/mJzzl3iQp+LAVNjxYUmPS4Abxsupgnta6agTbURl+9zgU1JIxmzetjGkligT+fOpmRIoUghypQyVjsapwhDGA3h7gzQ87Wi3h0G6jHC9lWo/fv7+0afK8YmDPD2e4kcbOmhYlTXFcMmhFvbzdbuVrO1pRWNbrkY1Ec0MfZIHYVTNxNyMWgM9SgpH1TNaP9tcyfaZQfb2y3zQxzRvYP9HUrjnf04nrvfuuuj0YXXoOqSOCPIZTRY56J9en7VOPntZF7+qk2m9EzNyqh8JnMbXj9fP7RP3CkMP09f5G08zX3Ae+QqlJ1hEHz09JX2XJFCN8XsC2nzOvtLaejBCJ0ALOpcsXc89NxxwxEebwVbMeiGO0LAuwZWTt246cc8viGyr5kgqaaT1MWkcSrCdcqSPqHCr67hasxRzZgH0R93/QngsgvJzePKy9k5g6oqlDfbStGJxW0H4VE1yAAQvmaEobSP10PGUi+VSaaZ64Ocq8ghI8wbeoGK+0gnRiljJgFKbKyksaagEJxrflcoN59Z0wV+YY+LrTQdbtTIRj0x/85Spsx/W82G+b/W/nRRl5FbF4AknucwTUUimBhof0S5PWPGhlSJybRnUiiACrocOKhY2wbDcGx+62XRLdOECppMUp4SKchQ3vshR8Zs82tC7o0/7ZWClrhGwatEPsJp4r8wQvlT4UfkNhyFhkSapWMecZmlvqdVeQmeYc7GrJvygaAQl475gKW6S5OBVFwPq4qRQg6NPfCIn8wbAoaewtpNLRii/ZoFw8Zpg4ynQ+K5sA0gqG/vaisXfVEdNMn2Q7oKbaPK4UkFoM5WReV941A2ObllqadDur23v6Do2QNPvwp03pMyYVTMkuk7/FPY5pb3Cc3FEvYmKL2yRp1tLki5+YmLQYX9mMx2CaKA8+4TnvpHXROl6U5k5nXN+hRcRSxZzQNFmB0fduBkeStixRJ2Z7uwtMdmV/30qQNoGOV9EclRw8zJGg/jqAE5/IuKWlOdVXe0fO02KOgAR5CU2SJ3GjSR2BUjUpOxlgNFx0MeYbfyND+jwlHvaMLjEFfKuO0qS7Wbz5jgd4xkIgfotT2F3Vfzr7jk4nx8P+w9TUkm4CqIzeipf3J5+emy++X86vJL5+rkuHv56dPVokuWARxMVbBBHRy+YIlC5g6qspUGBaY404yOKn7pzRSrfPNhPLh+g/oUuIXMr7zRqG/kL3p+BD/vhT/5/OG3399+fNv+ZVHRmhNK09F4DuE+djl0bN4nKmK8Nvc9kfzmwEPBvAh4oW9eJWjxA6dl+YjYbm636k3zv6vW9mGrebjT/H3RIwPez7muvp448TY7WrrmkqGOmPHeGzefTwGl8Rh9rPzrj33P2WTGn4ODg8UIvaSHPLcjCmkwAItUgBE3ZoaUiWvIZUw3lkzwNhoNEFRwZXN6mbMZlOKSYp5tWUC+Mh9wTZOijYFX22YzDSgXqS64HBDXmWC/uELL/5lqnRbW4is6+7lyGo2oiLsJnwuz5Z4ncUS9CltJel9Ryu+zJHFUEUMVbhRwF2wzf6vspnM2nY/nJ7W+3pSPh1uWJknubATyh9rEkheyhBcYuoCkDj0wFfGe37zLxJJ+4xvcGnyk0dCIvHBzYNXBydn7R24N3u7X5784MJz0Jpp1pYorq6N9NzGWGfszg9tP2X+c+DOudcLIiYg5ndsAMDxE46xb4TXi0cWXQjXuowycCu0jvvMRrhhs1W5wYC5yrp48aIX1Nph54bINfJtLQ+5mml+buXwS65jmRoUGldbLeKIx4RrChXEDsu2o8DidfXqLB4gNGWMrCZn3spiLf/YAsfo5OO8nVGsmWDyL/TNb3IzDsZgwxLjDmjw8FqHc+Tm0DeH2skF7VVeo/lK8kTG7K+x29Q6PpxzP7VX73enrRVgBBMaKmMC7XgR5fOw9eQ6tZpdWROox1ZTgXXJAqJ13AVKZ0GoSojGvLKXCCjWfYBWSRSjQqrM4N5oPrQ1wuH2bdEd0bk8+i+y0S3u8InK//r45yZ9xkT2QT51FJF/hEWV3ylOn1HMo/eYKb4G3z97zrurswOFWdHa4HpNzECdY4HWWGoXB5YC7/rI1CfgCI0wbjYauoWV53YP4AzMLZf28vDjDhl7tVRUA5pqhEQfEIYf0JiTNevWpZrSQUimYsepvQo4bP9087/X2X4yGfHsxBVqAgZlKfOb19M/MRlJ6tMcTricQole8l4Vis3QstMxwBMjxPBk4zyK/M6RCSEHs8CSiSWTb5eam3VKE9xNa2bWg2YgduzfhLYPJFqOzwqyAEplhfeHzqHTI/13Z76esqhv/EsE425IkL54SComecxHqOyOEBTfPo7fCM7RErhlqMSrvuNIZTboWf3XVdmGJUjufw3tdjugqkoMfpXiBnTCAcNA3Olphsr/7aEWOFzha7RefYY4s+uJYyTmB+U21EL0Vv+RTtD7/NR9SxeJuwnsKEgIrItVZpjgd8dPhNRKkCPA0YOhZPGiW9CvMyXTDk3Qy6kmbumheq+d7JWKpaiTXMySIVRP4+qzLpNZ+vblX3965ar49bO4d7uw23u7tzH+hhKgpFV4/Po40MuvOkU01e0AthjeR0GYXbkR6AcwLVslhA/E0BAb0o8o+uQdQ6UJ9NxToQJ8lR0g9v7/78uX0uEY6k3QkhUv+Iz9/OT1O87pv6BPsknhh5gxYTSb+rhR7p/mmsnBNWub6SIpUqyyCWzRqc+qSiR0ulBygZEdyZKgaKxppHkEp4IhrPgiv5S9Oj4liWQpw/fcsSaDsN7jEpU6akd9hEhAW+YjVCI2UTNNpcBvi2pwY6clUz7hji7aj3b29+KB/cLDzZm/uUtL8cmV1u/AbI0e0pxIEiy9vkCA4JbHwemdKJnxWs7/npfBdwc0V13hbXczky9uCwbbSTI1cU0ZAMWvMahCfGwu0h7YCjOnRO/PJ3FtuEdGgGjHMrDX/wKXcjBLC1s6bebeOeQEbo3ivIvX18XgPpyhPmg49xuKqZ+18aLeemDZPjqtg4u29/Sem3mvNE+9YcOq91vajU6cxY/NkcSw0def45OQimHqOffddw9xsuiMNwwb++x05YpAyQyJbao+15zYrSpGUj3gyqwBwWnuNqTIqZJ3A/bwE7nkqM3LJrlO8v2WKtxX8OtP7b8v0nr0C31HC92wG1nnf1eV9PyLxdfr3i0//fmTlfpws8NkMrpPBV5cM/oiEf7Sc8EfYXKeGV5QaPlve6wzxr4lrnSj+HSSK29X6cfLFA4a+97TxgJXvMns8pP8fnEQeiOGl5pIHJP4gKeVljl58ZnmZ5JeeYF6m+HvIMy9T/T2lm8+g/jvNOi9z8sKTz8sEv/Qc9IDil5qKHpC4zkhfVGLfW2L6LBa+p/z0WfS/4DT1WeS+2Gz1WcR+H0nrT1L+cnPXZ5H9YlPYZxH7vWSyP0X7y01oL1C9zmtfTGLfQ3r7LLJfcJZ7SO53nuwesPLd5Lw7mr+f1HdP8ToDfp0B/zdnwLu9+FIT4avJdX+OYNbZ8PNL65smxT+TrG+XNv98wr5hYv3zifuGqffPJe6lJedb4l5gjv43SsOfX0Zj9i3u+avuJpMz8w/pK5Mz/ON2mMl5/NF7zeScrrvOrLvOzLNPfvj+M57Tf2InmrIcBnOFJ54VDT7NvWrLLzRpCSrqbOKv8+x6zIxvvOjnGmLjaepLyfrP69ro292U1mB3e3f7mcSB2zWHcJ8Vs7JZpNVFrUBBxY3Vb4srGJicHq9CtpbKCvWTJTe8UfQE4+z15nOJ5vplx1+83wCUTkUmzA6Ez2sYkkNHwtfr0dTvUZAZOQpyG33p3qEfsh/0H6ekp+R9yhRJmQZtxrUlwkWB7lkP28fCaS10MiFyzESQRT7vKmRjQ/nzdnfRcWSRFHFRhQ2pUWNMkGxc2i2tne3nGmz3UhljoBtzxSIt1QrdjtXvGrM5LMHEEzxd+jstlK2hHLEtmvCIzS2bH8Oj/Oe4kj+0D/kPcB7XXiNZe41Pb5Af3l38x/uJL9FB9MR9e/fPTf2SnDtvvv2NrtsUDS/BMfMkvUC364k378fxyZxU/j6Py1Hw0v2p+bfDCpwtR51iA55qKwvbj/oy/OzxhtTvgV2CDaTB3rKHjR/A7AR0Fyw5yP5i7ZqhwDLMTl65JfrJFUrBLOReca2ZbYPdoynb3yVMRDI2RlX+Cr6XyjOuyozXSJpFQ/MWdpj+xZh/Jw9QuHLJBp8zpib2s1oRjABaXadj3PEyT8eCYjRM0bpJxl3z2U3DI2jIsTU2e5l2JkOArMS0s3rvmHIVFoAckWez+rp9owcuT37uvjs9b1/+J3LOYmfBluzJ3z+/y9pHzfYvn99dtdvtNvyO//xrXjsDlhhPoK9BLk1V8BcX8ghhCbBq1yyjeVFwXFcv5IVy4RmmKaEuWXjWN0H+di3cQjdg+VMuBkEal33ebwaYkrwywuz8XgOhnvx20T4/7nZ+f43rHib7eBq4zp0bKZgd105p68Ah681OCBvVjP7xy9nVKcwFY7vhkoT0cirvqOJQkZkATBsOK7IRUzwCXvOda8Y8/vXT5TFu3JOfu5/NbwXSg10WbCKPHxSziI9oQhSz+dLoc71ijQG52Wht3MxITdr8Y+Po8Fppeq1Y3NV6fN3j4no0oeNxgz2wZ8DawcYqZxevBtVHUxFTFRfXG49Rqy0cTkY6zSFuiXm5GPK7Khho93qK3XFYL3A8XJTLzFc6Rj78++zjvATfskkF9H7gd6wOpw6/s1mCsg+p+SViO5/eX/3avjy5zp0ip6rPr66P0GKxhY/XpyNjxrznCSMnkGZoNugnmDS9vufCEGr23dxeE9XDCtgHZBEzdggcYpaqZoaDNxR09KyFu15aIP41nyGY62PWywaDoDLuKxIK6VyliM4D9xnBCe1ZXtog81GcG0ug1Yq2Uv7R46bSZoBvmTJtjuoRs8hUfRqZg5hqRsb8TmKWspKZiAklY84A68PRZ/SYO7sA4wUegEMgRIOzcbDUmMYAfyQmZJxQ8yQX5oQ5OerYzFNyFZJgh8YIk6HE6oJRjaQaglTudJJ9AJ+BKdAmsGcjV4HxkvuSFptPkBsrxcaN56RtFGSkmPbZ5UZCpxeu5omlLsTmAnwiZgqSpGtE9lKm7piquVT1fEdom2RbI1HCmdA14h41b4lg2hjRjb5U91TFLO7ycYOc9slEZoSOx8zi65xeOL2tZU49H9/U4ElDkjbmAgoNJEbJgN8xYVjQit9xmiSTGhHSWP7GBLsfMr/NuYbJKAQSe5Mc7TSY6rB1sN1oNrYbrT1XGbSMKV1hOLedJHh20HTIUtweUhhBKbfhrMWFeEfutaiBDL12yVJ0NgE5LperHdWIfMiSsdlOKdeZDcqCVM1Um8pskRRQ0oa0iFwFYdgc45Sn5BUigTHF+hK+YTaaUaVwGHoC5kcDgeT9CuVrxscCeB+yNh8FlQyzBX+C75YXR/g8HiWMvP98fJ7WSCxHlAsss6+Br5lai81+ZDZ5wmn6jNp7Pk8Sr3+oxLXV56cXM5krxhrSykCY3P4G/KupRYDPZi2Cz83/iqz8OZPZVXKHjPv9iRPGPGNfdii7cXcgDuoN4kG2JgVLZcTE604inbzowDhOhgBb6OiKdghNmNIBt0IioAswlntUdpPBFEEBkR0Nr0icf4CuVEC43YWHTjc7ouIRT+HqyxjSSibmMNPmuEtr7lFDGLwFp8edrdOLTv6HPlfsniaJ2cis54YMkEaCBzKVWJS0tEaYiBH7JWbaFrYaVYFHW8rIq5Pjy9ckhVi6L1xiOlqBhqaZHsqq9rAxj8wbPKCC/2UPSKnIOGVZLMVk5F41JAJedfjJaFiJiFQsLihVWEO34/yOAe1e2Peha9fRVNXPpIqf4cdFVLPBSiN3xZfbTWDFYo1HO1RQeMlsZxt7TjkReJmYsyrfNK7GbrYo2lqz0dg4X6eBBXfG6O3c3m3lF+xX4MGX7tZh2e1yOznMZvJdIqNbotifGUs1WIrjrJfwiByfd7Ay7sPV1UWHbJGrsw5gE8pIJuncR0tV5ZVt5PH0GNUXT13V4D3XQ6z4JmkkEebH2MYDMDO9TZrHb5zanLlxnrVhWs3WvHJJeMREWtUlTOhm2ZmsZY421NOawYsGq9aMS0RjRugd5cnMAr/2mEZDRrYbc6fcVXoBxQq3tMAnhAIdhOp878XZp6N/d4/PO13zEnSvzjrz8qYYXNxEVTG4eekmIF8uz8zq0a8hj4dr7Vd35mng/2rEaIY3Fj2etTbAinDPm5spiWWU5fXKxdnAXTNv5uZmvp+E1PkuqhknIkRYpCTh4hb4wbQLJDDBSywUQc/5JvkhZ5G8wAgqRypd3gYTjXt+y8cs5rQh1WDL/La10PIaC6wy7JnzqZ2bMl0jY5nwaFJDiwUtAkhE9KeucbfgzX7W2Y8lryM26uVQYnmAzgZPuxdW5Xffo/U1r5yy7IXofojrSOWzGLyM4EhI8zMBnafgMEBMh68fB0WFWT4WWs0m/v+8sqs2be0K3mLMWNsiit3xdNp06DHDNewdiJrYTi5l1hpf4cknZICEQ9epk3/yhPPUts+ZRXaQLTS1Nz0QyDJ/E4R6pyKSQtjl6XtDHV0hotiAKgjLpgzclrQWPI/r3+N4cYv6tJ/Ie7iXU3HuSb2XilwdXdhRaxY6zJGJtEWM3+UZNFxwzWlCOv95TsY0umX6VeoQE+2gZsCcFrz0wb3oja7pmayCTCYlefyPXAs4uUCiHLWDQ4TS+keERjpD3IWUWWR/NSIbfrwNoz/gVAuGdVSIKcJThPy3f7beo1XeRotrypM0PyzsiEgKYLeLgVvgfIqQDxsy6RQmQL8auLAjBjDn4Jz+dyZwU8DFF0Yd7bdnDZaLVkhdGrIPKtgsI2YjTrvaRzj8lmOheLeGYTIaxyRlIyo0j/Aa6gHOWCoIe8BUxVpBqfMUQmv9LDGP3XHDLv+L5TfQhlGmNC3E3lzcVPk5+sahdmMKVKHuIMHAqb3yTDVPEsIwXIfYShAxAF87COKCwPo8SbxuouOxkmPFqWa+pcNSTvfciF4LGVTwNuCRaBfMh7cLWFF01OODTGZpMsFdDt/x2h/ucVNfxJ3wVJvVPL2oEeridhCCzgR/IKk0+6dByH/mEqfJPZ2kGNAvHuX03tHk3oebhv3gBkVWtN2Esa7yq+s4c+0VIFTe4OMbQ8pNA8m6qZGYjRncChBpbQkiRRCRNMfsVOIQTRsFvMVFcocsSA6OQ2iSSE+lDXRIIUcyS62KQLnnH3sCrQaxA71qd85fl2BpIMmYRsM8MoWixCxPNuPk3mvtH0zzHIZnXiLWwPzZSp8CTmZn7P0s5SBh5OzsqCCFGck+8+R2Popg+A7SegBKJcDihDfRbgRU2OUFertbDLjAdv4KZQvlEiA1OH4xpj1gshFxPamqOdER15PZq/NRCq0YTcrkSKG5YGIWds5KaLq6l/UEk5YA58YfcC6nAmbfTGfTfd6e1xAuMlORgM8LXZ/sZGWipdJD0oYsHDqDyExoNenyVFYl8yOcgpx2PoHQSxQetR8lq6qtaUmaucpHVNC4LCnQ8CXnpkTOgMluCCBfROCTYsB1FqMpklANv5Rj2f+XbCRSbByS+pudxn5r9+1Os0Y2Eqo3DsnuXmOvuXfQekv+32aJyArjU5tfUqbqzqSYit1S4sRTIxSjKWhgyj4ZKCqyhKqwv5sesgmJAMzNWNQFbDV79OtiPIwrNBYjJvAuBSoZEokpZj2mckQsZ7XnhyySl+QAsxgzrZHI6agwge9cApSjeRCdC7DFzdk9gjN+wKTjthy46clUS1GPo9LajGWqaVLVW7Z5AcOjWqNpKiNezJfzJBdaXmXGVMytXpud4VNLRnTi41y3Qt4LyGkkhhUEJVPk99MLEvBEYGuDSXlH1YTc89hYMnA82rcaLhHxx7L8Dnabu3OHY41YFRtwKapUYJcww1P6q/756DG6KtJglqaZCuxzxnqsvP+Mdf+XnO5mtZpj1ZWdmPF9AN9rBJf1edo+bwfPzSTeHlRbbTWAY5luvcuYkGm3zRWb//pm/BUuZ2cF5AlCOTI82E+vTi/uds1uP724239dtKNGNKriff7YPppNzFSwW0gbyEZrFd+0y/dH5E1zdxtQOLPBANCMD8mJcSJkpJkmr2wIskbe1ns8t8GNrfsaex1a08heUd5L8kc2HjMV0ZT9FxmyB+pScKHbW0oG/M7FHMM8POLIx4kxKToTtmcvF5oNmGqQThZFLE35nX0QXdiUjaly3fKoH3E4GQ/ZDO3bbNabzfreCfx7p769U1gpQXVjiZyRzStFRWqDM1BXFgYTetQcFOftKx+js7iJ3Hpp+eEnyVjxO6Nujz/+/jpYzuKhA6o7kTQmPZpQEcGxF6QWSEWUzMxpOOXgGj7Hcq5CsmcVbIUCgGrZlysCjHI9w9crluzhtxfy7IqFa+VlWLKY0Io9VAeETFffMMXi7iyfcsUNvvlgyFIdTOpkhHPXgJHxmMWe5KznXFG/5O/z8rBaUAoBw9nok7FKNvpSNuxzjUiONoyS2gg/eLyLOEZwASMV4AlZxFNjldgW4BDxSvitLZvEPII06/f5gx8Rnnk11Hp8uLWFj+ATDakGrxvkClMstURz6oGP/KVVb0JSPhonE6Lpbb6uGCFLaKpBuSa0x5IULSchNaTIIRKw4f7q7Dj15+hGJBvZ7UZZ/QXSKOwKL/Yqd4OfBDa9dwz6mXmb/8xoglDQQSKgy84KDPU8LQ9T4dhDxMboUEAuFnwNUwKKW8Vu9wYhp8JYqFRpHoTVSYkCUB62Xan5f/t3m8HlvRdwM7LEVohHVORxdVLcV7VAArY1QFpmqMcSeT97m89+J4rvTSjbjfv7+wajqW6MJnYE3Bj4ZtBUb+TdzE9tY1YcZUhzsGjkFct+3DS5zbaRZr3tRpr1WoWXr1bYxDl5BaBhK4VgjI0avnNCEq0oT8wrM2aKyxltWw0D89p7Wo67wMY30Hqs32fQq9fMajeK5f4Vuzo7fl1Dl8n7S7ncvdBQddTctRsoAbNl3V4JXpJGWUFOz+uHDSptzSrBPvi+NSNoxceUYr4S86lH+Lywb7KUqUa1WyaM0uWltT7jN8hlILL/2LFIBTk7bl8YldVGjo/9UOFe2Sxzx0aUJxUx98VwABMUm8kUCDDac8UYHt/4vsGwuZnmxwCEmp5IK0t6TGlywkWqmd1YBYnAZeLftu0wn6TyfYdMVpZL83iXCpsvY9Np4Hpty2V3z9ieSGeFgdNwJXCyMhFVwiFZSYG2gVoVCL8prAUqJN5hoRGqJUGokGIy4n8FmdkoQv/rl5T1s8S8DDfABY/xdhZ+MdzdeBMgkqKPazWd7CfiGVaVcf5mbaqvIrOsZivZ1YIpp9/uTr1V36tvt+rbze3d7d2D1vabt2/q2/sH27vbB7vN3fr2zl7rYG//zdv9eqvZbJaZWF1I8Bvrwc7QeJ/CoroncsDFk6KiDfaoDlQyqQx3oe3qCWErw0zuVgKij5bmRwsJbnmPCtql8YiLjRrZUAysbjHomgG/Wl0Q5o45IMIgecx99GRxJ3PfLqUi6fBvWEwBEYo8Qzpou3xPUxLJJGERAADZT6+gq5gdGMreJjIjfS5ifB29ckjkILVawXefcXNDWTBm49k3tS+lFlKzQzKD/hGdYAFp0q9jczXrxtnnLOZX4yeEj7AfIkpi4yeSJwB7QeAXDP8WS9F+yWeauMQhKGWN5AiSRBSRmR5IhFPA4oEagRw0NCWTidsRH+Q9g9JO7RqopBgTmofeUWacVakNz0b3GYXm1sSY1ugBSqmn5MR0nhtqM2ALK485b4WtZbu+2XRQvOPJm76kuWByks1iGDXgoe2KErPDhnLzhRZS+azEadosahsiXFiuXHImfr2Rb8Aydflaf4U8M2hpER3N6jHq7CZ5krIXnOvVtlcBWJIKV6EuGZH7TVl830EvTLt+ASwI+XJ5mhe1ubuGV3x8t3uI4V1F/uDju/3/gl9fYxKYYphN54cFvIRXmBaWzuoH9Ga7sb3faDa2D/d2d+aGZGbijispRmyuXuwLyfQ0T6/CCiw/oxVzqGt5SlQmRBGqx0ZVABbLPagyASrII2GFA6fklYXkw5sxTQdcDGrkc7sWHMd3LJHjERT+MB01XtdK9Bnf3fcGw3Rbc9RSB+DiqMojDvYty8G60E72StOosaCGMQ3i3oa7YPLyEucszb264yEbMUWTChvZnbg5SqZd8Ma84n2AwmEPPDXbd+p14TERxlZNkonF4UxdszXFAFgvxU52N07AxgiOJUuN9i9L6i3d7e81m/2CMCqxamf08fOZ8rCN8y1x2p/e6ZEcjRVPA9Nf9hH0QciY2eyLAsu5XvFbBgwHCNzELJ0hWPuVUhO+kBiLRDWit+Zc12Qs05T3ECzO2yl5KMrYK2Yjj5hWPELbBYCOpqyXInSCMZwgYBxlCVVArx+SjbiGxM7cYPR/O5faJhhzxHgQDI/slLH8C/ZNKpABsWxZEHv+/gepzFg5jM4s1eTGfM96VsbRgl+N9MHMpjOCqPHOG7bHen3WpGw/2j14sx332EG/2XqzS1v7O296vbfbu2/6+4X9WFHOQiEm4TYbZoA/eWoV6+KCXerfTLDzASDD7heaJPIel9/3ew82s1d6IFWVQU29j4cD2kLRS0ZLweXlOz0L9535GyJ8mD88IazpQlPg4CShqeaRRaAovEXOYQ4j53jRmKXaJyuTICj8jlGdzhoEQ6tWCUMHyrFH8/OPmoW8yV17RFPpmxcD72aC/p0zgvMhH3X7uhU3kYxZpflobjdRvyVgyik9E+wEfS9RF4UHZHhsC5tG7v8Gr2lQehjiW0J6FRjaCPNRCxbBse7VYp5O1nNdR/2g9jjxlDmoFzfafHtpSiUHJJR31BQB5llc86AOrbhR7R5sGBLM9OkMA8kcemJzMw8rAKS1tdvhFg+Y87PVpm71pHJEWiCMEHw7j2RIeKO5GGQ8HfpVy19KeKXNeUGyceGot+ecTA2pJAw4WVxDKxcBVjDkLXiVULatZu6aXMG43fOa1FEreBlbpkZUYPFSymaYCW6+etP+0ypqaOvJrX2O1focVqxr1+NHdj3cIq89kOeIa+2jrH2Ul+CjzL9j117M2otZ2It5xjZb+zlrP2ft56zWz5n/9UsDkNmVlggicjGB8aekMTdApaWxIpxwuCZ2OELPPo3gi1PtrdAun3EHXLBXvKVQuIREToJJTtwin/ZxEKn8GFSxKeqm3/JHFPy9s+BuCrr75iu6/ZkLNhPHZjVr9kux5ZpbMndvP4c3bTW9liSR8pZQczQiLibTeG06dWMfdHnzZ0hZXjuN7cbc7Qb/vrfOp7fgbfE6ArLaCIgV6zoC8iNHQNwiryMgzxHXOgKyjoB8JxEQu2PXEZB1BKTKCIjbZusIyDoCso6AfPMIiH39XnQExNK4joB8LxEQu2DrCMjX5LTe0S9hRz+JPP0P2a8+KJdHiFy5Uf7JE9VG+JQr1HHtfUqQxyRlWGfSD1CrHeTvFgKuBAUeaaF5UIBBbDYGLcIi1yxeSwhkDrC21kwIwVCQqgIRIUR03ssuZCrAWf4KwnKIZ2NhlnOeHgMSDmaJpEh5DKgORmbGtUi4YGFTXETLtaP2HAQx1BSLIt/pYxM6MRSF6fZ6iJh9GtS6YejJj+1iDhbywiFJIga0q2ryDguU0WFTtdnPOSl4LhE2zov7+8JTtnJf4ymv8ZTXeMp/K54yvomuZXmuBP9GUGUkaQ2qvAZVXoMqr0GV16DKa1DlNajyGlR5Dao8L6gy2k8vBFQZiFmDKr8YUGW7O74CJmy0MkQg8uNPepzhmYDCQa8vohWFGJsYvHiA5UfF0VhSHi8QYHl+V+8boixb/UBeEspy6ICuUZbXKMtrlOU1yvIaZXmNsrxGWV6jLK+MiDXK8hpleY2yvEZZXqMsr1GWZ9D5QlCW9VAxilK2WU9X+SePZz1tvMdsFfOaJjRNeX/iCkGgGCthyvwYRRIb7xvDys5FNH2QQo4m15bCa28UGYY/nl5dnpD21dX/Ovr39UP7hPQVHTFjUzWuRSkxymgDw2+BknxgSwfm+XgvhysbAnAxsdPjTo2c//z+V1uz5vK7KYnkaGS0tCW5kQ8N8WVgqKFppHnU+CkkbMSogMbuLiFM21iENYpd63Ui+/mY2o9pCbve4KMxjfT1xutGYUYWDUEhPD1pPjKmotxyAVEOsHFpNPQ4yb2Ju6bSmIeH89Rg3aJIjsYJT+HOJh9yIGniyWQihhtGEjNhtKfx0zDxzpC+8T/IkqlLTCgeDaEKcY73ERGyZ7516AkYGeT3UVzExqWWKiWy998s0qmdz4WObZYdFXHB+A8AlSFy7YbkUmzlBM+d7B3w2PAkzcEt0jyL20/wlyAN8BGuZ3C7HNWNf1JS0zJCeulZUMslOi0sGWeJRVXZuxt5/fR116i17h0TsVR1wTKt4M7aUXDdVQDKft3NUvhPoAWNHjyXgm2dyfutjyzm2WjrAx8Mr7tpRJM85ZEL0h5DZuADabujvXN1+hvZbrTCEy4Y9xckyGc15xQRGNw3BaBxzGJzfEZZquXI5d1ei5OHMWjzcNQ7e7+u2OG1IOQnyCzouAo395Fg+NOZvMcfkDf82TC4Mb3y+MByqx6sUEXLfuzSMPCotYUCmOxrBBxnkbtbzA/baVZPL8hDA/4PktexcQDknyT8jimnRttikDBFTv69pCqF0EXFSA0BmoA30zwF9nq0EEIhr7jKuz74/SX71o/nUrwuCW485Onw/0zH/xcWTJ8nrEHhhpbN48HHeaFX0fk8g+sNY3RDIJ0niEnhhp5ZDC2kBovSPI3nS0puGRsTrWh0i7vKfB3GbXzFGJ+PU20LeKuD63AuCYggny8QQNt/aK8K8qya3oT4CAb5wBTb3EyhjFHU2cOQZimEZpz5hXooMKeM/aQYYVZnYX62S/o5JFRFQ37Hali1D+tSy2NGNcJEpCZjzeI86M8eWJRpViNDHsdM1IhiNMZ/m2OuZu2CGrlXXM8oENn8Y8M9axwsfPqrjtVcaxnJmHVTPhDUmOmNmA9Yqrs0GUjF9XBU1QLDfShNwdLzk/lSJ0MPhtCVjCBM6kU5FZAPC0s9F1Dqanwm2D08JTabwl/hQD5/HkCZBKXF5kkFIBQ2pp8DkKBscnLL65QO6fbe3GWf868K4ml8JQjSkzJhVMwS9zv8U+gEcqhIcjMYIdmElrKHb9yhCraa+YmLQYWYJWaTBWGqeXdX0LKngJER4LpALXCfRoYRTL4hqezre6M30HxrBGMyV8yfEsUSdmdd4/bY7MWfPnWgdGzW/cuoYeZkjYdx1Bgr+TCpYBU01VmVsEvc/DgdxfSlaBFTtnKJESRl9mr0M7zDSuRgANnoRsXKgaLjIY8IU8o4jz6bMxz1jiY8DrNrpTIOfqrdfOSM0TtGMhHUk/VdnhZ8Nf+KyyfPx/fDmnM6E9GQRbez8BlOLi8/XXa/nF9dfulcnRx3Lz99uqpgNTPws6vKq+zg8AX4D8h0RbVZssR5pKR5L8iRVGOp6LMay8zNtGZ0VLEWMVOsUpXAeFJZXWHLQ50CsThQQe8vP+gzNcjJ5w+//f7249v2LxVI3Zyhmo7myRh8zN49Ni8oFTGavPe+ItFtKTybzJs1YIJhpiPUKcJ5Xj6ptpvbrXrT/O+qtX3Yah7uNH+v4OQCXTCXof/EmbzZ0VI59y/QRzN0DImGxXyXX4xiwv5s+dcf+55zzjF2CoGrGgp9yHMjqJCJ4nq25RrR2EhSJharg9oOewTUHVpPqEzLpmtF1gPo5iVXYLZZhFfAA65pUjSQjEcNGVF0QLlIg7DVkJEeF8b1gEBsAbVq5ulCC8v0laNjdSI03vRyDup7Y1HDOOYcB49yXp8UimBxixa+vxLOzEgrdrxzr9OCI1AssYEy+dmuuAO1s3FhGMbuCHRPs7GhgNyMzFQ3FhuLm/eSpeQGuAjgFMw3IKr236Bv3KUcOCrm0RpJuYj8cJCkIHK6fT6ekdAqpByzAFJi9QExi8aATTODNOKQjZLHFdNVMOa896p481kgOQaT803tXUKDnPr6bpvniZpIhVEtrM6sWf82r0wqyWVrKEdsiyb5ei0lH0NEFydfVkQzX79jBREZZhECH5XRVV58xVM8ppw9lNv3gvzKRSzv06laEIwa5DX0vl4Dj0Ojs0LJRzKZVcK25H0CyJMl/QaEkTQDF7KibfeRRkOArAimcm/Tydn72W/Uw9v9+v7c6DlfYbI30awrVbz8tnmExXcT4ziyPzO4jZD9x/k641onjJyImNNVOCGGvWicdcv4QStj7ujiSwFC6FHeToVmyap4sodzNy6hkT3rSD150IpC/BSUlUcS9UUiZsbN1B+sDXKKxNjwXe7zaDCQehlPNCLOjcY8sRozcji8PUb69BYt1RFNwJECVqRKl7z28KJhD2Op5rr27ydUayZm3/yf2cAzDsdiwhIGcMQYxwbTfDJmKyN7yGjMVIP2eHcmutLK9usUwJLZru0gZvYOTWS4x+7TiJFX7Xenr1fMJWTeVMTfB5gCk3seeydXxEbQ+n3lxoixYjU172LAg513tVwwodUkrPdfWYGdXYp8gorXAzNbKn5/NjeaD60NRFHGFuyJ5yddiQUfcpR2aY9XxMnXX3u3XmdcZA/kU2fF61XhqWy33lMH84qY+ObaerVKgI9WelzicNUfl6mtLZ6D7sez+zbbglC4xA5T3oTNkMNyHBoNiZ2svJEKnsstm9jIW+692Os6ix6WMp8wGAKc9SYkzXp1zMPxQ0JBoGBUD8lNyHHjp5uVaRk/ZjTk24tp/0LaXtEwHvJ6+mdmg+U92uMJ15McWbyA8hiFhccrY8ucPHI8T8DgWZx1hlQIKYgdnkQ0ibLE1hv48uqKeOondFCV7WR2dsdudnijYbKVs1BhYUqJgzDvcGUMOBCeruz3U1ZV05YSLzhbddyk/K951uU5GHMlHjx+kZls5axUaFGUOEGw3hUzcMeVzmjSnT9/71kWeYkJO1+x1LECfhbfWgsws9qtNVi+jGB+QwMm+7sNDeR4tYaGHfMZdtuiL6kVqpOl34qrZqViXTPFxkq1zZAqFncT3lNU8coSRJ1PgNMRP12xhijndVXsaZb0Kyw+dcOTdDLqyQTrT80rvFIH01BbZRQD7oj9LDXCHqIki12yQsIo/BzL2b2dfBYIXP5AplEBfsMPnJJXLoFbU9UY/PW6BjdCfkyPigB4+F6f2av+mLzaGPy1UYN7nw0cYWNG/71xcEIsLvS+VLcrruqfOgbMPrmFK+A85w77HE7BHdLgVt6/Hl5onwSGZGpBr0I/tE97gqv86YlKo/tB7SykbW/WERXbLCvVZkPYNYJpXF06DGnhW/CCLp/PD2y+gdUnkCJb5OP86n2nhpoAbsZpIgcyg9t5Kkg7AbQtzTAg2tGK0RF51T7uvHbpMcwtuR8Vwf7xUSz/dleU/52l2nhrCYvJ/zxuX7Ub5HcpWOM0TxrDRm8juLUsNMjpTdyNJWQOQNq+TRtISSzvRSJp7BD3C6VgpC1I+7gDF+YODyyXur03l2p0SG6ODq/HVA+vtbw2NIPz4t+lw1SOWNdv0huUwM3Up35kez+PF6qhueCSXMhN/q0GuSlP6Nos+SGDb5r3JaSi9KXph/MHIGcu3x1ZkkB/zZp90Px8U8PEivCqFzZegMwQvP7hIgYu++KaYFBZpuKF4iOqJhbR4fSYvPr59Pj1k+kTm61ms7UKSyyvpa2arzD3dCZPq0p6MIdvYxTvVcTVx+M9ON9XcaTDOOmQtiqitfOh3Vo5sXmlRAXkbu/tr5zgvdY8gcwFCd5rba+Y4DRmrKpXstM5Pjm5WBnBXJSwiVdXUChKUPZ5alFuadrC7ZKC3N7b33m7swoVOeIjVmW2yMfTjyd4K+XSyMKMc4t/GyhOIpUzZWS/EGYjBOqLyVDrcXq4tXV/f9/gVNCGVIMtmqZ8gF2Yt0Ys5rQOty/hz42HoR4lf5y2fUsAY4z0ecRpgnc1/1WzWV4uLaRBfjV2/whTRKkAexCY4akrvOlZQDc/5kimOu+1FLLuMHFWsWzVbc2PABLeL+xHGWma5Nt1NmrqZnN/t7mSPblk3uyMtFmf72qcNhlju9IVkPqNIKfsOoQea+DKGhfHlS75pNHS8ji3dDWuo7wXlaXPgasOE2yCd6dmYimsyqIy5vfqGFk9qsR75y+ECdy1qd3gwxIzMnYLoYc4yGl9Xsbu1mo30Jh9i2TTo4svxURTbEDp/fnZyaYryTQdQwn/mIqq8rdPPTI3TlNyQmquIS0k6dsMxTqWR0yxXFVR3Jh9A9QKL4ipDicLyOGChm1gluLb/Lfi1CzP+F0xa+aZTO83dhoH+81mo/Vmt7W3Gu75aFwlHmIbo9CWX5vTA4CH5OIE32rSFsRSQep1AIqGx0hAFzF/mepo2udiwNRYcaGxfgqgj+6MouxrpohiKEzb1tB1lIxkzOrAZ65vFRWpry9OsY+1jKJMKRbXLOYYtifFGh1raSrqQ5hAPWJBFKu3lDVLqS4YxH2uGJuA5tnqJXKwhWAldWO3GT24td1s7W41W1sQz+NiULdpyXUUTt3CHzSMrTyjV0O0/7a5E+2yg+3tlvkhjujewf4OpfHOfhz3V7N3XJphF16hCk0s//4sozk7F+3T86vGyW8nq+HeFtpWzbKdZhnWN/ypAUCENloMP38aM0SFIh2EBVmBbJ5/pT7jBsgMYvQEeJaFyHxQtYN2EUZnzaBQxLZhfp0BSN3a33m7CnsBLZPuSzdHr9CAAoPUWFHpZJRwcbuS6+YK4xCw+OCMv8JdHnMF3QMs/WU0JvPYCnjKKousXzn48dNj8uoLBNUVSVmUKa4nIS7Aq85UxB2dq+ri7g97zYMGtVdZ/A51eOW37hYGIpjXJuO+6rTPXzfQoYZAjwdkmgWZQTM9lCBCgDUOKqJh+/QynV+YOWTkvAkVS2vk+LxDQo4JeWUbrMURVXFqr/IKgGF5pnC+HD81bEfyRiRXtiw8TTOmGshClYerWxcLEQvnzKujc9iIhggATAmk6+VeEoRtCw8RdEDXI+00zRQVESMdbA59NHebz7nlA83uKpcNdtd7dfQaDMh0mvUvnRXzFUBTsbjK5T8OJ7Krf7zI6h/960unRj79y+2CUxHVyKcv/4LGKTlWXo0cnf/riZ3i38Wqdgy0q8whfaraMm4ap9vOXpcsUrOpjFb6hbP7FTMZ4rFWzGg4VUpefVpCcZyKqEI50KSbCV6VwT5LHDQhZkYjlS8LiGXqzVmxaFJNoby6C35EdRC1/tw38xnTx83nT/2rGumAjXdRekeOaML7Ugm+CqAG4F5I3YUAwRzsPnZxccVH4NFjZGAaN4enREhwbyDcIFIeQ+MpAJ0pLfJ2c7tZb76pt/ZJc+ewtXe4c/D/NZuHzbkbtc7DcI/15Vyx24U57nOV6nm4bR3Um2+B29bhbvNwe2+13GJPpO4tm1QOQ9kuIU86nKmwgdMtK7/Yl52VHWoBv1Gm7qp6iY0PA+MHObKMsCQxD0T2TznHAcwloG74Q52nAWCnu3wtyUfwVI/3tlsVCIk9jKVgzy0pnsImwCH8sscMLmumFt1juM3B8P7e3s4btyAiZg9TjUFk1MXg4nTDkNUJZsmoDTQl5H/5EFWwF9IxjTCWw3XZe9pu7r5dFTspU5wm3bkR+5doYINTOSx+OFL9azH7dIdmT6AgU81ENMkBfl1zdcyIhB0zHlKRQbvmGuFhPQWGqV06rgQnNzGGl/FUPSaNHzoaUsDRUGXB7+29f/fu4OjN8cm7982Dt82D49b20VF7ZZrJo59VrohPi32pCqigHoIt0Ei/MrwcGDEjszTshYcmSV9mApCbf5bkjIoBOQLAUFspMGmQDmM+nD/gepj1IJI/kAkVg62B3Oolsrc1kK1Ga3crVdEWIo5uGcHAvxoD+R9nOztv6mc7ezvltkeQglZf4TFhgy5/Tzgh9fEER8Y0w1iJ0RgkskcTb/MKtoorvin+/45wQXXRAsfXSwgXlBB5baDPvJyPxgs6V//KbfwaOftXhwryXlER8TSSQTyhZrzDBkQPvtlueTGhgoJQVs3l3x0reEwpFBa+SqZfQGBgSgYrY/Mf6uTbPItqLcEAAsVMak2z0jbeWZYplepuytg87+aj7juWRE3DJXOhjQs3wGY8tloLHHnswscALHmoi92CjVfjyZvmdhPiGa1Wvbl31XpzuL13uPum0WwujaQ8YLIRcT2pCpz8yOnfcuKAFFoxuiRCHtAvhebGc+xGpbTglTBxdS/rFgYzKuWt+9k309mMni9pbRZZrGidzgvg8XayMitS6SFpgwO1pFJBrsCe6/JUVrV0R9ZkPO18grUrm0srWR3ko6p3yPIwc3cdUUGXhds1PACaa8lSKdE/YLIbYscVTyspBlxnMerDhGr4pazL/i/ZSKTYOCT1NzuN/dbu251mjWwkVG8ckt29xl5z76D1lvy/Fai2Kot7v6RM1R3UwlTqJSVOnjUHEI19PWWfDBQVWUJV2P5CD9mERNT40z2ZhSWzRy5CYcYIkpW4wrrXiAnNVIpN9fuJlMoGT2o+/hG7rmZ+UCQvycFZ0Jeokciby8Uy8LyQFaNzXEAjxREUMA+YdNyW04N6MtVS1OMlb6DMYo5lqmlSlabYvIDhUcNPl2fDAjoeC5D/0C0vzyC3mdUeEHlEJx4K9VbIewHd0ohhBSaSivx+ehF6s4TYZAnbN+uexyyZYJmxc4Ch+zX8WBb4wW5zd8mwvxG2YgNj6VWomi9hhqc0c/3zkrjOASMV6WbLxEzV/DljPbaCfW8My7+kqMSyce2kzfju/M9Vl2u8fNo+bwfPzeTWWgVbbTUAy4huvcuYkGm3zVWAFbWQFPg8JZP+oWe3LszTl4p9C4ns+5fyib6FrcZ2Y6exZA5kQr+pOwIQHC/OGxlRdcvFoKGTqmpkN64U7fd5RM4My+RCSS0jmUCk1FjzloK0QS5dKBsvXfOuqGG7VPIT+fXD6dUJdj79+fLk5Bx/bH98d3KJP16eHJfaof465HrJ2yZXxtel80RYVrVl3Kxh5zAvD3/2ffudYzbyHGJ47Jrt61oCUE98j+gFtMTu7pIRC5uXXlXY5apoX+bsb6YuJb68nIn6q5upZEizJTW8YtDPsbJA2qUbn3y5PCMJF7dQOihDvJxZzfCe3MzuqsqWqQc5RVv+S1vNZrO1vbPk6WCMmNSYewDKH5aFr9yt+eRArmEWaH6qmUAzuEdTtr9LmIhkbPR0bgm/l8rD5ThiicQqCCnS3JToMA1W88kDqJxLNvicMTWxn9WK/a8iCe+ZFLFv32MRiIyCgovhm2TcNZ/d5IkBcmwXtJdpt3WDxqIYyFEskndMOZRaaGCWo+v5tlBGpV2e/Nx9d3revvxP5NwfCDOAaT6/y9pHzfYvn99dtdvtNvyO//xrlTsAQRK/1nzUZVzPXOcjVxJu9L1ZZfNC4LgOutnL7MLLAw0mxDac9U1YHrtUnmTYHSkXgyR3cuzzfq9gYvorI+vO7zWQ+clvF+3z427n99cWMCpfoJwGrvNiNoAUg3HtlLYFSYohdJgQ9rEZ/eOXs6tTmAvGdsNBdyc/4h1VHED5EyYGeojD2gwC4DXf2GbM418/XR7jvj75ufvZ/FYgPdiEwR7zHmbMIj4qAQ2QV6wxIDcbrY2bGUhom39sHB1eK02vFYu7Wo+ve1xcjyZ0PG6wB7Z0P+LivitXqKymhaWmIqYqLm4HxMm0usZjb00LAHfMipgc8ulUr5Xw1+71FLvDeAKcsa7+2sxXOlY+/Pvs44r4uWWTCtj5wO9YXbEEi0ygFEr2Aaa0nHLx6f3Vr+3Lk+u8Vs4dE+dX10eZUkxoe+NzfTqiA4alSifQnNvs/k8waXp9z4Uh1GzqFQmnXGq2Eum8zwHOcpACbE4OKXzCHh+zlv16aXl5FTNDbtfHrJcNBssipnkBhmxUdRmByVvWCiltr9UwlEZUCKa6qaZzAf8+5kVAoN4Q3v5l6+T40jaSddi9GTT872dJMiEx09jGfkQTHnGZpWG9HbRD/nJ5VvYhluTTuvnL8HiOHpBZHT6CTqmhiQwAM7KXMnXHYqOy4yyy6E7gU0GP0llZK9tLhiwrLJ3cuLJNRQoOoT+j0Qw9mhipfALOwWDggnSuTn8j241mI4wYlMMKhxgmoJmWQo5kltbRn7AfK837NNL4m4e3KYUhYjmiXNSNjPBRKK+r0zhW+LvZX/gTH9/tBn/g47t9++vUmCMaBc+NMs0e8EfjC9ufsMUy/uKaJeNvmUquBQmH/AnqNes0guA1PnWP2q3ulEr9lk3wLw97zYN6kPhUCqJ4PpbbOplKGii9qlyqYxjdabRMJbnVuAHFKL7McSMwuk8FSeWIkYimEJYwjuuITgi4yhYv9fTCnCdbUmF4ArdHMskxkSgpsEYcSI7AFxcbLQJ6aR4DRUiGgXR2/A0OcYNXGiGFyJAhzFaCGjoTrpmiCTm9uNv3YzIRJdKmuN/8cYMYov91Q16dnly9J5fvj/yg2292tl8jTeGDecatcwPctYqHDrbAcY7cPCwFZJcs56Lkl99DlUM4+87jubR9RbOfPMej9d2qlHGDgs7IsAHnwX++Ko/uGnymTBPeJ1wjxm9aM5tZSE3YHVMTMwUiCU99f2pwN+2YKS5jMspS7FLcc2hfLEaXi7mctdwkgId7jGyMxWAjT/oG4OiG+eyfAWRtdl5fUQCNr2rjXSDgc6DALBYMvG7/cROoMy3HG1OLfPMfN1i7pcmYqhzt0BK9bM8BEECWJHMwPxUPWT04xGkf4Y2/XJ5hJwZElaFCG106kZkyJ2CudSfBxgH47jxCwAW5cazdAFIZwOzoQq9dxSIpUq0ysCUhPTBsCwGwPTkbGMd/NIpZ1IeHu7s7Wwia87///Jf9HH//Dy3Hy6+ZU08vYd02vwh/seHVJmzzlKQM7kNyeXo5zlAvXBDB9L1Ut2QkBddScTFAreWtYneO95hRj3a7WOhNmoYbgILHQBI5sPkd5qtGA/c1EwhuHpqheE1B9bDwAob7ZcTsVvRf88PS1PV0dYTWAP0mYZh4KqQua6+Fto4Z7ZE/L7+rxjRNAwW3ctRrO7xTYvZoXTK/GAmfC/fmqZDuhQ3EBIQFmtmKfGMVtD77su3rzX3MGfMo8bu75WKepe/TDCd/ZqyyqhWw12AC+wL6PCxgEv9io9KzGPfvsFm9qReldMb+bzhj0agLmxKEszTM+USL5rqQ5rugXVQefsBS64D2hrX1FdbRwXy9TPunasFkyCyahX5EbEMhCBuNdU4PkI5P3thvT6HRxbwPF3cakqt6TN+zoAu1mVTfS3SRVmFIoBfKFIu71bqEVxD8HQwZ6HA3KZw5OHENhDQeM69r0qyHf5q6divYxsFY+DCEmjf6UobXkxsA6BV+MH1koI1tFyNmmqkR5DmOFYt4ypKJayyS8FSThN8W6nTTrN/nD35EeOaVOSwOt7bwEXyiIdXgdYNcqYm7jR2PlXzgIyz25im0sOKjcTIhmt4WM1Ss+W3WP6E9lqR4e2PsTDiA71mSAPdXZ8dprgcj2chuZ+CYrQwRwuyjNBqy6jJPOzD646oejuVp/wdv+G8OZxrjSO8jB/wKxOG2bpWvk5/ENajBRFwMuP6Z0QTtO/sMuH7WyQwSY5PEiQQLbNhDxMZoJQ2lbS+JHdSmXjerLxoQt6EgXF5o/DJNARTtcJwLlSf83fZn9tnC4CoZIxFmjqgQMjdwC+9mLZBAHo6ZZqjHEnk/W1XM1itF3RPKFmNXNNWN0cSOgC8Xaheaam9s+FiRHaXgcwOvqS3X8trPbeY0622bDdQqKLBaQRHk5OHhY70qB0+Wj7GBkTFzbmlFeZIHH2YoBJouWflotr6W4y4w+A0OFNbv25QkY2bjFrJyecWuzo5f1zBo5hOR8xXJnURQzDXXTQhUbKgpgtdnRmhmet48Bpc/adYPdsj3fe7AmfPYkZOvxHyHD3y+/GZzYPEVbbIvdvjVej9rtMSXhpa4BkqcUzQ/BEbiGh6xAnjEHx0ZcQ2KuMZD/KpU/lEoCf8kFMR/DADiPwj7cA17+Dz5rBEPyzL5fsEO1ziHLwPncA1x+DIgDv/B6IY/ILDhGtOwyj3yYvz7FcIZ/tOQDH98EMN/Ln7hjwFdCGmMLG5QLUc8qtoewts/nCsofEETE1IdLT0eS4qJO66kGIUZp0zEUKoNCYQ2LxJyKEsi6dG47u+QFwpBOfnAw99GPHjZbI+zkqxmSSmQjJfWM6QESJzQ3z8d0u29/WXkVFlftikhdXlcgpQwfmhmeTeU+abes7nuH+xQxvbqb/dpq75L91v1XpPt15tRHO20duJmq7dQ11YvCeMnfythmLmWlQdPWI9RXX/baDaa9e3mdqvR3Gts79SbzWaztVCcw8miwjq6KVFoW1UHM+PLElEMhPhMaw0FPkhnkBvvC+YH/A6Ss60YpwXl/9DFHHCVzd/SsK/oiJlXsSJphDWutjjST5n34s0UNtelmhkf9C/E6YkSmqa8X6xF0TTSPEIcHxYNMczgL+ot0BPO1DBWop3KjsWjIpSPzcDwvVB7rmYVsB6gPjGtEWbOA8SF0ISLAUs1lIXCga6YVtKB5ISFM3QwQPZgkcuRhY+nV5cnpH119b+O/l1Yk4GS2bhBE06rSg/YuDKa3EzwiqXeU4F5IUBAofBJ9glUv0PNmVYZnPmutDUseIRdTbGncXSLYqSFi25bWODbVpq/Getv0rgWvw6hRknqcEjF/sw49E+eyAyWKUsZoQWhQQtaJNrz0iiVT27+QTY+0gGLqNLkZ3h6f4PMjxeBq1HZMQJLkZ8dz1oDEHwoteXXIBd8OO5ca8DjsvB/bjZ9nHZOSVfoqW9Mgz99xzseMtNK8n5/ej63tYTirhqRCmSuCrBUzxB+YXOHu35x4edDztj088m+wE55EVzck2pNo9vGiGvFjLO9Bd9Ot+Cl2Jp3mXIHj6aNud26x+4ebFzeBuRpAiCYeEyBde+r8+3ph8UL+cdeePhnjxTX7py/Nv78nxlLgq7EKWE0GnpzX+K6YHdyVjb5Wnut/YOFBBNGFlasQlZfh/cpIHY2yujPUg4SRs7O5kaGzaURSdE3C1DdK52buNddPWTXXUQAqQuWaQXYwo6C6y72h7/uwi0CPh680+dSsK0zeb/1kcU8G2194IPhdTeNaMKIw5zmgrTHYyZi/kDaTnlY0IlWbk0W4Cd+QYLc/WFAEYHBU1+aGMdYUhhlqZYj9HXTxrU4eRgDdEk4agEfk5CfADK6g3Ow2H0kLDDEmbzHH5A3/NkwWFIY+MDzVzpYlYqW+rhQy+V8GQrYjw73JL/Rs2b3NHunF+ShAf9XxE2JWcLvmHJeYFsMEqbIyb/njgDmkoC00YZNG63esXsUYreQvlrEz/T7SPafws8cD3k6/D8L5ClNNTLBolo2j9n6WNLK5hm1jk4OJWAW0A09szTYHKc0SeBp60CRW8bGeFjj7oFyXzPu/LVs09xprXgvqxAfsg1AebKPbOfzBUy3/Yc2zJujmfcmZJxQ3Zdq1CAfmGKbm2bXCCnq7GFIsxQysRMbNka9Eri51r5hVgehPeMqnA8JVRECbUVyNIZE6biWY+bUCBNwm8ri/PKcAXAWq5Ehj2MmakQxGuO/zVFVs+d5DSCoZlRIbf6x4Z7dqJENfPoZqHtT6xfJmHX91XMj5sanrvwaHMsRaQqBJ1rKQTL0YEIGov08XrQR3C3mF+gpom5YLBCewl9YnBcAAZKUH9LqzNTYq/CkgjR6W/fhC0IJyia4nS+tzfOCpE+vRKGe9TGws56UCaNilojf4Z8Auh8hQgjvGwPfpxnw1ME3lJP7tcrYiraU+YmLQbcyx30THXefWDHvLuKpf9R+GzcCHY8TVxY3oiLr0wgRVsC7cZhTFmytEYzJQqCMhN1Z7IP22Oy5nz51AM9lVi3OqGHmZI2HcdQYK/kwWZHkNdVZdXr5aSDjqft2IGX2CvQzrGFK5GAAScSQgDJQdDzkEWFKSZXmIdhwVEjNDNuaSEWMv6rdfOSM0TtGMpGDn3IP8wdfzb9SzhLww5qzNhPRkBknt7yAJ5eXny67X86vLr90rk6Ou5efPl2taAXx+rSqZhIdmwUhCs2YYqcGS9axg4gkR1KNpQojuEsyqhkdVawhzBSrVBMwnlRWD2Dtr1cOYyWNRd7ItYIf9Jna4eTzh99+f/vxbfuXFUnanH2ajuZpePCYPXpcBvAvbB08X8xb47KJYwS8hnN4JkZ/q940/7tqbR+2moc7z8Dn/wq75t2ey/h+4izd7GipnOsV6JdZmUXRsFjZ/ItRNFQ73+oxXYPfc84wAOHA5zFW4xVQygs1x1DpV4B3NvaMlImFAaX2OoSA+kJLB5Vj2bRc4akP+nVJqc82YaAomA+4pknRmDEeLNS70wHlIsCfM9/ocWHcAQvqHKzPzBOCFpbmK+p/ObEZ73U55xDweGEcc/6CNzevPwgYYLgVC99fmBvz7RU7urnHZ7TtiGmKfciGVAwecX3xbx7CH4aJHPy8cQ2zMfQguRmZqTySv3nnWEpugIscztFitBMa/zfoEtdgDRwGvH1MIcXIDgcZ0SKn26MqGAktKtmY3fHK4ojHMLhFFEM1Z3uwhKSXvJ352wBOM+M85Kr4ceMjyFm+CXhKbJy9QU59mrpF5UDNosIIETbhrFl/Mu+6VpLF1lCO2BZN8jV6tkzMxF2ccFmxzHy1jqHUw7YVfUIuRQQ3OF6cvZLb2cI135jChULPPE//9xn+eIwZHRRKG2oByhp1gVg7yJAl/QaEZDQDl62i7fWRRkMuGAmncm/Kydn72W/Lw9v9+v7ceNozGOtNIIOyuoY87ybGUbMtLAw/j/JyxrVOGDkRMaeLOgCGpWicdStMADq6+OIj5U+uzanQbO6+wLP4sIdnNzjXFjn+Th40VL/EqHDGMk15L2E5upqZcTP1h2CDnCIxNuSV+xiIrNjLeAJZfsae5InVepE5nCyWcZ/aa9sRTcBxAVZkXn6ziDjYw1iquYDt+wnVmgn/6cxcXhyOxYQlDHLWMMYLZjH2jVmc1CGjMVMN2uNdm7Bb0V4MMnXdVmwHcaZ3aJ7CfWyfRoy8ar87fb0CziDdqiKePsAUmNH12Du2BOlmh1dlIEDXIMDND+i28y5PORNaTcKuxStDrbQizyeoQO4SY07Vvg+bG82H1gbE/TwAruPhGciKT3CRdmmPV0T9119dty5nXGQP5FNnBetS4Ulpt9VTh+UShH9zzbr8i4w42is7wnC4ao6wFC+w56FVsCAWNhXNdw3OLGgUXMwJgroAIcZoNCR2svImKXgBt2zimtDkLe4KSOEps0MjbLnLMOlNSJr16pj74YcE+EPBqB6Sm5Djxk83S2kKP0405NuLaepCGljR+BzyevpnZoPBPdf3L+YphgUCKVo6VrEJ4OiR43kc62dx0xlSIaQgdngS0STKElSA3jpdJR/9hM7VNmgRjWF2bcduZHhDYbKVkF1hzmyJ6jBfbSmiXVf+ruz3U1ZV6WGJfpxttRw8HxDC7f2wx+nTdLvJADpiJeRXeLKXqDdDrYToO650RpPu/Llez7J0S4Tb+VxO10p5WHzbLMDA8tsG+ph8qwMfJvu7D3zkePkD347zDJtp0ZfOCtLJz2+5VZBfsb6YIn1pjQGQCF1EJOHVI63CdMRPF0A+8TTgbxmWNEv6Q5rO00BjEVbc8CSdjHoSOlsN4ZVc2imrumXY+0L3rfm6fv0QzbKmBN2X6rZKqJPNttkPt3DVmOdhwcUoTVMZ8bzRMw1ufP3W94L6JDBEUSOUKGZv/dzQPkUGromnJyqN7ge1s5C2vcFN7ukkxf5s2mwCuy4wjetMbPusA9g7Xhbl8/mBzTewYgDSI4t8nF+979ju13ADSxM5kFlqOxe2LfAyw+BfRytGR+RV+7jz2qVYMLfMflQgKsVHsT7KXZdBM6SIJgmLyf88bl+1G+R3KVgjAHjiaQ7FnKVBOXFv4lvXa2nTsV23aRLLe5FIWmiq4st0SFuQ9nEHLmknY2OEBnve3dVKNTokN0eH12Oqh9daXhuawVnw789hKkes6zfpDUrgZupTP7K9Ew7AGOwr5ZImyE3+rQa5KU94M92QPPimeV9CKkpfmn44fwDyq/LdkTdCxgfNzzc1vMAPrx1h4wGB5Yb6wSLO3+Z36u0fVJbJdqH4iKqJLX87PSavfj49fv3kNf1mq9lsLWo1wTzfhJcwB3EmH8tcrgOExSjeq4iTj8d7cEYveiw7hI1WRfR1PrRbKyEwz26vgMTtvf2VELnXmieYtyCRe63tFRCZxoxV9Vp1OscnJxdLEclFjgm38uItM3beD9CZhniu5tafLXotKbPtvf2dtzuLqrMRH7EqMw4+nn48wVsUl1oUZgxjzCBUckQqZ17IfiEERRDtsdDxkFNBoXyZpikfAJZPujViMad1uEUIf248DPUo+eO0fd4ODIQ+jzhN8M7hv2wLSJ9m0CC/Gvt7hCmBVICNBswYcwpvvHq28YofcyRT7dFhC6zbpmqL7sFRdVvwo9mB4SpwQWSkoXOx3ZY0DGTnu6+5v9tceO8tmRs5IzXS5zQaJ8n2E11U3hU6K+dTR7u1xTzoUO4uOoxYzPG1SXylZXCu3+LumbwXlaVRgQsME2yCB6Vm1pUvY83M2brzb6uqf+/s8DABtza16t7Fn5GJWXDj4yBv8XmZmFvLb5Qx+xYJhUcXX4rJhJqqAdPeN56dULhwNuEYypnHVFSVf4v+KuAPwDQl476WAz1R7bLT6pi6PsXmKouOxuwbVOp75oNPF+T9guYpRAvwav5bcRqPZ/aumIXxTEb3GzuNg/1ms9F6s9uaG1uvzDEfjSsMy262MRLr0PQwRwQaZ5OLE3xLSVsQSwWp16HlIjxGArqI+ctU39k+FwOmxooLjbUqANlyZ5QddL4HFPAxt1fuUhGJQG0yZnXgM9eZiorU12OmZEjvGJFRlCnA1cHGF/fYrxDqJKzFp6gP7wH1WAtfrJRR1jykumCY9rlibAJaZauXyMEWgjLUjS1l9NrWdrO1u9VsbUGsi4tB3aab1lE4dVsK3jA2azkm04z23zZ3ol12sL3dMj/EEd072N+hNN7Zj+P+4vvFpZ514VWp0ATy78kymrBz0T49v2qc/HayOMe2MLFqNu00y7C74TU/AD7ZiCn8/GnMEM2GdBD+YEF5LNk+Am87oIEEF+i9FSLSQeUE2i0YlTSDQpHQhvl1RnPG1v7O20XPdrQcui/dRLxCAweMRGPlpJNRwsXtwtejFfr0sMjg2L7CHRxzBXiTluYycox5bEE+ssoix1dDOGwUBI2/QNBY5bhsQV30q85URBmdmdXGldc9OIn4u3pwzlqKf3rzzSdl8p113XyCl5fQiuM7a7f5hDRfTB+OhfpsPsHY391/o/IGm3Py/gJ6cXyTzppPiOMHbdwxi+MfrpfmY0z+OE00Z3H4o3XP/AqP/9y2mV8RzD+rX+ZXhPE9NMqcxcK6Q+Y37JA5cwHWrTG/XWvMmQvwg/fEfJrn76sZ5lO8vATX+/vpgvmUJF+M271Q+8unOPu7/e6V9r2cl9EX4GQ/t+HlU6z9gxzm77LFZciISnU3ZWyed+1RVxhLV6bhULnQxk0aYKMLW1UDTrFvjZbywVCHVgtWrnjypjnchHhAq1Vv7l213hxu7x3uvmk0mwshpQ6YbERcT6oCFj5yerN8iS2FVowugLYFNEuhufHIulEpPXQlhF/dy7qFyItKecp+9s10NnPnC1h6RbYqWo/zAsCznaxMvlR6SNrgpCygGJATsKW6PJVVLdGRNddOO59gjcpmy8KrgLRX9U5YumfunCMq6CJwmoZuQG4sWQwlmgdMdkNMquJpIsWA6yxGPZZQDb+UddD/JRuJFBuHpP5mp7Hf2n2706yRjYTqjUOyu9fYa+4dtN6S/7egSqqyYPJLylTdlZ1PpeZhs1xbeahtqeodS8zfBoqKLKEqhJnXQzYhETX+aE9mYRnikfPqdbHBHVdYSxgxYVz3Gl6uJ1IqG3Co+ZhB7Dr9+EFdx2MPPIH2eo1E3jwtltPmxYEYueICGoeNoCh0wKTjtpx60pOplqIeL3CTYhZwLFNNk6re/M0LGB4183SZKyya46sAvw2dovKMYZtV60FOR3Ti4RBvhbwX0EGIGFZgIqnI76cXoWdIiL2stz1m7nnMkgmWazpnUkv3Y1nIB7vN3QVC3EbAig2MxVWher2EGZ7SrvXPC+CzBsRXpF8t4TPV6+eM9diCe9oYdX9JUYm1MUQAaWLGd+dzrorSLBqazXjaPm8Hz83k0J7aW201AGuFbr3LmJBpt81VgGszN+d8nvI0/9Cz23Pl6TDF3lxE9v1L9kRvrlZju7HTWCBHLqHf1OQHCIIXYfGPqLrlYtDQSVV1hxtXivb7PCJnhk1yoaSWkUwgQmisZ0tB2rgWly5uizeDeSu/sMcf+Yn8+uH06gTb9f18eXJyjj+2P747ucQfL0+OSz384EsLCMjWT3XpPKGIVe0NN2vYQsfLwB9U32aLmF06B+uP3RF9/bUHeAffqHSB1353dwE33yYcVxWfmO5k7CfeTF2uc3nZEvVXN1PJkGYLqOaqGwVfFnoEJ1zcQs2WDAFAZnV8enKjunsWW9cbJKls+S9tNZvN1vbOAmrdWBapsbUAFTuso125H/HJodXCLNClTzOBNmiPpmx/lzARydgo29wMfS+Vx/xwxBKJaexSpPlZ32EaTNaTB1Ahl2zwOWNqYj+rFRvBRBLeISli3+vCwqgYhQO3lzfJuGs+u8lvqeXYLmIv026LBt3wMPqhWCTvmHKwldC9J4f28r1SjIq6PPm5++70vH35n8i5V+oz0DU+v8vaR832L5/fXbXb7Tb8jv/8a9lVRyS2r3XMcym2M9f2yNXTGp1tVtZsfBzX4bR6OV14GaBFg2Bqs74JS2KXx5MMOyLlYpDkXoV93u8PzER+ZeTb+b0Gcj757aJ9ftzt/P7aIt3ki5LTwHVeaQT4RzCundLi+6cYO4YJYe+a0T9+Obs6hblgbDcctD/xI95RxQE5O2FioIc4rL3aBl7zzWzGPP710+Ux7uWTn7ufzW8F0oONF+wr79LFLOKjUmU2ecUaA3Kz0dq4mQHbtPnHxtHhtdL0WrG4q/X4usfF9WhCx+MGe2ALNcss7rVyucFq+rFpKmKq4uIWQDA+q1M8UNA007hLlmBsyKfziFbCU7vXU+wOHXU4J11Rq5mvdEx8+PfZxyV4uGWTClj4wO9YHTriG1MFalZkHzAPy3f+n95f/dq+PLnOi5ec2j+/uj7KlGJC2yuN69MRHTCsLzmBrrBmZ3+CSdPrey4MoWbDLiGQch3QSiTyPkdayqu6sRMu5IEJewTMWt7rpWXkVcYMWV0fs142GCwC3eSFFpJeVRQeM4Os9VDaRoszkUZUCKa6qaZzIYQ+Zs1DtNoQ2/5l6+T40nY5dCCfGXSO7mdJMiEx09gbeUQTHnGZpWEBFPTk/HJ5VrblF+DN+s/L8HWO3odZBT6Cln6h2Vpsi27bqiNiAfgz0ExvVqrE9gLxvApr1jauLJJ/wQHzZyiahkcTI4lPwC0c6Fy4bv7NRuiLl91123WfZloKOZJZWke73n6sNO/TSONvHsej5N7HckS5qBu54KNQ71Sncazwd7OP8Cc+vtsN/sDHd/v216kxRzQKnhtlmj3gj8b3tD9hn0/8xXXsxN8ylVwLEg75ExTN1WkE0Vx86h61Vd0pjPotm+BfHvaaB/Ugw6YUnPB8PH+7ZCppoMSqcm2OYXSnoTKV5JbcBlQW+FqzjcAQPhUklSNGIpqC62+cxhGdEHBTLfji6YU5E7akwhAAbolkkgO+UFJgjThkENtuHTuIARRiHjjEGvaBdLb1DQ5xg3H9kEJkyBBmy/EMnQnXTNGEnF7c7fsxmYgSaXOdb/64QUDC/7ohr05Prt6Ty/dHftDtNzvbr5Gm8ME8PdOZ5u5uwWOPWpQrR24e7gGyS9ZsUfL/P3vv3tRGrgWI/z+fQuVU/QL3ZxrbYB7Zmp0imNxhL3lsIDN3d/YWyN2yraEtdVpqiPPXfo39evtJtnT0aPXD0AYMhiQ1NYXtbum8dHSOdB53k5ul133Nm187Crv0UTd5XtDStXxJlTviteoEoWtSNPasOrrtVieIRHSEqNRFQkVbCTDjEpErks7UFLoUaen90uB22oSklEdomgndQnNoyxeRSLs+xAZH5ds6PDwkqJWwcSuPCoZqs4H67uVWv1XSNkoxVI5elrB90lViPUVlimTAsnp14aktyZNWibEXry50Io5ECU7zcmwG6LsUGAekszhugHDp/OHhM+uPR7oO6pfPJ7rUui6xYbpNz3gGna9zjTrzBATq/OYeOWXowqJ2AaWXoOaILDSITEnImZBpBjYgxKH5dd+hhkmOhj77nns6WNR1b7a3tzZ1BZHfvv5qvtefX0me3I1PVvWsAq9ef2HuAsCpRBBngQSBe4Ocho52NaqDMsSIvObpJZpyRiVPKRtrjeSsWbsvD4lSfUZETA1ALHymY7DuUczHJlBBvaq060gSpisf+6akPtrHclLunO5kZEqM+LnX3LBY2GaFFtC27n5NdFQj47Kqme4kLmq0OT/fTZISLISnvB68PK4Z3ioos1XeIUhVA9uoIMhNx6OfzMGHB4ynaQ1pW3eFb+HLp9s7cKh9Yi7A29vVjI073S8p6L9mZGlpCmBbwQRmQbkAIUBM/2JOcuuQdWtScakk+JW98TfYG7UB5lcg92cJ1B6Di+Y04+pd0BZp7vrrfFcP9sDY4rphO4b5hpl0T7W9yTSy2oRzI+qa8wyRaSJzeAB0/eSFebtUXiuiI7jUkhABNCTymnjtUqEx/zXXLsxdDQDtDZKUROfLddPO4PB0PCGgh+2ksG/oidtAmCQhTneIbKh/Kl1JFWxXbyz9MBzVtkac+9d1Lahc5H9RVvvaBjYMiIgk6RSC7pKUhFSQeGY7B8RUSBTTy0JCpchGI/rNjQjPrCmF/2ZzUz+inwh4Ol4P0Fk6s7eTSZLyb3Sqs2+pgN4ydJrEMyTxZTHswpjHiucxHpJY6FsOZRPCJnpN4hiwPzsZiFzHhTzILmsKNt0r5V7JjggnZHmhj6cw+nzVDdtp2SfRN9sXb2qNZQ3vnI35jiSwIrrMZeMmsZ0mdPSnPsj8muFY22LmGXDBjLPnRWPGsSWDzrQg30KSaItmwk1fNt3CqLSsjF4I4MwEA0FpoYNDGQLI3qB6Lq0Y4XfTeNSFqIL7ogw6mDnEjPHcGC2swbZHgfwopIzQkMT8ul4l1OuPoo7xaavPjbCQwXRmRtCLSGsRLKQzGNw5jRml4PsCrsLk6jgtZwVYZMOeEqBuQVG1Cws+B09vLMbrsfWZ8jFa+lRK7UkyxTTODwFqFj4Wd0hpU+IueXIOSD3CZkFGIxNmo8xgLTaGFmvk7GSw3taHVC76NedC7riB0m3bViCgPn2N4C2ZmmOR8rz5mVf+pOIZSMXz3lNgP5m3neScaLaxwPd3EzBbeXpJgvXFDH9/7+RnKbhVKAX3swrcDeR4tgXgftZ+e6Daby+x7NsPWvHtZ7G3Okq8+LT1l17i7UVXd3vhhd1+1nS7nSY/ajm3513J7WcRt6cr4vazftvT1W/7wUq3vZCqbT8Ltj20LKyMr3zPWm0/Qpm2l1mh7ccqzvZ867LZQPwAxxQv6/i/pcxfmGCNCKdh7dSmxb8gwDtI+IJwbZlmgKrN/vDzAyD8Duv+aeGlNjZx4VzbxPC5VjvqNyXcs+B/sT8nEOrLpT9kSr5mFHq1zXgGd16ZIAij98dnn4/QwdnZ/3f4L2iD5ZXAcSh46AaV7IPXf6HWvzcOxoTJFmqeBelYs7TmRMAXGlUYkruocO8IOThQWQcSc9CQTPAV5alPPXfdMuURiYkxLSvE84lfT3F/0BriOxhpVCX0aaff7y1M3iXaGK1ymYJnRWK4Va4Q+SB6R1m0MJWTGEulrJaqY9wkj0tvP1PrDz9T6+DP00qq1MH3zOY9wZ/oYGBqrRx+0n+cUJaZ9KkpDj+e6j8/6Ehj+OAP+XE0oiFBWzt9/dwpxuYN27uP3SoRVgz8ceskwtG3XsmZCe+k5JZdXgPkIy3U2FhMRnzaWHG5/5osCNz8PcfBWMCgygXrl2MpcXgZTKlMCfSutwNsgo7cXJg9S82anJh7e2W6LbhgHQd8Qi60YPVBoV4x73V/VP3hjPO4sHoZariMajmnMKwyTE3SlBlSWULh45gDMFUdEwL0P25EuGClwSjtQrgRWiPfgvlyql8Rm2cHnU6nt4nWqxSDX+oIs8yN3E8it7LamEg+TSoCcn8iVWlUzNkvkemRNW2WxqtELH/4KuGajlKkKwkncA7+OEvTznbv1WkHWoyc9i2xedbt9PdrpA++n0Ohh12jD5IbdoPmvdGcX5gPc6yrpfHhkE+nmEVwGXKqsWBj3Sw6SYm9jq/y6IkURGN63uK/LI2ezd+dQ1iRDR9LV0BgulYY/qz31b/+WPcjb6fTnac6gk6n8c31HOKuoJqZr0kWZNDNrtqSGfSJX5P0dELi5lZrPYeeRsk0JrVP3nmW/ZJJvdj7N7PDMSPW5y+SSlhuJ/q6bpzyLHmDtFVdasOuhN6dykqOsHpL+WFM1wuFPEBh6lAINOJhJhDXp692fIQSW5eWSkHiEexJFEqqwb1DPEP4itNIIMo2IpJAuiGOZ4KKPNRdg/At6Hf2zaj+Jd2IxjZA21TeV0j9UkMUmZo6U/6KthQKaTJZ2un9qc4XNRcHttSGnlKLY5Sl7mtdkssndUVdnpyeHx0Ofj86/3x6cP7n8dnv5wdHp+fd3t754dvDc32V3nShhjElTAbVePsHT7E+er9hS1YKiVm0gWPOileuHBJH8yASDVslFioTGQjPNJPwxwbk0Apd2xZdVFE6DydQrEbAtVAeaOIGhZQcndSq7xCwhMyVakuV4+MgaHwzNg+SJZH4AGpI8lGB1t7kpqLYFF8SlCXlC29HDADxJl7ciQd57R3LBSxNuE8e2qMrskDEox8GqfUKwFVNxvirpZnSaiP7V/OTSAPnBItJMI36S2LMYUFjsbEyxSnExtll/37QRxEdE32VOTj67PhnLhgd9fioyZIpBVrpjC0OJUUUrub8y8/ac8FXdYFWuuyqi62CMSqc6Lzb3Tncfdc77PffvhvsDvaO9t7uvdt+++7tu87h/lHjRgY+T8QEd5+MKae/H3SfPVf2j7b2twb7W92tvb29vUFvb6+3s3PYG+x3+73u9qA76B4eHr3tNY67KnEn32qehD+9/k49hxwNr/K78/tzKB9Vc+ph1s3O3u67nZ2dg05/++hdd/egs3fUe9fr7vSODt5uH7497Ax6O/2j7mB3b7f/9mh3++27rcPdbu/wYL83OHjXOMTb4KiTEJbEtJr4Ki8D0JZtBwjsJzDtajeiQgVFj0uVI488Jekz5xIdHkDq0jEbpVhXS8pSgs4InrbR4PBXly07OPx1gVwOM/nfeGtZ27dWArrIUF7gX88roOB5pGzsiU4Yn6GEpErUlIidnp5s5nY3QhPMIjHBl9XyT9E26Q+7e9HOsN8Pd7u93d7e/lav1w33d4a417xXjiHHQ2R5DLAkm5AJ4dnIUKFNT9Ik6cNfmTX5Ea97nV53o6P+O4O8iDedzmK9Gzx87531sSjC5SSQ25Dt7u92HgJZKBKVLjMe80AZ3iGOY6UsGTr9cGx0qiRxLEwwD2QS6gyZCRcStIrk+htvr7T6AcLHpSRTffSp7w+VM4UkD9CfuvJfIdb8CtMYD5VKcIHmbtwxUZRPqPaDLyKiFJzufGWKStYniy1cRdLSXOvKp9TPFY2ca2JHlls18nSmfwNVPOBhNnUF5R9IE4ss0c1+zrUvvawgE+dWmWnqbYeCE6+/mZA45nUOyxwPvtffOf/n4XvlwW/tbSt/Jn/w6HBw06OOL607+T8/6wI8XV0AnwU/elGAWlo8s4oANTisQnrDMysHUEPFlclvuFMtgBqEnjq3YemFAG7BeQVyHR6lCkANGV5ocoSP6YvL/y8j93KS/33MXlrm/xzcfty0/zkE+bFy/ucQ4Tkk/Pug/8z2f8Rs/wLhf6b6P16qf4HwLzzPvx7X55XkX4fDKrjAzyfDv46CK+P+3im9vw6jp/Z/HzS3/zYEV8DZXTSxvw6lH8BxfZYp/cv0Z+YEMOYejm0zO6ZXhJlrkra+0MRJEtMQD+PqTbQgYdLr76SNPRciJB7GoNgbYDrkPCaY1SH0Vv+ERjEuoGXKv5+dnCJGxlxSfV91jYXXhlMZns6kkilmAhq1mzhZhggDe0h9zhgjcePlxsg3eW5DZh+VlS5Od0jgK4CbRAH6ZOrqax8L0WIbj+ODDwd5++Q1v1MQxQxD2DIWykqdEibFpozFhmuspnDY0OPO/SH4NpHT+BWOE7ZhYdygkVgvhUiZjiy50xDza5JCi5Ha9leb3aCx0KVEZNOlChwVpeBqEDgzL7SFcdgq8fqmDZyylDYWM32fvpoRvwa2RSN+qyg9VcTvPEiWROJlRvz6vLgTD1Yz4tfA+WIifi2bnnPEr8+TlxHx+5RceeiI3xJ3XkjEb0MO5aM+w4hfg+NSI35PF4rtrcT05nuEhrXiyj1KbK+Z/G+8tbQgsvrgXj3xgwX3bu1vb2938XCnv9vfJr1eZ3fYJd3hdn93uLWz3W1ewEnT46GucIXE06QS62oCO1chuNfD90FudRdB+NGDew2yyw00PW0cUlpSyDUKoBJ0tDQF8DMO8uniIH0W/OhxkLW0eGZxkDU4rMIl0DOLg6yh4spcBN0pDrIGoae+B1p6HOQtOK/A1dCjxEHWkOGFXif5mL64OMgyci8nDtLH7KXFQc7B7ceNg5xDkB8rDnIOEZ5DHKQP+s84yEeMgywQ/mcc5OPFQRYI/8LjIOtxfV5xkHU4rIIL/HziIOsouDLu753iIOswemr/90HjIG9DcAWc3UXjIOtQ+gEc12cZB1m8pn9oaD9o0wwlOHVXG/a6OcGpMPFa8D1P6Zgq4dPRaTUXOUGv8eG45cWSwwM/KOrH9DuJdAgdXGG76EDYRHw0b0PRFh6di6ATuwQzWxu5DqcqRnPwKWDz2pjsNDcdbfePBDOwo23DqJDr6v5KTcgUhyT4xUB+oB9Oibmwgvt9nij3HEL19CBYR4JiiN9rI5GFEwgFgJYRREgdGwphBWZctdJoSGDlYhRhiYeK2F8zks4CLRe59I9G+3hvf6873A3DqI9/aUBSjcUj0rRMNvis67EKXUw5iQkiV0DDmF4Sn2QmUG1IlEuJJB8TRSrtOtkrPTMyVm516gg7wSyKtQvmJqFMknTDBFSSyNJalOm6PRzt90Zb/d3d4dZ2hHfwVkj2e/tRh3TI9u7WTpGcFtZHJqqdtrG8+u9QXUNpQscTRSwAWb13zdNLNCVYZKnxKEGInVAaAXYk98XYbhIlYnY6o87OLsadId7v9Ia7HvGyVCssU4D4y+cT+Di/APGXzye2tDDsd5EyUqHaj3b+uJrS7Ic4lcoh//L5ROjrSfOkBV7hP0wJvqRsjCJ+zZR4cCTCCZmSNtJFnNoowXJi3ufIhtPep6awHnhJivr1AEa3YpKlca50WsX6Uy0nGggdMyT4lEBktNJOis5TPNMls038+vEnRYVNRVpF74imJJTxrO3OHXARNe1PB2psOMxQY7d1fLi7XEbXcIwx5moO9dOFqZ2lKedDqBFSgJk7agVnTCVJcYyOP13tuDEJC2NuDhYv/roA3l385wKtHR+dvUOf3x26QXu7W711DZP/YH5GYs9ZICp4qOiTSFgZZr1ZcN2IGuzX5Q2vpvKXS16w8e3LkghoAKDAygmng2uV1rWT15gnZmk71ECWILY3smF3McGRXj3SY9VZdXQqEIQXCCIRVdrJhFi3lVwyLpX6T2dQl30C22Px/dLgdtqEpJRHaJoJCYMMlYZX8JGouEPkuQr64SFBrYSNvfJY6vVWoL7z5vrApYlOvtbF4QxeYO8oOPPdy0Iq0Jp1ZyVOg/H39TZg7sYEsmFluzM/UNAJ1lpr/L3V1vDoEVrrVXlKzKmVFaJRisfTZofTd5KhTzyVxho3agXB1ZVeBK8uPCUjedIq8evi1YW+i5IFA9kCbdBzuGRxEzPWBp+YLx+5+cvxSDfVULsLtB6lU6UVMYOtcMYzqOCe67yZx2shuR/ORRm6yNI4UONdQHYUBJmCztTrlgo4smQ6rIlE2t0Dq9MqIjCf3JCCZ2lYn+JiE3FybfRme3trUxCchpPfvv5qvtefX0meFHhjlcPK8+f1FzblkTKZolyjgdgKJAhhBbo5etWsfMoQ070W0ZQzKrlyaLRC4UMweCK3Ww6J0lxGLICTKcHCZzSGZDEU87Fou/0MuhpIwtDfSjc5h8IEDYMBUlhQvlxMiRE595obFgulZ6+xcIC2CwYS47KqWO4kImq0OT8XpCfBQni658HziszweY8I2MCCEgxysrj0luaRk9Icnv4zhGiVpuXpgjeH+sDjjXGha+HguS6twLG9Xb1Z2N7eKgAFPuUyzQ6YwAir/nVItPWhfzH5eXU4OHlXNC0JVWV/+Q32F22b+Ect/iyB0tm4aEAyrt6FlZjmV2Q6bMKDPTDWZ6rv4mC+YSbdU21vMo2stm7ciJA7gBki00Tm8ADo+skL83aImdIi7n6YQm4CkxRLgoZEXhNSTLWU11wb7aVNVGdfkpRE58v1N848LzKfFFSt9aAUvklC8s7S2VD/5LGxYq15Y+mHwcFrjTj3I4xaiiEt/4uyptRWn6FrRCRJp5SRSO2fIRUkNokdGJL8zPFDfjMtstGIfnMjwjOQz/pmc1M/op8IeDpeD9BZOjOVhXGSpPwbnepYDSqULyLoNIlnSILHWTUIFStjPCSxUNonBnMJ9p1rEseA/dnJQOSKJuRBdtmqqvByAJY7SwPHdllycAqjz1eLsLGUjWsdEXDxptY81PDO2aKKmFmBWqaQu0lAlxtjWG/3M/Q1w7E2NswzTHedB4WU6wEcxxY7fUpPvoUk0Vv2hCsvRr2WschY1pVVHICrju3hhudXlCGA80OTt661E/we6tNJd94jbXc4mDnEjPHc2CqsmLZHgdwDLyM0JLFOVKku4PrVXtQIPm31cQUWMpjOzAha5PWax0K2gvLxgBml4JsBrsLc7zidZOVSZMNeILJht6BW2oXlmYOntbsx5W2sfD5GSx+GqI1BppjGuZNas0yxaHzdKXlyDmg8gjInoxEJIddAWXZaUAz2a+TsZLDe1qchl4xfM0XCnO65/wFKsW1PGUG9+UvbWyQ1jnp53vxwxeuqFvIpyMHz1vmg7+ep+5wTzRQ/fF+Qm0yQdImhBF/M8DUGtw+BPjE1R7z28/wzXpBCOMo3J73WckSUaaNYKQg85JlWnPCo9tWgNR25ws4VNqeK4OU5KTFd7JR8TPAVgZMYAqEdPPWOdJhMKRHGbIRJQK3wFDxDBq/RyGoKexyNGcKQfG+8R70DeIpyahh3r7Z0E8zGRATL1QZ+l2t92svTWU5yMIWnBMLd+GieLYcZOhkcfFKkPdDCPHBD+WqgeVl0gzskGy1RsIvZTM1rIxnw1Kb6wGE8D994VOH5WuQGQFtZDK7rRcV/PIiHJJXoiDIhCWWLkgRk/clkFmZ/aqHVJFhas9/qdaGrwATYm0acYiYkmW4mMZZKoS4s2xqLJW4sPhf1ZIuC6KXoP7iMfXENY02xBugkk+qWpIVNagR3+FpbMoQZZ7Mp/e6d/Wryu49fBBllsVqEF+qlgEYXSgb1B4XghTM6Q85Gms84Lm6MLKqx4zNBosXFtSyoYZ7P8ZBCam8VRE2a7+lGd6O/0etu9Dq97d72fre3u7e70dvZ72339rc72xu9rX53v7+zu7ez0e0sUNraoFiV4rsi+fDq+XTCU+MT8hTFfOxd7NbRCgfkjqo55fHS0pldLSIdnqFmQlibbpLm69zYaCWUXv/VuqRDzPA5jqaUtdqolRJwEtn4XA24QIWfF2ctuStk6yj8kAZhjv2KmoQ5gD+Nwhqi/MBmYZkIz9UwLOOxkqZhDuRP4/A+xmFOxxdsHuZI/tgGYk6HH8JEfAoLwo97WkXjoHnQzQNYDha6l2oUFPFbyf2+COLjb+V2/p+79Nxd2pLouW7ArrL5au2tzTXdPTdeF6XzI+ypEqdjIn/IowmD+oqeSxjoVtXueIJDCUORl2p8LEqBlTRPFkViJc8iDIQ/TZz7HEQYIj5XI6g5hitmJj3yEYQhwgu2lfxgqXM8tpk8XsgUyr9tEDilx7DhUwxy96G275To2HiMhim/9rKl3eo+m5CZyUYRE36N1E7E0DUZ2hRgyF1RQ1E2zgPtTfJ/5kC1Qe73j3WKiJr2sdS4ma3MY/ppwhm5xXdZCkA5SataB49wSgtALZCf9XSmHPOk5bwgLWUM3/PvNI7xZj/ooDXNg/+CDj99MfxAH09Rt3fe1SGc73Govvj3OjpIkpj8SYb/onJzp9MPukG37+Bc+9fvZ+9P2vqdf5Lwkq/bYiOb3V7QQe/5kMZks9s/6m7vGSJv7nS2TWsoR2oRjPCUxstKoPl4ivT4aM1GfqYkmmDZRhEZUszaaJQSMhRRG11TFvFrsV4hoH6yAnezDMvVdL0/6hIbbGzMQ+sOMD8x2bX6SKFUlzaCK9KlBeY9/xtfkTKNLknKyLKctgoOejYHtq4Qgq/nrYvtYDvobHS7vQ0oCErDMvQr6M7dm8O2zIDH33ks/XeZHtaFeCx+2vnM2g0Jk1y0UTbMmMxuWq84vaaV9aoAW5qbIHTw+4WZx1ReAG8BSzLmKf2un+BlJCmT3DFXqWOzZQ1TjiMoC0jSUBn+oMcoEZ4P8dE9Lgga8Tjm12pk008wz5WGTLg1V3No/Q2KKcu+tdEUh0BRRr/lyRqGrtWyER9P0Yxnr1+naofHkJcBKQAm7cgkA8dUyLZJ8/fyPHRpATdkwpNM+VBRgD7FBAuCYiJRJiAjAg1nilBMzYCZLgOqpzo6PG0rqiYpT7ggiHr5gTiKoFdkNaYf0GxqKXMRLLfMVUXOmyqsbifoljfQ5YLq1Q+7xYxSm75nhF/FZsM05vcfJwcfmhje6jlrcuM0z+E0LuQM7XV6Qfcrkni8JtZ18liCw0siXQEjoXM/sECUjaGUCXTV0H/C+FgIHlJTpU8NwWxyN/ju4NwrrN3CxK50sJlMb4m2o6RbKR90jnugsK/DIiUhTyM1HGXj2GAr8RjSzEA7ZFAOAtpYWuZNdAEEBejXDco2viLCQpyITEMp2ubooQ4yVMhbl7OEhl6+m8m2gBIv2CXoC8IET9EaCcYB+p+EXLbRnzQlYoLTy3XIPqdXJJ4h557BQVOKR1BZuUQJyhhJ53JVD4H0Qwa5nMECrdk8EjOq+a2I//ocJG9GT+Nnxl0UyxvQ09ruF6vO45nTv5Q5DaVwZzWyogRddzUilhwSj8egC8yQH4e27Zgn3FZ6A1/KzS5QI3/2cTOkk23/aAlqtbhVYeqK2QOpiIowJXAAVl5hZkyAwBtvHl9GNCXXOI5FG6Ug/KKtT0BwhIY4xiwkqXgA/3dph7CA6PFAOxZKVPJ61Y4rVT3edC9aonv8MTHVOwEDOHpaBAeeSUGjWyqhu90gixlJ8ZC6yrJ2W6j8MH9/UNtDYaAGmW24ZmpUSXOzraXzg6l7pZVpg2+pJSGg5RQfWQNC6f80nFBJdL8uQFBW6IUhDEnk+b5nYDiaoivW2t5w+mBt5N+SDMALVnOdfjk9Wld/6EYKMTzoBs1fsFUXeYremXW+XshUzbtaf81wPBPjDKdRoP+GauBfr8lwQuJkc8TPoTJQvKnsw5hEY6KG3iwgeG5tbSKCiZz+9d9hIAdYkRj5s/9Zr60LY2tc2VzEqln5+q+WxWuBm9wwVpuLTSJfkpRAc4jCRK6gaoEKIuRpbokWmJOf9fjlbKBZCPQeD6+E2KwWxf3jtHEFbw/iFXOzK7T0vqgnJCw5s7MJt9HjGPZMf9q6t+csivCKBFMqU6J7vSuNtjnCX0G441fhFTmHhNtzDzhxHqZEuVV/HUJBeTetr2kp0Tv20beEC6UvDv848jH8T4Wrx0z5UB9Pke5Gg3pBtxfstP1yLkVyGF/w86fDBdp7E+jNsOxlYXWndysF9pG+PKXiBtZUl0Qdi2rWxFFTEizNTlGYW4yNQlg7Hqzb4gKm4UahKEfd1ol0jneAjv20bJQVL/rMBGZQeytdpWt5z2gq+tcTLM+pOFdLgEbrRtbLMp4fDJRl/XjwnxoebegOR51Op3GXG6jsSZZXn/wApUSXVZuvYApWttE2utTqlEo61k6So4VlhpP+qMSXMmHqORKO6caQMvUtnAqHY/qb+uNXR8edbncBMirBO1+q8Btfk6dIhJjVi2ptz6tup7sXLCIUanxG0uCKsIgvq7L7mSkWM29bBxCQBqGC1hlheBg3b2MU8pQEw7wBzk3IjGKOa7fR16dqGF0xIsVsbG5RO0FH2d/dTtAxdV/Un2hI7C3ElAuJBLkiqV9b8K0yLIUZkSsfVdlpQhAhpnBtC1o7iTmVlihTIlMaCrSGpcThJbqCEJ/83FOX9ftG5ayNkpRe0ZiMial6bOI6JEl16ef1NqLTBIcyH9WP0lBjuHHVa+MUhlVDmXgrgMm0fIWC03OMgBqjyxroILobEQ8zhfJ6xT7tB/3FWEzYFU05U6M1uv18JF4f+WDdxnTMZsgVrQQpMRxqo7twCO72aUrU+GIFWCTJNOHpKnHnzEB0G2PgCnGKZaYJrUgaUa+QVruwX1tehQ+3LhpSeLkn6uC+f7CdUwrnH7nDvPbhj8F6vtlD1TEJrasdjYANIJ+YXVI2hoPs1gm/brVR6z2JaDZtaWlu/U7HkxawQDln6KqnmOrUpxsRJEGUjykhgjCfS8JU+VhbQcdUr5rBSWNERpQVy/KqEfKHCzzypAieoALxa0Yibb1ghsf6JOrd8efTs+BjOtbNctAafKGUJ/pyuqG7+zPONpKUj6jnanltatroesKVMqDC1tKWHE1InIDeh3N3QUIQTmXZgp5Q1lfCmdf4TRI8FQiHKRfacL7maRzNEVF2FQWMChmM+RWcVGwYVQTiWlUG+gqlmagalizRunBcr7UwoO6Toh4oCrsJYuj5Bo3WY0ezJKU8pdIwAqVkjFOIMfBUwN0oWDHi1TShm/qWU8lv/c6+fxgJHXIOS63fb7yvokJZAbHeHPRNjfZE1MKyx5NqsXwr9ecXhR6c/rkl1d074hmK+Xhsukegs5NTpJSpvu+J6JjCTmg78+Xt9hxFSJhJZeOhIWU4pcqOOd18f/z+qDgbM1HvQx7BM7CB4ngmoJwyFGq3UHI49790a/ZPW83db3amA2OF7mSh3m5DBW93GwwRgRfqB+iCdBHAMGbECRYTIqy8DY4+bxCmdo1iu32lZlzMumk7oN68gDYvUBy/cAkzJPlls7sd1LdbGhD1ciAmuNffuVh36B1dGaZimQfi+o1zK4fN9oYpv34T7SIolhS6F5Omh1+n0hxHK26bAyx0IWMReH2jLkz7CDMi/BzGlDBpCHr/uxIcwwJW2w1kNCwrXtQ13zIN8rx5TR3MtdODD+uBjuRT8wh0hdOZ2hHC0jIFs8H2BNUGhMcrOPIZQlNPtTwhilNzNG+ioaR/8OEU+RgjtKaGsmWshTHXC4kipNoC9PU/vKrfja0P07P7SVpOuo6Td2vWXtOTf/Fe/A7/p2hDKcqoNe9DaeBehdaTi3FPd550nSWVadVGH7/8Wuo/D70mb+C0Wyt35fjKtJx8r4RCaYU/KLleEImn7jJ5t4V7zMJ74LkCzSYXQ7sk2Qui/kKbUjIuz6ENTQN0ony/LfoLdEoQdPih4aRiFOpWADFnY2JadUdQ0foKxzSqOXPtdTY6uxvdHdTZetPtv9na//87nTfN830UQvqeapkYwdlDE2y6+xudPcCm+2a786bXXwwbr2/8spuAH7hO+TZgSF/wy0pz/TKWC7TZ9vAJs/RqWYsILsDV+BoXE85C4lg9EJqfvM75Xm9zzzNDum28JYs9vKjgr3zUpN9rfEXgEYF8Szhr1nTK62tSwPXIDJF3vCAplB4vMk0HNzRDaKff39p17mlEvpUizXl4ruPLyhHozREX9HsT5s9DGo4o6Hd3AeLxUiQ4VA4aGlJZtc57ne295scsKcXxcnv0miRJPZW9M4Utx4lt/e4GRyaggIQkLPTPs0fmJhtKuAPHkwlmur1uG1HpxYZrL1aakwYOTlKsDAu49kgSHTLuhs67+lUI2++/e/t2/3B3cPT2XWd/r7M/6PYODw+aN+C3xxlLV3THxZTpQrd2C4SvEf4kEDo5nRK4CvKL0Ost2R6/oH9ydILZGB2ms0RyFNNhitNZgE4JcTepYyon2RDim8Y8xmy8Oeabw5gPN8e8G3S3N0UaboYwwKby6eF/wZi/Otna2t042epXexIps7y/s7GAGs67/j+BuymcvzmvOfr9e9s7/J7Cnby7N2nhXgV3sqx67EGNWjxz/cnTs19zG7SNTn4tNPL3/E19lg/e5YNxe2VcyQLSi2Lx1L7kvEVZYNx9kFoBx7GEY2M0XqgTaDvgL9XS8bKJ9Ak4mB4VMdu6CegNNfMbNCRwtY1ZOOGp/rgR2ohHc5/zVj9TAOG/wtiHtvOS2ZPU6+5+wl4twE1oHJvmlnD8rECtPTGHlKgJF9JT1JpOOKaueWWC5cQ+7D1YA6D6NyBJSkK4tdiAm4P8RbimgU+0mB2FmU3PKsCn8AsknZLvNv9+Png6Cr708JSOdVymuToojK4pUhiWw2IxX+kP53VyMwd1xx8Iu4FQgHGWAlP0ZHX4NSC94pD/3I1owaB35emNIyviKnOfiIAyIb1D1FtpBMcS+l1k30U0sssijHkW5SvgUH20cQQpmhKJIyxx/aJ4b37VwSBh4VUIOMz9ERxF5/DAuR1SPRkSIXSwmb9GCpjDSwGd4rFX93be3ZRf72RKN/AwjLq9rVrNkovOsRobHQ9coKNGxNLKCM4rdKB4CA/xOPJF2IKqMAs0vJYKt8I7Tzxqh7lRRLzZLejnDQh2MwCOCG6khWEoqK17QtF0uXhwTHE4oYyce7ncdwXDDOWnhTeFwo8PO/e05F1BmTdeU3iSlIOGvbeAmIEWl4+UjHNb9a6zFwapndmquYiHl7COjJ4b2M81SkH/BnaU2u/jmEDzb1By+jelscSEp/Jc7zS5fWTNCz3fhtNxc8wAB1YTKuR388XBCupS74NQHcz9WEdGj5T1r9SSc85USoMuPhvodG9JLzhr6c1mk959OtMiFr1CZx8HH9+g3/m1MqSmONHVFH6rwFIwadDNZg2avz8ht0dpEAIr08rS+GWe2Bg5/90+Uxn6mI24L91m84N2qFbTeQKtvq8VZ7M7Hh2e+vnatmenCEgogtk0DsxzOoEQp/qsmXG2kb9ZqkPM5zXqbLQy5rOyUGPPDjHkPCaYNWTHKKcVpDLlYlKdl4tgmNG4OmVVApz10uruDbqd/VYzcD6eIpjBjzCqByTkEaldNzfBImRKZDhpDoydRRcLZTMnsZfZkKSMSAieMBL6L/+7mnHz3501WjQt80GRL5836+f8pVt1dAHou0pjmRcJj+oV2EJqwaNNwvVRXJXtaqqsZje460yfeIS+HA/qJ6JJZZ7CV82nOP5UnQEOMhIcVsnm07yO7uVRCj/Mp8gtIJfAduBVp3ClBoucWMbclSns3Gb7+Eft/JXNCt2+YZUeOZ/iJKFsbJ5v/aP1ANiYbXeKk1qcoJSpPot8Zoh5kAN2VWHnUcU8ut/KZbYk25zJSkcX95/QDlhXJ0LN+H//9/8RpgZbFaQacb2bXdWUk81w8gSyAvI8aVwFuG+VN0FiSG9bPdAdZPWApySJaYhFsWIvurf05uPOWTQRSWI+m5YO8u4/cT7unInhiH+UxQ+OsjfwnKlv8b/uOrEb1twnRnQEedJS9/yWNnfVVb5NMybplKxb09JYcbld+cl9UQOB+TG3KN1xXp0FmI+NHsj8I9+auq5m7iDPz7jBfS1Pw68ZSW+1lQr0sZSBV4sORf7GTdbVQvbN3FugWtgaFQcvQrOgrXcrPHW1QspzFop3FGet/YnxdFqKiqpFv2HJb/svPwqHpgy/2JXyN4/5JcUbOJM8ogKSL/Nl89/0r2hgfpkh/znknUjfeiFQM5Tvtxk43JDzrsrMc4G+MSnmWt62FhvdHdlLRhNIxUcONK9wYT00jc9PGwFyhMOJKeM9wYUiGSaoNMQMDQkiVE5yXkQoynRFHolTmSVWJvRAFPoMTHV9DncvBjlICU7xlEiFcmpydoHXRMKRUICOR+YL9bFtikAAaJDph2M1hBQ6su74k37CKCxEozakZ0ESbwEkSPmTAihTT1yTvZSkPMrCpodAjUgMQZ5urzETIDpCDuubAFqC8BUAei1cZc81D6b1W4DyikY8GEx6VBfT40jmSZZQmzBUXKWsHsIsnZNYeXe4vnw+QRN+raMVNSBmVQCMN7EwzFLSdL0WjwPnwPPnhMBCzGlyjYVbZOZQFWdyovYrW1MrRYxLdyJWjkBwNZgaxCAsGH5QoIpJiiUymPIoi28JLCiXDtHv6ExHG/AdVVs13BwwUJj4tmsjA+ztMRAVUO27N0A7Z7KEpJQXY1ig7IN3YVMfi5ClYLnCTmhO2EHfwnh51SjNJ8rQlMYxFSTkrBKnYLo/lF3zOTP/zoUsYq8P8tE1VN3Smfm6nUS+ekszerebppDFnBt2RyhxO0dsZQWt89FBfI1nAhJvJUetiIetMt5QXS4KRikeqxfPleQ01RhQU5oXi9iZASGmC7nBytN5MWaNZoHRfILbaQyZf/l/AQAA///uE8fc" + return 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" } diff --git a/metricbeat/module/kubernetes/container/data.go b/metricbeat/module/kubernetes/container/data.go index 78c6d29b83e..53a795624d9 100644 --- a/metricbeat/module/kubernetes/container/data.go +++ b/metricbeat/module/kubernetes/container/data.go @@ -43,9 +43,7 @@ func eventMapping(content []byte, perfMetrics *util.PerfMetricsCache) ([]common. for _, container := range pod.Containers { containerEvent := common.MapStr{ mb.ModuleDataKey: common.MapStr{ - "namespace": common.MapStr{ - "name": pod.PodRef.Namespace, - }, + "namespace": pod.PodRef.Namespace, "node": common.MapStr{ "name": node.NodeName, }, diff --git a/metricbeat/module/kubernetes/event/event.go b/metricbeat/module/kubernetes/event/event.go index 639e7d6ec15..a1504b6ff05 100644 --- a/metricbeat/module/kubernetes/event/event.go +++ b/metricbeat/module/kubernetes/event/event.go @@ -126,10 +126,8 @@ func generateMapStrFromEvent(eve *kubernetes.Event, dedotConfig dedotConfig) com "timestamp": common.MapStr{ "created": kubernetes.Time(&eve.ObjectMeta.CreationTimestamp).UTC(), }, - "namespace": common.MapStr{ - "name": eve.ObjectMeta.GetNamespace(), - }, "name": eve.ObjectMeta.GetName(), + "namespace": eve.ObjectMeta.GetNamespace(), "self_link": eve.ObjectMeta.GetSelfLink(), "generate_name": eve.ObjectMeta.GetGenerateName(), "uid": eve.ObjectMeta.GetUID(), diff --git a/metricbeat/module/kubernetes/pod/data.go b/metricbeat/module/kubernetes/pod/data.go index 8e4ffc759eb..bb24d31905c 100644 --- a/metricbeat/module/kubernetes/pod/data.go +++ b/metricbeat/module/kubernetes/pod/data.go @@ -59,9 +59,7 @@ func eventMapping(content []byte, perfMetrics *util.PerfMetricsCache) ([]common. podEvent := common.MapStr{ mb.ModuleDataKey: common.MapStr{ - "namespace": common.MapStr{ - "name": pod.PodRef.Namespace, - }, + "namespace": pod.PodRef.Namespace, "node": common.MapStr{ "name": node.NodeName, }, diff --git a/metricbeat/module/kubernetes/state_container/_meta/test/ksm.v1.3.0.expected b/metricbeat/module/kubernetes/state_container/_meta/test/ksm.v1.3.0.expected index 004b0ee9968..9bfecbe3c39 100644 --- a/metricbeat/module/kubernetes/state_container/_meta/test/ksm.v1.3.0.expected +++ b/metricbeat/module/kubernetes/state_container/_meta/test/ksm.v1.3.0.expected @@ -10,9 +10,7 @@ } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, @@ -53,37 +51,30 @@ { "RootFields": { "container": { - "id": "ab382dbe8f8265f88ee9fec7de142f778da4a5fd9fe0334e3bdb6fe851124c08", + "id": "e9568dfef1dd249cabac4bf09e6bf4a239fe738ae20eba072b6516676fce4bf6", "image": { - "name": "k8s.gcr.io/kube-addon-manager:v8.6" + "name": "gcr.io/google_containers/kube-apiserver-amd64:v1.9.7" }, "runtime": "docker" } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, "pod": { - "name": "kube-addon-manager-minikube" + "name": "kube-apiserver-minikube" } }, "MetricSetFields": { "cpu": { "request": { - "cores": 0.005 - } - }, - "id": "docker://ab382dbe8f8265f88ee9fec7de142f778da4a5fd9fe0334e3bdb6fe851124c08", - "memory": { - "request": { - "bytes": 52428800 + "cores": 0.25 } }, - "name": "kube-addon-manager", + "id": "docker://e9568dfef1dd249cabac4bf09e6bf4a239fe738ae20eba072b6516676fce4bf6", + "name": "kube-apiserver", "status": { "phase": "running", "ready": true, @@ -104,32 +95,25 @@ { "RootFields": { "container": { - "id": "e9568dfef1dd249cabac4bf09e6bf4a239fe738ae20eba072b6516676fce4bf6", + "id": "76c260259ddfd0267b5acb4e514465215ef1ebfa93a4057d592828772e6b39f5", "image": { - "name": "gcr.io/google_containers/kube-apiserver-amd64:v1.9.7" + "name": "gcr.io/google_containers/kube-proxy-amd64:v1.9.7" }, "runtime": "docker" } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, "pod": { - "name": "kube-apiserver-minikube" + "name": "kube-proxy-znhg6" } }, "MetricSetFields": { - "cpu": { - "request": { - "cores": 0.25 - } - }, - "id": "docker://e9568dfef1dd249cabac4bf09e6bf4a239fe738ae20eba072b6516676fce4bf6", - "name": "kube-apiserver", + "id": "docker://76c260259ddfd0267b5acb4e514465215ef1ebfa93a4057d592828772e6b39f5", + "name": "kube-proxy", "status": { "phase": "running", "ready": true, @@ -150,43 +134,30 @@ { "RootFields": { "container": { - "id": "948c4ebd8ca4fdf352e7fbf7f5c5d381af7e615ced435dc42fde0c1d25851320", + "id": "4beb9aab887ca162c9cb3534c4826156636241052cd548153eaa2a170b6d102f", "image": { - "name": "k8s.gcr.io/addon-resizer:1.7" + "name": "gcr.io/google_containers/kube-controller-manager-amd64:v1.9.7" }, "runtime": "docker" } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, "pod": { - "name": "kube-state-metrics-6479d88c5c-5b6cl" + "name": "kube-controller-manager-minikube" } }, "MetricSetFields": { "cpu": { - "limit": { - "cores": 0.1 - }, - "request": { - "cores": 0.1 - } - }, - "id": "docker://948c4ebd8ca4fdf352e7fbf7f5c5d381af7e615ced435dc42fde0c1d25851320", - "memory": { - "limit": { - "bytes": 31457280 - }, "request": { - "bytes": 31457280 + "cores": 0.2 } }, - "name": "addon-resizer", + "id": "docker://4beb9aab887ca162c9cb3534c4826156636241052cd548153eaa2a170b6d102f", + "name": "kube-controller-manager", "status": { "phase": "running", "ready": true, @@ -207,27 +178,41 @@ { "RootFields": { "container": { - "id": "76c260259ddfd0267b5acb4e514465215ef1ebfa93a4057d592828772e6b39f5", + "id": "948c4ebd8ca4fdf352e7fbf7f5c5d381af7e615ced435dc42fde0c1d25851320", "image": { - "name": "gcr.io/google_containers/kube-proxy-amd64:v1.9.7" + "name": "k8s.gcr.io/addon-resizer:1.7" }, "runtime": "docker" } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, "pod": { - "name": "kube-proxy-znhg6" + "name": "kube-state-metrics-6479d88c5c-5b6cl" } }, "MetricSetFields": { - "id": "docker://76c260259ddfd0267b5acb4e514465215ef1ebfa93a4057d592828772e6b39f5", - "name": "kube-proxy", + "cpu": { + "limit": { + "cores": 0.1 + }, + "request": { + "cores": 0.1 + } + }, + "id": "docker://948c4ebd8ca4fdf352e7fbf7f5c5d381af7e615ced435dc42fde0c1d25851320", + "memory": { + "limit": { + "bytes": 31457280 + }, + "request": { + "bytes": 31457280 + } + }, + "name": "addon-resizer", "status": { "phase": "running", "ready": true, @@ -256,9 +241,7 @@ } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, @@ -302,9 +285,7 @@ } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, @@ -348,32 +329,25 @@ { "RootFields": { "container": { - "id": "4beb9aab887ca162c9cb3534c4826156636241052cd548153eaa2a170b6d102f", + "id": "6e96fd8a687409b2314dcc01f209bb0c813c2fb08b8f75ad1695e120d41e1a2a", "image": { - "name": "gcr.io/google_containers/kube-controller-manager-amd64:v1.9.7" + "name": "gcr.io/google_containers/etcd-amd64:3.1.11" }, "runtime": "docker" } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, "pod": { - "name": "kube-controller-manager-minikube" + "name": "etcd-minikube" } }, "MetricSetFields": { - "cpu": { - "request": { - "cores": 0.2 - } - }, - "id": "docker://4beb9aab887ca162c9cb3534c4826156636241052cd548153eaa2a170b6d102f", - "name": "kube-controller-manager", + "id": "docker://6e96fd8a687409b2314dcc01f209bb0c813c2fb08b8f75ad1695e120d41e1a2a", + "name": "etcd", "status": { "phase": "running", "ready": true, @@ -394,43 +368,35 @@ { "RootFields": { "container": { - "id": "88951e0178ea5131fa3e2d7cafacb3a7e63700795dd6fa0d40ed2e4ac1f52f9c", + "id": "ab382dbe8f8265f88ee9fec7de142f778da4a5fd9fe0334e3bdb6fe851124c08", "image": { - "name": "quay.io/coreos/kube-state-metrics:v1.3.0" + "name": "k8s.gcr.io/kube-addon-manager:v8.6" }, "runtime": "docker" } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, "pod": { - "name": "kube-state-metrics-6479d88c5c-5b6cl" + "name": "kube-addon-manager-minikube" } }, "MetricSetFields": { "cpu": { - "limit": { - "cores": 0.101 - }, "request": { - "cores": 0.101 + "cores": 0.005 } }, - "id": "docker://88951e0178ea5131fa3e2d7cafacb3a7e63700795dd6fa0d40ed2e4ac1f52f9c", + "id": "docker://ab382dbe8f8265f88ee9fec7de142f778da4a5fd9fe0334e3bdb6fe851124c08", "memory": { - "limit": { - "bytes": 106954752 - }, "request": { - "bytes": 106954752 + "bytes": 52428800 } }, - "name": "kube-state-metrics", + "name": "kube-addon-manager", "status": { "phase": "running", "ready": true, @@ -451,41 +417,44 @@ { "RootFields": { "container": { - "id": "aad0addd205dc72dc7abc8f9d02a1b429a2f2e1df3acc60431ca6b79746c093b", + "id": "88951e0178ea5131fa3e2d7cafacb3a7e63700795dd6fa0d40ed2e4ac1f52f9c", "image": { - "name": "gcr.io/google_containers/k8s-dns-sidecar-amd64:1.14.7" + "name": "quay.io/coreos/kube-state-metrics:v1.3.0" }, "runtime": "docker" } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, "pod": { - "name": "kube-dns-6f4fd4bdf-wlmht" + "name": "kube-state-metrics-6479d88c5c-5b6cl" } }, "MetricSetFields": { "cpu": { + "limit": { + "cores": 0.101 + }, "request": { - "cores": 0.01 + "cores": 0.101 } }, - "id": "docker://aad0addd205dc72dc7abc8f9d02a1b429a2f2e1df3acc60431ca6b79746c093b", + "id": "docker://88951e0178ea5131fa3e2d7cafacb3a7e63700795dd6fa0d40ed2e4ac1f52f9c", "memory": { + "limit": { + "bytes": 106954752 + }, "request": { - "bytes": 20971520 + "bytes": 106954752 } }, - "name": "sidecar", + "name": "kube-state-metrics", "status": { "phase": "running", "ready": true, - "reason": "OOMKilled", "restarts": 0 } }, @@ -511,9 +480,7 @@ } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, @@ -544,30 +511,39 @@ { "RootFields": { "container": { - "id": "6e96fd8a687409b2314dcc01f209bb0c813c2fb08b8f75ad1695e120d41e1a2a", + "id": "aad0addd205dc72dc7abc8f9d02a1b429a2f2e1df3acc60431ca6b79746c093b", "image": { - "name": "gcr.io/google_containers/etcd-amd64:3.1.11" + "name": "gcr.io/google_containers/k8s-dns-sidecar-amd64:1.14.7" }, "runtime": "docker" } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, "pod": { - "name": "etcd-minikube" + "name": "kube-dns-6f4fd4bdf-wlmht" } }, "MetricSetFields": { - "id": "docker://6e96fd8a687409b2314dcc01f209bb0c813c2fb08b8f75ad1695e120d41e1a2a", - "name": "etcd", + "cpu": { + "request": { + "cores": 0.01 + } + }, + "id": "docker://aad0addd205dc72dc7abc8f9d02a1b429a2f2e1df3acc60431ca6b79746c093b", + "memory": { + "request": { + "bytes": 20971520 + } + }, + "name": "sidecar", "status": { "phase": "running", "ready": true, + "reason": "OOMKilled", "restarts": 0 } }, @@ -593,9 +569,7 @@ } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, diff --git a/metricbeat/module/kubernetes/state_container/_meta/test/ksm.v1.8.0.expected b/metricbeat/module/kubernetes/state_container/_meta/test/ksm.v1.8.0.expected index ce83e911445..4277911c4b3 100644 --- a/metricbeat/module/kubernetes/state_container/_meta/test/ksm.v1.8.0.expected +++ b/metricbeat/module/kubernetes/state_container/_meta/test/ksm.v1.8.0.expected @@ -2,31 +2,38 @@ { "RootFields": { "container": { - "id": "30216f9823ca7d3454987075dd7256b665b14b2333c9a6762b127b6378516609", + "id": "f13c53a3ed0f3626b33b3c588d6913257320f65714eff28f25ead8f7663dc93b", "image": { - "name": "busybox:latest" + "name": "k8s.gcr.io/kube-addon-manager:v9.0.2" }, "runtime": "docker" } }, "ModuleFields": { - "namespace": { - "name": "default" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, "pod": { - "name": "hello-1578512100-vr7wj" + "name": "kube-addon-manager-minikube" } }, "MetricSetFields": { - "id": "docker://30216f9823ca7d3454987075dd7256b665b14b2333c9a6762b127b6378516609", - "name": "hello", + "cpu": { + "request": { + "cores": 0.005 + } + }, + "id": "docker://f13c53a3ed0f3626b33b3c588d6913257320f65714eff28f25ead8f7663dc93b", + "memory": { + "request": { + "bytes": 52428800 + } + }, + "name": "kube-addon-manager", "status": { - "phase": "terminated", - "ready": false, - "reason": "Completed", + "phase": "running", + "ready": true, "restarts": 0 } }, @@ -52,9 +59,7 @@ } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, @@ -90,40 +95,25 @@ { "RootFields": { "container": { - "id": "15ada7864628d1c8007c01420e5887a501590d3bc9c25628a4770172ad615112", + "id": "c152296116c064db311061cf6c39cff2de8d66339c954505cb68816464cf4a03", "image": { - "name": "k8s.gcr.io/coredns:1.6.2" + "name": "k8s.gcr.io/kube-proxy:v1.16.2" }, "runtime": "docker" } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, "pod": { - "name": "coredns-5644d7b6d9-k6wsp" + "name": "kube-proxy-dwg6l" } }, "MetricSetFields": { - "cpu": { - "request": { - "cores": 0.1 - } - }, - "id": "docker://15ada7864628d1c8007c01420e5887a501590d3bc9c25628a4770172ad615112", - "memory": { - "limit": { - "bytes": 178257920 - }, - "request": { - "bytes": 73400320 - } - }, - "name": "coredns", + "id": "docker://c152296116c064db311061cf6c39cff2de8d66339c954505cb68816464cf4a03", + "name": "kube-proxy", "status": { "phase": "running", "ready": true, @@ -144,27 +134,30 @@ { "RootFields": { "container": { - "id": "a4cec783af3614b137f4b449eebf3ac61eaf0a8661cb2f4847741be5a24de0bf", + "id": "465ebffafd7fc238a2fa2e764255efcbff88d5513f4c68f57d70932985428d12", "image": { - "name": "k8s.gcr.io/nginx-slim:0.8" + "name": "k8s.gcr.io/kube-controller-manager:v1.16.2" }, "runtime": "docker" } }, "ModuleFields": { - "namespace": { - "name": "default" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, "pod": { - "name": "web-0" + "name": "kube-controller-manager-minikube" } }, "MetricSetFields": { - "id": "docker://a4cec783af3614b137f4b449eebf3ac61eaf0a8661cb2f4847741be5a24de0bf", - "name": "nginx", + "cpu": { + "request": { + "cores": 0.2 + } + }, + "id": "docker://465ebffafd7fc238a2fa2e764255efcbff88d5513f4c68f57d70932985428d12", + "name": "kube-controller-manager", "status": { "phase": "running", "ready": true, @@ -185,30 +178,29 @@ { "RootFields": { "container": { - "id": "e0b05fcb32abf937c395942e0234b5dfc834206149bbb95afa585c51693650f3", + "id": "30216f9823ca7d3454987075dd7256b665b14b2333c9a6762b127b6378516609", "image": { - "name": "gcr.io/k8s-minikube/storage-provisioner:v1.8.1" + "name": "busybox:latest" }, "runtime": "docker" } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "default", "node": { "name": "minikube" }, "pod": { - "name": "storage-provisioner" + "name": "hello-1578512100-vr7wj" } }, "MetricSetFields": { - "id": "docker://e0b05fcb32abf937c395942e0234b5dfc834206149bbb95afa585c51693650f3", - "name": "storage-provisioner", + "id": "docker://30216f9823ca7d3454987075dd7256b665b14b2333c9a6762b127b6378516609", + "name": "hello", "status": { - "phase": "running", - "ready": true, + "phase": "terminated", + "ready": false, + "reason": "Completed", "restarts": 0 } }, @@ -226,37 +218,38 @@ { "RootFields": { "container": { - "id": "f13c53a3ed0f3626b33b3c588d6913257320f65714eff28f25ead8f7663dc93b", + "id": "f8fe5be1dbb1931d702c89235c79965730cbcced7b0ced9895f6c54c1ae8e5c3", "image": { - "name": "k8s.gcr.io/kube-addon-manager:v9.0.2" + "name": "k8s.gcr.io/coredns:1.6.2" }, "runtime": "docker" } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, "pod": { - "name": "kube-addon-manager-minikube" + "name": "coredns-5644d7b6d9-fhwjd" } }, "MetricSetFields": { "cpu": { "request": { - "cores": 0.005 + "cores": 0.1 } }, - "id": "docker://f13c53a3ed0f3626b33b3c588d6913257320f65714eff28f25ead8f7663dc93b", + "id": "docker://f8fe5be1dbb1931d702c89235c79965730cbcced7b0ced9895f6c54c1ae8e5c3", "memory": { + "limit": { + "bytes": 178257920 + }, "request": { - "bytes": 52428800 + "bytes": 73400320 } }, - "name": "kube-addon-manager", + "name": "coredns", "status": { "phase": "running", "ready": true, @@ -277,27 +270,25 @@ { "RootFields": { "container": { - "id": "669cc415d86b872450deaada60c73cca387ca23a7b0f21c5b146467b95cf1f76", + "id": "e0b05fcb32abf937c395942e0234b5dfc834206149bbb95afa585c51693650f3", "image": { - "name": "k8s.gcr.io/nginx-slim:0.8" + "name": "gcr.io/k8s-minikube/storage-provisioner:v1.8.1" }, "runtime": "docker" } }, "ModuleFields": { - "namespace": { - "name": "default" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, "pod": { - "name": "web-1" + "name": "storage-provisioner" } }, "MetricSetFields": { - "id": "docker://669cc415d86b872450deaada60c73cca387ca23a7b0f21c5b146467b95cf1f76", - "name": "nginx", + "id": "docker://e0b05fcb32abf937c395942e0234b5dfc834206149bbb95afa585c51693650f3", + "name": "storage-provisioner", "status": { "phase": "running", "ready": true, @@ -318,32 +309,25 @@ { "RootFields": { "container": { - "id": "cdaefb4df2f2add498f884fdc717a6ca8d2681c1636934747de600e6427e0c0d", + "id": "2e0519a3fcd62acea8f4253b994ce53356d89171c0eb0920a13fe58b637d8cdb", "image": { - "name": "k8s.gcr.io/kube-apiserver:v1.16.2" + "name": "quay.io/coreos/kube-state-metrics:v1.8.0" }, "runtime": "docker" } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, "pod": { - "name": "kube-apiserver-minikube" + "name": "kube-state-metrics-898d4db8d-dqmtg" } }, "MetricSetFields": { - "cpu": { - "request": { - "cores": 0.25 - } - }, - "id": "docker://cdaefb4df2f2add498f884fdc717a6ca8d2681c1636934747de600e6427e0c0d", - "name": "kube-apiserver", + "id": "docker://2e0519a3fcd62acea8f4253b994ce53356d89171c0eb0920a13fe58b637d8cdb", + "name": "kube-state-metrics", "status": { "phase": "running", "ready": true, @@ -364,27 +348,38 @@ { "RootFields": { "container": { - "id": "c152296116c064db311061cf6c39cff2de8d66339c954505cb68816464cf4a03", + "id": "15ada7864628d1c8007c01420e5887a501590d3bc9c25628a4770172ad615112", "image": { - "name": "k8s.gcr.io/kube-proxy:v1.16.2" + "name": "k8s.gcr.io/coredns:1.6.2" }, "runtime": "docker" } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, "pod": { - "name": "kube-proxy-dwg6l" + "name": "coredns-5644d7b6d9-k6wsp" } }, "MetricSetFields": { - "id": "docker://c152296116c064db311061cf6c39cff2de8d66339c954505cb68816464cf4a03", - "name": "kube-proxy", + "cpu": { + "request": { + "cores": 0.1 + } + }, + "id": "docker://15ada7864628d1c8007c01420e5887a501590d3bc9c25628a4770172ad615112", + "memory": { + "limit": { + "bytes": 178257920 + }, + "request": { + "bytes": 73400320 + } + }, + "name": "coredns", "status": { "phase": "running", "ready": true, @@ -405,40 +400,25 @@ { "RootFields": { "container": { - "id": "f8fe5be1dbb1931d702c89235c79965730cbcced7b0ced9895f6c54c1ae8e5c3", + "id": "669cc415d86b872450deaada60c73cca387ca23a7b0f21c5b146467b95cf1f76", "image": { - "name": "k8s.gcr.io/coredns:1.6.2" + "name": "k8s.gcr.io/nginx-slim:0.8" }, "runtime": "docker" } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "default", "node": { "name": "minikube" }, "pod": { - "name": "coredns-5644d7b6d9-fhwjd" + "name": "web-1" } }, "MetricSetFields": { - "cpu": { - "request": { - "cores": 0.1 - } - }, - "id": "docker://f8fe5be1dbb1931d702c89235c79965730cbcced7b0ced9895f6c54c1ae8e5c3", - "memory": { - "limit": { - "bytes": 178257920 - }, - "request": { - "bytes": 73400320 - } - }, - "name": "coredns", + "id": "docker://669cc415d86b872450deaada60c73cca387ca23a7b0f21c5b146467b95cf1f76", + "name": "nginx", "status": { "phase": "running", "ready": true, @@ -459,27 +439,30 @@ { "RootFields": { "container": { - "id": "2e0519a3fcd62acea8f4253b994ce53356d89171c0eb0920a13fe58b637d8cdb", + "id": "cdaefb4df2f2add498f884fdc717a6ca8d2681c1636934747de600e6427e0c0d", "image": { - "name": "quay.io/coreos/kube-state-metrics:v1.8.0" + "name": "k8s.gcr.io/kube-apiserver:v1.16.2" }, "runtime": "docker" } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, "pod": { - "name": "kube-state-metrics-898d4db8d-dqmtg" + "name": "kube-apiserver-minikube" } }, "MetricSetFields": { - "id": "docker://2e0519a3fcd62acea8f4253b994ce53356d89171c0eb0920a13fe58b637d8cdb", - "name": "kube-state-metrics", + "cpu": { + "request": { + "cores": 0.25 + } + }, + "id": "docker://cdaefb4df2f2add498f884fdc717a6ca8d2681c1636934747de600e6427e0c0d", + "name": "kube-apiserver", "status": { "phase": "running", "ready": true, @@ -508,9 +491,7 @@ } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, @@ -541,32 +522,25 @@ { "RootFields": { "container": { - "id": "465ebffafd7fc238a2fa2e764255efcbff88d5513f4c68f57d70932985428d12", + "id": "a4cec783af3614b137f4b449eebf3ac61eaf0a8661cb2f4847741be5a24de0bf", "image": { - "name": "k8s.gcr.io/kube-controller-manager:v1.16.2" + "name": "k8s.gcr.io/nginx-slim:0.8" }, "runtime": "docker" } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "default", "node": { "name": "minikube" }, "pod": { - "name": "kube-controller-manager-minikube" + "name": "web-0" } }, "MetricSetFields": { - "cpu": { - "request": { - "cores": 0.2 - } - }, - "id": "docker://465ebffafd7fc238a2fa2e764255efcbff88d5513f4c68f57d70932985428d12", - "name": "kube-controller-manager", + "id": "docker://a4cec783af3614b137f4b449eebf3ac61eaf0a8661cb2f4847741be5a24de0bf", + "name": "nginx", "status": { "phase": "running", "ready": true, diff --git a/metricbeat/module/kubernetes/state_container/_meta/test/ksm.v2.0.0.expected b/metricbeat/module/kubernetes/state_container/_meta/test/ksm.v2.0.0.expected index b1824708ae8..a8f3b293465 100644 --- a/metricbeat/module/kubernetes/state_container/_meta/test/ksm.v2.0.0.expected +++ b/metricbeat/module/kubernetes/state_container/_meta/test/ksm.v2.0.0.expected @@ -2,43 +2,38 @@ { "RootFields": { "container": { - "id": "3037e577635e9cbcefe1f273e5b06784d36807af76158e4add887e840c42e1ef", + "id": "3101d1525d6133851881f4b7cd439033663daefeb4849e5322d1428f09620628", "image": { - "name": "docker.io/kindest/kindnetd:v20210326-1e038dc5" + "name": "k8s.gcr.io/coredns:1.6.2" }, "runtime": "containerd" } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { - "name": "kind-worker2" + "name": "kind-control-plane" }, "pod": { - "name": "kindnet-tg7tl" + "name": "coredns-5644d7b6d9-zgdsx" } }, "MetricSetFields": { "cpu": { - "limit": { - "cores": 0.1 - }, "request": { "cores": 0.1 } }, - "id": "containerd://3037e577635e9cbcefe1f273e5b06784d36807af76158e4add887e840c42e1ef", + "id": "containerd://3101d1525d6133851881f4b7cd439033663daefeb4849e5322d1428f09620628", "memory": { "limit": { - "bytes": 52428800 + "bytes": 178257920 }, "request": { - "bytes": 52428800 + "bytes": 73400320 } }, - "name": "kindnet-cni", + "name": "coredns", "status": { "phase": "running", "ready": true, @@ -59,72 +54,33 @@ { "RootFields": { "container": { - "id": "a55ee307ef431d293c02a7eb96417963d7b81b298a8ebfac2f77fe4ca58e1461", + "id": "ffdc200c097349d8ed96f5768387d276751497297730121e6335a31c2d3332a4", "image": { - "name": "k8s.gcr.io/kube-proxy:v1.16.15" + "name": "k8s.gcr.io/kube-apiserver:v1.16.15" }, "runtime": "containerd" } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "kind-control-plane" }, "pod": { - "name": "kube-proxy-cm525" + "name": "kube-apiserver-kind-control-plane" } }, "MetricSetFields": { - "id": "containerd://a55ee307ef431d293c02a7eb96417963d7b81b298a8ebfac2f77fe4ca58e1461", - "name": "kube-proxy", + "cpu": { + "request": { + "cores": 0.25 + } + }, + "id": "containerd://ffdc200c097349d8ed96f5768387d276751497297730121e6335a31c2d3332a4", + "name": "kube-apiserver", "status": { "phase": "running", "ready": true, - "restarts": 4 - } - }, - "Index": "", - "ID": "", - "Namespace": "kubernetes.container", - "Timestamp": "0001-01-01T00:00:00Z", - "Error": null, - "Host": "", - "Service": "", - "Took": 0, - "Period": 0, - "DisableTimeSeries": false - }, - { - "RootFields": { - "container": { - "id": "a84953a247df489898d85ecfd0f893c2655ed1915ac902b309ee6e3658c7e258", - "image": { - "name": "docker.io/library/busybox:latest" - }, - "runtime": "containerd" - } - }, - "ModuleFields": { - "namespace": { - "name": "default" - }, - "node": { - "name": "kind-worker" - }, - "pod": { - "name": "hello-zf6gh" - } - }, - "MetricSetFields": { - "id": "containerd://a84953a247df489898d85ecfd0f893c2655ed1915ac902b309ee6e3658c7e258", - "name": "hello", - "status": { - "phase": "terminated", - "ready": false, - "reason": "Completed", "restarts": 0 } }, @@ -150,9 +106,7 @@ } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "kind-worker2" }, @@ -183,32 +137,25 @@ { "RootFields": { "container": { - "id": "1c1919c3b07bf3369b5e1a4bf187762f2724b3bc7eb113239af3919f12202337", + "id": "8af6de6644ef1e5bb36b9d1f87d65e9b893096ae2c0f3e57061fad70f094d1be", "image": { - "name": "k8s.gcr.io/kube-controller-manager:v1.16.15" + "name": "k8s.gcr.io/kube-proxy:v1.16.15" }, "runtime": "containerd" } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { - "name": "kind-control-plane" + "name": "kind-worker" }, "pod": { - "name": "kube-controller-manager-kind-control-plane" + "name": "kube-proxy-22znl" } }, "MetricSetFields": { - "cpu": { - "request": { - "cores": 0.2 - } - }, - "id": "containerd://1c1919c3b07bf3369b5e1a4bf187762f2724b3bc7eb113239af3919f12202337", - "name": "kube-controller-manager", + "id": "containerd://8af6de6644ef1e5bb36b9d1f87d65e9b893096ae2c0f3e57061fad70f094d1be", + "name": "kube-proxy", "status": { "phase": "running", "ready": true, @@ -229,31 +176,29 @@ { "RootFields": { "container": { - "id": "8af6de6644ef1e5bb36b9d1f87d65e9b893096ae2c0f3e57061fad70f094d1be", + "id": "02b0705f60dc6131a6b5d4e9a48e2510463f89a0f77e7e1bafa6b5f45cc595e8", "image": { - "name": "k8s.gcr.io/kube-proxy:v1.16.15" + "name": "docker.io/odise/busybox-python:latest" }, "runtime": "containerd" } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "default", "node": { "name": "kind-worker" }, "pod": { - "name": "kube-proxy-22znl" + "name": "hello-python-566b5479f5-ndwdl" } }, "MetricSetFields": { - "id": "containerd://8af6de6644ef1e5bb36b9d1f87d65e9b893096ae2c0f3e57061fad70f094d1be", - "name": "kube-proxy", + "id": "containerd://02b0705f60dc6131a6b5d4e9a48e2510463f89a0f77e7e1bafa6b5f45cc595e8", + "name": "hello-python", "status": { "phase": "running", "ready": true, - "restarts": 4 + "restarts": 18 } }, "Index": "", @@ -270,7 +215,7 @@ { "RootFields": { "container": { - "id": "9afadbf7fd5374d1849b008e8ad4287cdbfbbf499bab9740bf0c7a5cd6730ad9", + "id": "09603a8146bd6aacb32d55a1e52e929143f003ea30c84052f765efca129fd90a", "image": { "name": "docker.io/kindest/kindnetd:v20210326-1e038dc5" }, @@ -278,14 +223,12 @@ } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { - "name": "kind-worker" + "name": "kind-control-plane" }, "pod": { - "name": "kindnet-9fgst" + "name": "kindnet-kch2v" } }, "MetricSetFields": { @@ -297,7 +240,7 @@ "cores": 0.1 } }, - "id": "containerd://9afadbf7fd5374d1849b008e8ad4287cdbfbbf499bab9740bf0c7a5cd6730ad9", + "id": "containerd://09603a8146bd6aacb32d55a1e52e929143f003ea30c84052f765efca129fd90a", "memory": { "limit": { "bytes": 52428800 @@ -327,39 +270,34 @@ { "RootFields": { "container": { - "id": "fae8ef6fa6ea716f5ce0a65a1b2407d1e4839b04452d6013cdb6d5be8db8ada0", + "id": "cd368e1731c278b039642fab2fe90902e2cfa470fd70a7ccfd5c2549a552cea5", "image": { - "name": "docker.io/library/redis:5.0.4" + "name": "k8s.gcr.io/kube-scheduler:v1.16.15" }, "runtime": "containerd" } }, "ModuleFields": { - "namespace": { - "name": "default" - }, + "namespace": "kube-system", "node": { - "name": "kind-worker2" + "name": "kind-control-plane" }, "pod": { - "name": "redis" + "name": "kube-scheduler-kind-control-plane" } }, "MetricSetFields": { "cpu": { - "limit": { - "cores": 0.1 - }, "request": { "cores": 0.1 } }, - "id": "containerd://fae8ef6fa6ea716f5ce0a65a1b2407d1e4839b04452d6013cdb6d5be8db8ada0", - "name": "redis", + "id": "containerd://cd368e1731c278b039642fab2fe90902e2cfa470fd70a7ccfd5c2549a552cea5", + "name": "kube-scheduler", "status": { "phase": "running", "ready": true, - "restarts": 1 + "restarts": 4 } }, "Index": "", @@ -376,36 +314,29 @@ { "RootFields": { "container": { - "id": "cd368e1731c278b039642fab2fe90902e2cfa470fd70a7ccfd5c2549a552cea5", + "id": "1a223dbb8b51a7404836789fd049701a9e4df7bb69878fb893ab10419ff4eb29", "image": { - "name": "k8s.gcr.io/kube-scheduler:v1.16.15" + "name": "docker.io/rancher/local-path-provisioner:v0.0.14" }, "runtime": "containerd" } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "local-path-storage", "node": { "name": "kind-control-plane" }, "pod": { - "name": "kube-scheduler-kind-control-plane" + "name": "local-path-provisioner-5bf465b47d-h8hjn" } }, "MetricSetFields": { - "cpu": { - "request": { - "cores": 0.1 - } - }, - "id": "containerd://cd368e1731c278b039642fab2fe90902e2cfa470fd70a7ccfd5c2549a552cea5", - "name": "kube-scheduler", + "id": "containerd://1a223dbb8b51a7404836789fd049701a9e4df7bb69878fb893ab10419ff4eb29", + "name": "local-path-provisioner", "status": { "phase": "running", "ready": true, - "restarts": 4 + "restarts": 8 } }, "Index": "", @@ -422,7 +353,7 @@ { "RootFields": { "container": { - "id": "90560da422742a41de53c281969942c25f24d7b6bf73af6e4f226ee62338f640", + "id": "d66f649ad0f6c1822039f1c4ea27b6f792f6a86029bf862e77afa2966042a1ce", "image": { "name": "docker.elastic.co/beats/metricbeat:7.15.0-SNAPSHOT" }, @@ -430,14 +361,12 @@ } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { - "name": "kind-worker" + "name": "kind-worker2" }, "pod": { - "name": "metricbeat-bvr2v" + "name": "metricbeat-55fp7" } }, "MetricSetFields": { @@ -446,7 +375,7 @@ "cores": 0.1 } }, - "id": "containerd://90560da422742a41de53c281969942c25f24d7b6bf73af6e4f226ee62338f640", + "id": "containerd://d66f649ad0f6c1822039f1c4ea27b6f792f6a86029bf862e77afa2966042a1ce", "memory": { "limit": { "bytes": 209715200 @@ -484,9 +413,7 @@ } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "kind-control-plane" }, @@ -530,31 +457,37 @@ { "RootFields": { "container": { - "id": "3f9250f160ca15f681b8c7da78fdf34cd8be8a86fde3910b682ad413b940a8c5", + "id": "fae8ef6fa6ea716f5ce0a65a1b2407d1e4839b04452d6013cdb6d5be8db8ada0", "image": { - "name": "k8s.gcr.io/etcd:3.3.15-0" + "name": "docker.io/library/redis:5.0.4" }, "runtime": "containerd" } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "default", "node": { - "name": "kind-control-plane" + "name": "kind-worker2" }, "pod": { - "name": "etcd-kind-control-plane" + "name": "redis" } }, "MetricSetFields": { - "id": "containerd://3f9250f160ca15f681b8c7da78fdf34cd8be8a86fde3910b682ad413b940a8c5", - "name": "etcd", + "cpu": { + "limit": { + "cores": 0.1 + }, + "request": { + "cores": 0.1 + } + }, + "id": "containerd://fae8ef6fa6ea716f5ce0a65a1b2407d1e4839b04452d6013cdb6d5be8db8ada0", + "name": "redis", "status": { "phase": "running", "ready": true, - "restarts": 0 + "restarts": 1 } }, "Index": "", @@ -571,36 +504,45 @@ { "RootFields": { "container": { - "id": "ffdc200c097349d8ed96f5768387d276751497297730121e6335a31c2d3332a4", + "id": "9afadbf7fd5374d1849b008e8ad4287cdbfbbf499bab9740bf0c7a5cd6730ad9", "image": { - "name": "k8s.gcr.io/kube-apiserver:v1.16.15" + "name": "docker.io/kindest/kindnetd:v20210326-1e038dc5" }, "runtime": "containerd" } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { - "name": "kind-control-plane" + "name": "kind-worker" }, "pod": { - "name": "kube-apiserver-kind-control-plane" + "name": "kindnet-9fgst" } }, "MetricSetFields": { "cpu": { + "limit": { + "cores": 0.1 + }, "request": { - "cores": 0.25 + "cores": 0.1 } }, - "id": "containerd://ffdc200c097349d8ed96f5768387d276751497297730121e6335a31c2d3332a4", - "name": "kube-apiserver", + "id": "containerd://9afadbf7fd5374d1849b008e8ad4287cdbfbbf499bab9740bf0c7a5cd6730ad9", + "memory": { + "limit": { + "bytes": 52428800 + }, + "request": { + "bytes": 52428800 + } + }, + "name": "kindnet-cni", "status": { "phase": "running", "ready": true, - "restarts": 0 + "restarts": 4 } }, "Index": "", @@ -617,44 +559,29 @@ { "RootFields": { "container": { - "id": "3101d1525d6133851881f4b7cd439033663daefeb4849e5322d1428f09620628", + "id": "ae513b826459c9382984bea986eb3546aa45fd0e650051cb9591ab7a8efed6ea", "image": { - "name": "k8s.gcr.io/coredns:1.6.2" + "name": "k8s.gcr.io/kube-state-metrics/kube-state-metrics:v2.1.0" }, "runtime": "containerd" } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { - "name": "kind-control-plane" + "name": "kind-worker" }, "pod": { - "name": "coredns-5644d7b6d9-zgdsx" + "name": "kube-state-metrics-f655d484d-hj69w" } }, "MetricSetFields": { - "cpu": { - "request": { - "cores": 0.1 - } - }, - "id": "containerd://3101d1525d6133851881f4b7cd439033663daefeb4849e5322d1428f09620628", - "memory": { - "limit": { - "bytes": 178257920 - }, - "request": { - "bytes": 73400320 - } - }, - "name": "coredns", + "id": "containerd://ae513b826459c9382984bea986eb3546aa45fd0e650051cb9591ab7a8efed6ea", + "name": "kube-state-metrics", "status": { "phase": "running", "ready": true, - "restarts": 4 + "restarts": 2 } }, "Index": "", @@ -671,7 +598,7 @@ { "RootFields": { "container": { - "id": "d66f649ad0f6c1822039f1c4ea27b6f792f6a86029bf862e77afa2966042a1ce", + "id": "90560da422742a41de53c281969942c25f24d7b6bf73af6e4f226ee62338f640", "image": { "name": "docker.elastic.co/beats/metricbeat:7.15.0-SNAPSHOT" }, @@ -679,14 +606,12 @@ } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { - "name": "kind-worker2" + "name": "kind-worker" }, "pod": { - "name": "metricbeat-55fp7" + "name": "metricbeat-bvr2v" } }, "MetricSetFields": { @@ -695,7 +620,7 @@ "cores": 0.1 } }, - "id": "containerd://d66f649ad0f6c1822039f1c4ea27b6f792f6a86029bf862e77afa2966042a1ce", + "id": "containerd://90560da422742a41de53c281969942c25f24d7b6bf73af6e4f226ee62338f640", "memory": { "limit": { "bytes": 209715200 @@ -725,31 +650,30 @@ { "RootFields": { "container": { - "id": "ae513b826459c9382984bea986eb3546aa45fd0e650051cb9591ab7a8efed6ea", + "id": "a84953a247df489898d85ecfd0f893c2655ed1915ac902b309ee6e3658c7e258", "image": { - "name": "k8s.gcr.io/kube-state-metrics/kube-state-metrics:v2.1.0" + "name": "docker.io/library/busybox:latest" }, "runtime": "containerd" } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "default", "node": { "name": "kind-worker" }, "pod": { - "name": "kube-state-metrics-f655d484d-hj69w" + "name": "hello-zf6gh" } }, "MetricSetFields": { - "id": "containerd://ae513b826459c9382984bea986eb3546aa45fd0e650051cb9591ab7a8efed6ea", - "name": "kube-state-metrics", + "id": "containerd://a84953a247df489898d85ecfd0f893c2655ed1915ac902b309ee6e3658c7e258", + "name": "hello", "status": { - "phase": "running", - "ready": true, - "restarts": 2 + "phase": "terminated", + "ready": false, + "reason": "Completed", + "restarts": 0 } }, "Index": "", @@ -766,43 +690,25 @@ { "RootFields": { "container": { - "id": "09603a8146bd6aacb32d55a1e52e929143f003ea30c84052f765efca129fd90a", + "id": "a55ee307ef431d293c02a7eb96417963d7b81b298a8ebfac2f77fe4ca58e1461", "image": { - "name": "docker.io/kindest/kindnetd:v20210326-1e038dc5" + "name": "k8s.gcr.io/kube-proxy:v1.16.15" }, "runtime": "containerd" } }, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "kind-control-plane" }, "pod": { - "name": "kindnet-kch2v" + "name": "kube-proxy-cm525" } }, "MetricSetFields": { - "cpu": { - "limit": { - "cores": 0.1 - }, - "request": { - "cores": 0.1 - } - }, - "id": "containerd://09603a8146bd6aacb32d55a1e52e929143f003ea30c84052f765efca129fd90a", - "memory": { - "limit": { - "bytes": 52428800 - }, - "request": { - "bytes": 52428800 - } - }, - "name": "kindnet-cni", + "id": "containerd://a55ee307ef431d293c02a7eb96417963d7b81b298a8ebfac2f77fe4ca58e1461", + "name": "kube-proxy", "status": { "phase": "running", "ready": true, @@ -823,31 +729,29 @@ { "RootFields": { "container": { - "id": "02b0705f60dc6131a6b5d4e9a48e2510463f89a0f77e7e1bafa6b5f45cc595e8", + "id": "3f9250f160ca15f681b8c7da78fdf34cd8be8a86fde3910b682ad413b940a8c5", "image": { - "name": "docker.io/odise/busybox-python:latest" + "name": "k8s.gcr.io/etcd:3.3.15-0" }, "runtime": "containerd" } }, "ModuleFields": { - "namespace": { - "name": "default" - }, + "namespace": "kube-system", "node": { - "name": "kind-worker" + "name": "kind-control-plane" }, "pod": { - "name": "hello-python-566b5479f5-ndwdl" + "name": "etcd-kind-control-plane" } }, "MetricSetFields": { - "id": "containerd://02b0705f60dc6131a6b5d4e9a48e2510463f89a0f77e7e1bafa6b5f45cc595e8", - "name": "hello-python", + "id": "containerd://3f9250f160ca15f681b8c7da78fdf34cd8be8a86fde3910b682ad413b940a8c5", + "name": "etcd", "status": { "phase": "running", "ready": true, - "restarts": 18 + "restarts": 0 } }, "Index": "", @@ -864,31 +768,89 @@ { "RootFields": { "container": { - "id": "1a223dbb8b51a7404836789fd049701a9e4df7bb69878fb893ab10419ff4eb29", + "id": "3037e577635e9cbcefe1f273e5b06784d36807af76158e4add887e840c42e1ef", "image": { - "name": "docker.io/rancher/local-path-provisioner:v0.0.14" + "name": "docker.io/kindest/kindnetd:v20210326-1e038dc5" }, "runtime": "containerd" } }, "ModuleFields": { - "namespace": { - "name": "local-path-storage" + "namespace": "kube-system", + "node": { + "name": "kind-worker2" + }, + "pod": { + "name": "kindnet-tg7tl" + } + }, + "MetricSetFields": { + "cpu": { + "limit": { + "cores": 0.1 + }, + "request": { + "cores": 0.1 + } }, + "id": "containerd://3037e577635e9cbcefe1f273e5b06784d36807af76158e4add887e840c42e1ef", + "memory": { + "limit": { + "bytes": 52428800 + }, + "request": { + "bytes": 52428800 + } + }, + "name": "kindnet-cni", + "status": { + "phase": "running", + "ready": true, + "restarts": 4 + } + }, + "Index": "", + "ID": "", + "Namespace": "kubernetes.container", + "Timestamp": "0001-01-01T00:00:00Z", + "Error": null, + "Host": "", + "Service": "", + "Took": 0, + "Period": 0, + "DisableTimeSeries": false + }, + { + "RootFields": { + "container": { + "id": "1c1919c3b07bf3369b5e1a4bf187762f2724b3bc7eb113239af3919f12202337", + "image": { + "name": "k8s.gcr.io/kube-controller-manager:v1.16.15" + }, + "runtime": "containerd" + } + }, + "ModuleFields": { + "namespace": "kube-system", "node": { "name": "kind-control-plane" }, "pod": { - "name": "local-path-provisioner-5bf465b47d-h8hjn" + "name": "kube-controller-manager-kind-control-plane" } }, "MetricSetFields": { - "id": "containerd://1a223dbb8b51a7404836789fd049701a9e4df7bb69878fb893ab10419ff4eb29", - "name": "local-path-provisioner", + "cpu": { + "request": { + "cores": 0.2 + } + }, + "id": "containerd://1c1919c3b07bf3369b5e1a4bf187762f2724b3bc7eb113239af3919f12202337", + "name": "kube-controller-manager", "status": { "phase": "running", "ready": true, - "restarts": 8 + "restarts": 4 } }, "Index": "", diff --git a/metricbeat/module/kubernetes/state_container/_meta/testdata/ksm-v1_3_0.plain-expected.json b/metricbeat/module/kubernetes/state_container/_meta/testdata/ksm-v1_3_0.plain-expected.json index a38d8487d34..91d3176317d 100644 --- a/metricbeat/module/kubernetes/state_container/_meta/testdata/ksm-v1_3_0.plain-expected.json +++ b/metricbeat/module/kubernetes/state_container/_meta/testdata/ksm-v1_3_0.plain-expected.json @@ -1,9 +1,9 @@ [ { "container": { - "id": "52fa55e051dc5b68e44c027588685b7edd85aaa03b07f7216d399249ff4fc821", + "id": "469f5d2b7854eb52e5d13dc0cd3e664c1b682b157aabaf596ffe4984f1516902", "image": { - "name": "gcr.io/google_containers/exechealthz-amd64:1.2" + "name": "gcr.io/kubernetes-helm/tiller:v2.3.1" }, "runtime": "docker" }, @@ -14,35 +14,20 @@ }, "kubernetes": { "container": { - "cpu": { - "request": { - "cores": 0.01 - } - }, - "id": "docker://52fa55e051dc5b68e44c027588685b7edd85aaa03b07f7216d399249ff4fc821", - "memory": { - "limit": { - "bytes": 52428800 - }, - "request": { - "bytes": 52428800 - } - }, - "name": "healthz", + "id": "docker://469f5d2b7854eb52e5d13dc0cd3e664c1b682b157aabaf596ffe4984f1516902", + "name": "tiller", "status": { "phase": "running", "ready": true, - "restarts": 2 + "restarts": 1 } }, - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, "pod": { - "name": "kube-dns-v20-5g5cb" + "name": "tiller-deploy-3067024529-9lpmb" } }, "metricset": { @@ -56,9 +41,9 @@ }, { "container": { - "id": "fa3d83f648de42492b38fa3e8501d109376f391c50f2bd210c895c8477ae4b62", + "id": "3aaee8bdd311c015240e99fa2a5a5f2f26b11b51236a683b39d8c1902e423978", "image": { - "name": "gcr.io/google_containers/kubedns-amd64:1.9" + "name": "gcr.io/google_containers/kubernetes-dashboard-amd64:v1.5.1" }, "runtime": "docker" }, @@ -69,35 +54,20 @@ }, "kubernetes": { "container": { - "cpu": { - "request": { - "cores": 0.1 - } - }, - "id": "docker://fa3d83f648de42492b38fa3e8501d109376f391c50f2bd210c895c8477ae4b62", - "memory": { - "limit": { - "bytes": 178257920 - }, - "request": { - "bytes": 73400320 - } - }, - "name": "kubedns", + "id": "docker://3aaee8bdd311c015240e99fa2a5a5f2f26b11b51236a683b39d8c1902e423978", + "name": "kubernetes-dashboard", "status": { "phase": "running", "ready": true, "restarts": 2 } }, - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, "pod": { - "name": "kube-dns-v20-5g5cb" + "name": "kubernetes-dashboard-vw0l6" } }, "metricset": { @@ -110,13 +80,6 @@ } }, { - "container": { - "id": "91fdd43f6b1b4c3dd133cfca53e0b1210bc557c2ae56006026b5ccdb5f52826f", - "image": { - "name": "gcr.io/google-containers/kube-addon-manager:v6.3" - }, - "runtime": "docker" - }, "event": { "dataset": "kubernetes.container", "duration": 115000, @@ -125,31 +88,26 @@ "kubernetes": { "container": { "cpu": { + "limit": { + "cores": 0.2 + }, "request": { - "cores": 0.005 + "cores": 0.1 } }, - "id": "docker://91fdd43f6b1b4c3dd133cfca53e0b1210bc557c2ae56006026b5ccdb5f52826f", "memory": { - "request": { + "limit": { "bytes": 52428800 + }, + "request": { + "bytes": 31457280 } }, - "name": "kube-addon-manager", - "status": { - "phase": "running", - "ready": true, - "restarts": 2 - } - }, - "namespace": { - "name": "kube-system" - }, - "node": { - "name": "minikube" + "name": "kube-state-metrics" }, + "namespace": "kube-system", "pod": { - "name": "kube-addon-manager-minikube" + "name": "kube-state-metrics-1303537707-mnzbp" } }, "metricset": { @@ -163,9 +121,9 @@ }, { "container": { - "id": "3aaee8bdd311c015240e99fa2a5a5f2f26b11b51236a683b39d8c1902e423978", + "id": "973cbe45982c5126a5caf8c58d964c0ab1d5bb2c165ccc59715fcc1ebd58ab3d", "image": { - "name": "gcr.io/google_containers/kubernetes-dashboard-amd64:v1.5.1" + "name": "gcr.io/google_containers/kube-state-metrics:v0.4.1" }, "runtime": "docker" }, @@ -176,22 +134,36 @@ }, "kubernetes": { "container": { - "id": "docker://3aaee8bdd311c015240e99fa2a5a5f2f26b11b51236a683b39d8c1902e423978", - "name": "kubernetes-dashboard", + "cpu": { + "limit": { + "cores": 0.2 + }, + "request": { + "cores": 0.1 + } + }, + "id": "docker://973cbe45982c5126a5caf8c58d964c0ab1d5bb2c165ccc59715fcc1ebd58ab3d", + "memory": { + "limit": { + "bytes": 52428800 + }, + "request": { + "bytes": 31457280 + } + }, + "name": "kube-state-metrics", "status": { "phase": "running", "ready": true, - "restarts": 2 + "restarts": 1 } }, - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, "pod": { - "name": "kubernetes-dashboard-vw0l6" + "name": "kube-state-metrics-1303537707-7ncd1" } }, "metricset": { @@ -205,9 +177,9 @@ }, { "container": { - "id": "fa3d83f648de42492b38fa3e8501d109376f391c50f2bd210c895c8477ae4b62-test", + "id": "e2ee1c2c7b8d4e5fd8c834b83cba8377d6b0e39da18157688ccc1a06b7c53117", "image": { - "name": "gcr.io/google_containers/kubedns-amd64:1.9-test" + "name": "jenkinsci/jenkins:2.46.1" }, "runtime": "docker" }, @@ -223,30 +195,25 @@ "cores": 0.2 } }, - "id": "docker://fa3d83f648de42492b38fa3e8501d109376f391c50f2bd210c895c8477ae4b62-test", + "id": "docker://e2ee1c2c7b8d4e5fd8c834b83cba8377d6b0e39da18157688ccc1a06b7c53117", "memory": { - "limit": { - "bytes": 278257920 - }, "request": { - "bytes": 83400320 + "bytes": 268435456 } }, - "name": "kubedns", + "name": "wise-lynx-jenkins", "status": { - "phase": "terminated", - "ready": false, - "restarts": 3 + "phase": "running", + "ready": true, + "restarts": 1 } }, - "namespace": { - "name": "test" - }, + "namespace": "jenkins", "node": { - "name": "minikube-test" + "name": "minikube" }, "pod": { - "name": "kube-dns-v20-5g5cb-test" + "name": "wise-lynx-jenkins-1616735317-svn6k" } }, "metricset": { @@ -260,9 +227,9 @@ }, { "container": { - "id": "e2ee1c2c7b8d4e5fd8c834b83cba8377d6b0e39da18157688ccc1a06b7c53117", + "id": "fa3d83f648de42492b38fa3e8501d109376f391c50f2bd210c895c8477ae4b62", "image": { - "name": "jenkinsci/jenkins:2.46.1" + "name": "gcr.io/google_containers/kubedns-amd64:1.9" }, "runtime": "docker" }, @@ -275,30 +242,31 @@ "container": { "cpu": { "request": { - "cores": 0.2 + "cores": 0.1 } }, - "id": "docker://e2ee1c2c7b8d4e5fd8c834b83cba8377d6b0e39da18157688ccc1a06b7c53117", + "id": "docker://fa3d83f648de42492b38fa3e8501d109376f391c50f2bd210c895c8477ae4b62", "memory": { + "limit": { + "bytes": 178257920 + }, "request": { - "bytes": 268435456 + "bytes": 73400320 } }, - "name": "wise-lynx-jenkins", + "name": "kubedns", "status": { "phase": "running", "ready": true, - "restarts": 1 + "restarts": 2 } }, - "namespace": { - "name": "jenkins" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, "pod": { - "name": "wise-lynx-jenkins-1616735317-svn6k" + "name": "kube-dns-v20-5g5cb" } }, "metricset": { @@ -311,6 +279,13 @@ } }, { + "container": { + "id": "4fa227874ee68536bf902394fb662f07b99099798ca9cd5c1506b79075acc065", + "image": { + "name": "bitnami/redis:3.2.8-r2" + }, + "runtime": "docker" + }, "event": { "dataset": "kubernetes.container", "duration": 115000, @@ -319,28 +294,29 @@ "kubernetes": { "container": { "cpu": { - "limit": { - "cores": 0.2 - }, "request": { "cores": 0.1 } }, + "id": "docker://4fa227874ee68536bf902394fb662f07b99099798ca9cd5c1506b79075acc065", "memory": { - "limit": { - "bytes": 52428800 - }, "request": { - "bytes": 31457280 + "bytes": 268435456 } }, - "name": "kube-state-metrics" + "name": "jumpy-owl-redis", + "status": { + "phase": "waiting", + "ready": false, + "restarts": 270 + } }, - "namespace": { - "name": "kube-system" + "namespace": "default", + "node": { + "name": "minikube" }, "pod": { - "name": "kube-state-metrics-1303537707-mnzbp" + "name": "jumpy-owl-redis-3481028193-s78x9" } }, "metricset": { @@ -354,9 +330,9 @@ }, { "container": { - "id": "9a4c9462cd078d7be4f0a9b94bcfeb69d5fdd76bff67142df3f58367ac7e8d61", + "id": "fa3d83f648de42492b38fa3e8501d109376f391c50f2bd210c895c8477ae4b62-test", "image": { - "name": "gcr.io/google_containers/kube-dnsmasq-amd64:1.4" + "name": "gcr.io/google_containers/kubedns-amd64:1.9-test" }, "runtime": "docker" }, @@ -367,22 +343,33 @@ }, "kubernetes": { "container": { - "id": "docker://9a4c9462cd078d7be4f0a9b94bcfeb69d5fdd76bff67142df3f58367ac7e8d61", - "name": "dnsmasq", + "cpu": { + "request": { + "cores": 0.2 + } + }, + "id": "docker://fa3d83f648de42492b38fa3e8501d109376f391c50f2bd210c895c8477ae4b62-test", + "memory": { + "limit": { + "bytes": 278257920 + }, + "request": { + "bytes": 83400320 + } + }, + "name": "kubedns", "status": { - "phase": "running", - "ready": true, - "restarts": 2 + "phase": "terminated", + "ready": false, + "restarts": 3 } }, - "namespace": { - "name": "kube-system" - }, + "namespace": "test", "node": { - "name": "minikube" + "name": "minikube-test" }, "pod": { - "name": "kube-dns-v20-5g5cb" + "name": "kube-dns-v20-5g5cb-test" } }, "metricset": { @@ -396,9 +383,9 @@ }, { "container": { - "id": "973cbe45982c5126a5caf8c58d964c0ab1d5bb2c165ccc59715fcc1ebd58ab3d", + "id": "91fdd43f6b1b4c3dd133cfca53e0b1210bc557c2ae56006026b5ccdb5f52826f", "image": { - "name": "gcr.io/google_containers/kube-state-metrics:v0.4.1" + "name": "gcr.io/google-containers/kube-addon-manager:v6.3" }, "runtime": "docker" }, @@ -410,37 +397,29 @@ "kubernetes": { "container": { "cpu": { - "limit": { - "cores": 0.2 - }, "request": { - "cores": 0.1 + "cores": 0.005 } }, - "id": "docker://973cbe45982c5126a5caf8c58d964c0ab1d5bb2c165ccc59715fcc1ebd58ab3d", + "id": "docker://91fdd43f6b1b4c3dd133cfca53e0b1210bc557c2ae56006026b5ccdb5f52826f", "memory": { - "limit": { - "bytes": 52428800 - }, "request": { - "bytes": 31457280 + "bytes": 52428800 } }, - "name": "kube-state-metrics", + "name": "kube-addon-manager", "status": { "phase": "running", "ready": true, - "restarts": 1 + "restarts": 2 } }, - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, "pod": { - "name": "kube-state-metrics-1303537707-7ncd1" + "name": "kube-addon-manager-minikube" } }, "metricset": { @@ -454,9 +433,9 @@ }, { "container": { - "id": "4fa227874ee68536bf902394fb662f07b99099798ca9cd5c1506b79075acc065", + "id": "52fa55e051dc5b68e44c027588685b7edd85aaa03b07f7216d399249ff4fc821", "image": { - "name": "bitnami/redis:3.2.8-r2" + "name": "gcr.io/google_containers/exechealthz-amd64:1.2" }, "runtime": "docker" }, @@ -469,30 +448,31 @@ "container": { "cpu": { "request": { - "cores": 0.1 + "cores": 0.01 } }, - "id": "docker://4fa227874ee68536bf902394fb662f07b99099798ca9cd5c1506b79075acc065", + "id": "docker://52fa55e051dc5b68e44c027588685b7edd85aaa03b07f7216d399249ff4fc821", "memory": { + "limit": { + "bytes": 52428800 + }, "request": { - "bytes": 268435456 + "bytes": 52428800 } }, - "name": "jumpy-owl-redis", + "name": "healthz", "status": { - "phase": "waiting", - "ready": false, - "restarts": 270 + "phase": "running", + "ready": true, + "restarts": 2 } }, - "namespace": { - "name": "default" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, "pod": { - "name": "jumpy-owl-redis-3481028193-s78x9" + "name": "kube-dns-v20-5g5cb" } }, "metricset": { @@ -506,9 +486,9 @@ }, { "container": { - "id": "469f5d2b7854eb52e5d13dc0cd3e664c1b682b157aabaf596ffe4984f1516902", + "id": "9a4c9462cd078d7be4f0a9b94bcfeb69d5fdd76bff67142df3f58367ac7e8d61", "image": { - "name": "gcr.io/kubernetes-helm/tiller:v2.3.1" + "name": "gcr.io/google_containers/kube-dnsmasq-amd64:1.4" }, "runtime": "docker" }, @@ -519,22 +499,20 @@ }, "kubernetes": { "container": { - "id": "docker://469f5d2b7854eb52e5d13dc0cd3e664c1b682b157aabaf596ffe4984f1516902", - "name": "tiller", + "id": "docker://9a4c9462cd078d7be4f0a9b94bcfeb69d5fdd76bff67142df3f58367ac7e8d61", + "name": "dnsmasq", "status": { "phase": "running", "ready": true, - "restarts": 1 + "restarts": 2 } }, - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, "pod": { - "name": "tiller-deploy-3067024529-9lpmb" + "name": "kube-dns-v20-5g5cb" } }, "metricset": { diff --git a/metricbeat/module/kubernetes/state_container/state_container.go b/metricbeat/module/kubernetes/state_container/state_container.go index 56ab2d8adac..23c34bf040f 100644 --- a/metricbeat/module/kubernetes/state_container/state_container.go +++ b/metricbeat/module/kubernetes/state_container/state_container.go @@ -78,7 +78,7 @@ var ( Labels: map[string]p.LabelMap{ "pod": p.KeyLabel(mb.ModuleDataKey + ".pod.name"), "container": p.KeyLabel("name"), - "namespace": p.KeyLabel(mb.ModuleDataKey + ".namespace.name"), + "namespace": p.KeyLabel(mb.ModuleDataKey + ".namespace"), "node": p.Label(mb.ModuleDataKey + ".node.name"), "container_id": p.Label("id"), diff --git a/metricbeat/module/kubernetes/state_cronjob/_meta/test/ksm.v1.8.0.expected b/metricbeat/module/kubernetes/state_cronjob/_meta/test/ksm.v1.8.0.expected index 35dea56dcff..926f896d112 100644 --- a/metricbeat/module/kubernetes/state_cronjob/_meta/test/ksm.v1.8.0.expected +++ b/metricbeat/module/kubernetes/state_cronjob/_meta/test/ksm.v1.8.0.expected @@ -2,9 +2,7 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "default" - } + "namespace": "default" }, "MetricSetFields": { "active": { diff --git a/metricbeat/module/kubernetes/state_cronjob/_meta/test/ksm.v2.0.0.expected b/metricbeat/module/kubernetes/state_cronjob/_meta/test/ksm.v2.0.0.expected index aedf4d80e84..0702ef4cfe2 100644 --- a/metricbeat/module/kubernetes/state_cronjob/_meta/test/ksm.v2.0.0.expected +++ b/metricbeat/module/kubernetes/state_cronjob/_meta/test/ksm.v2.0.0.expected @@ -2,9 +2,7 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "default" - } + "namespace": "default" }, "MetricSetFields": { "active": { diff --git a/metricbeat/module/kubernetes/state_cronjob/state_cronjob.go b/metricbeat/module/kubernetes/state_cronjob/state_cronjob.go index ffed1e92b67..272dc58aca6 100644 --- a/metricbeat/module/kubernetes/state_cronjob/state_cronjob.go +++ b/metricbeat/module/kubernetes/state_cronjob/state_cronjob.go @@ -74,7 +74,7 @@ func NewCronJobMetricSet(base mb.BaseMetricSet) (mb.MetricSet, error) { }, Labels: map[string]p.LabelMap{ "cronjob": p.KeyLabel("name"), - "namespace": p.KeyLabel(mb.ModuleDataKey + ".namespace.name"), + "namespace": p.KeyLabel(mb.ModuleDataKey + ".namespace"), "schedule": p.KeyLabel("schedule"), "concurrency_policy": p.KeyLabel("concurrency"), }, diff --git a/metricbeat/module/kubernetes/state_daemonset/_meta/data.json b/metricbeat/module/kubernetes/state_daemonset/_meta/data.json index 158d2a34eeb..5856069d568 100644 --- a/metricbeat/module/kubernetes/state_daemonset/_meta/data.json +++ b/metricbeat/module/kubernetes/state_daemonset/_meta/data.json @@ -7,7 +7,7 @@ }, "kubernetes": { "daemonset": { - "name": "kindnet", + "name": "kube-proxy", "replicas": { "available": 1, "desired": 1, @@ -15,9 +15,7 @@ "unavailable": 0 } }, - "namespace": { - "name": "kube-system" - } + "namespace": "kube-system" }, "metricset": { "name": "state_daemonset", diff --git a/metricbeat/module/kubernetes/state_daemonset/_meta/test/ksm.v1.3.0.expected b/metricbeat/module/kubernetes/state_daemonset/_meta/test/ksm.v1.3.0.expected index 73dfd269be2..93e2d068788 100644 --- a/metricbeat/module/kubernetes/state_daemonset/_meta/test/ksm.v1.3.0.expected +++ b/metricbeat/module/kubernetes/state_daemonset/_meta/test/ksm.v1.3.0.expected @@ -2,9 +2,7 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - } + "namespace": "kube-system" }, "MetricSetFields": { "name": "kube-proxy", diff --git a/metricbeat/module/kubernetes/state_daemonset/_meta/test/ksm.v1.8.0.expected b/metricbeat/module/kubernetes/state_daemonset/_meta/test/ksm.v1.8.0.expected index 73dfd269be2..93e2d068788 100644 --- a/metricbeat/module/kubernetes/state_daemonset/_meta/test/ksm.v1.8.0.expected +++ b/metricbeat/module/kubernetes/state_daemonset/_meta/test/ksm.v1.8.0.expected @@ -2,9 +2,7 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - } + "namespace": "kube-system" }, "MetricSetFields": { "name": "kube-proxy", diff --git a/metricbeat/module/kubernetes/state_daemonset/_meta/test/ksm.v2.0.0.expected b/metricbeat/module/kubernetes/state_daemonset/_meta/test/ksm.v2.0.0.expected index ff94aebc50a..fbb6670ecd7 100644 --- a/metricbeat/module/kubernetes/state_daemonset/_meta/test/ksm.v2.0.0.expected +++ b/metricbeat/module/kubernetes/state_daemonset/_meta/test/ksm.v2.0.0.expected @@ -2,12 +2,10 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - } + "namespace": "kube-system" }, "MetricSetFields": { - "name": "kindnet", + "name": "kube-proxy", "replicas": { "available": 3, "desired": 3, @@ -29,16 +27,14 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - } + "namespace": "kube-system" }, "MetricSetFields": { - "name": "kube-proxy", + "name": "metricbeat", "replicas": { - "available": 3, - "desired": 3, - "ready": 3, + "available": 2, + "desired": 2, + "ready": 2, "unavailable": 0 } }, @@ -56,16 +52,14 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - } + "namespace": "kube-system" }, "MetricSetFields": { - "name": "metricbeat", + "name": "kindnet", "replicas": { - "available": 2, - "desired": 2, - "ready": 2, + "available": 3, + "desired": 3, + "ready": 3, "unavailable": 0 } }, diff --git a/metricbeat/module/kubernetes/state_daemonset/_meta/testdata/docs.plain-expected.json b/metricbeat/module/kubernetes/state_daemonset/_meta/testdata/docs.plain-expected.json index a95bd894fb0..9768d8d3928 100644 --- a/metricbeat/module/kubernetes/state_daemonset/_meta/testdata/docs.plain-expected.json +++ b/metricbeat/module/kubernetes/state_daemonset/_meta/testdata/docs.plain-expected.json @@ -7,7 +7,7 @@ }, "kubernetes": { "daemonset": { - "name": "kindnet", + "name": "kube-proxy", "replicas": { "available": 1, "desired": 1, @@ -15,9 +15,7 @@ "unavailable": 0 } }, - "namespace": { - "name": "kube-system" - } + "namespace": "kube-system" }, "metricset": { "name": "state_daemonset", @@ -36,7 +34,7 @@ }, "kubernetes": { "daemonset": { - "name": "kube-proxy", + "name": "kindnet", "replicas": { "available": 1, "desired": 1, @@ -44,9 +42,7 @@ "unavailable": 0 } }, - "namespace": { - "name": "kube-system" - } + "namespace": "kube-system" }, "metricset": { "name": "state_daemonset", diff --git a/metricbeat/module/kubernetes/state_daemonset/state_daemonset.go b/metricbeat/module/kubernetes/state_daemonset/state_daemonset.go index 95e580744b1..1066afa2195 100644 --- a/metricbeat/module/kubernetes/state_daemonset/state_daemonset.go +++ b/metricbeat/module/kubernetes/state_daemonset/state_daemonset.go @@ -50,7 +50,7 @@ var ( Labels: map[string]p.LabelMap{ "daemonset": p.KeyLabel("name"), - "namespace": p.KeyLabel(mb.ModuleDataKey + ".namespace.name"), + "namespace": p.KeyLabel(mb.ModuleDataKey + ".namespace"), }, } ) diff --git a/metricbeat/module/kubernetes/state_deployment/_meta/test/ksm.v1.3.0.expected b/metricbeat/module/kubernetes/state_deployment/_meta/test/ksm.v1.3.0.expected index fa3dbf2df80..b2dce007146 100644 --- a/metricbeat/module/kubernetes/state_deployment/_meta/test/ksm.v1.3.0.expected +++ b/metricbeat/module/kubernetes/state_deployment/_meta/test/ksm.v1.3.0.expected @@ -2,12 +2,10 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - } + "namespace": "kube-system" }, "MetricSetFields": { - "name": "kube-dns", + "name": "kube-state-metrics", "paused": false, "replicas": { "available": 1, @@ -30,9 +28,7 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - } + "namespace": "kube-system" }, "MetricSetFields": { "name": "kubernetes-dashboard", @@ -58,12 +54,10 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - } + "namespace": "kube-system" }, "MetricSetFields": { - "name": "kube-state-metrics", + "name": "kube-dns", "paused": false, "replicas": { "available": 1, diff --git a/metricbeat/module/kubernetes/state_deployment/_meta/test/ksm.v1.8.0.expected b/metricbeat/module/kubernetes/state_deployment/_meta/test/ksm.v1.8.0.expected index b83cb15d7fd..3f1255e36c6 100644 --- a/metricbeat/module/kubernetes/state_deployment/_meta/test/ksm.v1.8.0.expected +++ b/metricbeat/module/kubernetes/state_deployment/_meta/test/ksm.v1.8.0.expected @@ -2,18 +2,16 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - } + "namespace": "kube-system" }, "MetricSetFields": { - "name": "coredns", + "name": "kube-state-metrics", "paused": false, "replicas": { - "available": 2, - "desired": 2, + "available": 1, + "desired": 1, "unavailable": 0, - "updated": 2 + "updated": 1 } }, "Index": "", @@ -30,18 +28,16 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - } + "namespace": "kube-system" }, "MetricSetFields": { - "name": "kube-state-metrics", + "name": "coredns", "paused": false, "replicas": { - "available": 1, - "desired": 1, + "available": 2, + "desired": 2, "unavailable": 0, - "updated": 1 + "updated": 2 } }, "Index": "", diff --git a/metricbeat/module/kubernetes/state_deployment/_meta/test/ksm.v2.0.0.expected b/metricbeat/module/kubernetes/state_deployment/_meta/test/ksm.v2.0.0.expected index 5f0b8c20689..de439f14386 100644 --- a/metricbeat/module/kubernetes/state_deployment/_meta/test/ksm.v2.0.0.expected +++ b/metricbeat/module/kubernetes/state_deployment/_meta/test/ksm.v2.0.0.expected @@ -2,18 +2,16 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - } + "namespace": "kube-system" }, "MetricSetFields": { - "name": "coredns", + "name": "kube-state-metrics", "paused": false, "replicas": { - "available": 2, - "desired": 2, + "available": 1, + "desired": 1, "unavailable": 0, - "updated": 2 + "updated": 1 } }, "Index": "", @@ -30,9 +28,7 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "local-path-storage" - } + "namespace": "local-path-storage" }, "MetricSetFields": { "name": "local-path-provisioner", @@ -58,12 +54,10 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - } + "namespace": "default" }, "MetricSetFields": { - "name": "kube-state-metrics", + "name": "hello-python", "paused": false, "replicas": { "available": 1, @@ -86,18 +80,16 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "default" - } + "namespace": "kube-system" }, "MetricSetFields": { - "name": "hello-python", + "name": "coredns", "paused": false, "replicas": { - "available": 1, - "desired": 1, + "available": 2, + "desired": 2, "unavailable": 0, - "updated": 1 + "updated": 2 } }, "Index": "", diff --git a/metricbeat/module/kubernetes/state_deployment/_meta/testdata/ksm-v1.3.0.plain-expected.json b/metricbeat/module/kubernetes/state_deployment/_meta/testdata/ksm-v1.3.0.plain-expected.json index fabdb0fabb0..19faf98a4ce 100644 --- a/metricbeat/module/kubernetes/state_deployment/_meta/testdata/ksm-v1.3.0.plain-expected.json +++ b/metricbeat/module/kubernetes/state_deployment/_meta/testdata/ksm-v1.3.0.plain-expected.json @@ -7,18 +7,16 @@ }, "kubernetes": { "deployment": { - "name": "jumpy-owl-redis", - "paused": true, + "name": "tiller-deploy", + "paused": false, "replicas": { - "available": 6, - "desired": 2, - "unavailable": 7, - "updated": 8 + "available": 1, + "desired": 1, + "unavailable": 0, + "updated": 1 } }, - "namespace": { - "name": "test" - } + "namespace": "kube-system" }, "metricset": { "name": "state_deployment", @@ -37,18 +35,16 @@ }, "kubernetes": { "deployment": { - "name": "kube-state-metrics", + "name": "wise-lynx-jenkins", "paused": false, "replicas": { "available": 1, - "desired": 2, - "unavailable": 1, - "updated": 2 + "desired": 1, + "unavailable": 0, + "updated": 1 } }, - "namespace": { - "name": "kube-system" - } + "namespace": "jenkins" }, "metricset": { "name": "state_deployment", @@ -68,17 +64,15 @@ "kubernetes": { "deployment": { "name": "jumpy-owl-redis", - "paused": false, + "paused": true, "replicas": { - "available": 0, - "desired": 1, - "unavailable": 1, - "updated": 1 + "available": 6, + "desired": 2, + "unavailable": 7, + "updated": 8 } }, - "namespace": { - "name": "default" - } + "namespace": "test" }, "metricset": { "name": "state_deployment", @@ -97,18 +91,16 @@ }, "kubernetes": { "deployment": { - "name": "tiller-deploy", + "name": "jumpy-owl-redis", "paused": false, "replicas": { - "available": 1, + "available": 0, "desired": 1, - "unavailable": 0, + "unavailable": 1, "updated": 1 } }, - "namespace": { - "name": "kube-system" - } + "namespace": "default" }, "metricset": { "name": "state_deployment", @@ -127,18 +119,16 @@ }, "kubernetes": { "deployment": { - "name": "wise-lynx-jenkins", + "name": "kube-state-metrics", "paused": false, "replicas": { "available": 1, - "desired": 1, - "unavailable": 0, - "updated": 1 + "desired": 2, + "unavailable": 1, + "updated": 2 } }, - "namespace": { - "name": "jenkins" - } + "namespace": "kube-system" }, "metricset": { "name": "state_deployment", diff --git a/metricbeat/module/kubernetes/state_deployment/_meta/testdata/ksm-v1.8.0.plain-expected.json b/metricbeat/module/kubernetes/state_deployment/_meta/testdata/ksm-v1.8.0.plain-expected.json index bfc922814ee..b766e4068f4 100644 --- a/metricbeat/module/kubernetes/state_deployment/_meta/testdata/ksm-v1.8.0.plain-expected.json +++ b/metricbeat/module/kubernetes/state_deployment/_meta/testdata/ksm-v1.8.0.plain-expected.json @@ -7,7 +7,7 @@ }, "kubernetes": { "deployment": { - "name": "springboot-cr-applier", + "name": "metricbeat", "paused": false, "replicas": { "available": 1, @@ -16,9 +16,7 @@ "updated": 1 } }, - "namespace": { - "name": "telenet-cluster-ops" - } + "namespace": "openshift-logging" }, "metricset": { "name": "state_deployment", @@ -37,7 +35,7 @@ }, "kubernetes": { "deployment": { - "name": "namespace-operator", + "name": "springboot-operator", "paused": false, "replicas": { "available": 1, @@ -46,9 +44,7 @@ "updated": 1 } }, - "namespace": { - "name": "telenet-operators" - } + "namespace": "bi" }, "metricset": { "name": "state_deployment", @@ -67,7 +63,7 @@ }, "kubernetes": { "deployment": { - "name": "jenkins-operator", + "name": "tiller", "paused": false, "replicas": { "available": 1, @@ -76,9 +72,7 @@ "updated": 1 } }, - "namespace": { - "name": "devops-playground" - } + "namespace": "tiller" }, "metricset": { "name": "state_deployment", @@ -97,18 +91,16 @@ }, "kubernetes": { "deployment": { - "name": "kube-state-metrics", + "name": "jenkins-operator", "paused": false, "replicas": { - "available": 1, - "desired": 1, + "available": 0, + "desired": 0, "unavailable": 0, - "updated": 1 + "updated": 0 } }, - "namespace": { - "name": "openshift-monitoring" - } + "namespace": "adc-vault" }, "metricset": { "name": "state_deployment", @@ -127,18 +119,16 @@ }, "kubernetes": { "deployment": { - "name": "webconsole", + "name": "jenkins-operator", "paused": false, "replicas": { - "available": 3, - "desired": 3, + "available": 1, + "desired": 1, "unavailable": 0, - "updated": 3 + "updated": 1 } }, - "namespace": { - "name": "openshift-web-console" - } + "namespace": "paas-demo" }, "metricset": { "name": "state_deployment", @@ -157,7 +147,7 @@ }, "kubernetes": { "deployment": { - "name": "springboot-operator", + "name": "springboot-cr-applier", "paused": false, "replicas": { "available": 1, @@ -166,9 +156,7 @@ "updated": 1 } }, - "namespace": { - "name": "gdpr" - } + "namespace": "telenet-cluster-ops" }, "metricset": { "name": "state_deployment", @@ -196,9 +184,7 @@ "updated": 1 } }, - "namespace": { - "name": "edev-communication" - } + "namespace": "paas-demo" }, "metricset": { "name": "state_deployment", @@ -217,7 +203,7 @@ }, "kubernetes": { "deployment": { - "name": "jenkins-operator", + "name": "springboot-operator", "paused": false, "replicas": { "available": 1, @@ -226,9 +212,7 @@ "updated": 1 } }, - "namespace": { - "name": "telenet-baseimages" - } + "namespace": "edev-communication" }, "metricset": { "name": "state_deployment", @@ -247,7 +231,7 @@ }, "kubernetes": { "deployment": { - "name": "jenkins-operator", + "name": "kube-state-metrics", "paused": false, "replicas": { "available": 1, @@ -256,9 +240,7 @@ "updated": 1 } }, - "namespace": { - "name": "bi" - } + "namespace": "openshift-logging" }, "metricset": { "name": "state_deployment", @@ -277,7 +259,7 @@ }, "kubernetes": { "deployment": { - "name": "dynatrace-oneagent-operator", + "name": "jenkins-operator", "paused": false, "replicas": { "available": 1, @@ -286,9 +268,7 @@ "updated": 1 } }, - "namespace": { - "name": "dynatrace" - } + "namespace": "devops-playground" }, "metricset": { "name": "state_deployment", @@ -316,9 +296,7 @@ "updated": 1 } }, - "namespace": { - "name": "darwin-integrations" - } + "namespace": "edev-tools" }, "metricset": { "name": "state_deployment", @@ -346,9 +324,7 @@ "updated": 1 } }, - "namespace": { - "name": "paas-demo" - } + "namespace": "devops-playground" }, "metricset": { "name": "state_deployment", @@ -376,9 +352,7 @@ "updated": 1 } }, - "namespace": { - "name": "openshift-monitoring" - } + "namespace": "openshift-monitoring" }, "metricset": { "name": "state_deployment", @@ -397,18 +371,16 @@ }, "kubernetes": { "deployment": { - "name": "jenkins-cr-applier", + "name": "tiller-deploy", "paused": false, "replicas": { - "available": 1, + "available": 0, "desired": 1, - "unavailable": 0, + "unavailable": 1, "updated": 1 } }, - "namespace": { - "name": "telenet-cluster-ops" - } + "namespace": "tiller" }, "metricset": { "name": "state_deployment", @@ -427,18 +399,16 @@ }, "kubernetes": { "deployment": { - "name": "tiller-deploy", + "name": "jenkins-operator", "paused": false, "replicas": { - "available": 0, + "available": 1, "desired": 1, - "unavailable": 1, + "unavailable": 0, "updated": 1 } }, - "namespace": { - "name": "tiller" - } + "namespace": "darwin-integrations" }, "metricset": { "name": "state_deployment", @@ -457,18 +427,16 @@ }, "kubernetes": { "deployment": { - "name": "elasticsearch", + "name": "jenkins-operator", "paused": false, "replicas": { - "available": 0, + "available": 1, "desired": 1, - "unavailable": 1, + "unavailable": 0, "updated": 1 } }, - "namespace": { - "name": "test-config" - } + "namespace": "edev-communication" }, "metricset": { "name": "state_deployment", @@ -487,18 +455,16 @@ }, "kubernetes": { "deployment": { - "name": "jenkins-operator", + "name": "webconsole", "paused": false, "replicas": { - "available": 0, - "desired": 0, + "available": 3, + "desired": 3, "unavailable": 0, - "updated": 0 + "updated": 3 } }, - "namespace": { - "name": "adc-vault" - } + "namespace": "openshift-web-console" }, "metricset": { "name": "state_deployment", @@ -517,7 +483,7 @@ }, "kubernetes": { "deployment": { - "name": "springboot-operator", + "name": "console", "paused": false, "replicas": { "available": 1, @@ -526,9 +492,7 @@ "updated": 1 } }, - "namespace": { - "name": "edev-tools" - } + "namespace": "openshift-console" }, "metricset": { "name": "state_deployment", @@ -547,7 +511,7 @@ }, "kubernetes": { "deployment": { - "name": "springboot-operator", + "name": "jenkins-operator", "paused": false, "replicas": { "available": 1, @@ -556,9 +520,7 @@ "updated": 1 } }, - "namespace": { - "name": "devops-playground" - } + "namespace": "gdpr" }, "metricset": { "name": "state_deployment", @@ -577,7 +539,7 @@ }, "kubernetes": { "deployment": { - "name": "cluster-monitoring-operator", + "name": "jenkins-cr-applier", "paused": false, "replicas": { "available": 1, @@ -586,9 +548,7 @@ "updated": 1 } }, - "namespace": { - "name": "openshift-monitoring" - } + "namespace": "telenet-cluster-ops" }, "metricset": { "name": "state_deployment", @@ -607,7 +567,7 @@ }, "kubernetes": { "deployment": { - "name": "jenkins-operator", + "name": "namespace-operator", "paused": false, "replicas": { "available": 1, @@ -616,9 +576,7 @@ "updated": 1 } }, - "namespace": { - "name": "paas-demo" - } + "namespace": "telenet-operators" }, "metricset": { "name": "state_deployment", @@ -637,7 +595,7 @@ }, "kubernetes": { "deployment": { - "name": "springboot-operator", + "name": "jenkins-operator", "paused": false, "replicas": { "available": 1, @@ -646,9 +604,7 @@ "updated": 1 } }, - "namespace": { - "name": "bi" - } + "namespace": "telenet-baseimages" }, "metricset": { "name": "state_deployment", @@ -667,7 +623,7 @@ }, "kubernetes": { "deployment": { - "name": "console", + "name": "cluster-monitoring-operator", "paused": false, "replicas": { "available": 1, @@ -676,9 +632,7 @@ "updated": 1 } }, - "namespace": { - "name": "openshift-console" - } + "namespace": "openshift-monitoring" }, "metricset": { "name": "state_deployment", @@ -697,18 +651,16 @@ }, "kubernetes": { "deployment": { - "name": "kibana-kibana", + "name": "springboot-operator", "paused": false, "replicas": { - "available": 0, - "desired": 0, + "available": 1, + "desired": 1, "unavailable": 0, - "updated": 0 + "updated": 1 } }, - "namespace": { - "name": "kibana-tst" - } + "namespace": "darwin-integrations" }, "metricset": { "name": "state_deployment", @@ -727,7 +679,7 @@ }, "kubernetes": { "deployment": { - "name": "jenkins-operator", + "name": "kibana", "paused": false, "replicas": { "available": 1, @@ -736,9 +688,7 @@ "updated": 1 } }, - "namespace": { - "name": "edev-tools" - } + "namespace": "test-config" }, "metricset": { "name": "state_deployment", @@ -757,7 +707,7 @@ }, "kubernetes": { "deployment": { - "name": "jenkins-operator", + "name": "dynatrace-oneagent-operator", "paused": false, "replicas": { "available": 1, @@ -766,9 +716,7 @@ "updated": 1 } }, - "namespace": { - "name": "edev-communication" - } + "namespace": "dynatrace" }, "metricset": { "name": "state_deployment", @@ -787,7 +735,7 @@ }, "kubernetes": { "deployment": { - "name": "kube-state-metrics", + "name": "springboot-operator", "paused": false, "replicas": { "available": 1, @@ -796,9 +744,7 @@ "updated": 1 } }, - "namespace": { - "name": "openshift-logging" - } + "namespace": "edev-tools" }, "metricset": { "name": "state_deployment", @@ -817,7 +763,7 @@ }, "kubernetes": { "deployment": { - "name": "grafana", + "name": "sonarqube-operator", "paused": false, "replicas": { "available": 1, @@ -826,9 +772,7 @@ "updated": 1 } }, - "namespace": { - "name": "openshift-monitoring" - } + "namespace": "devops-playground" }, "metricset": { "name": "state_deployment", @@ -847,7 +791,7 @@ }, "kubernetes": { "deployment": { - "name": "weblogic-operator", + "name": "grafana", "paused": false, "replicas": { "available": 1, @@ -856,9 +800,7 @@ "updated": 1 } }, - "namespace": { - "name": "weblogic-poc" - } + "namespace": "openshift-monitoring" }, "metricset": { "name": "state_deployment", @@ -877,18 +819,16 @@ }, "kubernetes": { "deployment": { - "name": "jenkins-operator", + "name": "kibana-kibana", "paused": false, "replicas": { - "available": 1, - "desired": 1, + "available": 0, + "desired": 0, "unavailable": 0, - "updated": 1 + "updated": 0 } }, - "namespace": { - "name": "gdpr" - } + "namespace": "kibana-tst" }, "metricset": { "name": "state_deployment", @@ -907,7 +847,7 @@ }, "kubernetes": { "deployment": { - "name": "sonarqube-operator", + "name": "kube-state-metrics", "paused": false, "replicas": { "available": 1, @@ -916,9 +856,7 @@ "updated": 1 } }, - "namespace": { - "name": "devops-playground" - } + "namespace": "openshift-monitoring" }, "metricset": { "name": "state_deployment", @@ -937,18 +875,16 @@ }, "kubernetes": { "deployment": { - "name": "kibana", + "name": "elasticsearch", "paused": false, "replicas": { - "available": 1, + "available": 0, "desired": 1, - "unavailable": 0, + "unavailable": 1, "updated": 1 } }, - "namespace": { - "name": "test-config" - } + "namespace": "test-config" }, "metricset": { "name": "state_deployment", @@ -976,9 +912,7 @@ "updated": 1 } }, - "namespace": { - "name": "darwin-integrations" - } + "namespace": "gdpr" }, "metricset": { "name": "state_deployment", @@ -997,7 +931,7 @@ }, "kubernetes": { "deployment": { - "name": "tiller", + "name": "jenkins-operator", "paused": false, "replicas": { "available": 1, @@ -1006,9 +940,7 @@ "updated": 1 } }, - "namespace": { - "name": "tiller" - } + "namespace": "bi" }, "metricset": { "name": "state_deployment", @@ -1027,7 +959,7 @@ }, "kubernetes": { "deployment": { - "name": "metricbeat", + "name": "weblogic-operator", "paused": false, "replicas": { "available": 1, @@ -1036,9 +968,7 @@ "updated": 1 } }, - "namespace": { - "name": "openshift-logging" - } + "namespace": "weblogic-poc" }, "metricset": { "name": "state_deployment", diff --git a/metricbeat/module/kubernetes/state_deployment/state_deployment.go b/metricbeat/module/kubernetes/state_deployment/state_deployment.go index 6b440baa2b9..02448afdc9a 100644 --- a/metricbeat/module/kubernetes/state_deployment/state_deployment.go +++ b/metricbeat/module/kubernetes/state_deployment/state_deployment.go @@ -51,7 +51,7 @@ var ( Labels: map[string]p.LabelMap{ "deployment": p.KeyLabel("name"), - "namespace": p.KeyLabel(mb.ModuleDataKey + ".namespace.name"), + "namespace": p.KeyLabel(mb.ModuleDataKey + ".namespace"), }, } ) diff --git a/metricbeat/module/kubernetes/state_job/_meta/test/ksm.v1.8.0.expected b/metricbeat/module/kubernetes/state_job/_meta/test/ksm.v1.8.0.expected index 5b40b8ece05..8822378f36d 100644 --- a/metricbeat/module/kubernetes/state_job/_meta/test/ksm.v1.8.0.expected +++ b/metricbeat/module/kubernetes/state_job/_meta/test/ksm.v1.8.0.expected @@ -2,9 +2,7 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "default" - } + "namespace": "default" }, "MetricSetFields": { "completions": { diff --git a/metricbeat/module/kubernetes/state_job/_meta/test/ksm.v2.0.0.expected b/metricbeat/module/kubernetes/state_job/_meta/test/ksm.v2.0.0.expected index 484d805c3a0..c9110a37ed0 100644 --- a/metricbeat/module/kubernetes/state_job/_meta/test/ksm.v2.0.0.expected +++ b/metricbeat/module/kubernetes/state_job/_meta/test/ksm.v2.0.0.expected @@ -2,9 +2,7 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "default" - } + "namespace": "default" }, "MetricSetFields": { "completions": { diff --git a/metricbeat/module/kubernetes/state_job/_meta/testdata/kube-state-metrics-v1.8.0.plain-expected.json b/metricbeat/module/kubernetes/state_job/_meta/testdata/kube-state-metrics-v1.8.0.plain-expected.json index 926fc60faaa..afa859bc418 100644 --- a/metricbeat/module/kubernetes/state_job/_meta/testdata/kube-state-metrics-v1.8.0.plain-expected.json +++ b/metricbeat/module/kubernetes/state_job/_meta/testdata/kube-state-metrics-v1.8.0.plain-expected.json @@ -10,7 +10,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-ok-cron-27075628", + "name": "sleep-30-ok-cron-27075645", "owner": { "is_controller": "true", "kind": "CronJob", @@ -25,12 +25,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:28:00.000Z" + "created": "2021-06-24T12:45:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -50,33 +48,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-ok-cron-27075625", + "name": "sleep-5-parallel-cron-27075617", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-ok-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 0, + "active": 5, "failed": 0, - "succeeded": 1 - }, - "status": { - "complete": "true" + "succeeded": 0 }, "time": { - "completed": "2021-06-24T12:37:03.000Z", - "created": "2021-06-24T12:25:00.000Z" + "created": "2021-06-24T12:17:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -96,29 +88,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075641", + "name": "sleep-30-fail-cron-27075644", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { - "active": 5, + "active": 1, "failed": 0, "succeeded": 0 }, "time": { - "created": "2021-06-24T12:41:00.000Z" + "created": "2021-06-24T12:44:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -140,7 +130,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075644", + "name": "sleep-30-fail-cron-27075549", "owner": { "is_controller": "true", "kind": "CronJob", @@ -155,12 +145,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:44:00.000Z" + "created": "2021-06-24T11:09:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -182,11 +170,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075618", + "name": "sleep-30-ok-cron-27075638", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-30-ok-cron" }, "parallelism": { "desired": 1 @@ -197,12 +185,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:18:00.000Z" + "created": "2021-06-24T12:38:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -222,29 +208,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-ok-cron-27075618", + "name": "sleep-5-parallel-cron-27075639", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-ok-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 1, + "active": 5, "failed": 0, "succeeded": 0 }, "time": { - "created": "2021-06-24T12:18:00.000Z" + "created": "2021-06-24T12:39:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -266,7 +250,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075622", + "name": "sleep-30-fail-cron-27075535", "owner": { "is_controller": "true", "kind": "CronJob", @@ -281,12 +265,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:22:00.000Z" + "created": "2021-06-24T10:55:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -306,29 +288,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-ok-cron-27075617", + "name": "sleep-5-parallel-cron-27075551", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-ok-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 1, + "active": 2, "failed": 0, - "succeeded": 0 + "succeeded": 18 }, "time": { - "created": "2021-06-24T12:17:00.000Z" + "created": "2021-06-24T11:11:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -350,7 +330,7 @@ "completions": { "desired": 20 }, - "name": "sleep-5-parallel-cron-27075639", + "name": "sleep-5-parallel-cron-27075623", "owner": { "is_controller": "true", "kind": "CronJob", @@ -360,17 +340,15 @@ "desired": 5 }, "pods": { - "active": 5, + "active": 1, "failed": 0, - "succeeded": 0 + "succeeded": 19 }, "time": { - "created": "2021-06-24T12:39:00.000Z" + "created": "2021-06-24T12:23:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -392,7 +370,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-ok-cron-27075590", + "name": "sleep-30-ok-cron-27075592", "owner": { "is_controller": "true", "kind": "CronJob", @@ -407,12 +385,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T11:50:00.000Z" + "created": "2021-06-24T11:52:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -432,29 +408,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075622", + "name": "sleep-30-fail-cron-27075584", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { - "active": 5, + "active": 1, "failed": 0, - "succeeded": 2 + "succeeded": 0 }, "time": { - "created": "2021-06-24T12:22:00.000Z" + "created": "2021-06-24T11:44:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -476,7 +450,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-ok-cron-27075627", + "name": "sleep-30-ok-cron-27075642", "owner": { "is_controller": "true", "kind": "CronJob", @@ -486,21 +460,15 @@ "desired": 1 }, "pods": { - "active": 0, + "active": 1, "failed": 0, - "succeeded": 1 - }, - "status": { - "complete": "true" + "succeeded": 0 }, "time": { - "completed": "2021-06-24T12:32:20.000Z", - "created": "2021-06-24T12:27:00.000Z" + "created": "2021-06-24T12:42:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -520,19 +488,19 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-ok-cron-27075643", + "name": "sleep-5-parallel-cron-27075643", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-ok-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 1, + "active": 5, "failed": 0, "succeeded": 0 }, @@ -540,9 +508,7 @@ "created": "2021-06-24T12:43:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -564,7 +530,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075625", + "name": "sleep-30-fail-cron-27075536", "owner": { "is_controller": "true", "kind": "CronJob", @@ -579,12 +545,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:25:00.000Z" + "created": "2021-06-24T10:56:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -606,7 +570,7 @@ "completions": { "desired": 20 }, - "name": "sleep-5-parallel-cron-27075644", + "name": "sleep-5-parallel-cron-27075630", "owner": { "is_controller": "true", "kind": "CronJob", @@ -621,12 +585,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:44:00.000Z" + "created": "2021-06-24T12:30:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -646,29 +608,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-ok-cron-27075610", + "name": "sleep-5-parallel-cron-27075626", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-ok-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 1, + "active": 5, "failed": 0, - "succeeded": 0 + "succeeded": 2 }, "time": { - "created": "2021-06-24T12:10:00.000Z" + "created": "2021-06-24T12:26:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -688,29 +648,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075628", + "name": "sleep-30-fail-cron-27075610", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { - "active": 5, + "active": 1, "failed": 0, "succeeded": 0 }, "time": { - "created": "2021-06-24T12:28:00.000Z" + "created": "2021-06-24T12:10:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -732,11 +690,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075632", + "name": "sleep-30-ok-cron-27075618", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-30-ok-cron" }, "parallelism": { "desired": 1 @@ -747,12 +705,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:32:00.000Z" + "created": "2021-06-24T12:18:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -772,29 +728,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-fail-cron-27075612", + "name": "sleep-5-parallel-cron-27075608", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { "active": 1, "failed": 0, - "succeeded": 0 + "succeeded": 19 }, "time": { - "created": "2021-06-24T12:12:00.000Z" + "created": "2021-06-24T12:08:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -814,29 +768,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-ok-cron-27075633", + "name": "sleep-5-parallel-cron-27075622", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-ok-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 1, + "active": 5, "failed": 0, - "succeeded": 0 + "succeeded": 2 }, "time": { - "created": "2021-06-24T12:33:00.000Z" + "created": "2021-06-24T12:22:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -858,7 +810,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075615", + "name": "sleep-30-fail-cron-27075591", "owner": { "is_controller": "true", "kind": "CronJob", @@ -873,12 +825,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:15:00.000Z" + "created": "2021-06-24T11:51:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -900,11 +850,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-ok-cron-27075621", + "name": "sleep-30-fail-cron-27075598", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-ok-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { "desired": 1 @@ -915,12 +865,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:21:00.000Z" + "created": "2021-06-24T11:58:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -940,29 +888,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-fail-cron-27075591", + "name": "sleep-5-parallel-cron-27075636", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 1, + "active": 5, "failed": 0, - "succeeded": 0 + "succeeded": 4 }, "time": { - "created": "2021-06-24T11:51:00.000Z" + "created": "2021-06-24T12:36:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -984,11 +930,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-ok-cron-27075639", + "name": "sleep-30-fail-cron-27075645", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-ok-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { "desired": 1 @@ -999,12 +945,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:39:00.000Z" + "created": "2021-06-24T12:45:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -1026,27 +970,29 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075638", + "name": "sleep-30-ok-cron-27075629", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-30-ok-cron" }, "parallelism": { "desired": 1 }, "pods": { - "active": 1, + "active": 0, "failed": 0, - "succeeded": 0 + "succeeded": 1 + }, + "status": { + "complete": "true" }, "time": { - "created": "2021-06-24T12:38:00.000Z" + "completed": "2021-06-24T12:42:50.000Z", + "created": "2021-06-24T12:29:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -1066,29 +1012,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-ok-cron-27075641", + "name": "sleep-5-parallel-cron-27075604", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-ok-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { "active": 1, "failed": 0, - "succeeded": 0 + "succeeded": 19 }, "time": { - "created": "2021-06-24T12:41:00.000Z" + "created": "2021-06-24T12:04:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -1108,29 +1052,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-ok-cron-27075636", + "name": "sleep-5-parallel-cron-27075591", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-ok-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { "active": 1, "failed": 0, - "succeeded": 0 + "succeeded": 19 }, "time": { - "created": "2021-06-24T12:36:00.000Z" + "created": "2021-06-24T11:51:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -1150,29 +1092,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-fail-cron-27075605", + "name": "sleep-5-parallel-cron-27075645", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 1, + "active": 5, "failed": 0, "succeeded": 0 }, "time": { - "created": "2021-06-24T12:05:00.000Z" + "created": "2021-06-24T12:45:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -1194,11 +1134,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-ok-cron-27075634", + "name": "sleep-30-fail-cron-27075625", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-ok-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { "desired": 1 @@ -1209,12 +1149,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:34:00.000Z" + "created": "2021-06-24T12:25:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -1236,7 +1174,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075547", + "name": "sleep-30-fail-cron-27075639", "owner": { "is_controller": "true", "kind": "CronJob", @@ -1251,12 +1189,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T11:07:00.000Z" + "created": "2021-06-24T12:39:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -1278,11 +1214,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-ok-cron-27075592", + "name": "sleep-30-fail-cron-27075636", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-ok-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { "desired": 1 @@ -1293,12 +1229,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T11:52:00.000Z" + "created": "2021-06-24T12:36:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -1318,29 +1252,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075601", + "name": "sleep-30-fail-cron-27075615", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { - "active": 3, + "active": 1, "failed": 0, - "succeeded": 17 + "succeeded": 0 }, "time": { - "created": "2021-06-24T12:01:00.000Z" + "created": "2021-06-24T12:15:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -1362,7 +1294,7 @@ "completions": { "desired": 20 }, - "name": "sleep-5-parallel-cron-27075603", + "name": "sleep-5-parallel-cron-27075641", "owner": { "is_controller": "true", "kind": "CronJob", @@ -1372,17 +1304,15 @@ "desired": 5 }, "pods": { - "active": 1, + "active": 5, "failed": 0, - "succeeded": 19 + "succeeded": 0 }, "time": { - "created": "2021-06-24T12:03:00.000Z" + "created": "2021-06-24T12:41:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -1402,33 +1332,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075613", + "name": "sleep-30-ok-cron-27075621", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-ok-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { - "active": 0, + "active": 1, "failed": 0, - "succeeded": 20 - }, - "status": { - "complete": "true" + "succeeded": 0 }, "time": { - "completed": "2021-06-24T12:28:39.000Z", - "created": "2021-06-24T12:13:00.000Z" + "created": "2021-06-24T12:21:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -1448,29 +1372,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075626", + "name": "sleep-30-ok-cron-27075623", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-ok-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { - "active": 5, + "active": 1, "failed": 0, - "succeeded": 2 + "succeeded": 0 }, "time": { - "created": "2021-06-24T12:26:00.000Z" + "created": "2021-06-24T12:23:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -1490,29 +1412,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-fail-cron-27075576", + "name": "sleep-5-parallel-cron-27075563", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 1, + "active": 2, "failed": 0, - "succeeded": 0 + "succeeded": 18 }, "time": { - "created": "2021-06-24T11:36:00.000Z" + "created": "2021-06-24T11:23:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -1534,11 +1454,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-ok-cron-27075547", + "name": "sleep-30-fail-cron-27075612", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-ok-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { "desired": 1 @@ -1549,12 +1469,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T11:07:00.000Z" + "created": "2021-06-24T12:12:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -1576,7 +1494,7 @@ "completions": { "desired": 20 }, - "name": "sleep-5-parallel-cron-27075615", + "name": "sleep-5-parallel-cron-27075634", "owner": { "is_controller": "true", "kind": "CronJob", @@ -1586,21 +1504,15 @@ "desired": 5 }, "pods": { - "active": 0, + "active": 5, "failed": 0, - "succeeded": 20 - }, - "status": { - "complete": "true" + "succeeded": 1 }, "time": { - "completed": "2021-06-24T12:33:19.000Z", - "created": "2021-06-24T12:15:00.000Z" + "created": "2021-06-24T12:34:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -1620,29 +1532,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-fail-cron-27075628", + "name": "sleep-5-parallel-cron-27075590", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { "active": 1, "failed": 0, - "succeeded": 0 + "succeeded": 19 }, "time": { - "created": "2021-06-24T12:28:00.000Z" + "created": "2021-06-24T11:50:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -1664,11 +1574,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-ok-cron-27075640", + "name": "sleep-30-fail-cron-27075621", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-ok-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { "desired": 1 @@ -1679,12 +1589,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:40:00.000Z" + "created": "2021-06-24T12:21:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -1706,7 +1614,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-ok-cron-27075642", + "name": "sleep-30-ok-cron-27075639", "owner": { "is_controller": "true", "kind": "CronJob", @@ -1721,12 +1629,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:42:00.000Z" + "created": "2021-06-24T12:39:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -1746,29 +1652,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075630", + "name": "sleep-30-fail-cron-27075594", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { - "active": 5, + "active": 1, "failed": 0, "succeeded": 0 }, "time": { - "created": "2021-06-24T12:30:00.000Z" + "created": "2021-06-24T11:54:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -1790,7 +1694,7 @@ "completions": { "desired": 20 }, - "name": "sleep-5-parallel-cron-27075635", + "name": "sleep-5-parallel-cron-27075631", "owner": { "is_controller": "true", "kind": "CronJob", @@ -1802,15 +1706,13 @@ "pods": { "active": 5, "failed": 0, - "succeeded": 0 + "succeeded": 3 }, "time": { - "created": "2021-06-24T12:35:00.000Z" + "created": "2021-06-24T12:31:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -1830,29 +1732,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075621", + "name": "sleep-30-ok-cron-27075535", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-ok-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { - "active": 5, + "active": 1, "failed": 0, - "succeeded": 1 + "succeeded": 0 }, "time": { - "created": "2021-06-24T12:21:00.000Z" + "created": "2021-06-24T10:55:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -1874,11 +1774,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-ok-cron-27075646", + "name": "sleep-30-fail-cron-27075631", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-ok-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { "desired": 1 @@ -1889,12 +1789,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:46:00.000Z" + "created": "2021-06-24T12:31:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -1916,7 +1814,7 @@ "completions": { "desired": 20 }, - "name": "sleep-5-parallel-cron-27075584", + "name": "sleep-5-parallel-cron-27075629", "owner": { "is_controller": "true", "kind": "CronJob", @@ -1926,17 +1824,15 @@ "desired": 5 }, "pods": { - "active": 2, + "active": 5, "failed": 0, - "succeeded": 18 + "succeeded": 6 }, "time": { - "created": "2021-06-24T11:44:00.000Z" + "created": "2021-06-24T12:29:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -1958,7 +1854,7 @@ "completions": { "desired": 20 }, - "name": "sleep-5-parallel-cron-27075604", + "name": "sleep-5-parallel-cron-27075633", "owner": { "is_controller": "true", "kind": "CronJob", @@ -1968,17 +1864,15 @@ "desired": 5 }, "pods": { - "active": 1, + "active": 5, "failed": 0, - "succeeded": 19 + "succeeded": 0 }, "time": { - "created": "2021-06-24T12:04:00.000Z" + "created": "2021-06-24T12:33:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -2000,7 +1894,7 @@ "completions": { "desired": 20 }, - "name": "sleep-5-parallel-cron-27075585", + "name": "sleep-5-parallel-cron-27075616", "owner": { "is_controller": "true", "kind": "CronJob", @@ -2010,17 +1904,15 @@ "desired": 5 }, "pods": { - "active": 5, + "active": 1, "failed": 0, - "succeeded": 10 + "succeeded": 19 }, "time": { - "created": "2021-06-24T11:45:00.000Z" + "created": "2021-06-24T12:16:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -2042,11 +1934,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075603", + "name": "sleep-30-ok-cron-27075637", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-30-ok-cron" }, "parallelism": { "desired": 1 @@ -2057,12 +1949,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:03:00.000Z" + "created": "2021-06-24T12:37:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -2084,7 +1974,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075619", + "name": "sleep-30-fail-cron-27075616", "owner": { "is_controller": "true", "kind": "CronJob", @@ -2099,12 +1989,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:19:00.000Z" + "created": "2021-06-24T12:16:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -2126,7 +2014,7 @@ "completions": { "desired": 20 }, - "name": "sleep-5-parallel-cron-27075620", + "name": "sleep-5-parallel-cron-27075615", "owner": { "is_controller": "true", "kind": "CronJob", @@ -2144,13 +2032,11 @@ "complete": "true" }, "time": { - "completed": "2021-06-24T12:37:24.000Z", - "created": "2021-06-24T12:20:00.000Z" + "completed": "2021-06-24T12:33:19.000Z", + "created": "2021-06-24T12:15:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -2172,7 +2058,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-ok-cron-27075630", + "name": "sleep-30-ok-cron-27075627", "owner": { "is_controller": "true", "kind": "CronJob", @@ -2182,17 +2068,19 @@ "desired": 1 }, "pods": { - "active": 1, + "active": 0, "failed": 0, - "succeeded": 0 + "succeeded": 1 + }, + "status": { + "complete": "true" }, "time": { - "created": "2021-06-24T12:30:00.000Z" + "completed": "2021-06-24T12:32:20.000Z", + "created": "2021-06-24T12:27:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -2214,7 +2102,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075634", + "name": "sleep-30-fail-cron-27075611", "owner": { "is_controller": "true", "kind": "CronJob", @@ -2229,12 +2117,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:34:00.000Z" + "created": "2021-06-24T12:11:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -2256,31 +2142,25 @@ "completions": { "desired": 1 }, - "name": "sleep-30-ok-cron-27075629", + "name": "sleep-30-fail-cron-27075593", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-ok-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { "desired": 1 }, "pods": { - "active": 0, + "active": 1, "failed": 0, - "succeeded": 1 - }, - "status": { - "complete": "true" + "succeeded": 0 }, "time": { - "completed": "2021-06-24T12:42:50.000Z", - "created": "2021-06-24T12:29:00.000Z" + "created": "2021-06-24T11:53:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -2302,11 +2182,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-ok-cron-27075594", + "name": "sleep-30-fail-cron-27075641", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-ok-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { "desired": 1 @@ -2317,12 +2197,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T11:54:00.000Z" + "created": "2021-06-24T12:41:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -2342,29 +2220,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075532", + "name": "sleep-30-fail-cron-27075628", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { - "active": 2, + "active": 1, "failed": 0, - "succeeded": 18 + "succeeded": 0 }, "time": { - "created": "2021-06-24T10:52:00.000Z" + "created": "2021-06-24T12:28:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -2384,29 +2260,31 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075612", + "name": "sleep-30-ok-cron-27075625", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-ok-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { - "active": 5, + "active": 0, "failed": 0, "succeeded": 1 }, + "status": { + "complete": "true" + }, "time": { - "created": "2021-06-24T12:12:00.000Z" + "completed": "2021-06-24T12:37:03.000Z", + "created": "2021-06-24T12:25:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -2428,7 +2306,7 @@ "completions": { "desired": 20 }, - "name": "sleep-5-parallel-cron-27075610", + "name": "sleep-5-parallel-cron-27075585", "owner": { "is_controller": "true", "kind": "CronJob", @@ -2438,17 +2316,15 @@ "desired": 5 }, "pods": { - "active": 3, + "active": 5, "failed": 0, - "succeeded": 17 + "succeeded": 10 }, "time": { - "created": "2021-06-24T12:10:00.000Z" + "created": "2021-06-24T11:45:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -2470,11 +2346,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-ok-cron-27075536", + "name": "sleep-30-fail-cron-27075601", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-ok-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { "desired": 1 @@ -2485,12 +2361,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T10:56:00.000Z" + "created": "2021-06-24T12:01:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -2512,7 +2386,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075636", + "name": "sleep-30-fail-cron-27075614", "owner": { "is_controller": "true", "kind": "CronJob", @@ -2527,12 +2401,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:36:00.000Z" + "created": "2021-06-24T12:14:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -2552,29 +2424,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-fail-cron-27075549", + "name": "sleep-5-parallel-cron-27075644", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 1, + "active": 5, "failed": 0, "succeeded": 0 }, "time": { - "created": "2021-06-24T11:09:00.000Z" + "created": "2021-06-24T12:44:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -2596,7 +2466,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075640", + "name": "sleep-30-fail-cron-27075617", "owner": { "is_controller": "true", "kind": "CronJob", @@ -2611,12 +2481,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:40:00.000Z" + "created": "2021-06-24T12:17:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -2636,29 +2504,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075592", + "name": "sleep-30-ok-cron-27075601", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-ok-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { "active": 1, "failed": 0, - "succeeded": 19 + "succeeded": 0 }, "time": { - "created": "2021-06-24T11:52:00.000Z" + "created": "2021-06-24T12:01:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -2678,29 +2544,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-fail-cron-27075598", + "name": "sleep-5-parallel-cron-27075628", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 1, + "active": 5, "failed": 0, "succeeded": 0 }, "time": { - "created": "2021-06-24T11:58:00.000Z" + "created": "2021-06-24T12:28:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -2722,11 +2586,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-ok-cron-27075631", + "name": "sleep-30-fail-cron-27075605", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-ok-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { "desired": 1 @@ -2737,12 +2601,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:31:00.000Z" + "created": "2021-06-24T12:05:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -2764,11 +2626,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075609", + "name": "sleep-30-ok-cron-27075646", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-30-ok-cron" }, "parallelism": { "desired": 1 @@ -2779,12 +2641,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:09:00.000Z" + "created": "2021-06-24T12:46:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -2804,29 +2664,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075646", + "name": "sleep-30-fail-cron-27075607", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { - "active": 5, + "active": 1, "failed": 0, "succeeded": 0 }, "time": { - "created": "2021-06-24T12:46:00.000Z" + "created": "2021-06-24T12:07:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -2846,29 +2704,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-fail-cron-27075630", + "name": "sleep-5-parallel-cron-27075627", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 1, + "active": 5, "failed": 0, - "succeeded": 0 + "succeeded": 15 }, "time": { - "created": "2021-06-24T12:30:00.000Z" + "created": "2021-06-24T12:27:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -2890,7 +2746,7 @@ "completions": { "desired": 20 }, - "name": "sleep-5-parallel-cron-27075634", + "name": "sleep-5-parallel-cron-27075620", "owner": { "is_controller": "true", "kind": "CronJob", @@ -2900,17 +2756,19 @@ "desired": 5 }, "pods": { - "active": 5, + "active": 0, "failed": 0, - "succeeded": 1 + "succeeded": 20 + }, + "status": { + "complete": "true" }, "time": { - "created": "2021-06-24T12:34:00.000Z" + "completed": "2021-06-24T12:37:24.000Z", + "created": "2021-06-24T12:20:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -2930,29 +2788,30 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075632", + "name": "sleep-30-fail-cron-27075600", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { - "active": 5, - "failed": 0, - "succeeded": 1 + "active": 0, + "failed": 1, + "succeeded": 0 + }, + "status": { + "failed": "true" }, "time": { - "created": "2021-06-24T12:32:00.000Z" + "created": "2021-06-24T12:00:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -2972,29 +2831,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-fail-cron-27075563", + "name": "sleep-5-parallel-cron-27075607", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 1, + "active": 3, "failed": 0, - "succeeded": 0 + "succeeded": 17 }, "time": { - "created": "2021-06-24T11:23:00.000Z" + "created": "2021-06-24T12:07:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -3014,29 +2871,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075535", + "name": "sleep-30-fail-cron-27075590", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { "active": 1, "failed": 0, - "succeeded": 19 + "succeeded": 0 }, "time": { - "created": "2021-06-24T10:55:00.000Z" + "created": "2021-06-24T11:50:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -3056,29 +2911,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075643", + "name": "sleep-30-ok-cron-27075617", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-ok-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { - "active": 5, + "active": 1, "failed": 0, "succeeded": 0 }, "time": { - "created": "2021-06-24T12:43:00.000Z" + "created": "2021-06-24T12:17:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -3098,29 +2951,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-fail-cron-27075641", + "name": "sleep-5-parallel-cron-27075610", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 1, + "active": 3, "failed": 0, - "succeeded": 0 + "succeeded": 17 }, "time": { - "created": "2021-06-24T12:41:00.000Z" + "created": "2021-06-24T12:10:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -3140,29 +2991,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-fail-cron-27075633", + "name": "sleep-5-parallel-cron-27075572", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 1, + "active": 2, "failed": 0, - "succeeded": 0 + "succeeded": 18 }, "time": { - "created": "2021-06-24T12:33:00.000Z" + "created": "2021-06-24T11:32:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -3184,11 +3033,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075614", + "name": "sleep-30-ok-cron-27075641", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-30-ok-cron" }, "parallelism": { "desired": 1 @@ -3199,12 +3048,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:14:00.000Z" + "created": "2021-06-24T12:41:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -3226,7 +3073,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075604", + "name": "sleep-30-fail-cron-27075547", "owner": { "is_controller": "true", "kind": "CronJob", @@ -3241,12 +3088,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:04:00.000Z" + "created": "2021-06-24T11:07:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -3268,11 +3113,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075643", + "name": "sleep-30-ok-cron-27075630", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-30-ok-cron" }, "parallelism": { "desired": 1 @@ -3283,12 +3128,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:43:00.000Z" + "created": "2021-06-24T12:30:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -3310,7 +3153,7 @@ "completions": { "desired": 20 }, - "name": "sleep-5-parallel-cron-27075642", + "name": "sleep-5-parallel-cron-27075621", "owner": { "is_controller": "true", "kind": "CronJob", @@ -3322,15 +3165,13 @@ "pods": { "active": 5, "failed": 0, - "succeeded": 0 + "succeeded": 1 }, "time": { - "created": "2021-06-24T12:42:00.000Z" + "created": "2021-06-24T12:21:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -3350,29 +3191,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075551", + "name": "sleep-30-fail-cron-27075624", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { - "active": 2, + "active": 1, "failed": 0, - "succeeded": 18 + "succeeded": 0 }, "time": { - "created": "2021-06-24T11:11:00.000Z" + "created": "2021-06-24T12:24:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -3392,29 +3231,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075614", + "name": "sleep-30-fail-cron-27075619", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { - "active": 5, + "active": 1, "failed": 0, - "succeeded": 15 + "succeeded": 0 }, "time": { - "created": "2021-06-24T12:14:00.000Z" + "created": "2021-06-24T12:19:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -3434,29 +3271,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-fail-cron-27075607", + "name": "sleep-5-parallel-cron-27075601", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 1, + "active": 3, "failed": 0, - "succeeded": 0 + "succeeded": 17 }, "time": { - "created": "2021-06-24T12:07:00.000Z" + "created": "2021-06-24T12:01:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -3478,7 +3313,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075588", + "name": "sleep-30-fail-cron-27075643", "owner": { "is_controller": "true", "kind": "CronJob", @@ -3493,12 +3328,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T11:48:00.000Z" + "created": "2021-06-24T12:43:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -3520,11 +3353,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075590", + "name": "sleep-30-ok-cron-27075635", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-30-ok-cron" }, "parallelism": { "desired": 1 @@ -3535,12 +3368,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T11:50:00.000Z" + "created": "2021-06-24T12:35:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -3562,7 +3393,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-ok-cron-27075612", + "name": "sleep-30-ok-cron-27075547", "owner": { "is_controller": "true", "kind": "CronJob", @@ -3577,12 +3408,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:12:00.000Z" + "created": "2021-06-24T11:07:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -3604,11 +3433,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-ok-cron-27075535", + "name": "sleep-30-fail-cron-27075588", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-ok-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { "desired": 1 @@ -3619,12 +3448,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T10:55:00.000Z" + "created": "2021-06-24T11:48:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -3646,7 +3473,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-ok-cron-27075637", + "name": "sleep-30-ok-cron-27075612", "owner": { "is_controller": "true", "kind": "CronJob", @@ -3661,12 +3488,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:37:00.000Z" + "created": "2021-06-24T12:12:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -3686,29 +3511,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-fail-cron-27075620", + "name": "sleep-5-parallel-cron-27075646", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 1, + "active": 5, "failed": 0, "succeeded": 0 }, "time": { - "created": "2021-06-24T12:20:00.000Z" + "created": "2021-06-24T12:46:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -3730,11 +3553,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-ok-cron-27075638", + "name": "sleep-30-fail-cron-27075604", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-ok-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { "desired": 1 @@ -3745,12 +3568,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:38:00.000Z" + "created": "2021-06-24T12:04:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -3772,7 +3593,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075592", + "name": "sleep-30-fail-cron-27075640", "owner": { "is_controller": "true", "kind": "CronJob", @@ -3787,12 +3608,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T11:52:00.000Z" + "created": "2021-06-24T12:40:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -3814,11 +3633,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075629", + "name": "sleep-30-ok-cron-27075631", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-30-ok-cron" }, "parallelism": { "desired": 1 @@ -3829,12 +3648,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:29:00.000Z" + "created": "2021-06-24T12:31:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -3856,7 +3673,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075554", + "name": "sleep-30-fail-cron-27075635", "owner": { "is_controller": "true", "kind": "CronJob", @@ -3871,12 +3688,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T11:14:00.000Z" + "created": "2021-06-24T12:35:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -3896,29 +3711,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075591", + "name": "sleep-30-ok-cron-27075634", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-ok-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { "active": 1, "failed": 0, - "succeeded": 19 + "succeeded": 0 }, "time": { - "created": "2021-06-24T11:51:00.000Z" + "created": "2021-06-24T12:34:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -3938,32 +3751,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-fail-cron-27075600", + "name": "sleep-5-parallel-cron-27075592", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 0, - "failed": 1, - "succeeded": 0 - }, - "status": { - "failed": "true" + "active": 1, + "failed": 0, + "succeeded": 19 }, "time": { - "created": "2021-06-24T12:00:00.000Z" + "created": "2021-06-24T11:52:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -3983,29 +3791,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075618", + "name": "sleep-30-fail-cron-27075618", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { - "active": 2, + "active": 1, "failed": 0, - "succeeded": 18 + "succeeded": 0 }, "time": { "created": "2021-06-24T12:18:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -4027,7 +3833,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075645", + "name": "sleep-30-fail-cron-27075642", "owner": { "is_controller": "true", "kind": "CronJob", @@ -4042,12 +3848,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:45:00.000Z" + "created": "2021-06-24T12:42:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -4069,7 +3873,7 @@ "completions": { "desired": 20 }, - "name": "sleep-5-parallel-cron-27075636", + "name": "sleep-5-parallel-cron-27075535", "owner": { "is_controller": "true", "kind": "CronJob", @@ -4079,17 +3883,15 @@ "desired": 5 }, "pods": { - "active": 5, + "active": 1, "failed": 0, - "succeeded": 4 + "succeeded": 19 }, "time": { - "created": "2021-06-24T12:36:00.000Z" + "created": "2021-06-24T10:55:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -4111,7 +3913,7 @@ "completions": { "desired": 20 }, - "name": "sleep-5-parallel-cron-27075548", + "name": "sleep-5-parallel-cron-27075566", "owner": { "is_controller": "true", "kind": "CronJob", @@ -4126,12 +3928,10 @@ "succeeded": 19 }, "time": { - "created": "2021-06-24T11:08:00.000Z" + "created": "2021-06-24T11:26:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -4151,29 +3951,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075607", + "name": "sleep-30-fail-cron-27075634", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { - "active": 3, + "active": 1, "failed": 0, - "succeeded": 17 + "succeeded": 0 }, "time": { - "created": "2021-06-24T12:07:00.000Z" + "created": "2021-06-24T12:34:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -4195,7 +3993,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075606", + "name": "sleep-30-fail-cron-27075602", "owner": { "is_controller": "true", "kind": "CronJob", @@ -4210,12 +4008,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:06:00.000Z" + "created": "2021-06-24T12:02:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -4235,29 +4031,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-fail-cron-27075536", + "name": "sleep-5-parallel-cron-27075640", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 1, + "active": 5, "failed": 0, - "succeeded": 0 + "succeeded": 1 }, "time": { - "created": "2021-06-24T10:56:00.000Z" + "created": "2021-06-24T12:40:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -4277,29 +4071,31 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-fail-cron-27075642", + "name": "sleep-5-parallel-cron-27075613", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 1, + "active": 0, "failed": 0, - "succeeded": 0 + "succeeded": 20 + }, + "status": { + "complete": "true" }, "time": { - "created": "2021-06-24T12:42:00.000Z" + "completed": "2021-06-24T12:28:39.000Z", + "created": "2021-06-24T12:13:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -4321,7 +4117,7 @@ "completions": { "desired": 20 }, - "name": "sleep-5-parallel-cron-27075645", + "name": "sleep-5-parallel-cron-27075624", "owner": { "is_controller": "true", "kind": "CronJob", @@ -4333,15 +4129,13 @@ "pods": { "active": 5, "failed": 0, - "succeeded": 0 + "succeeded": 7 }, "time": { - "created": "2021-06-24T12:45:00.000Z" + "created": "2021-06-24T12:24:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -4361,29 +4155,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075637", + "name": "sleep-30-fail-cron-27075637", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { - "active": 5, + "active": 1, "failed": 0, - "succeeded": 2 + "succeeded": 0 }, "time": { "created": "2021-06-24T12:37:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -4405,7 +4197,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075646", + "name": "sleep-30-fail-cron-27075606", "owner": { "is_controller": "true", "kind": "CronJob", @@ -4420,12 +4212,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:46:00.000Z" + "created": "2021-06-24T12:06:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -4445,29 +4235,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075594", + "name": "sleep-30-ok-cron-27075632", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-ok-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { - "active": 5, + "active": 1, "failed": 0, - "succeeded": 9 + "succeeded": 0 }, "time": { - "created": "2021-06-24T11:54:00.000Z" + "created": "2021-06-24T12:32:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -4487,29 +4275,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075631", + "name": "sleep-30-fail-cron-27075627", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { - "active": 5, + "active": 1, "failed": 0, - "succeeded": 3 + "succeeded": 0 }, "time": { - "created": "2021-06-24T12:31:00.000Z" + "created": "2021-06-24T12:27:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -4531,7 +4317,7 @@ "completions": { "desired": 20 }, - "name": "sleep-5-parallel-cron-27075572", + "name": "sleep-5-parallel-cron-27075571", "owner": { "is_controller": "true", "kind": "CronJob", @@ -4546,12 +4332,10 @@ "succeeded": 18 }, "time": { - "created": "2021-06-24T11:32:00.000Z" + "created": "2021-06-24T11:31:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -4571,29 +4355,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-fail-cron-27075610", + "name": "sleep-5-parallel-cron-27075564", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 1, + "active": 2, "failed": 0, - "succeeded": 0 + "succeeded": 18 }, "time": { - "created": "2021-06-24T12:10:00.000Z" + "created": "2021-06-24T11:24:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -4613,29 +4395,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075566", + "name": "sleep-30-fail-cron-27075622", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { "active": 1, "failed": 0, - "succeeded": 19 + "succeeded": 0 }, "time": { - "created": "2021-06-24T11:26:00.000Z" + "created": "2021-06-24T12:22:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -4655,29 +4435,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075623", + "name": "sleep-30-ok-cron-27075536", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-ok-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { "active": 1, "failed": 0, - "succeeded": 19 + "succeeded": 0 }, "time": { - "created": "2021-06-24T12:23:00.000Z" + "created": "2021-06-24T10:56:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -4697,29 +4475,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-fail-cron-27075608", + "name": "sleep-5-parallel-cron-27075612", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 1, + "active": 5, "failed": 0, - "succeeded": 0 + "succeeded": 1 }, "time": { - "created": "2021-06-24T12:08:00.000Z" + "created": "2021-06-24T12:12:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -4741,7 +4517,7 @@ "completions": { "desired": 20 }, - "name": "sleep-5-parallel-cron-27075625", + "name": "sleep-5-parallel-cron-27075619", "owner": { "is_controller": "true", "kind": "CronJob", @@ -4751,17 +4527,15 @@ "desired": 5 }, "pods": { - "active": 5, + "active": 4, "failed": 0, - "succeeded": 11 + "succeeded": 16 }, "time": { - "created": "2021-06-24T12:25:00.000Z" + "created": "2021-06-24T12:19:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -4781,29 +4555,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-ok-cron-27075645", + "name": "sleep-5-parallel-cron-27075638", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-ok-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 1, + "active": 5, "failed": 0, "succeeded": 0 }, "time": { - "created": "2021-06-24T12:45:00.000Z" + "created": "2021-06-24T12:38:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -4825,11 +4597,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075602", + "name": "sleep-30-ok-cron-27075590", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-30-ok-cron" }, "parallelism": { "desired": 1 @@ -4840,12 +4612,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:02:00.000Z" + "created": "2021-06-24T11:50:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -4867,11 +4637,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075593", + "name": "sleep-30-ok-cron-27075626", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-30-ok-cron" }, "parallelism": { "desired": 1 @@ -4882,12 +4652,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T11:53:00.000Z" + "created": "2021-06-24T12:26:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -4907,29 +4675,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-fail-cron-27075586", + "name": "sleep-5-parallel-cron-27075625", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 1, + "active": 5, "failed": 0, - "succeeded": 0 + "succeeded": 11 }, "time": { - "created": "2021-06-24T11:46:00.000Z" + "created": "2021-06-24T12:25:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -4951,7 +4717,7 @@ "completions": { "desired": 20 }, - "name": "sleep-5-parallel-cron-27075616", + "name": "sleep-5-parallel-cron-27075603", "owner": { "is_controller": "true", "kind": "CronJob", @@ -4966,12 +4732,10 @@ "succeeded": 19 }, "time": { - "created": "2021-06-24T12:16:00.000Z" + "created": "2021-06-24T12:03:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -4993,11 +4757,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075613", + "name": "sleep-30-ok-cron-27075643", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-30-ok-cron" }, "parallelism": { "desired": 1 @@ -5008,12 +4772,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:13:00.000Z" + "created": "2021-06-24T12:43:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -5033,29 +4795,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-fail-cron-27075594", + "name": "sleep-5-parallel-cron-27075548", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { "active": 1, "failed": 0, - "succeeded": 0 + "succeeded": 19 }, "time": { - "created": "2021-06-24T11:54:00.000Z" + "created": "2021-06-24T11:08:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -5075,29 +4835,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-fail-cron-27075584", + "name": "sleep-5-parallel-cron-27075632", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 1, + "active": 5, "failed": 0, - "succeeded": 0 + "succeeded": 1 }, "time": { - "created": "2021-06-24T11:44:00.000Z" + "created": "2021-06-24T12:32:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -5119,7 +4877,7 @@ "completions": { "desired": 20 }, - "name": "sleep-5-parallel-cron-27075627", + "name": "sleep-5-parallel-cron-27075637", "owner": { "is_controller": "true", "kind": "CronJob", @@ -5131,15 +4889,13 @@ "pods": { "active": 5, "failed": 0, - "succeeded": 15 + "succeeded": 2 }, "time": { - "created": "2021-06-24T12:27:00.000Z" + "created": "2021-06-24T12:37:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -5161,7 +4917,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-ok-cron-27075626", + "name": "sleep-30-ok-cron-27075628", "owner": { "is_controller": "true", "kind": "CronJob", @@ -5176,12 +4932,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:26:00.000Z" + "created": "2021-06-24T12:28:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -5203,11 +4957,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-ok-cron-27075632", + "name": "sleep-30-fail-cron-27075620", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-ok-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { "desired": 1 @@ -5218,12 +4972,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:32:00.000Z" + "created": "2021-06-24T12:20:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -5243,29 +4995,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075589", + "name": "sleep-30-fail-cron-27075633", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { "active": 1, "failed": 0, - "succeeded": 19 + "succeeded": 0 }, "time": { - "created": "2021-06-24T11:49:00.000Z" + "created": "2021-06-24T12:33:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -5287,11 +5037,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075611", + "name": "sleep-30-ok-cron-27075640", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-30-ok-cron" }, "parallelism": { "desired": 1 @@ -5302,12 +5052,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:11:00.000Z" + "created": "2021-06-24T12:40:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -5329,7 +5077,7 @@ "completions": { "desired": 20 }, - "name": "sleep-5-parallel-cron-27075608", + "name": "sleep-5-parallel-cron-27075593", "owner": { "is_controller": "true", "kind": "CronJob", @@ -5344,12 +5092,10 @@ "succeeded": 19 }, "time": { - "created": "2021-06-24T12:08:00.000Z" + "created": "2021-06-24T11:53:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -5371,7 +5117,7 @@ "completions": { "desired": 20 }, - "name": "sleep-5-parallel-cron-27075640", + "name": "sleep-5-parallel-cron-27075635", "owner": { "is_controller": "true", "kind": "CronJob", @@ -5383,15 +5129,13 @@ "pods": { "active": 5, "failed": 0, - "succeeded": 1 + "succeeded": 0 }, "time": { - "created": "2021-06-24T12:40:00.000Z" + "created": "2021-06-24T12:35:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -5411,29 +5155,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075624", + "name": "sleep-30-fail-cron-27075554", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { - "active": 5, + "active": 1, "failed": 0, - "succeeded": 7 + "succeeded": 0 }, "time": { - "created": "2021-06-24T12:24:00.000Z" + "created": "2021-06-24T11:14:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -5455,11 +5197,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-ok-cron-27075623", + "name": "sleep-30-fail-cron-27075609", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-ok-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { "desired": 1 @@ -5470,12 +5212,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:23:00.000Z" + "created": "2021-06-24T12:09:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -5497,11 +5237,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075535", + "name": "sleep-30-ok-cron-27075633", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-30-ok-cron" }, "parallelism": { "desired": 1 @@ -5512,12 +5252,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T10:55:00.000Z" + "created": "2021-06-24T12:33:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -5539,7 +5277,7 @@ "completions": { "desired": 20 }, - "name": "sleep-5-parallel-cron-27075593", + "name": "sleep-5-parallel-cron-27075557", "owner": { "is_controller": "true", "kind": "CronJob", @@ -5554,12 +5292,10 @@ "succeeded": 19 }, "time": { - "created": "2021-06-24T11:53:00.000Z" + "created": "2021-06-24T11:17:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -5581,7 +5317,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075616", + "name": "sleep-30-fail-cron-27075608", "owner": { "is_controller": "true", "kind": "CronJob", @@ -5596,12 +5332,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:16:00.000Z" + "created": "2021-06-24T12:08:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -5621,29 +5355,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075557", + "name": "sleep-30-ok-cron-27075636", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-ok-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { "active": 1, "failed": 0, - "succeeded": 19 + "succeeded": 0 }, "time": { - "created": "2021-06-24T11:17:00.000Z" + "created": "2021-06-24T12:36:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -5663,29 +5395,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075571", + "name": "sleep-30-ok-cron-27075610", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-ok-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { - "active": 2, + "active": 1, "failed": 0, - "succeeded": 18 + "succeeded": 0 }, "time": { - "created": "2021-06-24T11:31:00.000Z" + "created": "2021-06-24T12:10:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -5707,7 +5437,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075631", + "name": "sleep-30-fail-cron-27075632", "owner": { "is_controller": "true", "kind": "CronJob", @@ -5722,12 +5452,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:31:00.000Z" + "created": "2021-06-24T12:32:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -5747,29 +5475,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-fail-cron-27075635", + "name": "sleep-5-parallel-cron-27075594", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 1, + "active": 5, "failed": 0, - "succeeded": 0 + "succeeded": 9 }, "time": { - "created": "2021-06-24T12:35:00.000Z" + "created": "2021-06-24T11:54:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -5789,29 +5515,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-fail-cron-27075601", + "name": "sleep-5-parallel-cron-27075584", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 1, + "active": 2, "failed": 0, - "succeeded": 0 + "succeeded": 18 }, "time": { - "created": "2021-06-24T12:01:00.000Z" + "created": "2021-06-24T11:44:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -5831,29 +5555,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-fail-cron-27075627", + "name": "sleep-5-parallel-cron-27075614", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 1, + "active": 5, "failed": 0, - "succeeded": 0 + "succeeded": 15 }, "time": { - "created": "2021-06-24T12:27:00.000Z" + "created": "2021-06-24T12:14:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -5873,29 +5595,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075617", + "name": "sleep-30-fail-cron-27075638", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { - "active": 5, + "active": 1, "failed": 0, "succeeded": 0 }, "time": { - "created": "2021-06-24T12:17:00.000Z" + "created": "2021-06-24T12:38:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -5915,29 +5635,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075599", + "name": "sleep-30-fail-cron-27075576", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { - "active": 5, + "active": 1, "failed": 0, - "succeeded": 2 + "succeeded": 0 }, "time": { - "created": "2021-06-24T11:59:00.000Z" + "created": "2021-06-24T11:36:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -5959,7 +5677,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075624", + "name": "sleep-30-fail-cron-27075626", "owner": { "is_controller": "true", "kind": "CronJob", @@ -5974,12 +5692,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:24:00.000Z" + "created": "2021-06-24T12:26:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -6001,11 +5717,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-ok-cron-27075635", + "name": "sleep-30-fail-cron-27075563", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-ok-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { "desired": 1 @@ -6016,12 +5732,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:35:00.000Z" + "created": "2021-06-24T11:23:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -6043,11 +5757,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-ok-cron-27075601", + "name": "sleep-30-fail-cron-27075646", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-ok-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { "desired": 1 @@ -6058,12 +5772,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:01:00.000Z" + "created": "2021-06-24T12:46:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -6085,7 +5797,7 @@ "completions": { "desired": 20 }, - "name": "sleep-5-parallel-cron-27075629", + "name": "sleep-5-parallel-cron-27075532", "owner": { "is_controller": "true", "kind": "CronJob", @@ -6095,17 +5807,15 @@ "desired": 5 }, "pods": { - "active": 5, + "active": 2, "failed": 0, - "succeeded": 6 + "succeeded": 18 }, "time": { - "created": "2021-06-24T12:29:00.000Z" + "created": "2021-06-24T10:52:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -6125,29 +5835,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075563", + "name": "sleep-30-fail-cron-27075613", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { - "active": 2, + "active": 1, "failed": 0, - "succeeded": 18 + "succeeded": 0 }, "time": { - "created": "2021-06-24T11:23:00.000Z" + "created": "2021-06-24T12:13:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -6167,29 +5875,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-fail-cron-27075626", + "name": "sleep-5-parallel-cron-27075599", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 1, + "active": 5, "failed": 0, - "succeeded": 0 + "succeeded": 2 }, "time": { - "created": "2021-06-24T12:26:00.000Z" + "created": "2021-06-24T11:59:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -6209,29 +5915,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-ok-cron-27075644", + "name": "sleep-5-parallel-cron-27075589", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-ok-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { "active": 1, "failed": 0, - "succeeded": 0 + "succeeded": 19 }, "time": { - "created": "2021-06-24T12:44:00.000Z" + "created": "2021-06-24T11:49:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -6251,29 +5955,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075590", + "name": "sleep-30-ok-cron-27075644", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-ok-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { "active": 1, "failed": 0, - "succeeded": 19 + "succeeded": 0 }, "time": { - "created": "2021-06-24T11:50:00.000Z" + "created": "2021-06-24T12:44:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -6295,11 +5997,11 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075621", + "name": "sleep-30-ok-cron-27075594", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-30-ok-cron" }, "parallelism": { "desired": 1 @@ -6310,12 +6012,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:21:00.000Z" + "created": "2021-06-24T11:54:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -6335,29 +6035,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075619", + "name": "sleep-30-fail-cron-27075629", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { - "active": 4, + "active": 1, "failed": 0, - "succeeded": 16 + "succeeded": 0 }, "time": { - "created": "2021-06-24T12:19:00.000Z" + "created": "2021-06-24T12:29:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -6377,29 +6075,27 @@ "kubernetes": { "job": { "completions": { - "desired": 1 + "desired": 20 }, - "name": "sleep-30-fail-cron-27075617", + "name": "sleep-5-parallel-cron-27075642", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-30-fail-cron" + "name": "sleep-5-parallel-cron" }, "parallelism": { - "desired": 1 + "desired": 5 }, "pods": { - "active": 1, + "active": 5, "failed": 0, "succeeded": 0 }, "time": { - "created": "2021-06-24T12:17:00.000Z" + "created": "2021-06-24T12:42:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -6421,7 +6117,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075639", + "name": "sleep-30-fail-cron-27075603", "owner": { "is_controller": "true", "kind": "CronJob", @@ -6436,12 +6132,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:39:00.000Z" + "created": "2021-06-24T12:03:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -6463,7 +6157,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075637", + "name": "sleep-30-fail-cron-27075623", "owner": { "is_controller": "true", "kind": "CronJob", @@ -6478,12 +6172,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:37:00.000Z" + "created": "2021-06-24T12:23:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -6505,7 +6197,7 @@ "completions": { "desired": 1 }, - "name": "sleep-30-fail-cron-27075623", + "name": "sleep-30-fail-cron-27075586", "owner": { "is_controller": "true", "kind": "CronJob", @@ -6520,12 +6212,10 @@ "succeeded": 0 }, "time": { - "created": "2021-06-24T12:23:00.000Z" + "created": "2021-06-24T11:46:00.000Z" } }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -6545,29 +6235,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075638", + "name": "sleep-30-fail-cron-27075630", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { - "active": 5, + "active": 1, "failed": 0, "succeeded": 0 }, "time": { - "created": "2021-06-24T12:38:00.000Z" + "created": "2021-06-24T12:30:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", @@ -6589,7 +6277,7 @@ "completions": { "desired": 20 }, - "name": "sleep-5-parallel-cron-27075633", + "name": "sleep-5-parallel-cron-27075618", "owner": { "is_controller": "true", "kind": "CronJob", @@ -6599,17 +6287,15 @@ "desired": 5 }, "pods": { - "active": 5, + "active": 2, "failed": 0, - "succeeded": 0 + "succeeded": 18 }, "time": { - "created": "2021-06-24T12:33:00.000Z" + "created": "2021-06-24T12:18:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "parallel-ns" }, "metricset": { "name": "state_job", @@ -6629,29 +6315,27 @@ "kubernetes": { "job": { "completions": { - "desired": 20 + "desired": 1 }, - "name": "sleep-5-parallel-cron-27075564", + "name": "sleep-30-fail-cron-27075592", "owner": { "is_controller": "true", "kind": "CronJob", - "name": "sleep-5-parallel-cron" + "name": "sleep-30-fail-cron" }, "parallelism": { - "desired": 5 + "desired": 1 }, "pods": { - "active": 2, + "active": 1, "failed": 0, - "succeeded": 18 + "succeeded": 0 }, "time": { - "created": "2021-06-24T11:24:00.000Z" + "created": "2021-06-24T11:52:00.000Z" } }, - "namespace": { - "name": "parallel-ns" - } + "namespace": "default" }, "metricset": { "name": "state_job", diff --git a/metricbeat/module/kubernetes/state_job/state_job.go b/metricbeat/module/kubernetes/state_job/state_job.go index bfad2bcba8b..1b072eae742 100644 --- a/metricbeat/module/kubernetes/state_job/state_job.go +++ b/metricbeat/module/kubernetes/state_job/state_job.go @@ -65,7 +65,7 @@ var ( Labels: map[string]p.LabelMap{ // Jobs are uniquely identified by the combination of name and namespace. "job_name": p.KeyLabel("name"), - "namespace": p.KeyLabel(mb.ModuleDataKey + ".namespace.name"), + "namespace": p.KeyLabel(mb.ModuleDataKey + ".namespace"), // Add owner information provided by the "kube_job_owner" InfoMetric. "owner_kind": p.Label("owner.kind"), "owner_name": p.Label("owner.name"), diff --git a/metricbeat/module/kubernetes/state_persistentvolumeclaim/_meta/test/ksm.unit.v1.8.0.expected b/metricbeat/module/kubernetes/state_persistentvolumeclaim/_meta/test/ksm.unit.v1.8.0.expected index fbc1e75a94e..1bafc31a84c 100644 --- a/metricbeat/module/kubernetes/state_persistentvolumeclaim/_meta/test/ksm.unit.v1.8.0.expected +++ b/metricbeat/module/kubernetes/state_persistentvolumeclaim/_meta/test/ksm.unit.v1.8.0.expected @@ -5,9 +5,7 @@ "labels": { "app": "mysql-server" }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "MetricSetFields": { "access_mode": "ReadWriteOnce", @@ -32,12 +30,15 @@ }, { "RootFields": {}, - "ModuleFields": null, + "ModuleFields": { + "namespace": "default" + }, "MetricSetFields": { "access_mode": "ReadWriteOnce", - "name": "mongo-data", - "phase": "Lost", - "storage_class": "\u003cnone\u003e" + "name": "prometheus-data", + "phase": "Pending", + "storage_class": "rbd", + "volume_name": "pvc-prometheus-data" }, "Index": "", "ID": "", @@ -52,17 +53,12 @@ }, { "RootFields": {}, - "ModuleFields": { - "namespace": { - "name": "default" - } - }, + "ModuleFields": null, "MetricSetFields": { "access_mode": "ReadWriteOnce", - "name": "prometheus-data", - "phase": "Pending", - "storage_class": "rbd", - "volume_name": "pvc-prometheus-data" + "name": "mongo-data", + "phase": "Lost", + "storage_class": "\u003cnone\u003e" }, "Index": "", "ID": "", diff --git a/metricbeat/module/kubernetes/state_persistentvolumeclaim/_meta/test/ksm.v1.8.0.expected b/metricbeat/module/kubernetes/state_persistentvolumeclaim/_meta/test/ksm.v1.8.0.expected index 925b651362e..e5c4c21bd2f 100644 --- a/metricbeat/module/kubernetes/state_persistentvolumeclaim/_meta/test/ksm.v1.8.0.expected +++ b/metricbeat/module/kubernetes/state_persistentvolumeclaim/_meta/test/ksm.v1.8.0.expected @@ -5,19 +5,17 @@ "labels": { "app": "nginx" }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "MetricSetFields": { "access_mode": "ReadWriteOnce", - "name": "www-web-1", + "name": "www-web-0", "phase": "Bound", "request_storage": { "bytes": 1073741824 }, "storage_class": "standard", - "volume_name": "pvc-539a19cf-ea44-43a4-84c5-4acca3f9b583" + "volume_name": "pvc-c87e31f9-f853-4b20-b5db-fc41466c8b56" }, "Index": "", "ID": "", @@ -36,19 +34,17 @@ "labels": { "app": "nginx" }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "MetricSetFields": { "access_mode": "ReadWriteOnce", - "name": "www-web-0", + "name": "www-web-1", "phase": "Bound", "request_storage": { "bytes": 1073741824 }, "storage_class": "standard", - "volume_name": "pvc-c87e31f9-f853-4b20-b5db-fc41466c8b56" + "volume_name": "pvc-539a19cf-ea44-43a4-84c5-4acca3f9b583" }, "Index": "", "ID": "", diff --git a/metricbeat/module/kubernetes/state_persistentvolumeclaim/_meta/test/ksm.v2.0.0.expected b/metricbeat/module/kubernetes/state_persistentvolumeclaim/_meta/test/ksm.v2.0.0.expected index dc1ada939b5..09a2c61e789 100644 --- a/metricbeat/module/kubernetes/state_persistentvolumeclaim/_meta/test/ksm.v2.0.0.expected +++ b/metricbeat/module/kubernetes/state_persistentvolumeclaim/_meta/test/ksm.v2.0.0.expected @@ -2,9 +2,7 @@ { "RootFields": {}, "ModuleFields": { - "namespace": { - "name": "default" - } + "namespace": "default" }, "MetricSetFields": { "access_mode": "ReadWriteOnce", diff --git a/metricbeat/module/kubernetes/state_persistentvolumeclaim/state_persistentvolumeclaim.go b/metricbeat/module/kubernetes/state_persistentvolumeclaim/state_persistentvolumeclaim.go index 15072c5710c..3cf414c498a 100644 --- a/metricbeat/module/kubernetes/state_persistentvolumeclaim/state_persistentvolumeclaim.go +++ b/metricbeat/module/kubernetes/state_persistentvolumeclaim/state_persistentvolumeclaim.go @@ -69,7 +69,7 @@ func NewpersistentvolumeclaimMetricSet(base mb.BaseMetricSet) (mb.MetricSet, err "kube_persistentvolumeclaim_status_phase": p.LabelMetric("phase", "phase"), }, Labels: map[string]p.LabelMap{ - "namespace": p.KeyLabel(mb.ModuleDataKey + ".namespace.name"), + "namespace": p.KeyLabel(mb.ModuleDataKey + ".namespace"), "persistentvolumeclaim": p.KeyLabel("name"), "storageclass": p.Label("storage_class"), "volumename": p.Label("volume_name"), diff --git a/metricbeat/module/kubernetes/state_pod/_meta/data.json b/metricbeat/module/kubernetes/state_pod/_meta/data.json index 2a002a1470e..474341cacd3 100644 --- a/metricbeat/module/kubernetes/state_pod/_meta/data.json +++ b/metricbeat/module/kubernetes/state_pod/_meta/data.json @@ -6,16 +6,14 @@ "module": "kubernetes" }, "kubernetes": { - "namespace": { - "name": "jenkins" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, "pod": { "host_ip": "192.168.99.100", - "ip": "172.17.0.7", - "name": "wise-lynx-jenkins-1616735317-svn6k", + "ip": "172.17.0.2", + "name": "tiller-deploy-3067024529-9lpmb", "status": { "phase": "running", "ready": "true", diff --git a/metricbeat/module/kubernetes/state_pod/_meta/test/ksm.v1.3.0.expected b/metricbeat/module/kubernetes/state_pod/_meta/test/ksm.v1.3.0.expected index b8ffd59a24b..b47439bb83e 100644 --- a/metricbeat/module/kubernetes/state_pod/_meta/test/ksm.v1.3.0.expected +++ b/metricbeat/module/kubernetes/state_pod/_meta/test/ksm.v1.3.0.expected @@ -2,17 +2,15 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" } }, "MetricSetFields": { "host_ip": "10.0.2.15", - "ip": "172.17.0.5", - "name": "kube-state-metrics-6479d88c5c-5b6cl", + "ip": "10.0.2.15", + "name": "kube-scheduler-minikube", "status": { "phase": "running", "ready": "true", @@ -33,9 +31,7 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" } @@ -43,7 +39,7 @@ "MetricSetFields": { "host_ip": "10.0.2.15", "ip": "10.0.2.15", - "name": "kube-proxy-znhg6", + "name": "kube-apiserver-minikube", "status": { "phase": "running", "ready": "true", @@ -64,9 +60,7 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" } @@ -74,7 +68,7 @@ "MetricSetFields": { "host_ip": "10.0.2.15", "ip": "10.0.2.15", - "name": "kube-controller-manager-minikube", + "name": "kube-addon-manager-minikube", "status": { "phase": "running", "ready": "true", @@ -95,17 +89,15 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" } }, "MetricSetFields": { "host_ip": "10.0.2.15", - "ip": "10.0.2.15", - "name": "storage-provisioner", + "ip": "172.17.0.3", + "name": "kubernetes-dashboard-77d8b98585-vqtzm", "status": { "phase": "running", "ready": "true", @@ -126,17 +118,15 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" } }, "MetricSetFields": { "host_ip": "10.0.2.15", - "ip": "10.0.2.15", - "name": "etcd-minikube", + "ip": "172.17.0.2", + "name": "kube-dns-6f4fd4bdf-wlmht", "status": { "phase": "running", "ready": "true", @@ -157,17 +147,15 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" } }, "MetricSetFields": { "host_ip": "10.0.2.15", - "ip": "172.17.0.2", - "name": "kube-dns-6f4fd4bdf-wlmht", + "ip": "10.0.2.15", + "name": "kube-controller-manager-minikube", "status": { "phase": "running", "ready": "true", @@ -188,17 +176,15 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" } }, "MetricSetFields": { "host_ip": "10.0.2.15", - "ip": "172.17.0.3", - "name": "kubernetes-dashboard-77d8b98585-vqtzm", + "ip": "10.0.2.15", + "name": "storage-provisioner", "status": { "phase": "running", "ready": "true", @@ -219,9 +205,7 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" } @@ -229,7 +213,7 @@ "MetricSetFields": { "host_ip": "10.0.2.15", "ip": "10.0.2.15", - "name": "kube-scheduler-minikube", + "name": "etcd-minikube", "status": { "phase": "running", "ready": "true", @@ -250,17 +234,15 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" } }, "MetricSetFields": { "host_ip": "10.0.2.15", - "ip": "10.0.2.15", - "name": "kube-addon-manager-minikube", + "ip": "172.17.0.5", + "name": "kube-state-metrics-6479d88c5c-5b6cl", "status": { "phase": "running", "ready": "true", @@ -281,9 +263,7 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" } @@ -291,7 +271,7 @@ "MetricSetFields": { "host_ip": "10.0.2.15", "ip": "10.0.2.15", - "name": "kube-apiserver-minikube", + "name": "kube-proxy-znhg6", "status": { "phase": "running", "ready": "true", diff --git a/metricbeat/module/kubernetes/state_pod/_meta/test/ksm.v1.8.0.expected b/metricbeat/module/kubernetes/state_pod/_meta/test/ksm.v1.8.0.expected index 8e4e7e97417..3048bed3e48 100644 --- a/metricbeat/module/kubernetes/state_pod/_meta/test/ksm.v1.8.0.expected +++ b/metricbeat/module/kubernetes/state_pod/_meta/test/ksm.v1.8.0.expected @@ -2,20 +2,18 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "default", "node": { "name": "minikube" } }, "MetricSetFields": { "host_ip": "192.168.64.6", - "ip": "192.168.64.6", - "name": "kube-scheduler-minikube", + "ip": "172.17.0.7", + "name": "hello-1578512100-vr7wj", "status": { - "phase": "running", - "ready": "true", + "phase": "succeeded", + "ready": "false", "scheduled": "true" } }, @@ -33,17 +31,15 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "default" - }, + "namespace": "kube-system", "node": { "name": "minikube" } }, "MetricSetFields": { "host_ip": "192.168.64.6", - "ip": "172.17.0.6", - "name": "web-1", + "ip": "192.168.64.6", + "name": "etcd-minikube", "status": { "phase": "running", "ready": "true", @@ -64,17 +60,15 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "default", "node": { "name": "minikube" } }, "MetricSetFields": { "host_ip": "192.168.64.6", - "ip": "192.168.64.6", - "name": "kube-addon-manager-minikube", + "ip": "172.17.0.6", + "name": "web-1", "status": { "phase": "running", "ready": "true", @@ -95,17 +89,15 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" } }, "MetricSetFields": { "host_ip": "192.168.64.6", - "ip": "172.17.0.3", - "name": "coredns-5644d7b6d9-k6wsp", + "ip": "172.17.0.2", + "name": "coredns-5644d7b6d9-fhwjd", "status": { "phase": "running", "ready": "true", @@ -126,17 +118,15 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "default", "node": { "name": "minikube" } }, "MetricSetFields": { "host_ip": "192.168.64.6", - "ip": "192.168.64.6", - "name": "storage-provisioner", + "ip": "172.17.0.5", + "name": "web-0", "status": { "phase": "running", "ready": "true", @@ -157,9 +147,7 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" } @@ -167,7 +155,7 @@ "MetricSetFields": { "host_ip": "192.168.64.6", "ip": "192.168.64.6", - "name": "kube-controller-manager-minikube", + "name": "kube-proxy-dwg6l", "status": { "phase": "running", "ready": "true", @@ -188,9 +176,7 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" } @@ -198,7 +184,7 @@ "MetricSetFields": { "host_ip": "192.168.64.6", "ip": "192.168.64.6", - "name": "kube-apiserver-minikube", + "name": "kube-scheduler-minikube", "status": { "phase": "running", "ready": "true", @@ -219,17 +205,15 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" } }, "MetricSetFields": { "host_ip": "192.168.64.6", - "ip": "172.17.0.4", - "name": "kube-state-metrics-898d4db8d-dqmtg", + "ip": "192.168.64.6", + "name": "kube-addon-manager-minikube", "status": { "phase": "running", "ready": "true", @@ -250,17 +234,15 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "default" - }, + "namespace": "kube-system", "node": { "name": "minikube" } }, "MetricSetFields": { "host_ip": "192.168.64.6", - "ip": "172.17.0.5", - "name": "web-0", + "ip": "172.17.0.3", + "name": "coredns-5644d7b6d9-k6wsp", "status": { "phase": "running", "ready": "true", @@ -281,9 +263,7 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" } @@ -291,7 +271,7 @@ "MetricSetFields": { "host_ip": "192.168.64.6", "ip": "192.168.64.6", - "name": "kube-proxy-dwg6l", + "name": "storage-provisioner", "status": { "phase": "running", "ready": "true", @@ -312,20 +292,18 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "default" - }, + "namespace": "kube-system", "node": { "name": "minikube" } }, "MetricSetFields": { "host_ip": "192.168.64.6", - "ip": "172.17.0.7", - "name": "hello-1578512100-vr7wj", + "ip": "192.168.64.6", + "name": "kube-controller-manager-minikube", "status": { - "phase": "succeeded", - "ready": "false", + "phase": "running", + "ready": "true", "scheduled": "true" } }, @@ -343,17 +321,15 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" } }, "MetricSetFields": { "host_ip": "192.168.64.6", - "ip": "172.17.0.2", - "name": "coredns-5644d7b6d9-fhwjd", + "ip": "192.168.64.6", + "name": "kube-apiserver-minikube", "status": { "phase": "running", "ready": "true", @@ -374,17 +350,15 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" } }, "MetricSetFields": { "host_ip": "192.168.64.6", - "ip": "192.168.64.6", - "name": "etcd-minikube", + "ip": "172.17.0.4", + "name": "kube-state-metrics-898d4db8d-dqmtg", "status": { "phase": "running", "ready": "true", diff --git a/metricbeat/module/kubernetes/state_pod/_meta/test/ksm.v2.0.0.expected b/metricbeat/module/kubernetes/state_pod/_meta/test/ksm.v2.0.0.expected index 865ffcf6449..9ee91db17f4 100644 --- a/metricbeat/module/kubernetes/state_pod/_meta/test/ksm.v2.0.0.expected +++ b/metricbeat/module/kubernetes/state_pod/_meta/test/ksm.v2.0.0.expected @@ -2,9 +2,7 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "kind-worker" } @@ -12,7 +10,7 @@ "MetricSetFields": { "host_ip": "172.20.0.4", "ip": "172.20.0.4", - "name": "metricbeat-bvr2v", + "name": "kube-proxy-22znl", "status": { "phase": "running", "ready": "true", @@ -33,17 +31,15 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "default" - }, + "namespace": "default", "node": { - "name": "kind-worker" + "name": "kind-worker2" } }, "MetricSetFields": { - "host_ip": "172.20.0.4", - "ip": "10.244.2.3", - "name": "hello-python-566b5479f5-ndwdl", + "host_ip": "172.20.0.3", + "ip": "10.244.1.2", + "name": "redis", "status": { "phase": "running", "ready": "true", @@ -64,17 +60,15 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "kind-control-plane" } }, "MetricSetFields": { "host_ip": "172.20.0.2", - "ip": "172.20.0.2", - "name": "kube-proxy-cm525", + "ip": "10.244.0.3", + "name": "coredns-5644d7b6d9-zgdsx", "status": { "phase": "running", "ready": "true", @@ -95,17 +89,15 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "kind-control-plane" } }, "MetricSetFields": { "host_ip": "172.20.0.2", - "ip": "172.20.0.2", - "name": "kube-scheduler-kind-control-plane", + "ip": "10.244.0.2", + "name": "coredns-5644d7b6d9-nnwmb", "status": { "phase": "running", "ready": "true", @@ -126,17 +118,15 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { - "name": "kind-worker2" + "name": "kind-worker" } }, "MetricSetFields": { - "host_ip": "172.20.0.3", - "ip": "172.20.0.3", - "name": "metricbeat-55fp7", + "host_ip": "172.20.0.4", + "ip": "172.20.0.4", + "name": "kindnet-9fgst", "status": { "phase": "running", "ready": "true", @@ -157,17 +147,15 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "default" - }, + "namespace": "kube-system", "node": { "name": "kind-worker2" } }, "MetricSetFields": { "host_ip": "172.20.0.3", - "ip": "10.244.1.2", - "name": "redis", + "ip": "172.20.0.3", + "name": "kube-proxy-lf6md", "status": { "phase": "running", "ready": "true", @@ -188,17 +176,15 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { - "name": "kind-worker" + "name": "kind-control-plane" } }, "MetricSetFields": { - "host_ip": "172.20.0.4", - "ip": "10.244.2.2", - "name": "kube-state-metrics-f655d484d-hj69w", + "host_ip": "172.20.0.2", + "ip": "172.20.0.2", + "name": "kube-controller-manager-kind-control-plane", "status": { "phase": "running", "ready": "true", @@ -219,9 +205,7 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "kind-control-plane" } @@ -229,7 +213,7 @@ "MetricSetFields": { "host_ip": "172.20.0.2", "ip": "172.20.0.2", - "name": "kindnet-kch2v", + "name": "kube-apiserver-kind-control-plane", "status": { "phase": "running", "ready": "true", @@ -250,17 +234,15 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { - "name": "kind-worker2" + "name": "kind-control-plane" } }, "MetricSetFields": { - "host_ip": "172.20.0.3", - "ip": "172.20.0.3", - "name": "kindnet-tg7tl", + "host_ip": "172.20.0.2", + "ip": "172.20.0.2", + "name": "etcd-kind-control-plane", "status": { "phase": "running", "ready": "true", @@ -281,17 +263,15 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "default", "node": { "name": "kind-worker" } }, "MetricSetFields": { "host_ip": "172.20.0.4", - "ip": "172.20.0.4", - "name": "kindnet-9fgst", + "ip": "10.244.2.3", + "name": "hello-python-566b5479f5-ndwdl", "status": { "phase": "running", "ready": "true", @@ -312,9 +292,7 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "kind-control-plane" } @@ -322,7 +300,7 @@ "MetricSetFields": { "host_ip": "172.20.0.2", "ip": "172.20.0.2", - "name": "kube-controller-manager-kind-control-plane", + "name": "kube-proxy-cm525", "status": { "phase": "running", "ready": "true", @@ -343,17 +321,15 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "local-path-storage", "node": { "name": "kind-control-plane" } }, "MetricSetFields": { "host_ip": "172.20.0.2", - "ip": "172.20.0.2", - "name": "kube-apiserver-kind-control-plane", + "ip": "10.244.0.4", + "name": "local-path-provisioner-5bf465b47d-h8hjn", "status": { "phase": "running", "ready": "true", @@ -374,17 +350,15 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { - "name": "kind-control-plane" + "name": "kind-worker" } }, "MetricSetFields": { - "host_ip": "172.20.0.2", - "ip": "172.20.0.2", - "name": "etcd-kind-control-plane", + "host_ip": "172.20.0.4", + "ip": "10.244.2.2", + "name": "kube-state-metrics-f655d484d-hj69w", "status": { "phase": "running", "ready": "true", @@ -405,20 +379,18 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "default" - }, + "namespace": "kube-system", "node": { - "name": "kind-worker" + "name": "kind-control-plane" } }, "MetricSetFields": { - "host_ip": "172.20.0.3", - "ip": "10.244.2.2", - "name": "hello-zf6gh", + "host_ip": "172.20.0.2", + "ip": "172.20.0.2", + "name": "kube-scheduler-kind-control-plane", "status": { - "phase": "succeeded", - "ready": "false", + "phase": "running", + "ready": "true", "scheduled": "true" } }, @@ -436,20 +408,18 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "default", "node": { "name": "kind-worker" } }, "MetricSetFields": { - "host_ip": "172.20.0.4", - "ip": "172.20.0.4", - "name": "kube-proxy-22znl", + "host_ip": "172.20.0.3", + "ip": "10.244.2.2", + "name": "hello-zf6gh", "status": { - "phase": "running", - "ready": "true", + "phase": "succeeded", + "ready": "false", "scheduled": "true" } }, @@ -467,17 +437,15 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { - "name": "kind-worker2" + "name": "kind-control-plane" } }, "MetricSetFields": { - "host_ip": "172.20.0.3", - "ip": "172.20.0.3", - "name": "kube-proxy-lf6md", + "host_ip": "172.20.0.2", + "ip": "172.20.0.2", + "name": "kindnet-kch2v", "status": { "phase": "running", "ready": "true", @@ -498,17 +466,15 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "local-path-storage" - }, + "namespace": "kube-system", "node": { - "name": "kind-control-plane" + "name": "kind-worker2" } }, "MetricSetFields": { - "host_ip": "172.20.0.2", - "ip": "10.244.0.4", - "name": "local-path-provisioner-5bf465b47d-h8hjn", + "host_ip": "172.20.0.3", + "ip": "172.20.0.3", + "name": "metricbeat-55fp7", "status": { "phase": "running", "ready": "true", @@ -529,17 +495,15 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { - "name": "kind-control-plane" + "name": "kind-worker" } }, "MetricSetFields": { - "host_ip": "172.20.0.2", - "ip": "10.244.0.3", - "name": "coredns-5644d7b6d9-zgdsx", + "host_ip": "172.20.0.4", + "ip": "172.20.0.4", + "name": "metricbeat-bvr2v", "status": { "phase": "running", "ready": "true", @@ -560,17 +524,15 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { - "name": "kind-control-plane" + "name": "kind-worker2" } }, "MetricSetFields": { - "host_ip": "172.20.0.2", - "ip": "10.244.0.2", - "name": "coredns-5644d7b6d9-nnwmb", + "host_ip": "172.20.0.3", + "ip": "172.20.0.3", + "name": "kindnet-tg7tl", "status": { "phase": "running", "ready": "true", diff --git a/metricbeat/module/kubernetes/state_pod/_meta/testdata/docs.plain-expected.json b/metricbeat/module/kubernetes/state_pod/_meta/testdata/docs.plain-expected.json index 7816dfea70f..09de4a43609 100644 --- a/metricbeat/module/kubernetes/state_pod/_meta/testdata/docs.plain-expected.json +++ b/metricbeat/module/kubernetes/state_pod/_meta/testdata/docs.plain-expected.json @@ -6,16 +6,14 @@ "module": "kubernetes" }, "kubernetes": { - "namespace": { - "name": "jenkins" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, "pod": { "host_ip": "192.168.99.100", - "ip": "172.17.0.7", - "name": "wise-lynx-jenkins-1616735317-svn6k", + "ip": "172.17.0.2", + "name": "tiller-deploy-3067024529-9lpmb", "status": { "phase": "running", "ready": "true", @@ -39,16 +37,14 @@ "module": "kubernetes" }, "kubernetes": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, "pod": { "host_ip": "192.168.99.100", - "ip": "172.17.0.6", - "name": "kube-dns-v20-5g5cb", + "ip": "172.17.0.3", + "name": "kube-state-metrics-1303537707-7ncd1", "status": { "phase": "running", "ready": "true", @@ -72,9 +68,7 @@ "module": "kubernetes" }, "kubernetes": { - "namespace": { - "name": "default" - }, + "namespace": "default", "node": { "name": "minikube" }, @@ -105,20 +99,18 @@ "module": "kubernetes" }, "kubernetes": { - "namespace": { - "name": "kube-system" - }, + "namespace": "test", "node": { - "name": "minikube" + "name": "minikube-test" }, "pod": { - "host_ip": "192.168.99.100", - "ip": "172.17.0.3", - "name": "kube-state-metrics-1303537707-7ncd1", + "host_ip": "192.168.99.200", + "ip": "172.17.0.5", + "name": "jumpy-owl-redis-3481028193-s78x9", "status": { "phase": "running", "ready": "true", - "scheduled": "true" + "scheduled": "false" } } }, @@ -138,14 +130,18 @@ "module": "kubernetes" }, "kubernetes": { - "namespace": { - "name": "kube-system" + "namespace": "jenkins", + "node": { + "name": "minikube" }, "pod": { - "name": "kube-state-metrics-1303537707-mnzbp", + "host_ip": "192.168.99.100", + "ip": "172.17.0.7", + "name": "wise-lynx-jenkins-1616735317-svn6k", "status": { - "phase": "pending", - "scheduled": "false" + "phase": "running", + "ready": "true", + "scheduled": "true" } } }, @@ -165,20 +161,12 @@ "module": "kubernetes" }, "kubernetes": { - "namespace": { - "name": "kube-system" - }, - "node": { - "name": "minikube" - }, + "namespace": "kube-system", "pod": { - "host_ip": "192.168.99.100", - "ip": "172.17.0.5", - "name": "kubernetes-dashboard-vw0l6", + "name": "kube-state-metrics-1303537707-mnzbp", "status": { - "phase": "running", - "ready": "true", - "scheduled": "true" + "phase": "pending", + "scheduled": "false" } } }, @@ -198,20 +186,18 @@ "module": "kubernetes" }, "kubernetes": { - "namespace": { - "name": "test" - }, + "namespace": "kube-system", "node": { - "name": "minikube-test" + "name": "minikube" }, "pod": { - "host_ip": "192.168.99.200", - "ip": "172.17.0.5", - "name": "jumpy-owl-redis-3481028193-s78x9", + "host_ip": "192.168.99.100", + "ip": "172.17.0.6", + "name": "kube-dns-v20-5g5cb", "status": { "phase": "running", "ready": "true", - "scheduled": "false" + "scheduled": "true" } } }, @@ -231,16 +217,14 @@ "module": "kubernetes" }, "kubernetes": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, "pod": { "host_ip": "192.168.99.100", - "ip": "172.17.0.2", - "name": "tiller-deploy-3067024529-9lpmb", + "ip": "172.17.0.5", + "name": "kubernetes-dashboard-vw0l6", "status": { "phase": "running", "ready": "true", @@ -264,9 +248,7 @@ "module": "kubernetes" }, "kubernetes": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "node": { "name": "minikube" }, diff --git a/metricbeat/module/kubernetes/state_pod/state_pod.go b/metricbeat/module/kubernetes/state_pod/state_pod.go index e4bd290850b..ea742ab26bd 100644 --- a/metricbeat/module/kubernetes/state_pod/state_pod.go +++ b/metricbeat/module/kubernetes/state_pod/state_pod.go @@ -49,7 +49,7 @@ var ( Labels: map[string]p.LabelMap{ "pod": p.KeyLabel("name"), - "namespace": p.KeyLabel(mb.ModuleDataKey + ".namespace.name"), + "namespace": p.KeyLabel(mb.ModuleDataKey + ".namespace"), "node": p.Label(mb.ModuleDataKey + ".node.name"), "pod_ip": p.Label("ip"), diff --git a/metricbeat/module/kubernetes/state_replicaset/_meta/data.json b/metricbeat/module/kubernetes/state_replicaset/_meta/data.json index 0c1091c8ad5..f4441104d6b 100644 --- a/metricbeat/module/kubernetes/state_replicaset/_meta/data.json +++ b/metricbeat/module/kubernetes/state_replicaset/_meta/data.json @@ -6,17 +6,15 @@ "module": "kubernetes" }, "kubernetes": { - "namespace": { - "name": "jenkins" - }, + "namespace": "default", "replicaset": { - "name": "wise-lynx-jenkins-1616735317", + "name": "jumpy-owl-redis-3481028193", "replicas": { "available": 1, "desired": 1, "labeled": 1, "observed": 1, - "ready": 1 + "ready": 0 } } }, diff --git a/metricbeat/module/kubernetes/state_replicaset/_meta/test/ksm.v1.3.0.expected b/metricbeat/module/kubernetes/state_replicaset/_meta/test/ksm.v1.3.0.expected index c8a26911c7b..1705a5a87dc 100644 --- a/metricbeat/module/kubernetes/state_replicaset/_meta/test/ksm.v1.3.0.expected +++ b/metricbeat/module/kubernetes/state_replicaset/_meta/test/ksm.v1.3.0.expected @@ -2,12 +2,10 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - } + "namespace": "kube-system" }, "MetricSetFields": { - "name": "kube-state-metrics-6479d88c5c", + "name": "kubernetes-dashboard-77d8b98585", "replicas": { "available": 1, "desired": 1, @@ -30,18 +28,16 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - } + "namespace": "kube-system" }, "MetricSetFields": { - "name": "kube-state-metrics-86dd856df7", + "name": "kube-state-metrics-6479d88c5c", "replicas": { - "available": 0, - "desired": 0, - "labeled": 0, - "observed": 2, - "ready": 0 + "available": 1, + "desired": 1, + "labeled": 1, + "observed": 1, + "ready": 1 } }, "Index": "", @@ -58,9 +54,7 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - } + "namespace": "kube-system" }, "MetricSetFields": { "name": "kube-dns-6f4fd4bdf", @@ -86,18 +80,16 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - } + "namespace": "kube-system" }, "MetricSetFields": { - "name": "kubernetes-dashboard-77d8b98585", + "name": "kube-state-metrics-86dd856df7", "replicas": { - "available": 1, - "desired": 1, - "labeled": 1, - "observed": 1, - "ready": 1 + "available": 0, + "desired": 0, + "labeled": 0, + "observed": 2, + "ready": 0 } }, "Index": "", diff --git a/metricbeat/module/kubernetes/state_replicaset/_meta/test/ksm.v1.8.0.expected b/metricbeat/module/kubernetes/state_replicaset/_meta/test/ksm.v1.8.0.expected index 9cc72c20d21..d292785f458 100644 --- a/metricbeat/module/kubernetes/state_replicaset/_meta/test/ksm.v1.8.0.expected +++ b/metricbeat/module/kubernetes/state_replicaset/_meta/test/ksm.v1.8.0.expected @@ -2,18 +2,16 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - } + "namespace": "kube-system" }, "MetricSetFields": { - "name": "kube-state-metrics-898d4db8d", + "name": "coredns-5644d7b6d9", "replicas": { - "available": 1, - "desired": 1, - "labeled": 1, + "available": 2, + "desired": 2, + "labeled": 2, "observed": 1, - "ready": 1 + "ready": 2 } }, "Index": "", @@ -30,18 +28,16 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - } + "namespace": "kube-system" }, "MetricSetFields": { - "name": "coredns-5644d7b6d9", + "name": "kube-state-metrics-898d4db8d", "replicas": { - "available": 2, - "desired": 2, - "labeled": 2, + "available": 1, + "desired": 1, + "labeled": 1, "observed": 1, - "ready": 2 + "ready": 1 } }, "Index": "", diff --git a/metricbeat/module/kubernetes/state_replicaset/_meta/test/ksm.v2.0.0.expected b/metricbeat/module/kubernetes/state_replicaset/_meta/test/ksm.v2.0.0.expected index 229e8e3f5db..fb06db2106b 100644 --- a/metricbeat/module/kubernetes/state_replicaset/_meta/test/ksm.v2.0.0.expected +++ b/metricbeat/module/kubernetes/state_replicaset/_meta/test/ksm.v2.0.0.expected @@ -2,12 +2,10 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "default" - } + "namespace": "kube-system" }, "MetricSetFields": { - "name": "hello-python-566b5479f5", + "name": "kube-state-metrics-f655d484d", "replicas": { "available": 1, "desired": 1, @@ -30,18 +28,16 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - } + "namespace": "default" }, "MetricSetFields": { - "name": "coredns-5644d7b6d9", + "name": "hello-python-566b5479f5", "replicas": { - "available": 2, - "desired": 2, - "labeled": 2, + "available": 1, + "desired": 1, + "labeled": 1, "observed": 1, - "ready": 2 + "ready": 1 } }, "Index": "", @@ -58,18 +54,16 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "local-path-storage" - } + "namespace": "kube-system" }, "MetricSetFields": { - "name": "local-path-provisioner-5bf465b47d", + "name": "coredns-5644d7b6d9", "replicas": { - "available": 1, - "desired": 1, - "labeled": 1, + "available": 2, + "desired": 2, + "labeled": 2, "observed": 1, - "ready": 1 + "ready": 2 } }, "Index": "", @@ -86,12 +80,10 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - } + "namespace": "local-path-storage" }, "MetricSetFields": { - "name": "kube-state-metrics-f655d484d", + "name": "local-path-provisioner-5bf465b47d", "replicas": { "available": 1, "desired": 1, diff --git a/metricbeat/module/kubernetes/state_replicaset/_meta/testdata/docs.plain-expected.json b/metricbeat/module/kubernetes/state_replicaset/_meta/testdata/docs.plain-expected.json index 72df48f77e8..cfdafbd4cc3 100644 --- a/metricbeat/module/kubernetes/state_replicaset/_meta/testdata/docs.plain-expected.json +++ b/metricbeat/module/kubernetes/state_replicaset/_meta/testdata/docs.plain-expected.json @@ -6,17 +6,15 @@ "module": "kubernetes" }, "kubernetes": { - "namespace": { - "name": "jenkins" - }, + "namespace": "default", "replicaset": { - "name": "wise-lynx-jenkins-1616735317", + "name": "jumpy-owl-redis-3481028193", "replicas": { "available": 1, "desired": 1, "labeled": 1, "observed": 1, - "ready": 1 + "ready": 0 } } }, @@ -36,17 +34,15 @@ "module": "kubernetes" }, "kubernetes": { - "namespace": { - "name": "kube-system" - }, + "namespace": "test", "replicaset": { - "name": "tiller-deploy-3067024529", + "name": "kube-state-metrics-1303537707", "replicas": { - "available": 1, - "desired": 1, - "labeled": 1, - "observed": 1, - "ready": 1 + "available": 7, + "desired": 3, + "labeled": 4, + "observed": 5, + "ready": 6 } } }, @@ -66,17 +62,15 @@ "module": "kubernetes" }, "kubernetes": { - "namespace": { - "name": "test" - }, + "namespace": "kube-system", "replicaset": { "name": "kube-state-metrics-1303537707", "replicas": { - "available": 7, - "desired": 3, - "labeled": 4, - "observed": 5, - "ready": 6 + "available": 2, + "desired": 2, + "labeled": 2, + "observed": 1, + "ready": 1 } } }, @@ -96,17 +90,15 @@ "module": "kubernetes" }, "kubernetes": { - "namespace": { - "name": "default" - }, + "namespace": "jenkins", "replicaset": { - "name": "jumpy-owl-redis-3481028193", + "name": "wise-lynx-jenkins-1616735317", "replicas": { "available": 1, "desired": 1, "labeled": 1, "observed": 1, - "ready": 0 + "ready": 1 } } }, @@ -126,15 +118,13 @@ "module": "kubernetes" }, "kubernetes": { - "namespace": { - "name": "kube-system" - }, + "namespace": "kube-system", "replicaset": { - "name": "kube-state-metrics-1303537707", + "name": "tiller-deploy-3067024529", "replicas": { - "available": 2, - "desired": 2, - "labeled": 2, + "available": 1, + "desired": 1, + "labeled": 1, "observed": 1, "ready": 1 } diff --git a/metricbeat/module/kubernetes/state_replicaset/state_replicaset.go b/metricbeat/module/kubernetes/state_replicaset/state_replicaset.go index 5a28a237a77..7ee8e62864a 100644 --- a/metricbeat/module/kubernetes/state_replicaset/state_replicaset.go +++ b/metricbeat/module/kubernetes/state_replicaset/state_replicaset.go @@ -51,7 +51,7 @@ var ( Labels: map[string]p.LabelMap{ "replicaset": p.KeyLabel("name"), - "namespace": p.KeyLabel(mb.ModuleDataKey + ".namespace.name"), + "namespace": p.KeyLabel(mb.ModuleDataKey + ".namespace"), }, } ) diff --git a/metricbeat/module/kubernetes/state_resourcequota/_meta/test/ksm.v1.8.0.expected b/metricbeat/module/kubernetes/state_resourcequota/_meta/test/ksm.v1.8.0.expected index 5946cf6c8cb..071423392dc 100644 --- a/metricbeat/module/kubernetes/state_resourcequota/_meta/test/ksm.v1.8.0.expected +++ b/metricbeat/module/kubernetes/state_resourcequota/_meta/test/ksm.v1.8.0.expected @@ -2,14 +2,12 @@ { "RootFields": {}, "ModuleFields": { - "namespace": { - "name": "myspace" - } + "namespace": "myspace" }, "MetricSetFields": { "name": "object-counts", - "quota": 20, - "resource": "replicationcontrollers", + "quota": 10, + "resource": "services", "type": "hard" }, "Index": "", @@ -26,15 +24,13 @@ { "RootFields": {}, "ModuleFields": { - "namespace": { - "name": "myspace" - } + "namespace": "myspace" }, "MetricSetFields": { "name": "object-counts", - "quota": 4, - "resource": "pods", - "type": "hard" + "quota": 0, + "resource": "replicationcontrollers", + "type": "used" }, "Index": "", "ID": "", @@ -50,15 +46,13 @@ { "RootFields": {}, "ModuleFields": { - "namespace": { - "name": "myspace" - } + "namespace": "myspace" }, "MetricSetFields": { - "name": "object-counts", - "quota": 10, - "resource": "configmaps", - "type": "hard" + "name": "compute-resources", + "quota": 0, + "resource": "requests.memory", + "type": "used" }, "Index": "", "ID": "", @@ -74,15 +68,13 @@ { "RootFields": {}, "ModuleFields": { - "namespace": { - "name": "myspace" - } + "namespace": "myspace" }, "MetricSetFields": { - "name": "object-counts", - "quota": 4, - "resource": "persistentvolumeclaims", - "type": "hard" + "created": { + "sec": 1578507202 + }, + "name": "compute-resources" }, "Index": "", "ID": "", @@ -98,14 +90,12 @@ { "RootFields": {}, "ModuleFields": { - "namespace": { - "name": "myspace" - } + "namespace": "myspace" }, "MetricSetFields": { "name": "compute-resources", - "quota": 1073741824, - "resource": "requests.memory", + "quota": 2147483648, + "resource": "limits.memory", "type": "hard" }, "Index": "", @@ -122,15 +112,13 @@ { "RootFields": {}, "ModuleFields": { - "namespace": { - "name": "myspace" - } + "namespace": "myspace" }, "MetricSetFields": { "name": "object-counts", - "quota": 0, + "quota": 4, "resource": "persistentvolumeclaims", - "type": "used" + "type": "hard" }, "Index": "", "ID": "", @@ -146,15 +134,13 @@ { "RootFields": {}, "ModuleFields": { - "namespace": { - "name": "myspace" - } + "namespace": "myspace" }, "MetricSetFields": { "name": "compute-resources", - "quota": 0, - "resource": "limits.memory", - "type": "used" + "quota": 1073741824, + "resource": "requests.memory", + "type": "hard" }, "Index": "", "ID": "", @@ -170,15 +156,13 @@ { "RootFields": {}, "ModuleFields": { - "namespace": { - "name": "myspace" - } + "namespace": "myspace" }, "MetricSetFields": { "name": "object-counts", - "quota": 10, - "resource": "services", - "type": "hard" + "quota": 0, + "resource": "persistentvolumeclaims", + "type": "used" }, "Index": "", "ID": "", @@ -194,15 +178,13 @@ { "RootFields": {}, "ModuleFields": { - "namespace": { - "name": "myspace" - } + "namespace": "myspace" }, "MetricSetFields": { - "name": "compute-resources", - "quota": 0, - "resource": "requests.memory", - "type": "used" + "name": "object-counts", + "quota": 4, + "resource": "pods", + "type": "hard" }, "Index": "", "ID": "", @@ -218,15 +200,13 @@ { "RootFields": {}, "ModuleFields": { - "namespace": { - "name": "myspace" - } + "namespace": "myspace" }, "MetricSetFields": { "name": "object-counts", - "quota": 0, + "quota": 20, "resource": "replicationcontrollers", - "type": "used" + "type": "hard" }, "Index": "", "ID": "", @@ -242,14 +222,12 @@ { "RootFields": {}, "ModuleFields": { - "namespace": { - "name": "myspace" - } + "namespace": "myspace" }, "MetricSetFields": { - "name": "compute-resources", - "quota": 2147483648, - "resource": "limits.memory", + "name": "object-counts", + "quota": 10, + "resource": "configmaps", "type": "hard" }, "Index": "", @@ -266,15 +244,13 @@ { "RootFields": {}, "ModuleFields": { - "namespace": { - "name": "myspace" - } + "namespace": "myspace" }, "MetricSetFields": { - "created": { - "sec": 1578507202 - }, - "name": "compute-resources" + "name": "compute-resources", + "quota": 0, + "resource": "limits.memory", + "type": "used" }, "Index": "", "ID": "", @@ -290,15 +266,13 @@ { "RootFields": {}, "ModuleFields": { - "namespace": { - "name": "myspace" - } + "namespace": "myspace" }, "MetricSetFields": { - "created": { - "sec": 1578507217 - }, - "name": "object-counts" + "name": "object-counts", + "quota": 10, + "resource": "secrets", + "type": "hard" }, "Index": "", "ID": "", @@ -314,14 +288,12 @@ { "RootFields": {}, "ModuleFields": { - "namespace": { - "name": "myspace" - } + "namespace": "myspace" }, "MetricSetFields": { - "name": "compute-resources", + "name": "object-counts", "quota": 0, - "resource": "requests.nvidia.com/gpu", + "resource": "services", "type": "used" }, "Index": "", @@ -338,15 +310,13 @@ { "RootFields": {}, "ModuleFields": { - "namespace": { - "name": "myspace" - } + "namespace": "myspace" }, "MetricSetFields": { "name": "object-counts", - "quota": 1, - "resource": "secrets", - "type": "used" + "quota": 2, + "resource": "services.loadbalancers", + "type": "hard" }, "Index": "", "ID": "", @@ -362,14 +332,12 @@ { "RootFields": {}, "ModuleFields": { - "namespace": { - "name": "myspace" - } + "namespace": "myspace" }, "MetricSetFields": { - "name": "object-counts", + "name": "compute-resources", "quota": 0, - "resource": "pods", + "resource": "limits.cpu", "type": "used" }, "Index": "", @@ -386,15 +354,13 @@ { "RootFields": {}, "ModuleFields": { - "namespace": { - "name": "myspace" - } + "namespace": "myspace" }, "MetricSetFields": { - "name": "compute-resources", - "quota": 1, - "resource": "requests.cpu", - "type": "hard" + "name": "object-counts", + "quota": 0, + "resource": "configmaps", + "type": "used" }, "Index": "", "ID": "", @@ -410,15 +376,13 @@ { "RootFields": {}, "ModuleFields": { - "namespace": { - "name": "myspace" - } + "namespace": "myspace" }, "MetricSetFields": { - "name": "compute-resources", - "quota": 4, - "resource": "requests.nvidia.com/gpu", - "type": "hard" + "name": "object-counts", + "quota": 1, + "resource": "secrets", + "type": "used" }, "Index": "", "ID": "", @@ -434,15 +398,13 @@ { "RootFields": {}, "ModuleFields": { - "namespace": { - "name": "myspace" - } + "namespace": "myspace" }, "MetricSetFields": { - "name": "compute-resources", - "quota": 2, - "resource": "limits.cpu", - "type": "hard" + "name": "object-counts", + "quota": 0, + "resource": "pods", + "type": "used" }, "Index": "", "ID": "", @@ -458,14 +420,12 @@ { "RootFields": {}, "ModuleFields": { - "namespace": { - "name": "myspace" - } + "namespace": "myspace" }, "MetricSetFields": { - "name": "object-counts", + "name": "compute-resources", "quota": 0, - "resource": "services.loadbalancers", + "resource": "requests.nvidia.com/gpu", "type": "used" }, "Index": "", @@ -482,15 +442,13 @@ { "RootFields": {}, "ModuleFields": { - "namespace": { - "name": "myspace" - } + "namespace": "myspace" }, "MetricSetFields": { - "name": "compute-resources", - "quota": 0, - "resource": "requests.cpu", - "type": "used" + "created": { + "sec": 1578507217 + }, + "name": "object-counts" }, "Index": "", "ID": "", @@ -506,15 +464,13 @@ { "RootFields": {}, "ModuleFields": { - "namespace": { - "name": "myspace" - } + "namespace": "myspace" }, "MetricSetFields": { "name": "object-counts", - "quota": 10, - "resource": "secrets", - "type": "hard" + "quota": 0, + "resource": "services.loadbalancers", + "type": "used" }, "Index": "", "ID": "", @@ -530,15 +486,13 @@ { "RootFields": {}, "ModuleFields": { - "namespace": { - "name": "myspace" - } + "namespace": "myspace" }, "MetricSetFields": { - "name": "object-counts", - "quota": 0, - "resource": "services", - "type": "used" + "name": "compute-resources", + "quota": 2, + "resource": "limits.cpu", + "type": "hard" }, "Index": "", "ID": "", @@ -554,15 +508,13 @@ { "RootFields": {}, "ModuleFields": { - "namespace": { - "name": "myspace" - } + "namespace": "myspace" }, "MetricSetFields": { - "name": "object-counts", - "quota": 2, - "resource": "services.loadbalancers", - "type": "hard" + "name": "compute-resources", + "quota": 0, + "resource": "requests.cpu", + "type": "used" }, "Index": "", "ID": "", @@ -578,15 +530,13 @@ { "RootFields": {}, "ModuleFields": { - "namespace": { - "name": "myspace" - } + "namespace": "myspace" }, "MetricSetFields": { - "name": "object-counts", - "quota": 0, - "resource": "configmaps", - "type": "used" + "name": "compute-resources", + "quota": 1, + "resource": "requests.cpu", + "type": "hard" }, "Index": "", "ID": "", @@ -602,15 +552,13 @@ { "RootFields": {}, "ModuleFields": { - "namespace": { - "name": "myspace" - } + "namespace": "myspace" }, "MetricSetFields": { "name": "compute-resources", - "quota": 0, - "resource": "limits.cpu", - "type": "used" + "quota": 4, + "resource": "requests.nvidia.com/gpu", + "type": "hard" }, "Index": "", "ID": "", diff --git a/metricbeat/module/kubernetes/state_resourcequota/state_resourcequota.go b/metricbeat/module/kubernetes/state_resourcequota/state_resourcequota.go index 5fb72e5b577..eb8bc6ddf35 100644 --- a/metricbeat/module/kubernetes/state_resourcequota/state_resourcequota.go +++ b/metricbeat/module/kubernetes/state_resourcequota/state_resourcequota.go @@ -63,7 +63,7 @@ func NewResourceQuotaMetricSet(base mb.BaseMetricSet) (mb.MetricSet, error) { "kube_resourcequota": p.Metric("quota"), }, Labels: map[string]p.LabelMap{ - "namespace": p.KeyLabel(mb.ModuleDataKey + ".namespace.name"), + "namespace": p.KeyLabel(mb.ModuleDataKey + ".namespace"), "resourcequota": p.KeyLabel("name"), "resource": p.KeyLabel("resource"), diff --git a/metricbeat/module/kubernetes/state_service/_meta/test/ksm.unit.v1.8.0.expected b/metricbeat/module/kubernetes/state_service/_meta/test/ksm.unit.v1.8.0.expected index 8f34da5871b..d0c0c46a4ad 100644 --- a/metricbeat/module/kubernetes/state_service/_meta/test/ksm.unit.v1.8.0.expected +++ b/metricbeat/module/kubernetes/state_service/_meta/test/ksm.unit.v1.8.0.expected @@ -3,17 +3,15 @@ "RootFields": null, "ModuleFields": { "labels": { - "app": "example4" + "app": "example2" }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "MetricSetFields": { + "cluster_ip": "1.2.3.5", "created": "2017-07-14T02:40:00.000Z", - "external_name": "www.example.com", - "name": "test-service4", - "type": "ExternalName" + "name": "test-service2", + "type": "NodePort" }, "Index": "", "ID": "", @@ -30,17 +28,16 @@ "RootFields": null, "ModuleFields": { "labels": { - "app": "example2" + "app": "example3" }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "MetricSetFields": { - "cluster_ip": "1.2.3.5", + "cluster_ip": "1.2.3.6", "created": "2017-07-14T02:40:00.000Z", - "name": "test-service2", - "type": "NodePort" + "load_balancer_ip": "1.2.3.7", + "name": "test-service3", + "type": "LoadBalancer" }, "Index": "", "ID": "", @@ -57,17 +54,15 @@ "RootFields": null, "ModuleFields": { "labels": { - "app": "example3" + "app": "example5" }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "MetricSetFields": { - "cluster_ip": "1.2.3.6", "created": "2017-07-14T02:40:00.000Z", - "load_balancer_ip": "1.2.3.7", - "name": "test-service3", + "ingress_hostname": "www.example.com", + "ingress_ip": "1.2.3.8", + "name": "test-service5", "type": "LoadBalancer" }, "Index": "", @@ -85,18 +80,15 @@ "RootFields": null, "ModuleFields": { "labels": { - "app": "example5" + "app": "example4" }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "MetricSetFields": { "created": "2017-07-14T02:40:00.000Z", - "ingress_hostname": "www.example.com", - "ingress_ip": "1.2.3.8", - "name": "test-service5", - "type": "LoadBalancer" + "external_name": "www.example.com", + "name": "test-service4", + "type": "ExternalName" }, "Index": "", "ID": "", @@ -115,9 +107,7 @@ "labels": { "app": "example6" }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "MetricSetFields": { "created": "2017-07-14T02:40:00.000Z", @@ -142,9 +132,7 @@ "labels": { "app": "example1" }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "MetricSetFields": { "cluster_ip": "1.2.3.4", diff --git a/metricbeat/module/kubernetes/state_service/_meta/test/ksm.v1.3.0.expected b/metricbeat/module/kubernetes/state_service/_meta/test/ksm.v1.3.0.expected index 8921833ee55..5717193d8a2 100644 --- a/metricbeat/module/kubernetes/state_service/_meta/test/ksm.v1.3.0.expected +++ b/metricbeat/module/kubernetes/state_service/_meta/test/ksm.v1.3.0.expected @@ -3,19 +3,18 @@ "RootFields": null, "ModuleFields": { "labels": { - "k8s_app": "kube-dns", - "kubernetes_io_cluster_service": "true", - "kubernetes_io_name": "KubeDNS" + "addonmanager_kubernetes_io_mode": "Reconcile", + "app": "kubernetes-dashboard", + "kubernetes_io_minikube_addons": "dashboard", + "kubernetes_io_minikube_addons_endpoint": "dashboard" }, - "namespace": { - "name": "kube-system" - } + "namespace": "kube-system" }, "MetricSetFields": { - "cluster_ip": "10.96.0.10", - "created": "2018-05-30T16:24:36.000Z", - "name": "kube-dns", - "type": "ClusterIP" + "cluster_ip": "10.109.175.127", + "created": "2018-05-30T16:24:44.000Z", + "name": "kubernetes-dashboard", + "type": "NodePort" }, "Index": "", "ID": "", @@ -32,17 +31,16 @@ "RootFields": null, "ModuleFields": { "labels": { - "component": "apiserver", - "provider": "kubernetes" + "k8s_app": "kube-dns", + "kubernetes_io_cluster_service": "true", + "kubernetes_io_name": "KubeDNS" }, - "namespace": { - "name": "default" - } + "namespace": "kube-system" }, "MetricSetFields": { - "cluster_ip": "10.96.0.1", - "created": "2018-05-30T16:24:29.000Z", - "name": "kubernetes", + "cluster_ip": "10.96.0.10", + "created": "2018-05-30T16:24:36.000Z", + "name": "kube-dns", "type": "ClusterIP" }, "Index": "", @@ -60,20 +58,16 @@ "RootFields": null, "ModuleFields": { "labels": { - "addonmanager_kubernetes_io_mode": "Reconcile", - "app": "kubernetes-dashboard", - "kubernetes_io_minikube_addons": "dashboard", - "kubernetes_io_minikube_addons_endpoint": "dashboard" + "component": "apiserver", + "provider": "kubernetes" }, - "namespace": { - "name": "kube-system" - } + "namespace": "default" }, "MetricSetFields": { - "cluster_ip": "10.109.175.127", - "created": "2018-05-30T16:24:44.000Z", - "name": "kubernetes-dashboard", - "type": "NodePort" + "cluster_ip": "10.96.0.1", + "created": "2018-05-30T16:24:29.000Z", + "name": "kubernetes", + "type": "ClusterIP" }, "Index": "", "ID": "", @@ -92,9 +86,7 @@ "labels": { "k8s_app": "kube-state-metrics" }, - "namespace": { - "name": "kube-system" - } + "namespace": "kube-system" }, "MetricSetFields": { "cluster_ip": "10.108.182.194", diff --git a/metricbeat/module/kubernetes/state_service/_meta/test/ksm.v1.8.0.expected b/metricbeat/module/kubernetes/state_service/_meta/test/ksm.v1.8.0.expected index d56cabf40b5..9e7b4c7cd3b 100644 --- a/metricbeat/module/kubernetes/state_service/_meta/test/ksm.v1.8.0.expected +++ b/metricbeat/module/kubernetes/state_service/_meta/test/ksm.v1.8.0.expected @@ -5,9 +5,7 @@ "labels": { "k8s_app": "kube-state-metrics" }, - "namespace": { - "name": "kube-system" - } + "namespace": "kube-system" }, "MetricSetFields": { "cluster_ip": "10.101.63.187", @@ -34,9 +32,7 @@ "kubernetes_io_cluster_service": "true", "kubernetes_io_name": "KubeDNS" }, - "namespace": { - "name": "kube-system" - } + "namespace": "kube-system" }, "MetricSetFields": { "cluster_ip": "10.96.0.10", @@ -59,17 +55,14 @@ "RootFields": null, "ModuleFields": { "labels": { - "component": "apiserver", - "provider": "kubernetes" + "app": "nginx" }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "MetricSetFields": { - "cluster_ip": "10.96.0.1", - "created": "2020-01-07T16:11:02.000Z", - "name": "kubernetes", + "cluster_ip": "None", + "created": "2020-01-08T18:15:25.000Z", + "name": "nginx", "type": "ClusterIP" }, "Index": "", @@ -87,16 +80,15 @@ "RootFields": null, "ModuleFields": { "labels": { - "app": "nginx" + "component": "apiserver", + "provider": "kubernetes" }, - "namespace": { - "name": "default" - } + "namespace": "default" }, "MetricSetFields": { - "cluster_ip": "None", - "created": "2020-01-08T18:15:25.000Z", - "name": "nginx", + "cluster_ip": "10.96.0.1", + "created": "2020-01-07T16:11:02.000Z", + "name": "kubernetes", "type": "ClusterIP" }, "Index": "", diff --git a/metricbeat/module/kubernetes/state_service/_meta/test/ksm.v2.0.0.expected b/metricbeat/module/kubernetes/state_service/_meta/test/ksm.v2.0.0.expected index 58c5637cf15..096ec78662d 100644 --- a/metricbeat/module/kubernetes/state_service/_meta/test/ksm.v2.0.0.expected +++ b/metricbeat/module/kubernetes/state_service/_meta/test/ksm.v2.0.0.expected @@ -2,14 +2,12 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - } + "namespace": "kube-system" }, "MetricSetFields": { - "cluster_ip": "None", - "created": "2021-08-23T13:04:03.000Z", - "name": "kube-state-metrics", + "cluster_ip": "10.96.0.10", + "created": "2021-08-12T14:24:46.000Z", + "name": "kube-dns", "type": "ClusterIP" }, "Index": "", @@ -26,14 +24,12 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "kube-system" - } + "namespace": "kube-system" }, "MetricSetFields": { - "cluster_ip": "10.96.0.10", - "created": "2021-08-12T14:24:46.000Z", - "name": "kube-dns", + "cluster_ip": "None", + "created": "2021-08-23T13:04:03.000Z", + "name": "kube-state-metrics", "type": "ClusterIP" }, "Index": "", @@ -50,9 +46,7 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "default" - } + "namespace": "default" }, "MetricSetFields": { "cluster_ip": "10.96.0.1", diff --git a/metricbeat/module/kubernetes/state_service/state_service.go b/metricbeat/module/kubernetes/state_service/state_service.go index e46ab08623a..6794c36c44f 100644 --- a/metricbeat/module/kubernetes/state_service/state_service.go +++ b/metricbeat/module/kubernetes/state_service/state_service.go @@ -75,7 +75,7 @@ func NewServiceMetricSet(base mb.BaseMetricSet) (mb.MetricSet, error) { "kube_service_status_load_balancer_ingress": p.InfoMetric(), }, Labels: map[string]p.LabelMap{ - "namespace": p.KeyLabel(mb.ModuleDataKey + ".namespace.name"), + "namespace": p.KeyLabel(mb.ModuleDataKey + ".namespace"), "service": p.KeyLabel("name"), "cluster_ip": p.Label("cluster_ip"), "external_name": p.Label("external_name"), diff --git a/metricbeat/module/kubernetes/state_statefulset/_meta/data.json b/metricbeat/module/kubernetes/state_statefulset/_meta/data.json index 96a17077792..776b4a48d93 100644 --- a/metricbeat/module/kubernetes/state_statefulset/_meta/data.json +++ b/metricbeat/module/kubernetes/state_statefulset/_meta/data.json @@ -6,20 +6,18 @@ "module": "kubernetes" }, "kubernetes": { - "namespace": { - "name": "default" - }, + "namespace": "default", "statefulset": { - "created": 1511973651, + "created": 1511989697, "generation": { - "desired": 3, - "observed": 1 + "desired": 4, + "observed": 2 }, - "name": "elasticsearch", + "name": "mysql", "replicas": { - "desired": 4, - "observed": 1, - "ready": 1 + "desired": 5, + "observed": 2, + "ready": 2 } } }, diff --git a/metricbeat/module/kubernetes/state_statefulset/_meta/test/ksm.unit.v2.0.0.expected b/metricbeat/module/kubernetes/state_statefulset/_meta/test/ksm.unit.v2.0.0.expected index d2fe830a9f1..d55d49a0b85 100644 --- a/metricbeat/module/kubernetes/state_statefulset/_meta/test/ksm.unit.v2.0.0.expected +++ b/metricbeat/module/kubernetes/state_statefulset/_meta/test/ksm.unit.v2.0.0.expected @@ -2,9 +2,7 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "default" - } + "namespace": "default" }, "MetricSetFields": { "created": 1629966737, diff --git a/metricbeat/module/kubernetes/state_statefulset/_meta/test/ksm.v1.8.0.expected b/metricbeat/module/kubernetes/state_statefulset/_meta/test/ksm.v1.8.0.expected index ae8659926a3..a5c1c584229 100644 --- a/metricbeat/module/kubernetes/state_statefulset/_meta/test/ksm.v1.8.0.expected +++ b/metricbeat/module/kubernetes/state_statefulset/_meta/test/ksm.v1.8.0.expected @@ -2,9 +2,7 @@ { "RootFields": null, "ModuleFields": { - "namespace": { - "name": "default" - } + "namespace": "default" }, "MetricSetFields": { "created": 1578507325, diff --git a/metricbeat/module/kubernetes/state_statefulset/_meta/testdata/docs.plain-expected.json b/metricbeat/module/kubernetes/state_statefulset/_meta/testdata/docs.plain-expected.json index ef3ba87ef22..8ab015da061 100644 --- a/metricbeat/module/kubernetes/state_statefulset/_meta/testdata/docs.plain-expected.json +++ b/metricbeat/module/kubernetes/state_statefulset/_meta/testdata/docs.plain-expected.json @@ -6,20 +6,18 @@ "module": "kubernetes" }, "kubernetes": { - "namespace": { - "name": "default" - }, + "namespace": "default", "statefulset": { - "created": 1511973651, + "created": 1511989697, "generation": { - "desired": 3, - "observed": 1 + "desired": 4, + "observed": 2 }, - "name": "elasticsearch", + "name": "mysql", "replicas": { - "desired": 4, - "observed": 1, - "ready": 1 + "desired": 5, + "observed": 2, + "ready": 2 } } }, @@ -39,9 +37,7 @@ "module": "kubernetes" }, "kubernetes": { - "namespace": { - "name": "custom" - }, + "namespace": "custom", "statefulset": { "created": 1511999697, "generation": { @@ -72,20 +68,18 @@ "module": "kubernetes" }, "kubernetes": { - "namespace": { - "name": "default" - }, + "namespace": "default", "statefulset": { - "created": 1511989697, + "created": 1511973651, "generation": { - "desired": 4, - "observed": 2 + "desired": 3, + "observed": 1 }, - "name": "mysql", + "name": "elasticsearch", "replicas": { - "desired": 5, - "observed": 2, - "ready": 2 + "desired": 4, + "observed": 1, + "ready": 1 } } }, diff --git a/metricbeat/module/kubernetes/state_statefulset/state_statefulset.go b/metricbeat/module/kubernetes/state_statefulset/state_statefulset.go index 59de9bfeff1..c2c02195206 100644 --- a/metricbeat/module/kubernetes/state_statefulset/state_statefulset.go +++ b/metricbeat/module/kubernetes/state_statefulset/state_statefulset.go @@ -51,7 +51,7 @@ var ( Labels: map[string]p.LabelMap{ "statefulset": p.KeyLabel("name"), - "namespace": p.KeyLabel(mb.ModuleDataKey + ".namespace.name"), + "namespace": p.KeyLabel(mb.ModuleDataKey + ".namespace"), }, } ) diff --git a/metricbeat/module/kubernetes/util/kubernetes.go b/metricbeat/module/kubernetes/util/kubernetes.go index 41e0a2bac16..6f4b7c44d28 100644 --- a/metricbeat/module/kubernetes/util/kubernetes.go +++ b/metricbeat/module/kubernetes/util/kubernetes.go @@ -196,7 +196,7 @@ func NewResourceMetadataEnricher( }, // index func(e common.MapStr) string { - return join(getString(e, mb.ModuleDataKey+".namespace.name"), getString(e, "name")) + return join(getString(e, mb.ModuleDataKey+".namespace"), getString(e, "name")) }, ) diff --git a/metricbeat/module/kubernetes/volume/data.go b/metricbeat/module/kubernetes/volume/data.go index 03508a37155..6170bbadbcc 100644 --- a/metricbeat/module/kubernetes/volume/data.go +++ b/metricbeat/module/kubernetes/volume/data.go @@ -40,9 +40,7 @@ func eventMapping(content []byte) ([]common.MapStr, error) { for _, volume := range pod.Volume { volumeEvent := common.MapStr{ mb.ModuleDataKey: common.MapStr{ - "namespace": common.MapStr{ - "name": pod.PodRef.Namespace, - }, + "namespace": pod.PodRef.Namespace, "node": common.MapStr{ "name": node.NodeName, }, diff --git a/metricbeat/module/openmetrics/collector/_meta/data.json b/metricbeat/module/openmetrics/collector/_meta/data.json index 668e6a88751..d60063a9157 100644 --- a/metricbeat/module/openmetrics/collector/_meta/data.json +++ b/metricbeat/module/openmetrics/collector/_meta/data.json @@ -11,7 +11,7 @@ }, "openmetrics": { "labels": { - "device": "br-33d819d5f834", + "device": "br-3a285aa5e58c", "job": "openmetrics" }, "metrics": { diff --git a/metricbeat/module/prometheus/collector/_meta/data.json b/metricbeat/module/prometheus/collector/_meta/data.json index a46b63c74fe..dba9f7771c4 100644 --- a/metricbeat/module/prometheus/collector/_meta/data.json +++ b/metricbeat/module/prometheus/collector/_meta/data.json @@ -11,10 +11,12 @@ }, "prometheus": { "labels": { - "job": "prometheus" + "job": "prometheus", + "listener_name": "http" }, "metrics": { - "up": 1 + "net_conntrack_listener_conn_accepted_total": 3, + "net_conntrack_listener_conn_closed_total": 0 } }, "service": { diff --git a/packetbeat/docs/fields.asciidoc b/packetbeat/docs/fields.asciidoc index ac1d316d238..c46253bd052 100644 --- a/packetbeat/docs/fields.asciidoc +++ b/packetbeat/docs/fields.asciidoc @@ -17610,47 +17610,16 @@ type: ip -- - -*`kubernetes.namespace.name`*:: +*`kubernetes.namespace`*:: + -- -Kubernetes namespace name +Kubernetes namespace type: keyword -- -*`kubernetes.namespace.uuid`*:: -+ --- -Kubernetes namespace uuid - - -type: keyword - --- - -*`kubernetes.namespace.labels.*`*:: -+ --- -Kubernetes namespace labels map - - -type: object - --- - -*`kubernetes.namespace.annotations.*`*:: -+ --- -Kubernetes namespace annotations map - - -type: object - --- - *`kubernetes.node.name`*:: + -- diff --git a/packetbeat/include/fields.go b/packetbeat/include/fields.go index 870da081b5a..bbd0afc526c 100644 --- a/packetbeat/include/fields.go +++ b/packetbeat/include/fields.go @@ -32,5 +32,5 @@ func init() { // AssetFieldsYml returns asset data. // This is the base64 encoded zlib format compressed contents of fields.yml. func AssetFieldsYml() string { - return 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" + return 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" } diff --git a/winlogbeat/docs/fields.asciidoc b/winlogbeat/docs/fields.asciidoc index 27f561dba39..87762a519c6 100644 --- a/winlogbeat/docs/fields.asciidoc +++ b/winlogbeat/docs/fields.asciidoc @@ -15633,47 +15633,16 @@ type: ip -- - -*`kubernetes.namespace.name`*:: +*`kubernetes.namespace`*:: + -- -Kubernetes namespace name +Kubernetes namespace type: keyword -- -*`kubernetes.namespace.uuid`*:: -+ --- -Kubernetes namespace uuid - - -type: keyword - --- - -*`kubernetes.namespace.labels.*`*:: -+ --- -Kubernetes namespace labels map - - -type: object - --- - -*`kubernetes.namespace.annotations.*`*:: -+ --- -Kubernetes namespace annotations map - - -type: object - --- - *`kubernetes.node.name`*:: + -- diff --git a/winlogbeat/include/fields.go b/winlogbeat/include/fields.go index a89de8466ee..29bc38bff45 100644 --- a/winlogbeat/include/fields.go +++ b/winlogbeat/include/fields.go @@ -32,5 +32,5 @@ func init() { // AssetBuildFieldsFieldsCommonYml returns asset data. // This is the base64 encoded zlib format compressed contents of build/fields/fields.common.yml. func AssetBuildFieldsFieldsCommonYml() string { - return 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" + return 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" } diff --git a/x-pack/elastic-agent/pkg/composable/providers/kubernetes/pod.go b/x-pack/elastic-agent/pkg/composable/providers/kubernetes/pod.go index 5a7a8c4a392..735e123b7c0 100644 --- a/x-pack/elastic-agent/pkg/composable/providers/kubernetes/pod.go +++ b/x-pack/elastic-agent/pkg/composable/providers/kubernetes/pod.go @@ -247,14 +247,13 @@ func generatePodData( return providerData{} } - ckMeta := kubemetaMap.(common.MapStr).Clone() - if len(namespaceAnnotations) != 0 { - ckMeta.Put("namespace.annotations", namespaceAnnotations) - } // k8sMapping includes only the metadata that fall under kubernetes.* // and these are available as dynamic vars through the provider - k8sMapping := map[string]interface{}(ckMeta) + k8sMapping := map[string]interface{}(kubemetaMap.(common.MapStr).Clone()) + if len(namespaceAnnotations) != 0 { + k8sMapping["namespace_annotations"] = namespaceAnnotations + } // Pass annotations to all events so that it can be used in templating and by annotation builders. annotations := common.MapStr{} for k, v := range pod.GetObjectMeta().GetAnnotations() { @@ -314,14 +313,13 @@ func generateContainerData( continue } - ckMeta := kubemetaMap.(common.MapStr).Clone() - if len(namespaceAnnotations) != 0 { - ckMeta.Put("namespace.annotations", namespaceAnnotations) - } // k8sMapping includes only the metadata that fall under kubernetes.* // and these are available as dynamic vars through the provider - k8sMapping := map[string]interface{}(ckMeta) + k8sMapping := map[string]interface{}(kubemetaMap.(common.MapStr).Clone()) + if len(namespaceAnnotations) != 0 { + k8sMapping["namespace_annotations"] = namespaceAnnotations + } // add annotations to be discoverable by templates k8sMapping["annotations"] = annotations diff --git a/x-pack/elastic-agent/pkg/composable/providers/kubernetes/pod_test.go b/x-pack/elastic-agent/pkg/composable/providers/kubernetes/pod_test.go index 5c26d50ea8f..62d4a199892 100644 --- a/x-pack/elastic-agent/pkg/composable/providers/kubernetes/pod_test.go +++ b/x-pack/elastic-agent/pkg/composable/providers/kubernetes/pod_test.go @@ -50,17 +50,15 @@ func TestGeneratePodData(t *testing.T) { data := generatePodData(pod, &Config{}, &podMeta{}, namespaceAnnotations) mapping := map[string]interface{}{ - "namespace": common.MapStr{ - "name": pod.GetNamespace(), - "annotations": common.MapStr{ - "nsa": "nsb", - }, - }, + "namespace": pod.GetNamespace(), "pod": common.MapStr{ "uid": string(pod.GetUID()), "name": pod.GetName(), "ip": pod.Status.PodIP, }, + "namespace_annotations": common.MapStr{ + "nsa": "nsb", + }, "labels": common.MapStr{ "foo": "bar", }, @@ -75,9 +73,7 @@ func TestGeneratePodData(t *testing.T) { "name": "devcluster", "url": "8.8.8.8:9090"}, }, "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "testns", - }, + "namespace": "testns", "labels": common.MapStr{ "foo": "bar", }, @@ -161,12 +157,7 @@ func TestGenerateContainerPodData(t *testing.T) { }) mapping := map[string]interface{}{ - "namespace": common.MapStr{ - "name": pod.GetNamespace(), - "annotations": common.MapStr{ - "nsa": "nsb", - }, - }, + "namespace": pod.GetNamespace(), "pod": common.MapStr{ "uid": string(pod.GetUID()), "name": pod.GetName(), @@ -180,6 +171,9 @@ func TestGenerateContainerPodData(t *testing.T) { "port": "80", "port_name": "http", }, + "namespace_annotations": common.MapStr{ + "nsa": "nsb", + }, "annotations": common.MapStr{ "app": "production", }, @@ -198,9 +192,7 @@ func TestGenerateContainerPodData(t *testing.T) { "name": "devcluster", "url": "8.8.8.8:9090"}, }, "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "testns", - }, + "namespace": "testns", "annotations": common.MapStr{"app": "production"}, "labels": common.MapStr{"foo": "bar"}, "pod": common.MapStr{ @@ -280,12 +272,7 @@ func TestEphemeralContainers(t *testing.T) { }) mapping := map[string]interface{}{ - "namespace": common.MapStr{ - "name": pod.GetNamespace(), - "annotations": common.MapStr{ - "nsa": "nsb", - }, - }, + "namespace": pod.GetNamespace(), "pod": common.MapStr{ "uid": string(pod.GetUID()), "name": pod.GetName(), @@ -300,6 +287,9 @@ func TestEphemeralContainers(t *testing.T) { "image": "nginx:1.120", "runtime": "crio", }, + "namespace_annotations": common.MapStr{ + "nsa": "nsb", + }, "annotations": common.MapStr{ "app": "production", }, @@ -315,9 +305,7 @@ func TestEphemeralContainers(t *testing.T) { "name": "devcluster", "url": "8.8.8.8:9090"}, }, "kubernetes": common.MapStr{ - "namespace": common.MapStr{ - "name": "testns", - }, + "namespace": "testns", "labels": common.MapStr{"foo": "bar"}, "annotations": common.MapStr{"app": "production"}, "pod": common.MapStr{ @@ -393,9 +381,7 @@ func (p *podMeta) GenerateECS(obj kubernetes.Resource) common.MapStr { func (p *podMeta) GenerateK8s(obj kubernetes.Resource, opts ...metadata.FieldOptions) common.MapStr { k8sPod := obj.(*kubernetes.Pod) return common.MapStr{ - "namespace": common.MapStr{ - "name": k8sPod.GetNamespace(), - }, + "namespace": k8sPod.GetNamespace(), "pod": common.MapStr{ "uid": string(k8sPod.GetUID()), "name": k8sPod.GetName(), diff --git a/x-pack/elastic-agent/pkg/composable/providers/kubernetes/service.go b/x-pack/elastic-agent/pkg/composable/providers/kubernetes/service.go index 2bdf73380be..40e12bb53ff 100644 --- a/x-pack/elastic-agent/pkg/composable/providers/kubernetes/service.go +++ b/x-pack/elastic-agent/pkg/composable/providers/kubernetes/service.go @@ -186,14 +186,13 @@ func generateServiceData( return &serviceData{} } - ckMeta := kubemetaMap.(common.MapStr).Clone() - if len(namespaceAnnotations) != 0 { - ckMeta.Put("namespace.annotations", namespaceAnnotations) - } // k8sMapping includes only the metadata that fall under kubernetes.* // and these are available as dynamic vars through the provider - k8sMapping := map[string]interface{}(ckMeta) + k8sMapping := map[string]interface{}(kubemetaMap.(common.MapStr).Clone()) + if len(namespaceAnnotations) != 0 { + k8sMapping["namespace_annotations"] = namespaceAnnotations + } // Pass annotations to all events so that it can be used in templating and by annotation builders. annotations := common.MapStr{} for k, v := range service.GetObjectMeta().GetAnnotations() { diff --git a/x-pack/elastic-agent/pkg/composable/providers/kubernetes/service_test.go b/x-pack/elastic-agent/pkg/composable/providers/kubernetes/service_test.go index c85abed7f07..c183541e6a7 100644 --- a/x-pack/elastic-agent/pkg/composable/providers/kubernetes/service_test.go +++ b/x-pack/elastic-agent/pkg/composable/providers/kubernetes/service_test.go @@ -61,10 +61,8 @@ func TestGenerateServiceData(t *testing.T) { "name": service.GetName(), "ip": service.Spec.ClusterIP, }, - "namespace": common.MapStr{ - "annotations": common.MapStr{ - "nsa": "nsb", - }, + "namespace_annotations": common.MapStr{ + "nsa": "nsb", }, "annotations": common.MapStr{ "baz": "ban", diff --git a/x-pack/filebeat/module/coredns/log/test/coredns-json.log b/x-pack/filebeat/module/coredns/log/test/coredns-json.log index 52f20388d10..9a2f9b6dea4 100644 --- a/x-pack/filebeat/module/coredns/log/test/coredns-json.log +++ b/x-pack/filebeat/module/coredns/log/test/coredns-json.log @@ -1,3 +1,3 @@ -{"message":"2019-02-12T00:27:28.903Z [INFO] 172.17.0.4:36413 - 21583 \"A IN httpbin.org.cluster.local. udp 43 false 512\" NXDOMAIN qr,rd,ra 136 0.000102078s", "stream": "stdout", "time": "2019-02-12T00:27:28.903433597Z", "kubernetes": { "container": { "name": "coredns" }, "node": { "name": "minikube" }, "pod": { "uid": "d57d545e-2a9d-11e9-995f-08002730e0dc", "name": "coredns-86c58d9df4-jwhsg" }, "namespace": { "name": "kube-system" }, "replicaset": { "name": "coredns-86c58d9df4" }, "labels": { "pod-template-hash": "86c58d9df4", "k8s-app": "kube-dns" } } } -{"message":"2019-03-19T02:57:23.213Z [INFO] 172.17.0.9:37723 - 6966 \"A IN httpbin.org. udp 29 false 512\" NOERROR qr,rd,ra 83 0.000082083s\n","stream":"stdout","time":"2019-03-19T02:57:23.214583742Z", "kubernetes": { "container": { "name": "coredns" }, "node": { "name": "minikube" }, "pod": { "uid": "d57d545e-2a9d-11e9-995f-08002730e0dc", "name": "coredns-86c58d9df4-jwhsg" }, "namespace": { "name": "kube-system" }, "replicaset": { "name": "coredns-86c58d9df4" }, "labels": { "pod-template-hash": "86c58d9df4", "k8s-app": "kube-dns" } } } -{"message":"2019-03-11T07:16:34.013Z [INFO] [::1]:37915 - 62762 \"AAAA IN czbaoyu.com. udp 29 false 512\" NOERROR qr,rd,ra 100 0.00006286s\n","stream":"stdout","time":"2019-03-11T07:16:34.013970788Z", "kubernetes": { "container": { "name": "coredns" }, "node": { "name": "minikube" }, "pod": { "uid": "d57d545e-2a9d-11e9-995f-08002730e0dc", "name": "coredns-86c58d9df4-jwhsg" }, "namespace": { "name": "kube-system" }, "replicaset": { "name": "coredns-86c58d9df4" }, "labels": { "pod-template-hash": "86c58d9df4", "k8s-app": "kube-dns" } } } +{"message":"2019-02-12T00:27:28.903Z [INFO] 172.17.0.4:36413 - 21583 \"A IN httpbin.org.cluster.local. udp 43 false 512\" NXDOMAIN qr,rd,ra 136 0.000102078s", "stream": "stdout", "time": "2019-02-12T00:27:28.903433597Z", "kubernetes": { "container": { "name": "coredns" }, "node": { "name": "minikube" }, "pod": { "uid": "d57d545e-2a9d-11e9-995f-08002730e0dc", "name": "coredns-86c58d9df4-jwhsg" }, "namespace": "kube-system", "replicaset": { "name": "coredns-86c58d9df4" }, "labels": { "pod-template-hash": "86c58d9df4", "k8s-app": "kube-dns" } } } +{"message":"2019-03-19T02:57:23.213Z [INFO] 172.17.0.9:37723 - 6966 \"A IN httpbin.org. udp 29 false 512\" NOERROR qr,rd,ra 83 0.000082083s\n","stream":"stdout","time":"2019-03-19T02:57:23.214583742Z", "kubernetes": { "container": { "name": "coredns" }, "node": { "name": "minikube" }, "pod": { "uid": "d57d545e-2a9d-11e9-995f-08002730e0dc", "name": "coredns-86c58d9df4-jwhsg" }, "namespace": "kube-system", "replicaset": { "name": "coredns-86c58d9df4" }, "labels": { "pod-template-hash": "86c58d9df4", "k8s-app": "kube-dns" } } } +{"message":"2019-03-11T07:16:34.013Z [INFO] [::1]:37915 - 62762 \"AAAA IN czbaoyu.com. udp 29 false 512\" NOERROR qr,rd,ra 100 0.00006286s\n","stream":"stdout","time":"2019-03-11T07:16:34.013970788Z", "kubernetes": { "container": { "name": "coredns" }, "node": { "name": "minikube" }, "pod": { "uid": "d57d545e-2a9d-11e9-995f-08002730e0dc", "name": "coredns-86c58d9df4-jwhsg" }, "namespace": "kube-system", "replicaset": { "name": "coredns-86c58d9df4" }, "labels": { "pod-template-hash": "86c58d9df4", "k8s-app": "kube-dns" } } } diff --git a/x-pack/filebeat/module/coredns/log/test/coredns-json.log-expected.json b/x-pack/filebeat/module/coredns/log/test/coredns-json.log-expected.json index 12a927c1cc3..9a1c8520b76 100644 --- a/x-pack/filebeat/module/coredns/log/test/coredns-json.log-expected.json +++ b/x-pack/filebeat/module/coredns/log/test/coredns-json.log-expected.json @@ -20,7 +20,7 @@ "event.duration": 102078, "event.kind": "event", "event.module": "coredns", - "event.original": "{\"message\":\"2019-02-12T00:27:28.903Z [INFO] 172.17.0.4:36413 - 21583 \\\"A IN httpbin.org.cluster.local. udp 43 false 512\\\" NXDOMAIN qr,rd,ra 136 0.000102078s\", \"stream\": \"stdout\", \"time\": \"2019-02-12T00:27:28.903433597Z\", \"kubernetes\": { \"container\": { \"name\": \"coredns\" }, \"node\": { \"name\": \"minikube\" }, \"pod\": { \"uid\": \"d57d545e-2a9d-11e9-995f-08002730e0dc\", \"name\": \"coredns-86c58d9df4-jwhsg\" }, \"namespace\": { \"name\": \"kube-system\" }, \"replicaset\": { \"name\": \"coredns-86c58d9df4\" }, \"labels\": { \"pod-template-hash\": \"86c58d9df4\", \"k8s-app\": \"kube-dns\" } } }", + "event.original": "{\"message\":\"2019-02-12T00:27:28.903Z [INFO] 172.17.0.4:36413 - 21583 \\\"A IN httpbin.org.cluster.local. udp 43 false 512\\\" NXDOMAIN qr,rd,ra 136 0.000102078s\", \"stream\": \"stdout\", \"time\": \"2019-02-12T00:27:28.903433597Z\", \"kubernetes\": { \"container\": { \"name\": \"coredns\" }, \"node\": { \"name\": \"minikube\" }, \"pod\": { \"uid\": \"d57d545e-2a9d-11e9-995f-08002730e0dc\", \"name\": \"coredns-86c58d9df4-jwhsg\" }, \"namespace\": \"kube-system\", \"replicaset\": { \"name\": \"coredns-86c58d9df4\" }, \"labels\": { \"pod-template-hash\": \"86c58d9df4\", \"k8s-app\": \"kube-dns\" } } }", "event.outcome": "failure", "event.type": [ "protocol" @@ -30,7 +30,7 @@ "kubernetes.container.name": "coredns", "kubernetes.labels.k8s-app": "kube-dns", "kubernetes.labels.pod-template-hash": "86c58d9df4", - "kubernetes.namespace.name": "kube-system", + "kubernetes.namespace": "kube-system", "kubernetes.node.name": "minikube", "kubernetes.pod.name": "coredns-86c58d9df4-jwhsg", "kubernetes.pod.uid": "d57d545e-2a9d-11e9-995f-08002730e0dc", @@ -72,7 +72,7 @@ "event.duration": 82083, "event.kind": "event", "event.module": "coredns", - "event.original": "{\"message\":\"2019-03-19T02:57:23.213Z [INFO] 172.17.0.9:37723 - 6966 \\\"A IN httpbin.org. udp 29 false 512\\\" NOERROR qr,rd,ra 83 0.000082083s\\n\",\"stream\":\"stdout\",\"time\":\"2019-03-19T02:57:23.214583742Z\", \"kubernetes\": { \"container\": { \"name\": \"coredns\" }, \"node\": { \"name\": \"minikube\" }, \"pod\": { \"uid\": \"d57d545e-2a9d-11e9-995f-08002730e0dc\", \"name\": \"coredns-86c58d9df4-jwhsg\" }, \"namespace\": { \"name\": \"kube-system\" }, \"replicaset\": { \"name\": \"coredns-86c58d9df4\" }, \"labels\": { \"pod-template-hash\": \"86c58d9df4\", \"k8s-app\": \"kube-dns\" } } }", + "event.original": "{\"message\":\"2019-03-19T02:57:23.213Z [INFO] 172.17.0.9:37723 - 6966 \\\"A IN httpbin.org. udp 29 false 512\\\" NOERROR qr,rd,ra 83 0.000082083s\\n\",\"stream\":\"stdout\",\"time\":\"2019-03-19T02:57:23.214583742Z\", \"kubernetes\": { \"container\": { \"name\": \"coredns\" }, \"node\": { \"name\": \"minikube\" }, \"pod\": { \"uid\": \"d57d545e-2a9d-11e9-995f-08002730e0dc\", \"name\": \"coredns-86c58d9df4-jwhsg\" }, \"namespace\": \"kube-system\", \"replicaset\": { \"name\": \"coredns-86c58d9df4\" }, \"labels\": { \"pod-template-hash\": \"86c58d9df4\", \"k8s-app\": \"kube-dns\" } } }", "event.outcome": "success", "event.type": [ "protocol" @@ -82,13 +82,13 @@ "kubernetes.container.name": "coredns", "kubernetes.labels.k8s-app": "kube-dns", "kubernetes.labels.pod-template-hash": "86c58d9df4", - "kubernetes.namespace.name": "kube-system", + "kubernetes.namespace": "kube-system", "kubernetes.node.name": "minikube", "kubernetes.pod.name": "coredns-86c58d9df4-jwhsg", "kubernetes.pod.uid": "d57d545e-2a9d-11e9-995f-08002730e0dc", "kubernetes.replicaset.name": "coredns-86c58d9df4", "log.level": "INFO", - "log.offset": 562, + "log.offset": 550, "message": "2019-03-19T02:57:23.213Z [INFO] 172.17.0.9:37723 - 6966 \"A IN httpbin.org. udp 29 false 512\" NOERROR qr,rd,ra 83 0.000082083s\n", "network.protocol": "dns", "network.transport": "udp", @@ -124,7 +124,7 @@ "event.duration": 62860, "event.kind": "event", "event.module": "coredns", - "event.original": "{\"message\":\"2019-03-11T07:16:34.013Z [INFO] [::1]:37915 - 62762 \\\"AAAA IN czbaoyu.com. udp 29 false 512\\\" NOERROR qr,rd,ra 100 0.00006286s\\n\",\"stream\":\"stdout\",\"time\":\"2019-03-11T07:16:34.013970788Z\", \"kubernetes\": { \"container\": { \"name\": \"coredns\" }, \"node\": { \"name\": \"minikube\" }, \"pod\": { \"uid\": \"d57d545e-2a9d-11e9-995f-08002730e0dc\", \"name\": \"coredns-86c58d9df4-jwhsg\" }, \"namespace\": { \"name\": \"kube-system\" }, \"replicaset\": { \"name\": \"coredns-86c58d9df4\" }, \"labels\": { \"pod-template-hash\": \"86c58d9df4\", \"k8s-app\": \"kube-dns\" } } }", + "event.original": "{\"message\":\"2019-03-11T07:16:34.013Z [INFO] [::1]:37915 - 62762 \\\"AAAA IN czbaoyu.com. udp 29 false 512\\\" NOERROR qr,rd,ra 100 0.00006286s\\n\",\"stream\":\"stdout\",\"time\":\"2019-03-11T07:16:34.013970788Z\", \"kubernetes\": { \"container\": { \"name\": \"coredns\" }, \"node\": { \"name\": \"minikube\" }, \"pod\": { \"uid\": \"d57d545e-2a9d-11e9-995f-08002730e0dc\", \"name\": \"coredns-86c58d9df4-jwhsg\" }, \"namespace\": \"kube-system\", \"replicaset\": { \"name\": \"coredns-86c58d9df4\" }, \"labels\": { \"pod-template-hash\": \"86c58d9df4\", \"k8s-app\": \"kube-dns\" } } }", "event.outcome": "success", "event.type": [ "protocol" @@ -134,13 +134,13 @@ "kubernetes.container.name": "coredns", "kubernetes.labels.k8s-app": "kube-dns", "kubernetes.labels.pod-template-hash": "86c58d9df4", - "kubernetes.namespace.name": "kube-system", + "kubernetes.namespace": "kube-system", "kubernetes.node.name": "minikube", "kubernetes.pod.name": "coredns-86c58d9df4-jwhsg", "kubernetes.pod.uid": "d57d545e-2a9d-11e9-995f-08002730e0dc", "kubernetes.replicaset.name": "coredns-86c58d9df4", "log.level": "INFO", - "log.offset": 1105, + "log.offset": 1081, "message": "2019-03-11T07:16:34.013Z [INFO] [::1]:37915 - 62762 \"AAAA IN czbaoyu.com. udp 29 false 512\" NOERROR qr,rd,ra 100 0.00006286s\n", "network.protocol": "dns", "network.transport": "udp", diff --git a/x-pack/filebeat/module/envoyproxy/log/test/envoy-json.log b/x-pack/filebeat/module/envoyproxy/log/test/envoy-json.log index 65d689e46eb..31cb674f4c7 100644 --- a/x-pack/filebeat/module/envoyproxy/log/test/envoy-json.log +++ b/x-pack/filebeat/module/envoyproxy/log/test/envoy-json.log @@ -1,2 +1,2 @@ -{"message":"ACCESS [2019-04-10T03:49:34.451Z] \"GET /httpbin/status/501 HTTP/1.1\" 501 - 0 0 180 179 \"172.17.0.3\" \"curl/7.59.0\" \"413bf460-bd56-4515-ada4-2a69c5e78e54\" \"httpbin.org\" \"52.71.234.219:80\"","stream":"stdout","time":"2019-02-12T18:37:43.139620629Z", "kubernetes": { "container": { "name": "ambassador" }, "node": { "name": "minikube" }, "pod": { "uid": "e57d545e-2a9d-11e9-995f-08002730e0dc", "name": "ambassador-76c58d9df4-jwhsg" }, "namespace": { "name": "default" }, "labels": { "service": "ambassador" }}} -{"message":"ACCESS [2019-04-06T06:20:05.972Z] \"- - -\" 0 UF,URX 0 0 0 - \"-\" \"-\" \"-\" \"-\" \"127.0.0.1:9200\"","stream":"stdout","time":"2019-02-12T18:37:43.139620629Z", "kubernetes": { "container": { "name": "ambassador" }, "node": { "name": "minikube" }, "pod": { "uid": "e57d545e-2a9d-11e9-995f-08002730e0dc", "name": "ambassador-76c58d9df4-jwhsg" }, "namespace": { "name": "default" }, "labels": { "service": "ambassador" }}}} +{"message":"ACCESS [2019-04-10T03:49:34.451Z] \"GET /httpbin/status/501 HTTP/1.1\" 501 - 0 0 180 179 \"172.17.0.3\" \"curl/7.59.0\" \"413bf460-bd56-4515-ada4-2a69c5e78e54\" \"httpbin.org\" \"52.71.234.219:80\"","stream":"stdout","time":"2019-02-12T18:37:43.139620629Z", "kubernetes": { "container": { "name": "ambassador" }, "node": { "name": "minikube" }, "pod": { "uid": "e57d545e-2a9d-11e9-995f-08002730e0dc", "name": "ambassador-76c58d9df4-jwhsg" }, "namespace": "default", "labels": { "service": "ambassador" }}} +{"message":"ACCESS [2019-04-06T06:20:05.972Z] \"- - -\" 0 UF,URX 0 0 0 - \"-\" \"-\" \"-\" \"-\" \"127.0.0.1:9200\"","stream":"stdout","time":"2019-02-12T18:37:43.139620629Z", "kubernetes": { "container": { "name": "ambassador" }, "node": { "name": "minikube" }, "pod": { "uid": "e57d545e-2a9d-11e9-995f-08002730e0dc", "name": "ambassador-76c58d9df4-jwhsg" }, "namespace": "default", "labels": { "service": "ambassador" }}}} diff --git a/x-pack/filebeat/module/envoyproxy/log/test/envoy-json.log-expected.json b/x-pack/filebeat/module/envoyproxy/log/test/envoy-json.log-expected.json index f2e9cb25b37..9219be79328 100644 --- a/x-pack/filebeat/module/envoyproxy/log/test/envoy-json.log-expected.json +++ b/x-pack/filebeat/module/envoyproxy/log/test/envoy-json.log-expected.json @@ -32,7 +32,7 @@ "input.type": "log", "kubernetes.container.name": "ambassador", "kubernetes.labels.service": "ambassador", - "kubernetes.namespace.name": "default", + "kubernetes.namespace": "default", "kubernetes.node.name": "minikube", "kubernetes.pod.name": "ambassador-76c58d9df4-jwhsg", "kubernetes.pod.uid": "e57d545e-2a9d-11e9-995f-08002730e0dc", @@ -87,11 +87,11 @@ "input.type": "log", "kubernetes.container.name": "ambassador", "kubernetes.labels.service": "ambassador", - "kubernetes.namespace.name": "default", + "kubernetes.namespace": "default", "kubernetes.node.name": "minikube", "kubernetes.pod.name": "ambassador-76c58d9df4-jwhsg", "kubernetes.pod.uid": "e57d545e-2a9d-11e9-995f-08002730e0dc", - "log.offset": 530, + "log.offset": 518, "message": "ACCESS [2019-04-06T06:20:05.972Z] \"- - -\" 0 UF,URX 0 0 0 - \"-\" \"-\" \"-\" \"-\" \"127.0.0.1:9200\"", "network.transport": "tcp", "related.ip": [ diff --git a/x-pack/functionbeat/docs/fields.asciidoc b/x-pack/functionbeat/docs/fields.asciidoc index 6c968ea5a30..0251ede5401 100644 --- a/x-pack/functionbeat/docs/fields.asciidoc +++ b/x-pack/functionbeat/docs/fields.asciidoc @@ -15456,47 +15456,16 @@ type: ip -- - -*`kubernetes.namespace.name`*:: +*`kubernetes.namespace`*:: + -- -Kubernetes namespace name +Kubernetes namespace type: keyword -- -*`kubernetes.namespace.uuid`*:: -+ --- -Kubernetes namespace uuid - - -type: keyword - --- - -*`kubernetes.namespace.labels.*`*:: -+ --- -Kubernetes namespace labels map - - -type: object - --- - -*`kubernetes.namespace.annotations.*`*:: -+ --- -Kubernetes namespace annotations map - - -type: object - --- - *`kubernetes.node.name`*:: + -- diff --git a/x-pack/functionbeat/include/fields.go b/x-pack/functionbeat/include/fields.go index 080d4f2c5c4..84ea17cc41a 100644 --- a/x-pack/functionbeat/include/fields.go +++ b/x-pack/functionbeat/include/fields.go @@ -19,5 +19,5 @@ func init() { // AssetFieldsYml returns asset data. // This is the base64 encoded zlib format compressed contents of fields.yml. func AssetFieldsYml() string { - return 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" + return 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" } diff --git a/x-pack/heartbeat/include/fields.go b/x-pack/heartbeat/include/fields.go index 205ce7d0046..efcd48a2e5e 100644 --- a/x-pack/heartbeat/include/fields.go +++ b/x-pack/heartbeat/include/fields.go @@ -19,5 +19,5 @@ func init() { // AssetFieldsYml returns asset data. // This is the base64 encoded zlib format compressed contents of fields.yml. func AssetFieldsYml() string { - return 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" + return 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wVfgZvFbdUbbYPYF7aUoKqgyPHO6kBQEID45z2f9zv6M2U9k1YICUdk3szCkVlced1PmqF1EgxKO2EBqzXC662bx7T9T3TUzbjcVikTCqTTJfuhGQMXBnUG02ott6BMKNMqO6CicFXEH9CNNU2tyGLsc7iS7Hw9rm69WYuAIPDQrn2vXxW9UYGz3cc0JaAc9zuMxlisuOEBiLwKqaoJHFFaDxGaQem0zsIXXD7KyOURz2T9jli9OtHhpTwZKq6B6IhqKj56/lQAhYlvW8Em2SpC0gm/OGYaMAG7tKwAdft2QEqXibUKxWYjXxCN/X+KbUTCXrZZnYf4c3uFLhvaidHEM35gzuBeTktmORCvLi9PgNBIQixqdhqJhXNtvYsTnl+ZqQe2cxgAm8EZO0AbDSs8NA/opuIiyam7o6BsAJRW8oz+k47zBu8zFThpxxoQ1zjFWjCFwz/mFsB7Ovn+8QybUFpLaDMn18MeLn48bg4m27yKmxynUHeyKca3SpxiuBk7WBmFE9WxcnOEqBtLHzoGNOKWatulaENnViSRAqpFjGqTNon0Ss8k4zF9k5Aix4hve28IfFbhRUgFSKCa4VzWtzUpF1aFUQadjBVGsJ8L0lvhdJ1trdF/1hf7+/M+zvDHb2dvaeDXeeHj7t7xw829nbebY32Ovv7O4Pn+0fPD086A8Hg0EbicdzFn5mOXgxs9YnuushG4OLO0lFE3arDFQyb17SPhrLHytFIY0KWBlm8vcV4JesJ1g1gN78deOaj6mgVxC7uNEjG4qB1i2mV3ZATES6g25VbJksEfAQWua/uD2yDFNSCe7OEGkAQ4HBIiaKhty0Cg30o2EMs3cmQCQzuTXLZkJeVlkOXMfh1lSQs5MdtLjsBp0wk86YhruZaHTCjXaJTRWQdnPX8/FqiVVchzDeOghuXFUKlzGl2FyaEPRLZGk0z1g0UxMyhIkSl9LjEfKsI6pX3b1SPXUQB60GgtwlN7l3+Nhhua5AdQSL8nY9cC5aa06XVp5plk/6Lm0TrVd4yqXiJN+jGISvDFVTZpLvCTGyxtxj5jIPMYvMPuVh2tzUEfW9aPUYu8gqObFEqLGIVJasU2mxcCF5ukcU0wXq1fkyIT/JBbthKiKZZkaTDgTcoA005qU126Vx2ZATuGkL91VKSuNAD4MT57SGU8ALA1lRoeKACDWIx0lNSfOwUI7SmK6Gt2J2gTwD+9kaiNgVsyIy5Og6MsaTeTIGolX09Cmq0icgoVPchStiiGdYs/aiYQSRh+0Wiq4AYWtZK9huoWibozqge4RguRQuBdenGG5We9DNBWweBxPxLOShukN/STI+mTAVu6vh9phD9qVVle1R2zdMUGEIEzdcSTGv39NUsvX454swOc96PlAJ5D95/fZHcp5hpiiE0ZZN/aNtuR4cHDx9+vTw8PDZs2ed5FxnSECboF4FoDmn+g5aBhoGGn0aLdH4alEz47rI6TI2RWI/EpaP6GfsZlV3krPteM7N8qp9m/p4iko0D96Wch/eCCclnq2K4Y0LsEx1ChEXjdjSYErdZ1Sb/rB+O+xza9a39c59TtX5qRfJoEL4A78JKO8Pd3b3rKr8bEDHacYmg26I18jdAeY4+60NdXQNDF+2k7geDaKXXueI8rnuJKPZSeYs42Xd5+8OtG/y9lHk7QpCo0HwbxL5MSWyJ+6fSTCvjvbXI7ofgNMfL9xXB/rLF/+r4+JqdH2Wk8HNFcvcLslSkyNvwjs9cvx7qVj0TUfFhmXfTfJAMnweee0JgVFxq5IApWydCN2idb4kDyaDtVZXyZb55Ch2TwmYMPHIx8Wr6EL3CLX49sg0LarbZqkwDo3mMmVUtF2Oi5WjBx3iGMG5JrRdAOejHh73xM8XuPk8/O0R8eUR4nIuGdeGi2nJ9cw/pxtOOqiCVCkr/toGy2+BpuLZpkfYFDSRs5MdcqPJCzofZ7RHfjx5Q348OSM3lYZzXBTkTEy5CHvo7y/tK/Z7V1qnayfSoiDMvWY/O5B7DlNVih6ZUDWlhvVIDtO39yN+v+qS/buL5H93WfwnE8JxUOLXJ2JD8Nw3AfrVCFDnI//m9PhcTo8Gwb85PR7T6eGJ+2/m9HBo/6mcHk2cvgqnhwP6T+H0cLj8u2vYDTL8uyraFRn+TPr26oh/nRr56vh909m/dJ09BMnJjF1pPhXUlL7UuIuWkxkjF7Vfbg+bu5wxzZpVvWtxphB/NuaCqiWmz4dJ9acXDsz4lGlzRfOpVNzM5uvkuRnVM6hD5icLmq/FCBM1sML07WkfNa4MdMDGFBQbfXBNXPJuSBSCylFhSN85wjI9PKmgMKvLHKn4GWlTgdvmFz2jO/sHq25xLLNbp3ArgHYsZc6o6CLiD/gThEHTAsIoOVasdHSwqLus6HZ0qGWDj8R/Rq4DPrX7fI1lmS1DRIHLq3IC7zCXXEV03+WBzKkoJ9T1QBgvLYV8SfwbJjKpkmhMVlXwVixnNxQTZY8Lyzffv76AgLWujJx5YudkyYcitcfxh+XKtDXUlGsrunacZdyVWmxLETjPmTKYLsgcKN00npS5r10/hfJDalkYOVW0mPGUMKWk0lU4ZDzqDc15FpdTkcoKIW38fOQFozeMlCKqJjjxifnwavWK10Kq8cOwC2s7i3TG0uuuUuhnb9++fnv17tXl23cXl2enV29fv75ceY1K7JiypvIYFzh8zdAJoj1odVVBKp4qaXmYnEhVyFqx6I8rFozO17yP7RSPuZlhPKncbnVlef0Wdg02onjTyjlyvz189ref/vHL4cvD47+vTEvfOWgFamYVq9Yodmq3CBUZqXdUqp/sjV5HUOAazrS2XN8Z7Az7A/vf5XDnaDg42h38srKchz3GVmGOO86lzQsj7SEMSxft8469S9JZPV/473bDY3hx9fpt7/mg9FTOfd3FHpJyxqvjvZbJ68ONK0ljT38pc+3aMLhwcQJiBPUCFFItdrnfCQqS7BPp2n3gY2IcWFX1o/+GKcwTp1PKhY6SaGasUiCtih97CjtlMa0R/yOCdhXCVFozaLhOxgWFOf7yjuLF4cF6gVpXOrbVjCrqieP6aDggAxQhYt+EVmIYJl9FjkcZEpWiPmN5EeWiQe4FlhUJQ2uX1SGW1viwm/0RgtDXmUZWEYVn9dhRPqfTtZqksb8BJgv5HwiQZUDsOyJFF2iGTtcEWcVxDi46baQKR33Y7p4+6sd2R0e2pk8UZnXNzWrzrnE5KqSrGljhShR5eV0eGBzdqvB0iocC1xUjtE4/7AMXyRe7E6+0UYzOYwlzajfoRfX1R1ptRaP4HW/oNcNKB1xg5WJ/Zgm2cL18qvGJBQdyZtIZi3yH56LrlfrDVYWqkAYdPRo8BdAtzRNcNusR+pSi+FWXbTOReS6hjdycCsHUERn9d4QweMv/p1/7yn7WzDS+hbogBU3Z/4ySICQ5tAhzCXRRSzk4iENS7YxCP0jlT2HlVH9CtS8nUdGRgSYRYaIT8lKqRtlzxypYGmIiS+HSi7gOrTmh7AjeZiWp3B7ncrpNRZ8LE5q29Y3smxnrh0svamgfZ+3jKvVxlX61bzsYC6nNP8MaHwtyhm9rRlU6q61BKoXmkNVUb04xpuk1NvjKeMo0qjXBE1VnFSiDONe1uhuN913RSHJaMmQO3EU3VsmWotceV2O6G9T/QAaxQ7EPnjUV00ZxX4q+lmrfyftMu+To0AJu9H7UI6Nt+8/39p//1/6zYf/5X/af/8f+8//Zf8iIPAG2qthky0M86o3AAzv6yyjx7Vc1wy1TJzqU1GcixZqRtLKKb2GGackzts2Eb9qKw2yHYbbTUikmzLajcD9VjBrWByolMzPP/9L4hRa8X1Az6xdU0bn+NSbhPx9BF3CbcgVJbJnOUGGu7jhoNipXiN1DUQczM0NJRw2ZQwtAzYRm3r5zNtv7oE++j/QoL7yS96LVEnAkplx8SCiU1bPrXig5Z2bGSviLiQzq1I7ikZlJkflqnAugQbDAgoOKZrAdF3yfYTPgmVVyHcWIZiYedcFCjwYUu+83wPTi6fuNUJzBvwtPJGSEOdju25EzN+JRYcbgZ8SBqSajDrk6St6LH9hSgiXTYOR4yI4jI1XcMMWpRdJq/vZ4xYzXUYAN555RHW2DeNiYMY/eC0K+Jy997qvng1F/hL+8klD3DVVnQYaDQSTNN5rnc7zGq1pO4Vh5LM4+xnR6Xxs4jJ+A3gkfgyXh2kBQkICwL7mYxsRyJ1HyXry0qr0dWROaK0azpY+jYa4isBfG2DqNLr2xitxU2zJdeoCQC3+B4sYYM21IYYnNU4a1bh05E2LBiYdEyKAAkTft4tK54LkbubdHiesXFlohW6MK2lBCW4t4XHvSQLeD8O7tzFs/Q+q8Go/p2HYUliZmWtBmKvl9B7fGQ34i41ZtXFd2pawWZLAKx24eCyJvmLIkBNm7LFhNEDl+ietS4+mUL5F1WRbfz27kcqo3gPk2sEGk3kjIz4ywDwVLsT2KPfhplpENo+x+2Agjw1t6KcyM2XXdqBrHUEUmpSlVx8W2nXA1h0DU8KSmsDe+vkNhjx6tFE70ljQVROYbdddbHAXosT/MNtbgTOomP/geq1Y1WLGh1j2n54p3Wg3Fm3kQwuZ6oCBH2gWNmtbSzg5CfmE7cIt68nysGw+ew5PQK564G49b+s1EE4CamkGJP9QuNbQzjzvtYVMVN+rYd6oB55GoY6xvm9CToU5Mv13ihkq1tu7Aq2Fs73d2lz/1wsgAb9zzF2qqwAEpup/zVAhYYnXxQOmvqu1OrZvQSr13wrZ3ve0fqfdOGBZ68OBO/NZ751vvnX+v3jvxdvTFmEEy/nENeOID5lsXHvOtC8+3LjzfuvB868LzrQtPQPRbF55vXXi+deG5swtPrNd9Ga14Ioi+9eP5Avrx8AIcxxGffKQJDat1nykUv7GC9/TlL1td/Weq0pRfVAse6PkSRdY4TCHepqKNkXaxLCVOGeQ+PD6G62iqcw9j7vN11qnte/IFtdfJWnbmtx4733rsfOux863HzrceO9967HzrsfOtx86jAfGtx863Hjvfeux867HzrcfOtx47HXB+IT12shzPXR/v9OIF/Hl3YsIqlQLA5Z7zsaKKM02ypaBzdKJ4gkqaoSdN+sRMuNlwP0NYoyyYck0/QEZqjKe20mFDzyg0zK3Ns4FKYZU8DwaNNwTGPjzfWQDM4HjaxVoGW8qnJhx5aL4np4hAP+fi2s23JE9GSZbnoy2SyvkcUgvAQSQF+ZmLTC509f4FgvsaM26fjBItu957J/iHPiizLdxbsNTAWOZ83DXgnKavLz49WKheZiL5Vq/h89VraJD+Kyrf0ID8WzWH9VVzaJL6W3GHL764Q3PJ/jy1HhqYfSv98HilH5qk/bNVgmji960wxJoKQzQI/a1OxC10stpnMs/21yS9Xp7u4xT3gkfP6HBNAF38dDx8GESVSrsGmHb2Dx4G1b679l4LVPvDnYdApTPGVpHYD4Lq4vTs7M39oFqTylHz7zpbtXkA45GS50syp4XuqiAAxhkUeNTX7c18zZRg+e5O4h0ZK6BbULMuR+bzMs8RYjtJC/cG8CdH752f4P0F2Pi7O+8fhBBLIEfPsDSUelxDOY4370g8je946n3aFu0Wih8O9u6BhT04qViuCQFMRoG4U5imxWY9n+eaEWrgKZ6zPtTMeVT9uGBJBNi6sW2EPz8A2Tc0jhH/OHJ2+KsbpvRnwM5N80DMDpLd5NnBYJAMn+4N9++BIp8X67wPOcZbkFCLqJDKuB4Hb85wp5FjQRwUpN+HQBF4jERwEfuLu0L3ds6EiylTheLClXOF3K0bJgidGKaIYkgxl8fo+x9YfbEPeFZ6mqJCB/NfY6kBmUKFiqznUt0WGGUBGa1YY8QoWlXBsNBjinBdx1MCH6amViljwhVjSxAUWDfFzBSjpq+YK5SxMxjubQ+G20ZhJZL+nObWaOsjcfrOmQiVMjoCMdODw8Fuusee7ewM7YcspfvPDnYpzXYPsmxyDwZxHavzK9gMa7y6CzvhU6TZxZvj81eXydk/zu6BorOD142Xm+ZT8NsI4vr9h+Mz75yHz6+Dmx2P4I27CRDuTQQadP7e5NUF/HnHvclzvDFxCR92wtNXF+S3ksEGhDo7Qi+YqjaC/d21Q3fWIuOwF0OQM7htxTRnYawlKRSXcEMyZQbwcsO6QZ+MMqGhuNIRPD/aInh+L/0k8egQTuAT0vEe1N34mJCki9OGHHeNsS+0FlfmYECbdsHQiYJrF7I4YJw2lPjqaOsxMp5rlFi5SFqrKAKFu7sokZ4K9waG/NB05uYimmEmvGKmVCK6pva3Cc1S4pczRiBm4ZotHb2qZGO/MEh/zdys9Vzq8ZKcnVxU7ui3LJUqc2OBjAbJGntu5xU6+KOfXJCFfevs5MIN38w9smtseQ/LQUDgMYTUM/ilXvjAPud5nBwbMueCz8t5z30ZxvVIQSmoiN+wlszIAgep+C00uK4iXnrWoAhDQihhCgcqB8+cxYhqUkit+RijSDIoPGH1wqjMhy+7JiM2bgFKNUlLbaQvi9bM5nY4pzldW7o9FtOnmHoRFsRXrKtqkPkGAnDMq7b37vxVJ+h2tHXpOr7SXSwaMfbUB7LXNwejsOekz6DDVwsmMu0jaqBSCUgrT5J4QI976/gfDhL/XycV1pmxeFmPqLQcF3V/aIBOCqYgdjeizTm4wcANKSfk5NXxyzMCtXpc3TSZ31itLBJOm5saa92MIhFjouILUjCUGhCKowtpSRyuY6JBYF8m5DzIKiGNj5psjun0IjL6rWQ6ZPqP7LHDosoW0bJACPEtUeN+aYxZJX7wttSKkBMGWS83cK9lRTcgDBToXAXv7qXpLJbsbAKCqVYlguuUqoxlCfmFKemr4szBXTpzcR8oQysCjiuq4RQd+fndjLrGTkOXs6rL0ANlDPBmDe4ZoxlTV5OcTtd3aekDbnaIy6q3YhJnJjBzraFHwVJTK190RI6Pe+TypEfenvbI2+MeOT7tkZPTHjl93eFk/nXj7elGj2y8PfaxOLcVz33UpbE4YZpRfB1GtQttcFpHoeRU0TmyXrjVqQw7SDVgCmuxxANB/caCV2VEUCzoDst6Zzis94GURUfS66Mj78JmpMALLFSgsOyyuwK65gJyfVBvramyhMyZ1nTKkjiAhGsIFXK0cwLM+GtBHAZVY6AMRDTFY95Ko7+9O3v7XzUaBZn42XQF5bRDPCfQHPmoWlAT3es8EeEobIAWn3jBWexKRvqUFiFFH1wcVhWM67w+wdyW3R2oF2QhIMOdg604VUTq2huVEI9zS6kmTKe0sHuKakaGA58TqsmT96enp1uVAv4DTa+JzqmeOUPvt1JCVZYwshsqIZd0rHskpUpxOmXOanBlWHMeVQ2aMJbFI0BVVeXyGN+bHnmv8K33AviPuXvE+52uYZ3/8Ly9b7l6X1KuXuCLz5y0x2tOBYfhXZl2LWHxFeWWLRaLbqJ/SyRDEfgtkex+iWQVA30e88BZSXdrFsfHx/WSSt5UvfqUmgfHLQ9dnpPzN1aRY9BZcRR7NkYNF4P/ceQ9fY53+GTC0zIHB1KpWY+MWUpLHbzSN1RxZpbeNIo5dU6NtiZhVNQ6IWcfDBTRDfBF1RE9oGbGFMNCt0InEXFGlc4K5bC5Cd4sCGeDkrdmxuZQzSQaGvUCfAl+Z1RzCKoPI95wXdKc/86cumI13InsaHm9+etG5DSx9k7157Bp+Hg9+HOYAX6u7io4r15D4GYNujVuis14VwSvvg+SynqOwlYjBcarH1tLWaqomHl0KwDBY1N+w7R9KL5P6MEXcYwZVoMP42ZCh1EmCFvzYmBVKCoAvJff3QHUgGjML4UvDlow5fB/Igv0uuZLO4SWMpwozlbDbbGVkGOREeo8NGHMVn1bu6luv53wfnxrxTlh0OLv4PANzRPT2r3P2cnH7n1eMkP7sZPa9wByXuhP753ZedEeBfAo9lvJFYuH+SRmPju5CLfucLAFumM/CCMTMmKpTtxDI8zj9GBUUhFUJZBFpTbYlhKuuPPcsVbEgT/PmMC1hIVNldSRBucrnPf7zmnqLjQsQBAGnPPpzORRS/vK01NhA+9H+UE5M9iLdqrcDTfN/mVB9XVW0hmb0wb9SS1zq4OlhskgGcQclU9qHPXiOfkJnFIfYazOPKwXXJQfyNkHlpZo+r7g4ho+PMc6S0/OXjzfghZVUD7+k5nvM8Qd+d7mtdgjR2RLre64o8OD/uqhR+OlYVdSra+T9Q9Lw4hmv5XQCkRObgf8BTcmZ+RMZJyuHnBflFdrPL9O3ryrdZa/FfhzYdjKUWtwInAprqLA9IfErzstimUYux6UoFAiyYK6qSumJ+dWXFDjEsDCxuUm7vClfEhBBhcbVnHz1QUn9Bp9qS64BFGRSq8ccck+QETPClhPcmoMq26O6zU6OUaj43AsIyxn85D2iKHny4KtDhe6wxM65muO3/p7PWzLctRxlG31A4Z/QwzIhKaMPDn+4Xzrvmis04mKMrp+wdjcF6vCucbbVeg4hkdBBKSb955gMmHUMq4X+2gl2hwxqwk+laKur916eXhzY/BhiK15wq2mB7g6+FcGWV/RMV8TqB/fW57iqEG8vrgvxdd4/DjuuOsEWhXKzy7U7rnTXKTnY50LONwjnAsujGkVwASLMrYeFDrlY6Zaax1OamtPf0p8lC7HfdRmw5DgRRaMmhkZsXySeIyT70erb+XwUjrjq6SddAjJWt+HuhY24339W+kyEMd0zHNulpDarvi4jEnm4Lj38oKIl8UqAfj3Av1iRoWQgrjhSUrztHQRxkFNezDQ6wwbsMx34fgRdpWLFLgvjGu8KG2BGNcqXh1CX2/8Sk4mq/XzexRgcbZPAFfz31eh7H2aZrSADLXY7WT3h3WNZ2MLVDvU/SG84cqUNL9avSfQvfS7FpRuvnpFtocA/PDVfwC091z9qT1yP9eRCZP90UcmYnzPI9O9dA8V46EbxVHNEysw071hXfOGbsB5vy0NdYauQkWkNYHpNUxXhakq9ARpRhAqxXWEzMrwG5ZP1phZ5YcnejkfS5eAZLfRihZFcOAo5brreb9t+GLl2llURLkWrtgJXEYsIUYtbN532BV2jtsdn3PB/EXBoKdYzsiEGWzT6K91oEBeSjW6uVQchosee240yydRHWCBoz9CpsWaulsAkTGwrxEsjoDXbalsDRDcXtKxAwIXTPgRMLor3nXg7WMT6/vd0PT6CrplrrBlFjzPUhpw/sy1+S6xekUKTSZ9a2aukXSWW4scUj3YB1NH8jMFLIRl7MXBJVjrA/x8cQoaVv2ODJbgBf8XvaFJTsU0eVXm+RsJQeVn/vFYiNz4mygvRMIXdwsRt4FrrThdKhVUzPhgbinMVDWLB34yiqc1YVB1j7ePEmhQ5Do06lZDzUYLUejPWDXpRuFURXy8kEE0wX2fb8AdKh5SEzIeIGJGTKsxSOjbLScREm48PxT1ZX4sl0ExRGKxh6rsvajFqQuQxsCU0E7BjenTmCCGJ24Y0MMWk36QVArhlMQxMwsGleSiPp603vETJ+OCG+x1ZJcql9riduxX4uPkxl79fvdKBf0doQlNTuaM6lKBn0eHDs9tykaPwXWHodcs8HBM5pg9KhrP2VxCliHTdhg/XFZR2vVXveFBIhk2h6jsUrGEXLg++a51uT3pRog2xyQud6vsvUD1vvlhC8eJZQ5SKEpkqGncvX7S9WbaztB/nNoY0GwTMfRxID7C3NX8jFT3uFEYZoTHWW8ieoucG8tGwBpVpMGMCk/vlBo2lRDe4ccPi24FyQgI1adZ5prh2/3Uh/3E4CurJPUxmiMbYYKAD5MPIwoLXJ4vYwPCJbKjI5J1xBKVmql+QbW2xOxjyml9MaZMmCueXa25ut0Ud5DdXB4PF06E94pS+XJNXvsYAWgJz6qgLAwhcG36XfCp66SKzZ8jVY1Dq2h/SXNTLzlVb0qE/XoktHibWR0k9UxQL5FsqqbCrslwCGvAaLbKinN1ARSb5NCFe8aILE0q/VFHTQBJ3tb/wdV5AjJsbupYOHIdw+rb58wvX1x4IRVGdACnTEVNm+2456chkXjKsLRaJdDgcSvJuNYldoqu7nTrq+M5VXjKu8g+VyvKV6JqVveyC1gb0advWX0I6et2V4NFj0KRKwyCybIqcwZ7dYdhocrCglsDvGpLhqUXGq3UK9sdKlDXorSwd75bKyjkyZRlDEcWdx0ehSiPGZFzbgxrdDnu6N9+VD0wqtDqu4jJQOKI8ZFA0CElTqcicuwyxqJjlwCXRJEp1WRzrmGgj0yWSaYhbjYsS2Peitbx/HfOq7mYumldDTwh2/PHEtgur1uC2P0ysrNc+Vmubhu6BguYcMja7vl4m1d0C9odbo7z07Zs9eu1qhXuT4n1nHxYeNHx+USWCqKwTnBO3zUZ6yVgsCoPARuxuMDwPxcc7tbADuSBJzPOFFXpLK461TwGKxMcRc3GmE/JuIRWWxsQqVONyJmuB6hH0j43TDmFszHFkTtER2Tp9PUQ4EagwL0LGHePVeuaGn7DzdLlooWKsqA2wpkUGpe5Ge2ijHzhFV/aksatRXU59mA1FYwwvg+MdPNCODpIAwthwVSgxu+h1b0Ovd51JCepsZwFSxMi9SJKtoMta0faR/wJj3fenztbPo3SBkNRCpTS9nyDiFWovRxRLmpy74sflJoFvT1julZa1FnwmpQi6njfI4pNqcryePVBAYeniTUlS/tBKmLRAx8wRCKiri9vmAJFH2oC+SPZG9dc144uV/sETc1OWbF3sHdYJz4qex+RBbeFZ2263YCD1M91+852veyoa/hPLUOqqCikYhTrLgsUc2CNjZcYl1zwguVcsFt5Gut/p65v3v8OZVNRbFATf1W103Ww1ugH0LIQchZuL0MESFN7Pxdkbq0izU2JYaQ952k3C0nCtG6jjVlHsCpq2f7PNE4Lr5V28teqaGBlLIf8dLRN4/htl/Hr7hIaikjNcoRlgVfxbIE1CeX6M8KNkxINSOZScCOrShnVEFY7lNWK2T/9TbaR5JqxgpQF6ojwUry56lRNqXbegzodreKOOy6leS9e2Ybm1M5m2BkMD/qD/f7O7uXg8Giwf7S7lxzuP/2lnsdgz+bWDenjV0x00zRKPIgaRTBLCRJLsbaWtfSgbINzaeVyasntjhts7UnT2jmTy2nPueByOd3qxZPHBZLRnFy64wVrQ1SiLq6UbzdFDDYsOtQVm4PMhrr5VlPzMeEwvDUxa3ODty2Um5jLrMwr1sceR9ipwVdkz6TpVXpuPEzHYVPQdMaSiBZheUu1SvP0jivFxptcFKW5CtERVEhXUsK74EoTP0D1S57nvPMZzFUDHhl2Ms6pm7oWfU4gqy5MW+cklFNIdbvn8W8mMthAmM9nqvy5WoWQLlnkBQ3MLjLvjbFrylvdl5hYpQjCbUdKBWrrNGkeJMhv9uD033u1KgBuzxpIv5Nj8Nhldd/zGi+jfqJ6Rp4UTM1ooe3m0wauo6oKfRCWp+jCnWQGwo8ppnhF7ve5FNooiz54bSFlwWqOTaYf7uzu7R88PXw26Pp0/MPJaQ31dd6gnJ9abLxXK/Z7NWA+pHuT/cEgq0MmpqxdGHx1neQynAnYAsRLVaoUv2HBokuZMIrmrjKLkaqlYYBu4Tt/gDIwqg6cWBdv8KVXF/JlqJiYOElZncS5lq3Ra9pUPMGcuaLzvvY22vr2vLYARee7O8s1XXS6G8+F83vZ3YV+V2uGaV3OrcYgJLG4gbXTC5qCO3t9stdMSSFzOa11/LFHjbz2GbZcH9VoRf5XE7nqG7/co5XO7P1kOBiuXnL+mjeF0Rdm5/p6CA8ydNG/jjl6dqC+H6V5PQSF3rzaEP8cg1K7kNCYzG5fdlcpUWobthCA6u263syq24J2fiZvtaC8i9v20Jwp4xUZ2Au1C4qG+8o5miZtx2fV8AHTw2bY6lZjYRiAoFZ0MTrgyIyKDBJCLmdsCUlmC2sqQ9Mfv00VszjDfVH1JaoZQBAl8wprbmAU2OkzlhcYU6ONZYbFjIH7L5SGSuUcfUCEGkiom5Y5VaFmVWU6Kqtcdag8loI11q/pVGtTZHGWqFobVBECXJqaosszdeYDGCgoq8oCS+A6toKGy9ZEhqHRosjLKWgCbU9KlehKYScIrz2jPnwMqiCcv1s9v29w5FGjlEPNFKxug+HGxT5/m55Zo7qX/feie528b63sZh9M8BFYrhWGq7DJ3jkuv1U5iNklxIdgwU/7nB/4iStnpoucYz1RbqyFFjt1CqqM3rKcHG8Wr9z3CFB5IhVRDNLSbzXTrU0AT7gWI5lMryoHtBUHVvcJCVlYJI1g6V+WVdvK2hcu2R4AMYqzG2+tj65w9UdwL1NqBj2GsOekvGFK8cwxK42Si30+vQe3R4qcWQtUM0ZGz1FcQbLNsmB65MX06MyqljxFGMlb5tTmjpPsghVk+IwMDo92Do6GA7xLPTl7fjT4v/4y3Nn7vy9YWtqFw78IVj6eU0GnTOF3w8Q9Ohy4D5WSa0WdLkEMYbdzbWRRsMy/gP+rVfrX4SCx/39IMm3+upMMk51kRxfmr8Od3Z3vImI0Aj3CUnWdse5C6Ys+Zq0h+dBT1uE38hU+Miakyy8MMhzPzsjdTP2CQGBBZT1Tnlv9LbiWCqZ8AadwkgoDHhN7ZmN9ZLzhaSlzr6RxRdBcrztXLxhqd9NwQ+f18Ky2r1FuYs3IhgpgTy3fgiU656pTvEGYnj0Cne8StQNeeYciBCPQj+2hKAL8XiWnWG8DjsNClt5yJU8Cbu4eBgtXoqYSBq2K/qBy6nAEr0fVGLKKjg1dZoIfAjULO3ok7HSo5oBHlJUjNM/jBV5pWW/i1HS3sHE5iOelAn6qyCJcEV53xoETEYr8Wj1fa5m6cBNch1uUL1OTwlVPDjt4RYJJI2bIcoafFWKAwyXEkdWtRr34iKFiGZQ3OHE41CENV83R7d11tTqaCd1xqDqy1kSMKyi9rgzuzYtQ+6Jrn6E7HXYVKiq+Ps/FUjsfXNv7/kJOI2/zHNXGmopRFdzwJmpIRnZGcxySFjqU3VHX0W0WOJIvlnpu9dSZMUW2BR517HRWjl2ogr+HbvQiDSM+wXYlvaofRt+h2PfHVf+4tEakmG7d1r2ltoyKUb2+jM23MDpZzJZx6QofZtYWUm3Hc0cwjh0N6Gb1IJ6CUu5Eq6WoY/AQ5VOL1wnj/gwqmA8jgLdHdZnihgzyw11NuVeQbqMKtOrony2rXmIW+RD01eijThZsTKDrpKuIJRrwREPa3Zsxwd2xY3U9KwSDMRPOhgZ4QYzW1hmBRKYcjXMJwRiaGzbqYJpLKODl2tCRUoRL/rra/1G7X7G6C3MNzOYmIO/eviA5F9e+NNjd/TM9Xza5zo+C7Yoh1I2ncehciKdFQXEcWcy9oPTUStBHToIjMA/tQa0Ynq5zKeA2E47ccCMK9Gyviu/SgQIirpW3DXNs/2UwAF/jysvD9fWVjnTE27TGSS5pZ9T0W66vCYwA9qHiUnGsztUUhNrJKqJlDomUOirf+U4zd3sGqMH9lbvrQ13A7tzkFtivhFSrdEe+FYnNV+CL47+zDIb9CEI9jMPUKYUr4IDEwPLMcDDo8F/OKXcNo12j/KUsYd3rN0ruREBJAvWEdQSQrl8g2iEWzh9pDSTqXIqABlLN1fABLQkbXDfuCHy5lBWod6/0rs0LX4cFE1ZvO9IhWr3xKFQyQvj9zRtmR7XiAHpwDUqv69XP2QeaGgKVZlwNe6cTRQEBcTiAh626www3QS1q3bDIrL/HrdUdlIISvBhgHCao75/agXnXhe3Pocp5MBbCiHE19KjWHj7l75V8fEVslHvppBN3yVgW/uCOQk3DSkDAspuVO59CKoXm2sR6t+PM2NVoQuPvrpYETscL+IyZJTP0axrlcppo+D3xvyepzNgo8cLXf10dr7E3v8oQwhxpN0VLUandCqNUm3DFFjSP3I3npxdbIRq19kZQvx1bE240kQsRZsRibvZ8r6q0hXFTWWCA7+3oRmFKAeH2KfK0ztOGqlUSke++J8RLyI/eFLoQ5/iuMOIIvDOs4lJuuSy0+/R3KdZYSPBuI7WGkt0QleCwKxwQQkebS8BwMNd1kVwxmnmdzB3WntGrC5/omMQN6JmjimeNLfo0ZQUWowmT+tqYUGGf2u0vBZh+56du8o2zUsmCbR/PtWEqo/ONqFw3HY8Vu0Eb1z9+cbmxhSYn+emno/m8Eiac5v6p/mD/aDDY2GqI0Xam0RfmpTIzrh4Y8wjhgXUHVCOUb0OX4z4GP27ASd9DlsJAwujsIJUi3wqojGJydY8wYddbRxGSTq5mEGAgI8cXIgV1cwtllxSUTufU8SVJm1HonzF20fmVoHBKnWtKtUr3kQcxTtN0EDA2NEbzGpkE4cYFRLbfMG341GNX9/CsYFUIDDl3Q+O9ABf9jBVm1hodjyR36Vc5e/A+W8QJfq7eqQDDkxQ5Tdmt9sktdkm15T/JPpkvOywUmGJ7f+fpMGPZuD/ZHw/6ezvDw/7h08mgv0fTvcOnA7p7OGF3Wy+eHyaU1sqEPqf0Y3VCrR5RaqZ8Ul+IjOhO5JuUAq15ql2mWZRuBe7Seif6hsfh03J782zVk/mOduG+W7hPyYDVhxs/mMHFDoFfxSN7j/J6LC3bMVyPmjQa5oiyU5DxTbU64aFWWAudPMv2Kd3r04PD/f5euj/p052dcX9vb29yOBjvpunO4aroGsWn05U8n7dXmjitZdTVWMwNv3oKv3veOYWu1trwpiK+mzb4onr+DrPnTWNm0ttDou6L3RpzkjcuI3RCe+U2T70XXX2K3ov3QVa+J+R7EH3vhf1UlGNdjvEzhEeC8o9/W41M4Uc4Aza6JOiK4o+7oAIv/vzfd2Q1H2Pb7EYKLDTeacWjQHaxJmNrFtaD012Wrv0VYvV9XiqU5EO574+/59BX3BU7cVZndGEC+g1cwfoDyif++r+pyLalqpAltSjbnuskE27nxkuc8txfwJOXVZTDr8/PX/7TdzrVVYqvE+x6K8GX3eHg7joaabDgJIYuASxDajbwCedDFYXmLnQeJVUWY8I/wV7bfEFdtJoLXssxMcoP3Xmv6S/AqiXWGEYOLYDhAME7uI4wVGqwdNrayqRUXcdwPcJ8sVUUvnTl+UBrvaFqaXmmyKmxvJ+Qn5jCcHnobsQ+zGip4fIwd7VYUAbUlVirLAUHOY/zQF3t5hvWg5tU6A2Q9UjGFUuNVEuruqdqWZg4sAJlD+uRGc8yJnqQloH/SpEve05x7JGF4qbj4m7z1w3/7EaPbODTvk/AKnlpMmNXmk8FJpNnfGoPGJpbld7MVnG0PrwrEXaOJmGyKjCeT9EQcxcQtzcgiePZAhbaX817Aeh6tQW7A8ztMKRvHAveKPukgnAX18Ok8pshbSpwO25RZ3Rn/+CBpMdUqI+Yyiuof1HAKoe7Rz8DZK+ipdo6tDetJHoo09hPXEzXp5ZsNprmrconUa5FyBgDmR4Vb51TUU5oGuoF0OrS94aJTKqk5pkMhnFsCxwXlqu+f30BnSG6OsfMEzsnSz4UaQIXgg8l9XoT9e++RqulcBMEpZvkkxJb7ORyOrVbHMSenCpazHjqKy4Fh0c8KmT6NoLpjCq18fORF4zeMFKKyknHfbMYfLV6xRsR1fiVt4VqUgqXpt5eMehmcvXu1eXbdxeXZ6dXb1+/vnzokpVYOrldsPJRHGEXOHwtbAEyLlGUNRELYQXkRKpC1tJr7ouZYXS+5k1vp3jMnQ/jSeW2tgvO8PvdaYtJtdHDoPfc8Gd/++kfvxy+PDz++0NJ6x3Cn6D8ndr9BMmHtXzQwBx4KNiNEAJbMMcITsv2EbEz2Bn2B/a/y+HO0XBwtDtYPSegiZ/dnyuptneceJsXRvpYjlhGdOx77OMcccnf6zVBbpMXrv+z70ss53hwQGQLpHVGycC1WwRoEVS7SrBqhpS5rkJHbli+xEoZqICggGureJ9yNoNQ/EQyd2sWePU45QbqeEY6hi+N4It/RPozI2Osle4SGaIF6RTrtLYWH5HZ96RTVw72/YwrMCB90w20hla1pyD1CZmt9n7dmkqjPKPHMv8qi8kZq1gZA6sDdRuE+Fvo2Q/DuAVE06os4P5vNLdTjdxVAbd7hWkyAiyiUCeXlY0J95ZNTKV/20d7RHORhuH8LYSH2+9SqC3ZyCOOa2Q9euMHGDz4guvBhAGglkmQ0TqI3hpcF5R+/DgFwZlBuQTRFbeVj2vGZYrfRMHb0NLbXVdFV0gtDLdncs62ae4pHzC1w13hMJ+KbCdznyqw1bH1+B3Y1i+0QDD7s7zSMoWPJO1Me4ry3IuCqZRqhgdA7doXDtc8BJLEDdpXlUosnyR/jg5QFpOvvQuUxeGr7AQFgP87d4PKJ8mX2hHKwvYn6QoVofLFd4aKYP3Su0NFoH4NHaIicL+mLlEx2F9pp6gIhS+8W1QE6ZfeMcqC+qV2jYr7KK0A3L9z56jai19Z96ga7F9TB6ka4F9wF6kanF9sJ6kalF9HN6lukL/cjlI1eL/YrlI1KL+WzlKdQH+53aXifkuf6Wj9WjtM1V78CrpM1eD9gjtNAZxfebcpi8MX3nEqjmo2TKzTUoUbojBLj7APaV5m/tIxZxQ+Z/KOAiPBpQ0X/DOqo/QJP7AmT3zwvaEqmf6+1QM/dxgTZoOKjCJ2ZocM+icb0983euDN3sARNjryxAsnf0NUqlTXHWENjxiPAlO4Qv8+MgWuq5pxpXFAamDZgP5rgbZ1D4p8uVsbP3QIKYArueZErdHDoG4W4uJsab6gSw0LRI1dWkdtmMaHHMOQ1hYEboCmNs1GLHDiXWu4coaQsDoery6fX/R8HWpCBc3lVJYu1YQc55DJYhg6oi6MYnROnhyfXmz1Qh1ity3CqK4WIzwKvWHCFcq/SijDkucsI//n6fHlcUJ+kYIl51VABlYem0uX8FzLhfe1OYx0oaOhfF0mFyKXNIvrPYNTRDADNbePTy/gks3X8qio7u7apJofkdHJ0fuCmtl7I99bmEG7DrviSMs5uwpMOkIKjBrfhpHdnV5VjcZvlKryQvVWgm1b6hOOmgXuojetWIqhaL3UfLh6AOJRKu4o85xYpF3nmMR+HvXwWjW+igLG6y7VGy9iZB1+RFpO1xbq80bxOVVLjJOGPMUfz0+37rxX3RwOBsP67W8VZb1uCONYq07o2reh9pBK5tn+muB7ebqPU7Qn1TM6XNOsFz8dD++YtoqFXcPEO/sHd0y9P1zF3/PAqfeHO7dOrTPG1sWEFxenZ2dvoqlX2LRcrK/Rw7kdu0p/9WoNnh6V5uLTRJo7eGf/YPdwt76H53zO1nnd+vL85Rl6sn0ARBwdiLZmvLOJVP5olJOaN4KQEhrI+DTIxWKRcCpoItV0G8t5gMGxPWcZp33w88afkw8zM89/PT9+dRwdbhOecpqjV/ifPRfV4K9cE/Kz1Qg76tJbVQCvGcY569XSm7FVQqgjG6Ee+h2tyErz9XHSS8tIMdm5IDI1NK+4i3Ym/W0ODvYGDRb6xKCpjpipEOxEoSwpRLfVN/8ateBXjcPGHfKhT2tlXfjawRiZ5+KAWiTzlkJTm5cLsbY4DUwNsxNsgsKtYj/oHaem1W0eD6TP3Jz1udfU4sC5XmP5gmnXEZVVM9+yKNrpflFZ27eteME+R6zRyZt39TgjQ9WUmSoNszPWaPVAowIyzgsq1hVSh4YJVG+HaVrqX8+nD0Isowtr6WM8aAOvTwq/L1gSAbZubKNvH4jsG1rFLayCnB1+zbEDAbub+j3xPTE7SHaTZweDQTJ8ujfcvweKfF6s0TO2eYzOMIeUu8WG+ubkzRnuNGtdOyhIvw8d8eCxuC0Hsb80irtHPTQwiJszLENB6MRAkjhSzJWyUK7VYiozhhXyK2mmqNAhu0hjcVXfs8H3X1i4tgdUTH3dNEWDawagx+zMegi5cuoRNTXFbMIVY0ssTTHO5XQbaz33rWphZdP2zmC4tz0YboOfgotp34We9ZE4fZermFidrW1PD9KDw8Fuusee7ewM7YcspfvPDnYpzXYPsmxyDwbxES1XsBnWqFaEnfAp0uzizfH5q8vk7B9n90DRpdmsGy83zafgtxHE9fsPx2fenwWfX4cCrheYcrsqAe5/A9bhUraD2G0NBknNQRgFN6OSgE4irFTENdmwf260WXh4sHu4VwMUj+mrr1oFu0RVA5QwKH20nENlns/WDB9WC4yuJ8h7GVdQUMFBstXiuVD9IJRCWmu1D6iQc35KnrwDj5uqKndGWXdPLhruONTlV3HKfdgfPEuoc0vzGxRpa7/VcjmR0bwu5OrJxfGrrQRtKjCyQ1mAriRRWpoZVgSlIqulIsGSjktTOb/dZS85f+NvypnukdNXFyTGmJAn0ImE51lKVaadW57NKc+r99qE/T5h2PYgSeXK97RAe+jhrBKEc50Hiie+qyMFYvfJySvgGwsE5AFHJAzEbWHr2qeDl4/8xKczcqx1qahIGblg6oYpcnL8MCKUwqwt9aYiAMxCnpxsYcfSJn7vLh4CfFTqgGXrXMjTeCK3jqcPWceTv7676JHXf/XreS7SHnn97q9WI4uKhfXIyau/3rHmYet80trnMqV5q5zroy++n8bLmxdbLaXJsoeVFH/nbPEQTKSaUuHq7a0Zm3gqTZ68/oTNfC7ST0WW5lel4OtSHLtwpjmxM1rU3z0A9wajPwR/bSjkUF2B0rq+2urh6LTzYTFsnC8cnJc9cgGqy5sWS5/QnE+kEpzeC0UhzRUYjyvgdJu39pLPwdpDq7GZvQ0dkECXBlNUaJ4xhcW9eDvDfWewM+gPnvaHB2SwezTcP9p99h+DwdFgcG+ssMXTOtHCmrkroDR81h8cAkrDo73B0c7+A1CCEsbp1TVbrr0y0HGrGJAvToDlHgASO3IL1bcX9zsXIqTSUt2sa2NdYhXDGxaFVjHC8tw+kLqfKrSi8kKQuBoOP66jQkn+PqdFBMG1KfZ3hg+lBPtQSMHum23UyBfEIcICZgxc143lC3U6VsDqYH9/96mn+qqdsh6A/Sfa5lDf3lrmzlKKVlUXNEWLnZu2er8z2Fu5NCXArJniNL+qRfc/NuO6trI4VVWuX5cVF3efgtAEJVSBT5dRc8ZJ3AAZ1r6YUVcPv0d4HOSKDkIf4CXB1MqtFmLtpZCFHYZOZxSyVFWbuvv7z3/44dnJ09OzH54Pnh0Onp0Od05Oju8nLUKFi7VLwCi4amIJGZdcCmU2IinxM6s6geOddCAKHt0T6OnFBflRkhdUTMkJVGNyQZ/LhFwwFrylU25m5RgcpVOZUzHdnsrtcS7H21M5TIZ721ql21jOadsSBv5JpvIvL3Z3n/Zf7O7vtuiPwRr9+8pnZ8T/MZarDqarB6OJFUbOJtNcjmketDzBVr7waCD5R1imn2iYeuC/BMu0VZ3MuYCwr98tpunF5V8r1bVHXvz1ggry3BqdXKcyMl171nxJwFB93HX/YqzSGuYPQuWPNktv26i1JfxkzL4AG7SB6P1w+TPbk+5Od71qUZRgbCd1ekqL63bvhjzErDLcbK6u84/uzzvKOv/IpC9anEJ3H6WWLiYeyjTSKtgLKuBYWBXDiloQJO4hrbUuAGV8ymR4Ja7/6DsIMWzljxHbLJ2Bglg1ZrSQnb/x2p5U7vZY9XVZFDkPJbs+qVQ+N8t1VVI88QKyfc8phVGM1vsqYosIJsxV2gqMexR4Lhey76obpa1AyzD7pu6G+dXK2laFyJoI+6pWmtJN1gZYKjMjx2AL0AaAoLZccS3XResTpxmdX7wGYrcVhuNOkNbFig6czpU9oYI2qor5bfsRUKZMXsXFROoSW4opN2WGNSNzauCP9lXUf5ONXIqNI9J/upscDPcOdwc9spFTs3FE9vaT/cH+s+Eh+Z/6NeA6s4TeWRnj0x4bUUs0kKbn68xhUxw5IVNFRZnTWut2M2NLK1MZStPoav3EG6aNHrFcofRNoTOa7uEdaS6lcjZzL5i97U6iCF5eJS+jutoDOYcnZT0zrMqIQfcKF9bwlnMQ75H8bl/wj6U2UvSztLYuhdSG5uvaVZtvYHgUX82ULVgLD26tMCf0XWg0LYoaKoeWqGNGroVcuJYtFhWYSCryy/mb2MDBFopVFfgFz1i+xIPM20TQ9Ac+tmn3bG+wt7LHVLGpVULWKKzewgx3yar+3066YFqTtHLwdAqrv5VszOo8193S7XGOTNfZkfzu2oLFTNYLmsr58avj6LlOwN1BtH2spnDk0u0fSiakvjrmin2kJW47I8nrd+GLu/sWYZqRU/OsNOroXgjP6KopQaOm4eO2KMrknPK1pcnGCkIIXIe/kBDQJHTOXG/RuHt7rd2yIC9Oj9/Y/X+MTeCrYpgIf5wOFxJk1hVd4/ynvO7Oq5CSmCGD2THboSvF5zo2Y5oDQMl39VymmG9/8n/fYZj4lg6ebStOjVqPcrPg2j0XfJhxC1I8URuhndDEL3gzlXfU2VGY6w5DXp7u9yAhbYtgSR7mVIKEHGeZB2oSGsFgeKobYrwkuVyAS9kH5tdBxBOfeg8r1lHAxsGaFVRBeUI3Mq2fXk+0oNfYU61HsDnyjO5e7Q93tgKCVc53dc5pZkJ6chtpeDgqS11CZ56bYPZSoiB01uo5TEC/WQwWJGegYvSDlegG9LLxX3TXBQUjBYJUhh5zWZXYhSBCdm+4pVw6U5M8MTl66gvWI4rZybDe9dYjGIGfO43y82dQ/jHJk39M3uQXkjIZRJ90Fcu96PN/39lqC/paNVtt4c117vanFRtcaENF1O747OQC3k2+9xKqswut1ZfbralgUimq7ed1GGhFNaNFwQTLwMcGqm4VTDBnVJcKa9EtqIYmkiIBXF1YZD0FaUZVtqCK9UJtnTlWENY9cirTa4yuMJQLMIHsxv/Pcgzp/NAFOQuFGT9l39+erPQoymMV0u3qSMTzdVVDvjqoR0ynRZmUmk5XObKhn3x2dXuX+jdMWZMS0qfgDMDVg4iW0Pjd3cNWbdft09A9vmb5cIOngeu9ja3rIzXqIqW5xXtCrbZkKVTrax9pWUfwByVmIWEe4MFefKtb8S902rlhik69olGZ2e513QvdyAcA6TAYXxphuophWtUEy7i+ThSjWRJn7D70St9IU12A+yxg8mRKyynbgk5d9vBMmdaT0hrmT+h0qtg06i5AkO40zwE0veUq3IeyLNgzjqQyz+9ZcQ9Qxd5g68fVzmOY+CPR/Xx2CFoMchKJTS/lvTFymyVSVZPHnZHGW8IOsrmpb7NRwohSkVfM/HD++qJmvcBMWCm2PXYFdDRTGBGsI5f8ojqK1L9+dfn64vWqSzFlMvmC3PEAzp/FJV9H5gt1yyOQX5xrPgbrC3HPW5C+eBe9BfKbm/7LdNPbtfnmqn90V70l65foro/g+jJc9hagP7/bvu4EWBPlN39yY8daWrSpzo0z8KqcQk0WMycVRx6yEfgD7V5RzJRKaO9PBh3VWecfcXU/Dj7Oz426cdxA7FgHOqLZanyRxBJe6VnZ6Push2uMOaOCi+mkzK3UXMpSESZuuJJQTika/swvuYuwVxhz7qzN0ZhRgxX3mlQoPkIFXnThCb4RXjSTNINPkqbrYhby8vgknjZQwCIupHE127F2FQjKt89PyNPB3g70Pi6nU6hVfETOaDojMjXMkCeujVmPHPbHvEqstvbeFna7dJqt8zIsJPk1RF3/k8zYB5qxlM9pjk0ANZnyG+87hzWtDBnkc5yYQjO3UriWzFwYNmUqIRdoUvIb9yBeeznfuuvMG0acLYsZ6zg8N3/dGAz6g0F//wz+3e3v7G70SOvLPd8g+/Z7lsdZvld37nOI33Jpw7DDo90d7ep3gn9wLimvt4Dh/VtJcyhFFcaM7ETw+lHUgJyrv/IXldqSHNIVrHKniF3KDPo1WVO3vnxG2ucbm8i17k/YFGqCP4br4TanA1whyRI8nTTP/dTAOtBEpdXJG0TRo7kcGqgWNL1mK5UIXw1ZN94Xhy4X61taxVIGoYQe6S8E13WvbcD7D8JX6mRC5zxfV7j56wuC45MnXmdTLJtR0yMZG3MqemSiGBvrrEcW6CBrF8DAJ1twl3n+eFB/5jIkrZsFlND1SnChIpXzLXW7vmhqqfxS/ovetNb2minBHpFKd+OAswWwwbBTdOEaNbQg30v2kkF/ONzpu/voJvSP63v4MlY4rsjoCHXbkv6jSQ8fEfK51tPP5/ZuyoSRukfKcSlMedd+pWrBW/t1jTV1Nt9plIYjN8/IeRugP7VhU6n47/iEbCLJhZGVYloZm2MlaQYmFVNQgRXkGG8UV/KPa0YmMs/lwo7sDJh6UVXyxMeTsK0jkmPx+TlNgaKCf6hyIhettrPnCNLrC2v9bG5CTw+8nwNnjDOlXBxGzvH+jdXbj9snxpUOF66SE/ImZ1RDIUlSanDK2LNGFsz3KYEUT5zq7OSiZ6laKFlIzQg3kU/MFa5va+GA5j2OpPVW/Gvx+aoCazhIhnvJsAZtm6sfx064dL31GjbCc6nISS7LLNza+AslzMiAq3zXyhcqEuX8mpGR2UnmLOPlfJRYZrqZV9zWvjIK9/Y9bE0T7rB8Bb84E6QyzsOIXUZ63VYoixUr8t6mVF2wVIpMVwrRjGoyZkwQjFqrL9vuzn4czmFMLQLzp8vLN/D37eEcz338WkiasS9hx37Ibw7yp1S5lz2amdBEwiNlLS2VexGj2G8l048Qi+kHGsts+RD1/KO9tS7i6nIN8AnM2iT64eHT20F01ZNXANKXxfpjzvBLZ1njct+J708szyVZSOWaPbTwXsOqXMLVvL5rbZ5YYMGBjj0vO07r4d5u91KtLQ5289j5+5qhsNAFq0ZrcOwrF0KYy6n20SFhLdOcQwMRi6OGclBQ3hRKilLfFio8bVeUZ1WYJEo6vI4hQoq+NlRkVGUIBhKt8jeP/tF/i5D1z0+rRiFS2V9OHKBcCvtrR0XFnV22t3/wtM8On437w51st0/39g/6ezsHB8O94dO9ewS0+EWaMzOTa1uo2lrgVHd1w1cMPFfc2PMIomJDL5fQlxfDz+vREaMfzy5H1ZE0mjLju6L8yC5H4Piz1nGzuI3XtOp3TG3Cv3l9cdlNvTU3F9h8yV1ZwaBW2v3YlP8RRUPU1LyEUL58WQ/8G1ON3gJ/UkcN42IBVVHTKn7u+dEJvtC/BB3ZtcElJ3JeUOWtznkMMg2DWvUvUhrCbJubmsTDulG9QjJjeeE89xkzLHU9IRSjRpMQek3InOtUigmfQvcpt6nbK8nndMq2p3zlArqexopNmFJrywF+64avWDHeOi2Z62trjHM5jeuBbTdg14UUmn32cx2nXfVgj4H8Wk/2uzC+/Wj3mH/us91B+7DD3QH9R4s+B8bjyb5oCR9R+LlRO6Qf/vIQ8VeTdWFUp7w8isxzxNWGmlJ3RDF8eovV+r7BibqDGfYG9Zjo9Rr3ANdtjrUhGO9VIyTnY4+twfPal3fn5IUB4rw8X+NMsVQqq1jCRQLW9MWP9XlJzZyGAt2Kuebw4yW2iUXWcGlNE67YguZ5jyhZQuuPXFK7OXIqUqa2wqjVNvkQtkkYa0ZFBh4kGu4cUimEuz4g5Ny9TrXdCm5MSqxSl0fDVCRA4PxYmgktFdxqEF1QAS0Ot3BPx3D4i5YOUnSkPXy6pUxzTtdVazqwDs6Cdx3VSlapfb2OYDC/qpUXxbLs3Lc5Qh0XSMxBB+4RWRr3QZFs/ru1jiASrVoSQeddbiz34qrSZG1mYEWv89MmsWpsX1Hr4tXLN639Q8j5acfJt7IptcYQx/N4LdjtHNFuyWRmH4G/KvQwjeXXC/fnHblJp620IbDJ7EmWy+kUTiiWzqjgem6Zy38JJrWFPqoRA0Z5lapkBWC1Wh9NV2pN58b1MjS1ZgKEtm5btdrPH6Ux1+1IvdS5nIaJxiw60iA/k4wsuPhY8v2ohoh/q+qMJp0fE5KnXI/YOoZWvbBIsCwe//tgy45LQxR1TlMyQpi/H0E6pXDe1LOTC0e+R0iICv0/16XVtVpYWYJDAwCwepBWqWV2a/o3bjTDhr2rx9VKva2qrT+puIEsqBabmwYzcDDjJMDXI5mE9QpdVe/yGGzfULWdy+n2pBTQCUQnfqOtIFHi7jaPeivw2ntRLFYhHtovQ72AU6CN41wZU8rdHmhHIDeUAlMLGuWzG6YgoNk0Ss7C6S1cbvJUQmIgsj0MghcMsG/cvJlkuCq4sZb27UpBX8oSvHFFaeLdFva6lUoeGAK9D1HRuMCt7n/ainPX5Jz5lUSRNFpQJUY9MmJK2f/h8E+la9C8w1vHlHL+iUjUTpsehEeLdo0DQHEid9Lbs9C1ckTdzJfJLXUJQijeWPEoaU61D+DighvuUgSrGUB3cJYKJWmpjZx3RxlINfX9JrA/UjKW0mijaJH84D/ViIUOP+jgleS8GSR87xAaO0QUR1NrxEi58Pab4zkIl0DMneMxzkVr7JcGqns7t+KxzmSIJg88Fnbh+66KAv7qOBQTcf3fa5Id4wLBDZ8afK+arPsVOy7IhKofdXuDBb5J/kVvaCfRS5GusXhki+RuOrsr0NndovJHeIf7QpAhlR3E1ArwY+/426B00m7ODIWclViWuzSV6AxE6TnnJmaLG07dMOHGXzNG3j4/0WR/b2fPIr07PNhLOuBPJjTlOTfLZB2uhM0IQ1f5mfgJW8cbYEtvKM/pOI8VgePU2tuwU2SElbW7LVq3ZCRT4QOOq7TjMKR9d2e3zbg7u3fSaI1SIqKUPan76BFbmVgNPCCF6WkXLoXiUq1WhPZ+S91YZj9Pm6EfuMSsGpJrcki+r4jzH0FZSMKIcJSGQub2fQV9Ggj7ULDU3fX7gGzquKeRn/5s2HHTt7vfRdYAwP230Ud3TFCSVt4xNdXZHS1QoB4aG0YCI9YWq8o9zYkrSQNUajqrzk8vtnqxYmg1uxbwbmdOpSW8s5f8j6PkTtCtngmHmdczLbDacJGaSJ21+qbVeGSBil9ewZ3KAm3yhm7ZCUpryTtlQljwdWsOfzQzhAnrmQIrMQH4J2/hgMiu+AMXP4Kite5nzkxoRJDHPplX0VcfKZcV4r9rhWPQkTufl8IZAWiByxumnIZCqyo1EI7gx4kLv+iau8NHuj+kzIwf3QdAuWGbSaJUODXpEQq9VAbQurYRdNKPaiVHU2IXRHXDU9BsQ9SKczLES4685B3pgXZPkE+3M6YNOX+je+AQ1724Qr0Gc2zBlW91sdWI0kOV3enbyBURkHYrVXBuhpIDYYyaq6wdk1GhpWuLHGEzZj6mo9KRKoIt2LiikiXlCK65Rx0j9Vxc4oSmbCzl9SgOBRiZhVVd1agRaoLoRzeEYxZXvjEyVGzDrOPfSqaWXEzbe5byeY27Oi5wW3b9fS5vN/H2Fm9tsbkxUwod/WNptxSU+GjEJp1PyAjZBG+URxgBY1nGGh/W9vffK5c83SMjv4/dT6jF8Iqaupx3HFYHhzUCOOFillfrDPrynai9K1VA1r9Hzm4LLBCHO4NqsmB57uRfwKdQ0shU5lUafV00Rm2EiJEy79OpkNrYQ9GHdhnpeb2S/5O8HnLd3Tk66oViGSTn05nZDsTr8wyK6HXog0ez1/+hX+399B8vf9x/+V/bh7Nz9Y83v6V7v/zt98Ffa0sRWGMNfqaNUz+4Vwz81jSKTiY8Td6Lt75zDAvhVVSxo/eCvA/EeU++9xeb7wUh37ubTfzMxViWIsM/ZGmiv7jrxOxe+uD/ikcm35NSAHO/F+8FCOU5LQoreEBMae/YtQeeM4DmUnAjlS+5wj6YXjxkh8e3CkyDkjiaQIUNS5UbzhY9V9MxZK5q8n7DI7wRDy0Veb/hsN9I7oTXk1oqUjDF58ww1YI/Htujcjf8NcCbyxomqtGjEzlcpo0eeb8RFg3+Cou24bD1yxYRInkvKvdS7RXnYEqV1DBrgIjAFNA0HkP9uEY3VAwp9ArD2hsNBcgbYWYhYQk1qBzu0jtMkqDXi+Za1oZFMCtMwuS1Gd2m6JjL56bHg/rR/MVIBMRlFWMfRdS7zJBJmcO35xdv7AEeD/n3N6/CiRri/ZONttcJaFkTIxOpFlRlLLv6lOz2qnUx3sFETsjoJ3crUCj5oR09NXy2kwyTYVL3qnIq6Hq7ckBpiDf+sHiFNv4TL8gXi0ViYUikmm5TrfkU8hT0tj9e+ghc+4vkw8zM863KHLlwxwooIblrcuLf0m7xac6nwh1ooBu/YuZ5LhcYtgyfXHZBGBeinVG7L116QRdO7dZ4dUILsRKJb/c/vgopsYKp+KKXZpk7gV3ij+V8r47c5FS4h2NncbW3IH5GMDW3fPb3F8evkMN+63PR/w2/MBSvh7kmrvRAQo5zq+RFdeUQHn93aKdNeAZkhc/ukhFgj2Bq3ONaXSIMCXBoJjJ36Q0yABYNghTtzj0c7CTD3wgTKS10mbsQDSMjMY8RMA1L+BfGrnvkZ66YnlF1nWwFgn8sCMMikDjs1rRjgObtUIxauE5rd68cZRFhsEZnyGtn2SMytwVd3IrOPUNj1ogI1ImY8hsmXDIeFpSGjCJnOlR1rPyma6LzI0Ru/8wnvAZ2Z1L7XQZPl3HjM9kfYt64dzsMnOqXDhPH/xiG9MZOt5GzU4879CJ5DXr1pouWe31xTl7KjOWoqS3irLrjyJ3wgi6ZCgAl3RY6WM+jHhllQo/ANTDSerY+ozjkxYWwa38Hvw6KXbitGQouVApBD8JmuNCG0SxSVv8T54l3XSglU8UG5UDbJ2VW9IhJix7hxc1Bn6fzokeYSZOtddHPpA3yrSkzdAVec0c28lliKbCHdIgarxaapT1S8DmQZV1EsVPXqPI1H2F/hsMr3LC7UeBp56d+HX93V3HzKDizWeEcvIE0FDLp2dOqRO+7VB1u3IyBdVN1hjYsNT0/PgaoYBTgR0fs1zVoZ33bIwbro+h6b7uQ8xwiX3xNcxyUipRhySSHKhh9IdG4FcFvJFGlWJ0ARMuJsdMlvnBZs8a6vzfRPfCtWvsKrGUujCq1cy/jQbtdKMAXxvWFobwqWrkX3MCom7phY5D+f/bev6mNnNkX//++ChXn1iXZr21sfiVQ9dS9DpAN9RBCMNnds8spI8/Itg5jyavRAN5b971/S92SRuMxxNieLMl6z3N2wYyl7pam1d3q/nQwI+QZJDIF27s0tJFq++KjL1r4H7ny8PszuFmgSfLExYLV4S45mvcJFb6GA6SOfKZ+X6QuJxT3Rprb3U/IG7iwo2KGh+JRg3xkKUDE/ZmxDAcmJ1dnANEPXctTH2kcKwmIZHloxw/jO30ohvGOvFLRyQMS5U6OOiu4DWFhzvxiXp171y2IFRlKdKPy/HuI0AfJ5OhBG/EAkok/MIxWxA0BGIzhEFpiEhrvT1zxgws0EtLBUgKqRoUImB/X1dxOu1RTRQXu3gpKC4yjPF1aQAJ8jxAMxBIyr/K3YF9eII11KcGz/aWSDH/42oISx99nsUGJoe/ZjAtZ+M6tuRJTZTje1UUkrBZ2iLzulsCHyJ7g7jEdDGUX+Q0gVQxyG4tnhe2RdWovFWrkxEba8zPo+OPvNfLhskbO2MA8YRy9aYFeZL2ER10cZv7m7OumBuumBuumBuumBuumBuumBuumBuumBuumBvPhMEz1NCjaufml4AojGc7frzyU4QML32ssw6Fbr4MZy+AilIT4w0czyix/7+EMx9H3HM8o8PDDBDQcV98wosFFJEdh0s9iEY0cKYLiqFOnhdVWpWgGRDH8oF+JZhx//H1uSS6WAJgn+OXQY7NP8Yo63RSa3JQp8JJaN72Z2hsrbHqzOr/4KEcXeHItXe4+PAjLYwEKMBlKy/DEc6m1RbC1IMc2Nxv6efaev+X0N49mrhEkU3gIL+PLCiLVgAr+17RLeNonQoaACZDnzFjM4hB63dKVsL4mbDTWMxy5VhfSZjs/FxZi3ZbD/uFlNG1Yt+VYt+VYt+VYt+VYt+X4XtpyjJWMs2geHOJFA3l2hkcMmikS022L7O7xAZjiNKm2AsYFxuxkNuxVNN0ra18yLGL/5m7TkOENBWTgjVw9cdGcV7Y9KBkr5q5SXGVNPtJkzNLGLLQvV/ukQkx5Z/QB9Fecwn/G8B8wwOAHmSQMAMIwOmd+ypPcZtT+F4JTOb6tiGUVKGG/wMDzbbjOZESFngpvz3x/V0Ka32rB2ZljOUVDlmqoX4DvumzT6c+/2n/FpgIGFUSKobPtCqV865rCrE7HjaiAXrCK0EiTbOzO+OWACXi3Wr3Yvjj1qhAL8D08JlVqQpzZQsOqYb8R7lo9pmlrXi0fJVmqmaoyjFS4j7fTPZe8TFVlPX+5PHPEGcE7UdutswzN1e6Sq9AxWUy4cME7zqPFVSw8jE+gu615X/N9C7U89BZKhBMalR2q26zH6mgZzG2yBM57VWdsMAWh/T6CRtlYIcJqvOpLhV5OXTNBhS5rRAI52Tobz7DaLerivDw7jfit3mA3n1VNFPjPVWtYH8NSXR/LuB7F0f3cZqfnp0I/xfVam58XW5Q9LxMV0h6eou6NR8sLK07Na6MEA3QZIUc0hrBFIrO4LzMRq0l5x+VfeZq/R18zf8BPff4V7KNwHFc6wIQyegIsRnSqgjvZHJAokqMxFS5aJpXNXClYm1PZHiEYUuoR/IcsGQNMFFWKCjQW+jwxQoVxoJubCw5yEbMHcMoEPOgCjJ6MnJ9VYDtXdj31ZWYzLj21JI3SYbE6cr51ECjcaS58lzu6hU3svdJOfvY83Rbik8Pz9siBszftdMxjeWP0u4wZrwPGXwkYf8fR4u9bS6w4VPwdx4nXQeJ1kHiuCumXHiEOITDogIUn/UXw0ZMHfG4tPn6+g3WYapokLPaFvm5WR9+pdiOkBLQnZKmVhnJfyzNEUREFx0rK/wpHhVxkP7QlBMe0Nbf5WJBoCl1eosDMWyokpqIh1yzSmapKadi1KkxVWvWHt/vd/SL6QC/jSVxxvG6zbd+lmasJ6slQMR2t8dslf83dbvGfBPggHhPKaDmuSedDGysMBBbCMwCWc0PMAIDs7/bfsLcHcbzf6jUP3r7ttbYZazabvYO3B/v7b/ffvGk1o3jeFz8asug2zao6247s8CVhOQ7BY7ljCqFUZx3J+297O9sHMT14e7DDdnabBwfRm/gtjfei3kF0sFu8ngkmr4ij42JlCOCnFbWDp/zTmAkPyazkQNER3JskVAwyiEpKu6VSSI7dUizhtJewLdbv84jnVe8kxxwoepYozm4aycrO+VMRw9KIARnK+5BhaFngV9RW+2UpU3UoR6mRQSJ7NCnJBT+exQibx1OOqZ5p9l0ZhQgYYDPpK0ou4RETaWW20RkOb5tL5THTkDL3sgd6wphU1BgPStuzAmSKFgaOGDr7So5I5+L4N+KmO+OpNiJQoc2RpryXsBxCLx3HDwCfZ4dMt16X9Ux7TKMh8wNvN5oV+gczj4hginznyKJhXl2/rAuqhyjJwrrx0oYKe09lqdqCrb91xJKEqq2B3Go1WtuNg+n+wIC+XlnA/oMcGZIxCuYnC69IvGUD9itPc1PFdyslTzSg8LC60ugys5nmPW+MwTMH189qTuF2TKHpbvkc2d7eaX0z58iFpsu2ACQ+Wv/A2aHhFsOebJMxq7kOdHpIi4/gpVZ+BQFxCQ9Gc0jUeFQj8fh2UCM9xe5rRJgPBmxUIyKDj/+bqvI7r8Zz39BUa4m5BS3OEnaD3W4chE5B0R84IR+gl+8iHsGv6AeSC6m02frk5IFFGf746uLktW/l812Y20cXXwrTEE3VgGkfJoYuTyXze393buuxEL6vpJBEQNEnTFPIoMDWgBZcNyZUw1M8YdD1rxzY4ZGSRuuRI6nGUhWhrL7CZvVWpWc1LpuXz+T0gobV2V/hzIxdsVvlWZvym57J1n5jp3Gw32w2Wm92W3vz8sdH4yFNK2uqmUPjg3MzAgR8xLa/OLE92NrCUUHqdWggCo+RgC5i/mJzzl3iQp+LAVNjxYUmPS4Abxsupgnta6agTbURl+9zgU1JIxmzetjGkligT+fOpmRIoUghypQyVjsapwhDGA3h7gzQ87Wi3h0G6jHC9lWo/fv7+0afK8YmDPD2e4kcbOmhYlTXFcMmhFvbzdbuVrO1pRWNbrkY1Ec0MfZIHYVTNxNyMWgM9SgpH1TNaP9tcyfaZQfb2y3zQxzRvYP9HUrjnf04nrvfuuuj0YXXoOqSOCPIZTRY56J9en7VOPntZF7+qk2m9EzNyqh8JnMbXj9fP7RP3CkMP09f5G08zX3Ae+QqlJ1hEHz09JX2XJFCN8XsC2nzOvtLaejBCJ0ALOpcsXc89NxxwxEebwVbMeiGO0LAuwZWTt246cc8viGyr5kgqaaT1MWkcSrCdcqSPqHCr67hasxRzZgH0R93/QngsgvJzePKy9k5g6oqlDfbStGJxW0H4VE1yAAQvmaEobSP10PGUi+VSaaZ64Ocq8ghI8wbeoGK+0gnRiljJgFKbKyksaagEJxrflcoN59Z0wV+YY+LrTQdbtTIRj0x/85Spsx/W82G+b/W/nRRl5FbF4AknucwTUUimBhof0S5PWPGhlSJybRnUiiACrocOKhY2wbDcGx+62XRLdOECppMUp4SKchQ3vshR8Zs82tC7o0/7ZWClrhGwatEPsJp4r8wQvlT4UfkNhyFhkSapWMecZmlvqdVeQmeYc7GrJvygaAQl475gKW6S5OBVFwPq4qRQg6NPfCIn8wbAoaewtpNLRii/ZoFw8Zpg4ynQ+K5sA0gqG/vaisXfVEdNMn2Q7oKbaPK4UkFoM5WReV941A2ObllqadDur23v6Do2QNPvwp03pMyYVTMkuk7/FPY5pb3Cc3FEvYmKL2yRp1tLki5+YmLQYX9mMx2CaKA8+4TnvpHXROl6U5k5nXN+hRcRSxZzQNFmB0fduBkeStixRJ2Z7uwtMdmV/30qQNoGOV9EclRw8zJGg/jqAE5/IuKWlOdVXe0fO02KOgAR5CU2SJ3GjSR2BUjUpOxlgNFx0MeYbfyND+jwlHvaMLjEFfKuO0qS7Wbz5jgd4xkIgfotT2F3Vfzr7jk4nx8P+w9TUkm4CqIzeipf3J5+emy++X86vJL5+rkuHv56dPVokuWARxMVbBBHRy+YIlC5g6qspUGBaY404yOKn7pzRSrfPNhPLh+g/oUuIXMr7zRqG/kL3p+BD/vhT/5/OG3399+fNv+ZVHRmhNK09F4DuE+djl0bN4nKmK8Nvc9kfzmwEPBvAh4oW9eJWjxA6dl+YjYbm636k3zv6vW9mGrebjT/H3RIwPez7muvp448TY7WrrmkqGOmPHeGzefTwGl8Rh9rPzrj33P2WTGn4ODg8UIvaSHPLcjCmkwAItUgBE3ZoaUiWvIZUw3lkzwNhoNEFRwZXN6mbMZlOKSYp5tWUC+Mh9wTZOijYFX22YzDSgXqS64HBDXmWC/uELL/5lqnRbW4is6+7lyGo2oiLsJnwuz5Z4ncUS9CltJel9Ryu+zJHFUEUMVbhRwF2wzf6vspnM2nY/nJ7W+3pSPh1uWJknubATyh9rEkheyhBcYuoCkDj0wFfGe37zLxJJ+4xvcGnyk0dCIvHBzYNXBydn7R24N3u7X5784MJz0Jpp1pYorq6N9NzGWGfszg9tP2X+c+DOudcLIiYg5ndsAMDxE46xb4TXi0cWXQjXuowycCu0jvvMRrhhs1W5wYC5yrp48aIX1Nph54bINfJtLQ+5mml+buXwS65jmRoUGldbLeKIx4RrChXEDsu2o8DidfXqLB4gNGWMrCZn3spiLf/YAsfo5OO8nVGsmWDyL/TNb3IzDsZgwxLjDmjw8FqHc+Tm0DeH2skF7VVeo/lK8kTG7K+x29Q6PpxzP7VX73enrRVgBBMaKmMC7XgR5fOw9eQ6tZpdWROox1ZTgXXJAqJ13AVKZ0GoSojGvLKXCCjWfYBWSRSjQqrM4N5oPrQ1wuH2bdEd0bk8+i+y0S3u8InK//r45yZ9xkT2QT51FJF/hEWV3ylOn1HMo/eYKb4G3z97zrurswOFWdHa4HpNzECdY4HWWGoXB5YC7/rI1CfgCI0wbjYauoWV53YP4AzMLZf28vDjDhl7tVRUA5pqhEQfEIYf0JiTNevWpZrSQUimYsepvQo4bP9087/X2X4yGfHsxBVqAgZlKfOb19M/MRlJ6tMcTricQole8l4Vis3QstMxwBMjxPBk4zyK/M6RCSEHs8CSiSWTb5eam3VKE9xNa2bWg2YgduzfhLYPJFqOzwqyAEplhfeHzqHTI/13Z76esqhv/EsE425IkL54SComecxHqOyOEBTfPo7fCM7RErhlqMSrvuNIZTboWf3XVdmGJUjufw3tdjugqkoMfpXiBnTCAcNA3Olphsr/7aEWOFzha7RefYY4s+uJYyTmB+U21EL0Vv+RTtD7/NR9SxeJuwnsKEgIrItVZpjgd8dPhNRKkCPA0YOhZPGiW9CvMyXTDk3Qy6kmbumheq+d7JWKpaiTXMySIVRP4+qzLpNZ+vblX3965ar49bO4d7uw23u7tzH+hhKgpFV4/Po40MuvOkU01e0AthjeR0GYXbkR6AcwLVslhA/E0BAb0o8o+uQdQ6UJ9NxToQJ8lR0g9v7/78uX0uEY6k3QkhUv+Iz9/OT1O87pv6BPsknhh5gxYTSb+rhR7p/mmsnBNWub6SIpUqyyCWzRqc+qSiR0ulBygZEdyZKgaKxppHkEp4IhrPgiv5S9Oj4liWQpw/fcsSaDsN7jEpU6akd9hEhAW+YjVCI2UTNNpcBvi2pwY6clUz7hji7aj3b29+KB/cLDzZm/uUtL8cmV1u/AbI0e0pxIEiy9vkCA4JbHwemdKJnxWs7/npfBdwc0V13hbXczky9uCwbbSTI1cU0ZAMWvMahCfGwu0h7YCjOnRO/PJ3FtuEdGgGjHMrDX/wKXcjBLC1s6bebeOeQEbo3ivIvX18XgPpyhPmg49xuKqZ+18aLeemDZPjqtg4u29/Sem3mvNE+9YcOq91vajU6cxY/NkcSw0def45OQimHqOffddw9xsuiMNwwb++x05YpAyQyJbao+15zYrSpGUj3gyqwBwWnuNqTIqZJ3A/bwE7nkqM3LJrlO8v2WKtxX8OtP7b8v0nr0C31HC92wG1nnf1eV9PyLxdfr3i0//fmTlfpws8NkMrpPBV5cM/oiEf7Sc8EfYXKeGV5QaPlve6wzxr4lrnSj+HSSK29X6cfLFA4a+97TxgJXvMns8pP8fnEQeiOGl5pIHJP4gKeVljl58ZnmZ5JeeYF6m+HvIMy9T/T2lm8+g/jvNOi9z8sKTz8sEv/Qc9IDil5qKHpC4zkhfVGLfW2L6LBa+p/z0WfS/4DT1WeS+2Gz1WcR+H0nrT1L+cnPXZ5H9YlPYZxH7vWSyP0X7y01oL1C9zmtfTGLfQ3r7LLJfcJZ7SO53nuwesPLd5Lw7mr+f1HdP8ToDfp0B/zdnwLu9+FIT4avJdX+OYNbZ8PNL65smxT+TrG+XNv98wr5hYv3zifuGqffPJe6lJedb4l5gjv43SsOfX0Zj9i3u+avuJpMz8w/pK5Mz/ON2mMl5/NF7zeScrrvOrLvOzLNPfvj+M57Tf2InmrIcBnOFJ54VDT7NvWrLLzRpCSrqbOKv8+x6zIxvvOjnGmLjaepLyfrP69ro292U1mB3e3f7mcSB2zWHcJ8Vs7JZpNVFrUBBxY3Vb4srGJicHq9CtpbKCvWTJTe8UfQE4+z15nOJ5vplx1+83wCUTkUmzA6Ez2sYkkNHwtfr0dTvUZAZOQpyG33p3qEfsh/0H6ekp+R9yhRJmQZtxrUlwkWB7lkP28fCaS10MiFyzESQRT7vKmRjQ/nzdnfRcWSRFHFRhQ2pUWNMkGxc2i2tne3nGmz3UhljoBtzxSIt1QrdjtXvGrM5LMHEEzxd+jstlK2hHLEtmvCIzS2bH8Oj/Oe4kj+0D/kPcB7XXiNZe41Pb5Af3l38x/uJL9FB9MR9e/fPTf2SnDtvvv2NrtsUDS/BMfMkvUC364k378fxyZxU/j6Py1Hw0v2p+bfDCpwtR51iA55qKwvbj/oy/OzxhtTvgV2CDaTB3rKHjR/A7AR0Fyw5yP5i7ZqhwDLMTl65JfrJFUrBLOReca2ZbYPdoynb3yVMRDI2RlX+Cr6XyjOuyozXSJpFQ/MWdpj+xZh/Jw9QuHLJBp8zpib2s1oRjABaXadj3PEyT8eCYjRM0bpJxl3z2U3DI2jIsTU2e5l2JkOArMS0s3rvmHIVFoAckWez+rp9owcuT37uvjs9b1/+J3LOYmfBluzJ3z+/y9pHzfYvn99dtdvtNvyO//xrXjsDlhhPoK9BLk1V8BcX8ghhCbBq1yyjeVFwXFcv5IVy4RmmKaEuWXjWN0H+di3cQjdg+VMuBkEal33ebwaYkrwywuz8XgOhnvx20T4/7nZ+f43rHib7eBq4zp0bKZgd105p68Ah681OCBvVjP7xy9nVKcwFY7vhkoT0cirvqOJQkZkATBsOK7IRUzwCXvOda8Y8/vXT5TFu3JOfu5/NbwXSg10WbCKPHxSziI9oQhSz+dLoc71ijQG52Wht3MxITdr8Y+Po8Fppeq1Y3NV6fN3j4no0oeNxgz2wZ8DawcYqZxevBtVHUxFTFRfXG49Rqy0cTkY6zSFuiXm5GPK7Khho93qK3XFYL3A8XJTLzFc6Rj78++zjvATfskkF9H7gd6wOpw6/s1mCsg+p+SViO5/eX/3avjy5zp0ip6rPr66P0GKxhY/XpyNjxrznCSMnkGZoNugnmDS9vufCEGr23dxeE9XDCtgHZBEzdggcYpaqZoaDNxR09KyFu15aIP41nyGY62PWywaDoDLuKxIK6VyliM4D9xnBCe1ZXtog81GcG0ug1Yq2Uv7R46bSZoBvmTJtjuoRs8hUfRqZg5hqRsb8TmKWspKZiAklY84A68PRZ/SYO7sA4wUegEMgRIOzcbDUmMYAfyQmZJxQ8yQX5oQ5OerYzFNyFZJgh8YIk6HE6oJRjaQaglTudJJ9AJ+BKdAmsGcjV4HxkvuSFptPkBsrxcaN56RtFGSkmPbZ5UZCpxeu5omlLsTmAnwiZgqSpGtE9lKm7piquVT1fEdom2RbI1HCmdA14h41b4lg2hjRjb5U91TFLO7ycYOc9slEZoSOx8zi65xeOL2tZU49H9/U4ElDkjbmAgoNJEbJgN8xYVjQit9xmiSTGhHSWP7GBLsfMr/NuYbJKAQSe5Mc7TSY6rB1sN1oNrYbrT1XGbSMKV1hOLedJHh20HTIUtweUhhBKbfhrMWFeEfutaiBDL12yVJ0NgE5LperHdWIfMiSsdlOKdeZDcqCVM1Um8pskRRQ0oa0iFwFYdgc45Sn5BUigTHF+hK+YTaaUaVwGHoC5kcDgeT9CuVrxscCeB+yNh8FlQyzBX+C75YXR/g8HiWMvP98fJ7WSCxHlAsss6+Br5lai81+ZDZ5wmn6jNp7Pk8Sr3+oxLXV56cXM5krxhrSykCY3P4G/KupRYDPZi2Cz83/iqz8OZPZVXKHjPv9iRPGPGNfdii7cXcgDuoN4kG2JgVLZcTE604inbzowDhOhgBb6OiKdghNmNIBt0IioAswlntUdpPBFEEBkR0Nr0icf4CuVEC43YWHTjc7ouIRT+HqyxjSSibmMNPmuEtr7lFDGLwFp8edrdOLTv6HPlfsniaJ2cis54YMkEaCBzKVWJS0tEaYiBH7JWbaFrYaVYFHW8rIq5Pjy9ckhVi6L1xiOlqBhqaZHsqq9rAxj8wbPKCC/2UPSKnIOGVZLMVk5F41JAJedfjJaFiJiFQsLihVWEO34/yOAe1e2Peha9fRVNXPpIqf4cdFVLPBSiN3xZfbTWDFYo1HO1RQeMlsZxt7TjkReJmYsyrfNK7GbrYo2lqz0dg4X6eBBXfG6O3c3m3lF+xX4MGX7tZh2e1yOznMZvJdIqNbotifGUs1WIrjrJfwiByfd7Ay7sPV1UWHbJGrsw5gE8pIJuncR0tV5ZVt5PH0GNUXT13V4D3XQ6z4JmkkEebH2MYDMDO9TZrHb5zanLlxnrVhWs3WvHJJeMREWtUlTOhm2ZmsZY421NOawYsGq9aMS0RjRugd5cnMAr/2mEZDRrYbc6fcVXoBxQq3tMAnhAIdhOp878XZp6N/d4/PO13zEnSvzjrz8qYYXNxEVTG4eekmIF8uz8zq0a8hj4dr7Vd35mng/2rEaIY3Fj2etTbAinDPm5spiWWU5fXKxdnAXTNv5uZmvp+E1PkuqhknIkRYpCTh4hb4wbQLJDDBSywUQc/5JvkhZ5G8wAgqRypd3gYTjXt+y8cs5rQh1WDL/La10PIaC6wy7JnzqZ2bMl0jY5nwaFJDiwUtAkhE9KeucbfgzX7W2Y8lryM26uVQYnmAzgZPuxdW5Xffo/U1r5yy7IXofojrSOWzGLyM4EhI8zMBnafgMEBMh68fB0WFWT4WWs0m/v+8sqs2be0K3mLMWNsiit3xdNp06DHDNewdiJrYTi5l1hpf4cknZICEQ9epk3/yhPPUts+ZRXaQLTS1Nz0QyDJ/E4R6pyKSQtjl6XtDHV0hotiAKgjLpgzclrQWPI/r3+N4cYv6tJ/Ie7iXU3HuSb2XilwdXdhRaxY6zJGJtEWM3+UZNFxwzWlCOv95TsY0umX6VeoQE+2gZsCcFrz0wb3oja7pmayCTCYlefyPXAs4uUCiHLWDQ4TS+keERjpD3IWUWWR/NSIbfrwNoz/gVAuGdVSIKcJThPy3f7beo1XeRotrypM0PyzsiEgKYLeLgVvgfIqQDxsy6RQmQL8auLAjBjDn4Jz+dyZwU8DFF0Yd7bdnDZaLVkhdGrIPKtgsI2YjTrvaRzj8lmOheLeGYTIaxyRlIyo0j/Aa6gHOWCoIe8BUxVpBqfMUQmv9LDGP3XHDLv+L5TfQhlGmNC3E3lzcVPk5+sahdmMKVKHuIMHAqb3yTDVPEsIwXIfYShAxAF87COKCwPo8SbxuouOxkmPFqWa+pcNSTvfciF4LGVTwNuCRaBfMh7cLWFF01OODTGZpMsFdDt/x2h/ucVNfxJ3wVJvVPL2oEeridhCCzgR/IKk0+6dByH/mEqfJPZ2kGNAvHuX03tHk3oebhv3gBkVWtN2Esa7yq+s4c+0VIFTe4OMbQ8pNA8m6qZGYjRncChBpbQkiRRCRNMfsVOIQTRsFvMVFcocsSA6OQ2iSSE+lDXRIIUcyS62KQLnnH3sCrQaxA71qd85fl2BpIMmYRsM8MoWixCxPNuPk3mvtH0zzHIZnXiLWwPzZSp8CTmZn7P0s5SBh5OzsqCCFGck+8+R2Popg+A7SegBKJcDihDfRbgRU2OUFertbDLjAdv4KZQvlEiA1OH4xpj1gshFxPamqOdER15PZq/NRCq0YTcrkSKG5YGIWds5KaLq6l/UEk5YA58YfcC6nAmbfTGfTfd6e1xAuMlORgM8LXZ/sZGWipdJD0oYsHDqDyExoNenyVFYl8yOcgpx2PoHQSxQetR8lq6qtaUmaucpHVNC4LCnQ8CXnpkTOgMluCCBfROCTYsB1FqMpklANv5Rj2f+XbCRSbByS+pudxn5r9+1Os0Y2Eqo3DsnuXmOvuXfQekv+32aJyArjU5tfUqbqzqSYit1S4sRTIxSjKWhgyj4ZKCqyhKqwv5sesgmJAMzNWNQFbDV79OtiPIwrNBYjJvAuBSoZEokpZj2mckQsZ7XnhyySl+QAsxgzrZHI6agwge9cApSjeRCdC7DFzdk9gjN+wKTjthy46clUS1GPo9LajGWqaVLVW7Z5AcOjWqNpKiNezJfzJBdaXmXGVMytXpud4VNLRnTi41y3Qt4LyGkkhhUEJVPk99MLEvBEYGuDSXlH1YTc89hYMnA82rcaLhHxx7L8Dnabu3OHY41YFRtwKapUYJcww1P6q/756DG6KtJglqaZCuxzxnqsvP+Mdf+XnO5mtZpj1ZWdmPF9AN9rBJf1edo+bwfPzSTeHlRbbTWAY5luvcuYkGm3zRWb//pm/BUuZ2cF5AlCOTI82E+vTi/uds1uP724239dtKNGNKriff7YPppNzFSwW0gbyEZrFd+0y/dH5E1zdxtQOLPBANCMD8mJcSJkpJkmr2wIskbe1ns8t8GNrfsaex1a08heUd5L8kc2HjMV0ZT9FxmyB+pScKHbW0oG/M7FHMM8POLIx4kxKToTtmcvF5oNmGqQThZFLE35nX0QXdiUjaly3fKoH3E4GQ/ZDO3bbNabzfreCfx7p769U1gpQXVjiZyRzStFRWqDM1BXFgYTetQcFOftKx+js7iJ3Hpp+eEnyVjxO6Nujz/+/jpYzuKhA6o7kTQmPZpQEcGxF6QWSEWUzMxpOOXgGj7Hcq5CsmcVbIUCgGrZlysCjHI9w9crluzhtxfy7IqFa+VlWLKY0Io9VAeETFffMMXi7iyfcsUNvvlgyFIdTOpkhHPXgJHxmMWe5KznXFG/5O/z8rBaUAoBw9nok7FKNvpSNuxzjUiONoyS2gg/eLyLOEZwASMV4AlZxFNjldgW4BDxSvitLZvEPII06/f5gx8Rnnk11Hp8uLWFj+ATDakGrxvkClMstURz6oGP/KVVb0JSPhonE6Lpbb6uGCFLaKpBuSa0x5IULSchNaTIIRKw4f7q7Dj15+hGJBvZ7UZZ/QXSKOwKL/Yqd4OfBDa9dwz6mXmb/8xoglDQQSKgy84KDPU8LQ9T4dhDxMboUEAuFnwNUwKKW8Vu9wYhp8JYqFRpHoTVSYkCUB62Xan5f/t3m8HlvRdwM7LEVohHVORxdVLcV7VAArY1QFpmqMcSeT97m89+J4rvTSjbjfv7+wajqW6MJnYE3Bj4ZtBUb+TdzE9tY1YcZUhzsGjkFct+3DS5zbaRZr3tRpr1WoWXr1bYxDl5BaBhK4VgjI0avnNCEq0oT8wrM2aKyxltWw0D89p7Wo67wMY30Hqs32fQq9fMajeK5f4Vuzo7fl1Dl8n7S7ncvdBQddTctRsoAbNl3V4JXpJGWUFOz+uHDSptzSrBPvi+NSNoxceUYr4S86lH+Lywb7KUqUa1WyaM0uWltT7jN8hlILL/2LFIBTk7bl8YldVGjo/9UOFe2Sxzx0aUJxUx98VwABMUm8kUCDDac8UYHt/4vsGwuZnmxwCEmp5IK0t6TGlywkWqmd1YBYnAZeLftu0wn6TyfYdMVpZL83iXCpsvY9Np4Hpty2V3z9ieSGeFgdNwJXCyMhFVwiFZSYG2gVoVCL8prAUqJN5hoRGqJUGokGIy4n8FmdkoQv/rl5T1s8S8DDfABY/xdhZ+MdzdeBMgkqKPazWd7CfiGVaVcf5mbaqvIrOsZivZ1YIpp9/uTr1V36tvt+rbze3d7d2D1vabt2/q2/sH27vbB7vN3fr2zl7rYG//zdv9eqvZbJaZWF1I8Bvrwc7QeJ/CoroncsDFk6KiDfaoDlQyqQx3oe3qCWErw0zuVgKij5bmRwsJbnmPCtql8YiLjRrZUAysbjHomgG/Wl0Q5o45IMIgecx99GRxJ3PfLqUi6fBvWEwBEYo8Qzpou3xPUxLJJGERAADZT6+gq5gdGMreJjIjfS5ifB29ckjkILVawXefcXNDWTBm49k3tS+lFlKzQzKD/hGdYAFp0q9jczXrxtnnLOZX4yeEj7AfIkpi4yeSJwB7QeAXDP8WS9F+yWeauMQhKGWN5AiSRBSRmR5IhFPA4oEagRw0NCWTidsRH+Q9g9JO7RqopBgTmofeUWacVakNz0b3GYXm1sSY1ugBSqmn5MR0nhtqM2ALK485b4WtZbu+2XRQvOPJm76kuWByks1iGDXgoe2KErPDhnLzhRZS+azEadosahsiXFiuXHImfr2Rb8Aydflaf4U8M2hpER3N6jHq7CZ5krIXnOvVtlcBWJIKV6EuGZH7TVl830EvTLt+ASwI+XJ5mhe1ubuGV3x8t3uI4V1F/uDju/3/gl9fYxKYYphN54cFvIRXmBaWzuoH9Ga7sb3faDa2D/d2d+aGZGbijispRmyuXuwLyfQ0T6/CCiw/oxVzqGt5SlQmRBGqx0ZVABbLPagyASrII2GFA6fklYXkw5sxTQdcDGrkc7sWHMd3LJHjERT+MB01XtdK9Bnf3fcGw3Rbc9RSB+DiqMojDvYty8G60E72StOosaCGMQ3i3oa7YPLyEucszb264yEbMUWTChvZnbg5SqZd8Ma84n2AwmEPPDXbd+p14TERxlZNkonF4UxdszXFAFgvxU52N07AxgiOJUuN9i9L6i3d7e81m/2CMCqxamf08fOZ8rCN8y1x2p/e6ZEcjRVPA9Nf9hH0QciY2eyLAsu5XvFbBgwHCNzELJ0hWPuVUhO+kBiLRDWit+Zc12Qs05T3ECzO2yl5KMrYK2Yjj5hWPELbBYCOpqyXInSCMZwgYBxlCVVArx+SjbiGxM7cYPR/O5faJhhzxHgQDI/slLH8C/ZNKpABsWxZEHv+/gepzFg5jM4s1eTGfM96VsbRgl+N9MHMpjOCqPHOG7bHen3WpGw/2j14sx332EG/2XqzS1v7O296vbfbu2/6+4X9WFHOQiEm4TYbZoA/eWoV6+KCXerfTLDzASDD7heaJPIel9/3ew82s1d6IFWVQU29j4cD2kLRS0ZLweXlOz0L9535GyJ8mD88IazpQlPg4CShqeaRRaAovEXOYQ4j53jRmKXaJyuTICj8jlGdzhoEQ6tWCUMHyrFH8/OPmoW8yV17RFPpmxcD72aC/p0zgvMhH3X7uhU3kYxZpflobjdRvyVgyik9E+wEfS9RF4UHZHhsC5tG7v8Gr2lQehjiW0J6FRjaCPNRCxbBse7VYp5O1nNdR/2g9jjxlDmoFzfafHtpSiUHJJR31BQB5llc86AOrbhR7R5sGBLM9OkMA8kcemJzMw8rAKS1tdvhFg+Y87PVpm71pHJEWiCMEHw7j2RIeKO5GGQ8HfpVy19KeKXNeUGyceGot+ecTA2pJAw4WVxDKxcBVjDkLXiVULatZu6aXMG43fOa1FEreBlbpkZUYPFSymaYCW6+etP+0ypqaOvJrX2O1focVqxr1+NHdj3cIq89kOeIa+2jrH2Ul+CjzL9j117M2otZ2It5xjZb+zlrP2ft56zWz5n/9UsDkNmVlggicjGB8aekMTdApaWxIpxwuCZ2OELPPo3gi1PtrdAun3EHXLBXvKVQuIREToJJTtwin/ZxEKn8GFSxKeqm3/JHFPy9s+BuCrr75iu6/ZkLNhPHZjVr9kux5ZpbMndvP4c3bTW9liSR8pZQczQiLibTeG06dWMfdHnzZ0hZXjuN7cbc7Qb/vrfOp7fgbfE6ArLaCIgV6zoC8iNHQNwiryMgzxHXOgKyjoB8JxEQu2PXEZB1BKTKCIjbZusIyDoCso6AfPMIiH39XnQExNK4joB8LxEQu2DrCMjX5LTe0S9hRz+JPP0P2a8+KJdHiFy5Uf7JE9VG+JQr1HHtfUqQxyRlWGfSD1CrHeTvFgKuBAUeaaF5UIBBbDYGLcIi1yxeSwhkDrC21kwIwVCQqgIRIUR03ssuZCrAWf4KwnKIZ2NhlnOeHgMSDmaJpEh5DKgORmbGtUi4YGFTXETLtaP2HAQx1BSLIt/pYxM6MRSF6fZ6iJh9GtS6YejJj+1iDhbywiFJIga0q2ryDguU0WFTtdnPOSl4LhE2zov7+8JTtnJf4ymv8ZTXeMp/K54yvomuZXmuBP9GUGUkaQ2qvAZVXoMqr0GV16DKa1DlNajyGlR5Dao8L6gy2k8vBFQZiFmDKr8YUGW7O74CJmy0MkQg8uNPepzhmYDCQa8vohWFGJsYvHiA5UfF0VhSHi8QYHl+V+8boixb/UBeEspy6ICuUZbXKMtrlOU1yvIaZXmNsrxGWV6jLK+MiDXK8hpleY2yvEZZXqMsr1GWZ9D5QlCW9VAxilK2WU9X+SePZz1tvMdsFfOaJjRNeX/iCkGgGCthyvwYRRIb7xvDys5FNH2QQo4m15bCa28UGYY/nl5dnpD21dX/Ovr39UP7hPQVHTFjUzWuRSkxymgDw2+BknxgSwfm+XgvhysbAnAxsdPjTo2c//z+V1uz5vK7KYnkaGS0tCW5kQ8N8WVgqKFppHnU+CkkbMSogMbuLiFM21iENYpd63Ui+/mY2o9pCbve4KMxjfT1xutGYUYWDUEhPD1pPjKmotxyAVEOsHFpNPQ4yb2Ju6bSmIeH89Rg3aJIjsYJT+HOJh9yIGniyWQihhtGEjNhtKfx0zDxzpC+8T/IkqlLTCgeDaEKcY73ERGyZ7516AkYGeT3UVzExqWWKiWy998s0qmdz4WObZYdFXHB+A8AlSFy7YbkUmzlBM+d7B3w2PAkzcEt0jyL20/wlyAN8BGuZ3C7HNWNf1JS0zJCeulZUMslOi0sGWeJRVXZuxt5/fR116i17h0TsVR1wTKt4M7aUXDdVQDKft3NUvhPoAWNHjyXgm2dyfutjyzm2WjrAx8Mr7tpRJM85ZEL0h5DZuADabujvXN1+hvZbrTCEy4Y9xckyGc15xQRGNw3BaBxzGJzfEZZquXI5d1ei5OHMWjzcNQ7e7+u2OG1IOQnyCzouAo395Fg+NOZvMcfkDf82TC4Mb3y+MByqx6sUEXLfuzSMPCotYUCmOxrBBxnkbtbzA/baVZPL8hDA/4PktexcQDknyT8jimnRttikDBFTv69pCqF0EXFSA0BmoA30zwF9nq0EEIhr7jKuz74/SX71o/nUrwuCW485Onw/0zH/xcWTJ8nrEHhhpbN48HHeaFX0fk8g+sNY3RDIJ0niEnhhp5ZDC2kBovSPI3nS0puGRsTrWh0i7vKfB3GbXzFGJ+PU20LeKuD63AuCYggny8QQNt/aK8K8qya3oT4CAb5wBTb3EyhjFHU2cOQZimEZpz5hXooMKeM/aQYYVZnYX62S/o5JFRFQ37Hali1D+tSy2NGNcJEpCZjzeI86M8eWJRpViNDHsdM1IhiNMZ/m2OuZu2CGrlXXM8oENn8Y8M9axwsfPqrjtVcaxnJmHVTPhDUmOmNmA9Yqrs0GUjF9XBU1QLDfShNwdLzk/lSJ0MPhtCVjCBM6kU5FZAPC0s9F1Dqanwm2D08JTabwl/hQD5/HkCZBKXF5kkFIBQ2pp8DkKBscnLL65QO6fbe3GWf868K4ml8JQjSkzJhVMwS9zv8U+gEcqhIcjMYIdmElrKHb9yhCraa+YmLQYWYJWaTBWGqeXdX0LKngJER4LpALXCfRoYRTL4hqezre6M30HxrBGMyV8yfEsUSdmdd4/bY7MWfPnWgdGzW/cuoYeZkjYdx1Bgr+TCpYBU01VmVsEvc/DgdxfSlaBFTtnKJESRl9mr0M7zDSuRgANnoRsXKgaLjIY8IU8o4jz6bMxz1jiY8DrNrpTIOfqrdfOSM0TtGMhHUk/VdnhZ8Nf+KyyfPx/fDmnM6E9GQRbez8BlOLi8/XXa/nF9dfulcnRx3Lz99uqpgNTPws6vKq+zg8AX4D8h0RbVZssR5pKR5L8iRVGOp6LMay8zNtGZ0VLEWMVOsUpXAeFJZXWHLQ50CsThQQe8vP+gzNcjJ5w+//f7249v2LxVI3Zyhmo7myRh8zN49Ni8oFTGavPe+ItFtKTybzJs1YIJhpiPUKcJ5Xj6ptpvbrXrT/O+qtX3Yah7uNH+v4OQCXTCXof/EmbzZ0VI59y/QRzN0DImGxXyXX4xiwv5s+dcf+55zzjF2CoGrGgp9yHMjqJCJ4nq25RrR2EhSJharg9oOewTUHVpPqEzLpmtF1gPo5iVXYLZZhFfAA65pUjSQjEcNGVF0QLlIg7DVkJEeF8b1gEBsAbVq5ulCC8v0laNjdSI03vRyDup7Y1HDOOYcB49yXp8UimBxixa+vxLOzEgrdrxzr9OCI1AssYEy+dmuuAO1s3FhGMbuCHRPs7GhgNyMzFQ3FhuLm/eSpeQGuAjgFMw3IKr236Bv3KUcOCrm0RpJuYj8cJCkIHK6fT6ekdAqpByzAFJi9QExi8aATTODNOKQjZLHFdNVMOa896p481kgOQaT803tXUKDnPr6bpvniZpIhVEtrM6sWf82r0wqyWVrKEdsiyb5ei0lH0NEFydfVkQzX79jBREZZhECH5XRVV58xVM8ppw9lNv3gvzKRSzv06laEIwa5DX0vl4Dj0Ojs0LJRzKZVcK25H0CyJMl/QaEkTQDF7KibfeRRkOArAimcm/Tydn72W/Uw9v9+v7c6DlfYbI30awrVbz8tnmExXcT4ziyPzO4jZD9x/k641onjJyImNNVOCGGvWicdcv4QStj7ujiSwFC6FHeToVmyap4sodzNy6hkT3rSD150IpC/BSUlUcS9UUiZsbN1B+sDXKKxNjwXe7zaDCQehlPNCLOjcY8sRozcji8PUb69BYt1RFNwJECVqRKl7z28KJhD2Op5rr27ydUayZm3/yf2cAzDsdiwhIGcMQYxwbTfDJmKyN7yGjMVIP2eHcmutLK9usUwJLZru0gZvYOTWS4x+7TiJFX7Xenr1fMJWTeVMTfB5gCk3seeydXxEbQ+n3lxoixYjU172LAg513tVwwodUkrPdfWYGdXYp8gorXAzNbKn5/NjeaD60NRFHGFuyJ5yddiQUfcpR2aY9XxMnXX3u3XmdcZA/kU2fF61XhqWy33lMH84qY+ObaerVKgI9WelzicNUfl6mtLZ6D7sez+zbbglC4xA5T3oTNkMNyHBoNiZ2svJEKnsstm9jIW+692Os6ix6WMp8wGAKc9SYkzXp1zMPxQ0JBoGBUD8lNyHHjp5uVaRk/ZjTk24tp/0LaXtEwHvJ6+mdmg+U92uMJ15McWbyA8hiFhccrY8ucPHI8T8DgWZx1hlQIKYgdnkQ0ibLE1hv48uqKeOondFCV7WR2dsdudnijYbKVs1BhYUqJgzDvcGUMOBCeruz3U1ZV05YSLzhbddyk/K951uU5GHMlHjx+kZls5axUaFGUOEGw3hUzcMeVzmjSnT9/71kWeYkJO1+x1LECfhbfWgsws9qtNVi+jGB+QwMm+7sNDeR4tYaGHfMZdtuiL6kVqpOl34qrZqViXTPFxkq1zZAqFncT3lNU8coSRJ1PgNMRP12xhijndVXsaZb0Kyw+dcOTdDLqyQTrT80rvFIH01BbZRQD7oj9LDXCHqIki12yQsIo/BzL2b2dfBYIXP5AplEBfsMPnJJXLoFbU9UY/PW6BjdCfkyPigB4+F6f2av+mLzaGPy1UYN7nw0cYWNG/71xcEIsLvS+VLcrruqfOgbMPrmFK+A85w77HE7BHdLgVt6/Hl5onwSGZGpBr0I/tE97gqv86YlKo/tB7SykbW/WERXbLCvVZkPYNYJpXF06DGnhW/CCLp/PD2y+gdUnkCJb5OP86n2nhpoAbsZpIgcyg9t5Kkg7AbQtzTAg2tGK0RF51T7uvHbpMcwtuR8Vwf7xUSz/dleU/52l2nhrCYvJ/zxuX7Ub5HcpWOM0TxrDRm8juLUsNMjpTdyNJWQOQNq+TRtISSzvRSJp7BD3C6VgpC1I+7gDF+YODyyXur03l2p0SG6ODq/HVA+vtbw2NIPz4t+lw1SOWNdv0huUwM3Up35kez+PF6qhueCSXMhN/q0GuSlP6Nos+SGDb5r3JaSi9KXph/MHIGcu3x1ZkkB/zZp90Px8U8PEivCqFzZegMwQvP7hIgYu++KaYFBZpuKF4iOqJhbR4fSYvPr59Pj1k+kTm61ms7UKSyyvpa2arzD3dCZPq0p6MIdvYxTvVcTVx+M9ON9XcaTDOOmQtiqitfOh3Vo5sXmlRAXkbu/tr5zgvdY8gcwFCd5rba+Y4DRmrKpXstM5Pjm5WBnBXJSwiVdXUChKUPZ5alFuadrC7ZKC3N7b33m7swoVOeIjVmW2yMfTjyd4K+XSyMKMc4t/GyhOIpUzZWS/EGYjBOqLyVDrcXq4tXV/f9/gVNCGVIMtmqZ8gF2Yt0Ys5rQOty/hz42HoR4lf5y2fUsAY4z0ecRpgnc1/1WzWV4uLaRBfjV2/whTRKkAexCY4akrvOlZQDc/5kimOu+1FLLuMHFWsWzVbc2PABLeL+xHGWma5Nt1NmrqZnN/t7mSPblk3uyMtFmf72qcNhlju9IVkPqNIKfsOoQea+DKGhfHlS75pNHS8ji3dDWuo7wXlaXPgasOE2yCd6dmYimsyqIy5vfqGFk9qsR75y+ECdy1qd3gwxIzMnYLoYc4yGl9Xsbu1mo30Jh9i2TTo4svxURTbEDp/fnZyaYryTQdQwn/mIqq8rdPPTI3TlNyQmquIS0k6dsMxTqWR0yxXFVR3Jh9A9QKL4ipDicLyOGChm1gluLb/Lfi1CzP+F0xa+aZTO83dhoH+81mo/Vmt7W3Gu75aFwlHmIbo9CWX5vTA4CH5OIE32rSFsRSQep1AIqGx0hAFzF/mepo2udiwNRYcaGxfgqgj+6MouxrpohiKEzb1tB1lIxkzOrAZ65vFRWpry9OsY+1jKJMKRbXLOYYtifFGh1raSrqQ5hAPWJBFKu3lDVLqS4YxH2uGJuA5tnqJXKwhWAldWO3GT24td1s7W41W1sQz+NiULdpyXUUTt3CHzSMrTyjV0O0/7a5E+2yg+3tlvkhjujewf4OpfHOfhz3V7N3XJphF16hCk0s//4sozk7F+3T86vGyW8nq+HeFtpWzbKdZhnWN/ypAUCENloMP38aM0SFIh2EBVmBbJ5/pT7jBsgMYvQEeJaFyHxQtYN2EUZnzaBQxLZhfp0BSN3a33m7CnsBLZPuSzdHr9CAAoPUWFHpZJRwcbuS6+YK4xCw+OCMv8JdHnMF3QMs/WU0JvPYCnjKKousXzn48dNj8uoLBNUVSVmUKa4nIS7Aq85UxB2dq+ri7g97zYMGtVdZ/A51eOW37hYGIpjXJuO+6rTPXzfQoYZAjwdkmgWZQTM9lCBCgDUOKqJh+/QynV+YOWTkvAkVS2vk+LxDQo4JeWUbrMURVXFqr/IKgGF5pnC+HD81bEfyRiRXtiw8TTOmGshClYerWxcLEQvnzKujc9iIhggATAmk6+VeEoRtCw8RdEDXI+00zRQVESMdbA59NHebz7nlA83uKpcNdtd7dfQaDMh0mvUvnRXzFUBTsbjK5T8OJ7Krf7zI6h/960unRj79y+2CUxHVyKcv/4LGKTlWXo0cnf/riZ3i38Wqdgy0q8whfaraMm4ap9vOXpcsUrOpjFb6hbP7FTMZ4rFWzGg4VUpefVpCcZyKqEI50KSbCV6VwT5LHDQhZkYjlS8LiGXqzVmxaFJNoby6C35EdRC1/tw38xnTx83nT/2rGumAjXdRekeOaML7Ugm+CqAG4F5I3YUAwRzsPnZxccVH4NFjZGAaN4enREhwbyDcIFIeQ+MpAJ0pLfJ2c7tZb76pt/ZJc+ewtXe4c/D/NZuHzbkbtc7DcI/15Vyx24U57nOV6nm4bR3Um2+B29bhbvNwe2+13GJPpO4tm1QOQ9kuIU86nKmwgdMtK7/Yl52VHWoBv1Gm7qp6iY0PA+MHObKMsCQxD0T2TznHAcwloG74Q52nAWCnu3wtyUfwVI/3tlsVCIk9jKVgzy0pnsImwCH8sscMLmumFt1juM3B8P7e3s4btyAiZg9TjUFk1MXg4nTDkNUJZsmoDTQl5H/5EFWwF9IxjTCWw3XZe9pu7r5dFTspU5wm3bkR+5doYINTOSx+OFL9azH7dIdmT6AgU81ENMkBfl1zdcyIhB0zHlKRQbvmGuFhPQWGqV06rgQnNzGGl/FUPSaNHzoaUsDRUGXB7+29f/fu4OjN8cm7982Dt82D49b20VF7ZZrJo59VrohPi32pCqigHoIt0Ei/MrwcGDEjszTshYcmSV9mApCbf5bkjIoBOQLAUFspMGmQDmM+nD/gepj1IJI/kAkVg62B3Oolsrc1kK1Ga3crVdEWIo5uGcHAvxoD+R9nOztv6mc7ezvltkeQglZf4TFhgy5/Tzgh9fEER8Y0w1iJ0RgkskcTb/MKtoorvin+/45wQXXRAsfXSwgXlBB5baDPvJyPxgs6V//KbfwaOftXhwryXlER8TSSQTyhZrzDBkQPvtlueTGhgoJQVs3l3x0reEwpFBa+SqZfQGBgSgYrY/Mf6uTbPItqLcEAAsVMak2z0jbeWZYplepuytg87+aj7juWRE3DJXOhjQs3wGY8tloLHHnswscALHmoi92CjVfjyZvmdhPiGa1Wvbl31XpzuL13uPum0WwujaQ8YLIRcT2pCpz8yOnfcuKAFFoxuiRCHtAvhebGc+xGpbTglTBxdS/rFgYzKuWt+9k309mMni9pbRZZrGidzgvg8XayMitS6SFpgwO1pFJBrsCe6/JUVrV0R9ZkPO18grUrm0srWR3ko6p3yPIwc3cdUUGXhds1PACaa8lSKdE/YLIbYscVTyspBlxnMerDhGr4pazL/i/ZSKTYOCT1NzuN/dbu251mjWwkVG8ckt29xl5z76D1lvy/Fai2Kot7v6RM1R3UwlTqJSVOnjUHEI19PWWfDBQVWUJV2P5CD9mERNT40z2ZhSWzRy5CYcYIkpW4wrrXiAnNVIpN9fuJlMoGT2o+/hG7rmZ+UCQvycFZ0Jeokciby8Uy8LyQFaNzXEAjxREUMA+YdNyW04N6MtVS1OMlb6DMYo5lqmlSlabYvIDhUcNPl2fDAjoeC5D/0C0vzyC3mdUeEHlEJx4K9VbIewHd0ohhBSaSivx+ehF6s4TYZAnbN+uexyyZYJmxc4Ch+zX8WBb4wW5zd8mwvxG2YgNj6VWomi9hhqc0c/3zkrjOASMV6WbLxEzV/DljPbaCfW8My7+kqMSyce2kzfju/M9Vl2u8fNo+bwfPzeTWWgVbbTUAy4huvcuYkGm3zVWAFbWQFPg8JZP+oWe3LszTl4p9C4ns+5fyib6FrcZ2Y6exZA5kQr+pOwIQHC/OGxlRdcvFoKGTqmpkN64U7fd5RM4My+RCSS0jmUCk1FjzloK0QS5dKBsvXfOuqGG7VPIT+fXD6dUJdj79+fLk5Bx/bH98d3KJP16eHJfaof465HrJ2yZXxtel80RYVrVl3Kxh5zAvD3/2ffudYzbyHGJ47Jrt61oCUE98j+gFtMTu7pIRC5uXXlXY5apoX+bsb6YuJb68nIn6q5upZEizJTW8YtDPsbJA2qUbn3y5PCMJF7dQOihDvJxZzfCe3MzuqsqWqQc5RVv+S1vNZrO1vbPk6WCMmNSYewDKH5aFr9yt+eRArmEWaH6qmUAzuEdTtr9LmIhkbPR0bgm/l8rD5ThiicQqCCnS3JToMA1W88kDqJxLNvicMTWxn9WK/a8iCe+ZFLFv32MRiIyCgovhm2TcNZ/d5IkBcmwXtJdpt3WDxqIYyFEskndMOZRaaGCWo+v5tlBGpV2e/Nx9d3revvxP5NwfCDOAaT6/y9pHzfYvn99dtdvtNvyO//xrlTsAQRK/1nzUZVzPXOcjVxJu9L1ZZfNC4LgOutnL7MLLAw0mxDac9U1YHrtUnmTYHSkXgyR3cuzzfq9gYvorI+vO7zWQ+clvF+3z427n99cWMCpfoJwGrvNiNoAUg3HtlLYFSYohdJgQ9rEZ/eOXs6tTmAvGdsNBdyc/4h1VHED5EyYGeojD2gwC4DXf2GbM418/XR7jvj75ufvZ/FYgPdiEwR7zHmbMIj4qAQ2QV6wxIDcbrY2bGUhom39sHB1eK02vFYu7Wo+ve1xcjyZ0PG6wB7Z0P+LivitXqKymhaWmIqYqLm4HxMm0usZjb00LAHfMipgc8ulUr5Xw1+71FLvDeAKcsa7+2sxXOlY+/Pvs44r4uWWTCtj5wO9YXbEEi0ygFEr2Aaa0nHLx6f3Vr+3Lk+u8Vs4dE+dX10eZUkxoe+NzfTqiA4alSifQnNvs/k8waXp9z4Uh1GzqFQmnXGq2Eum8zwHOcpACbE4OKXzCHh+zlv16aXl5FTNDbtfHrJcNBssipnkBhmxUdRmByVvWCiltr9UwlEZUCKa6qaZzAf8+5kVAoN4Q3v5l6+T40jaSddi9GTT872dJMiEx09jGfkQTHnGZpWG9HbRD/nJ5VvYhluTTuvnL8HiOHpBZHT6CTqmhiQwAM7KXMnXHYqOy4yyy6E7gU0GP0llZK9tLhiwrLJ3cuLJNRQoOoT+j0Qw9mhipfALOwWDggnSuTn8j241mI4wYlMMKhxgmoJmWQo5kltbRn7AfK837NNL4m4e3KYUhYjmiXNSNjPBRKK+r0zhW+LvZX/gTH9/tBn/g47t9++vUmCMaBc+NMs0e8EfjC9ufsMUy/uKaJeNvmUquBQmH/AnqNes0guA1PnWP2q3ulEr9lk3wLw97zYN6kPhUCqJ4PpbbOplKGii9qlyqYxjdabRMJbnVuAHFKL7McSMwuk8FSeWIkYimEJYwjuuITgi4yhYv9fTCnCdbUmF4ArdHMskxkSgpsEYcSI7AFxcbLQJ6aR4DRUiGgXR2/A0OcYNXGiGFyJAhzFaCGjoTrpmiCTm9uNv3YzIRJdKmuN/8cYMYov91Q16dnly9J5fvj/yg2292tl8jTeGDecatcwPctYqHDrbAcY7cPCwFZJcs56Lkl99DlUM4+87jubR9RbOfPMej9d2qlHGDgs7IsAHnwX++Ko/uGnymTBPeJ1wjxm9aM5tZSE3YHVMTMwUiCU99f2pwN+2YKS5jMspS7FLcc2hfLEaXi7mctdwkgId7jGyMxWAjT/oG4OiG+eyfAWRtdl5fUQCNr2rjXSDgc6DALBYMvG7/cROoMy3HG1OLfPMfN1i7pcmYqhzt0BK9bM8BEECWJHMwPxUPWT04xGkf4Y2/XJ5hJwZElaFCG106kZkyJ2CudSfBxgH47jxCwAW5cazdAFIZwOzoQq9dxSIpUq0ysCUhPTBsCwGwPTkbGMd/NIpZ1IeHu7s7Wwia87///Jf9HH//Dy3Hy6+ZU08vYd02vwh/seHVJmzzlKQM7kNyeXo5zlAvXBDB9L1Ut2QkBddScTFAreWtYneO95hRj3a7WOhNmoYbgILHQBI5sPkd5qtGA/c1EwhuHpqheE1B9bDwAob7ZcTsVvRf88PS1PV0dYTWAP0mYZh4KqQua6+Fto4Z7ZE/L7+rxjRNAwW3ctRrO7xTYvZoXTK/GAmfC/fmqZDuhQ3EBIQFmtmKfGMVtD77su3rzX3MGfMo8bu75WKepe/TDCd/ZqyyqhWw12AC+wL6PCxgEv9io9KzGPfvsFm9qReldMb+bzhj0agLmxKEszTM+USL5rqQ5rugXVQefsBS64D2hrX1FdbRwXy9TPunasFkyCyahX5EbEMhCBuNdU4PkI5P3thvT6HRxbwPF3cakqt6TN+zoAu1mVTfS3SRVmFIoBfKFIu71bqEVxD8HQwZ6HA3KZw5OHENhDQeM69r0qyHf5q6divYxsFY+DCEmjf6UobXkxsA6BV+MH1koI1tFyNmmqkR5DmOFYt4ypKJayyS8FSThN8W6nTTrN/nD35EeOaVOSwOt7bwEXyiIdXgdYNcqYm7jR2PlXzgIyz25im0sOKjcTIhmt4WM1Ss+W3WP6E9lqR4e2PsTDiA71mSAPdXZ8dprgcj2chuZ+CYrQwRwuyjNBqy6jJPOzD646oejuVp/wdv+G8OZxrjSO8jB/wKxOG2bpWvk5/ENajBRFwMuP6Z0QTtO/sMuH7WyQwSY5PEiQQLbNhDxMZoJQ2lbS+JHdSmXjerLxoQt6EgXF5o/DJNARTtcJwLlSf83fZn9tnC4CoZIxFmjqgQMjdwC+9mLZBAHo6ZZqjHEnk/W1XM1itF3RPKFmNXNNWN0cSOgC8Xaheaam9s+FiRHaXgcwOvqS3X8trPbeY0622bDdQqKLBaQRHk5OHhY70qB0+Wj7GBkTFzbmlFeZIHH2YoBJouWflotr6W4y4w+A0OFNbv25QkY2bjFrJyecWuzo5f1zBo5hOR8xXJnURQzDXXTQhUbKgpgtdnRmhmet48Bpc/adYPdsj3fe7AmfPYkZOvxHyHD3y+/GZzYPEVbbIvdvjVej9rtMSXhpa4BkqcUzQ/BEbiGh6xAnjEHx0ZcQ2KuMZD/KpU/lEoCf8kFMR/DADiPwj7cA17+Dz5rBEPyzL5fsEO1ziHLwPncA1x+DIgDv/B6IY/ILDhGtOwyj3yYvz7FcIZ/tOQDH98EMN/Ln7hjwFdCGmMLG5QLUc8qtoewts/nCsofEETE1IdLT0eS4qJO66kGIUZp0zEUKoNCYQ2LxJyKEsi6dG47u+QFwpBOfnAw99GPHjZbI+zkqxmSSmQjJfWM6QESJzQ3z8d0u29/WXkVFlftikhdXlcgpQwfmhmeTeU+abes7nuH+xQxvbqb/dpq75L91v1XpPt15tRHO20duJmq7dQ11YvCeMnfythmLmWlQdPWI9RXX/baDaa9e3mdqvR3Gts79SbzWaztVCcw8miwjq6KVFoW1UHM+PLElEMhPhMaw0FPkhnkBvvC+YH/A6Ss60YpwXl/9DFHHCVzd/SsK/oiJlXsSJphDWutjjST5n34s0UNtelmhkf9C/E6YkSmqa8X6xF0TTSPEIcHxYNMczgL+ot0BPO1DBWop3KjsWjIpSPzcDwvVB7rmYVsB6gPjGtEWbOA8SF0ISLAUs1lIXCga6YVtKB5ISFM3QwQPZgkcuRhY+nV5cnpH119b+O/l1Yk4GS2bhBE06rSg/YuDKa3EzwiqXeU4F5IUBAofBJ9glUv0PNmVYZnPmutDUseIRdTbGncXSLYqSFi25bWODbVpq/Getv0rgWvw6hRknqcEjF/sw49E+eyAyWKUsZoQWhQQtaJNrz0iiVT27+QTY+0gGLqNLkZ3h6f4PMjxeBq1HZMQJLkZ8dz1oDEHwoteXXIBd8OO5ca8DjsvB/bjZ9nHZOSVfoqW9Mgz99xzseMtNK8n5/ej63tYTirhqRCmSuCrBUzxB+YXOHu35x4edDztj088m+wE55EVzck2pNo9vGiGvFjLO9Bd9Ot+Cl2Jp3mXIHj6aNud26x+4ebFzeBuRpAiCYeEyBde+r8+3ph8UL+cdeePhnjxTX7py/Nv78nxlLgq7EKWE0GnpzX+K6YHdyVjb5Wnut/YOFBBNGFlasQlZfh/cpIHY2yujPUg4SRs7O5kaGzaURSdE3C1DdK52buNddPWTXXUQAqQuWaQXYwo6C6y72h7/uwi0CPh680+dSsK0zeb/1kcU8G2194IPhdTeNaMKIw5zmgrTHYyZi/kDaTnlY0IlWbk0W4Cd+QYLc/WFAEYHBU1+aGMdYUhhlqZYj9HXTxrU4eRgDdEk4agEfk5CfADK6g3Ow2H0kLDDEmbzHH5A3/NkwWFIY+MDzVzpYlYqW+rhQy+V8GQrYjw73JL/Rs2b3NHunF+ShAf9XxE2JWcLvmHJeYFsMEqbIyb/njgDmkoC00YZNG63esXsUYreQvlrEz/T7SPafws8cD3k6/D8L5ClNNTLBolo2j9n6WNLK5hm1jk4OJWAW0A09szTYHKc0SeBp60CRW8bGeFjj7oFyXzPu/LVs09xprXgvqxAfsg1AebKPbOfzBUy3/Yc2zJujmfcmZJxQ3Zdq1CAfmGKbm2bXCCnq7GFIsxQysRMbNka9Eri51r5hVgehPeMqnA8JVRECbUVyNIZE6biWY+bUCBNwm8ri/PKcAXAWq5Ehj2MmakQxGuO/zVFVs+d5DSCoZlRIbf6x4Z7dqJENfPoZqHtT6xfJmHX91XMj5sanrvwaHMsRaQqBJ1rKQTL0YEIGov08XrQR3C3mF+gpom5YLBCewl9YnBcAAZKUH9LqzNTYq/CkgjR6W/fhC0IJyia4nS+tzfOCpE+vRKGe9TGws56UCaNilojf4Z8Auh8hQgjvGwPfpxnw1ME3lJP7tcrYiraU+YmLQbcyx30THXefWDHvLuKpf9R+GzcCHY8TVxY3oiLr0wgRVsC7cZhTFmytEYzJQqCMhN1Z7IP22Oy5nz51AM9lVi3OqGHmZI2HcdQYK/kwWZHkNdVZdXr5aSDjqft2IGX2CvQzrGFK5GAAScSQgDJQdDzkEWFKSZXmIdhwVEjNDNuaSEWMv6rdfOSM0TtGMpGDn3IP8wdfzb9SzhLww5qzNhPRkBknt7yAJ5eXny67X86vLr90rk6Ou5efPl2taAXx+rSqZhIdmwUhCs2YYqcGS9axg4gkR1KNpQojuEsyqhkdVawhzBSrVBMwnlRWD2Dtr1cOYyWNRd7ItYIf9Jna4eTzh99+f/vxbfuXFUnanH2ajuZpePCYPXpcBvAvbB08X8xb47KJYwS8hnN4JkZ/q940/7tqbR+2moc7z8Dn/wq75t2ey/h+4izd7GipnOsV6JdZmUXRsFjZ/ItRNFQ73+oxXYPfc84wAOHA5zFW4xVQygs1x1DpV4B3NvaMlImFAaX2OoSA+kJLB5Vj2bRc4akP+nVJqc82YaAomA+4pknRmDEeLNS70wHlIsCfM9/ocWHcAQvqHKzPzBOCFpbmK+p/ObEZ73U55xDweGEcc/6CNzevPwgYYLgVC99fmBvz7RU7urnHZ7TtiGmKfciGVAwecX3xbx7CH4aJHPy8cQ2zMfQguRmZqTySv3nnWEpugIscztFitBMa/zfoEtdgDRwGvH1MIcXIDgcZ0SKn26MqGAktKtmY3fHK4ojHMLhFFEM1Z3uwhKSXvJ352wBOM+M85Kr4ceMjyFm+CXhKbJy9QU59mrpF5UDNosIIETbhrFl/Mu+6VpLF1lCO2BZN8jV6tkzMxF2ccFmxzHy1jqHUw7YVfUIuRQQ3OF6cvZLb2cI135jChULPPE//9xn+eIwZHRRKG2oByhp1gVg7yJAl/QaEZDQDl62i7fWRRkMuGAmncm/Kydn72W/Lw9v9+v7ceNozGOtNIIOyuoY87ybGUbMtLAw/j/JyxrVOGDkRMaeLOgCGpWicdStMADq6+OIj5U+uzanQbO6+wLP4sIdnNzjXFjn+Th40VL/EqHDGMk15L2E5upqZcTP1h2CDnCIxNuSV+xiIrNjLeAJZfsae5InVepE5nCyWcZ/aa9sRTcBxAVZkXn6ziDjYw1iquYDt+wnVmgn/6cxcXhyOxYQlDHLWMMYLZjH2jVmc1CGjMVMN2uNdm7Bb0V4MMnXdVmwHcaZ3aJ7CfWyfRoy8ar87fb0CziDdqiKePsAUmNH12Du2BOlmh1dlIEDXIMDND+i28y5PORNaTcKuxStDrbQizyeoQO4SY07Vvg+bG82H1gbE/TwAruPhGciKT3CRdmmPV0T9119dty5nXGQP5FNnBetS4Ulpt9VTh+UShH9zzbr8i4w42is7wnC4ao6wFC+w56FVsCAWNhXNdw3OLGgUXMwJgroAIcZoNCR2svImKXgBt2zimtDkLe4KSOEps0MjbLnLMOlNSJr16pj74YcE+EPBqB6Sm5Djxk83S2kKP0405NuLaepCGljR+BzyevpnZoPBPdf3L+YphgUCKVo6VrEJ4OiR43kc62dx0xlSIaQgdngS0STKElSA3jpdJR/9hM7VNmgRjWF2bcduZHhDYbKVkF1hzmyJ6jBfbSmiXVf+ruz3U1ZV6WGJfpxttRw8HxDC7f2wx+nTdLvJADpiJeRXeLKXqDdDrYToO650RpPu/Llez7J0S4Tb+VxO10p5WHzbLMDA8tsG+ph8qwMfJvu7D3zkePkD347zDJtp0ZfOCtLJz2+5VZBfsb6YIn1pjQGQCF1EJOHVI63CdMRPF0A+8TTgbxmWNEv6Q5rO00BjEVbc8CSdjHoSOlsN4ZVc2imrumXY+0L3rfm6fv0QzbKmBN2X6rZKqJPNttkPt3DVmOdhwcUoTVMZ8bzRMw1ufP3W94L6JDBEUSOUKGZv/dzQPkUGromnJyqN7ge1s5C2vcFN7ukkxf5s2mwCuy4wjetMbPusA9g7Xhbl8/mBzTewYgDSI4t8nF+979ju13ADSxM5kFlqOxe2LfAyw+BfRytGR+RV+7jz2qVYMLfMflQgKsVHsT7KXZdBM6SIJgmLyf88bl+1G+R3KVgjAHjiaQ7FnKVBOXFv4lvXa2nTsV23aRLLe5FIWmiq4st0SFuQ9nEHLmknY2OEBnve3dVKNTokN0eH12Oqh9daXhuawVnw789hKkes6zfpDUrgZupTP7K9Ew7AGOwr5ZImyE3+rQa5KU94M92QPPimeV9CKkpfmn44fwDyq/LdkTdCxgfNzzc1vMAPrx1h4wGB5Yb6wSLO3+Z36u0fVJbJdqH4iKqJLX87PSavfj49fv3kNf1mq9lsLWo1wTzfhJcwB3EmH8tcrgOExSjeq4iTj8d7cEYveiw7hI1WRfR1PrRbKyEwz26vgMTtvf2VELnXmieYtyCRe63tFRCZxoxV9Vp1OscnJxdLEclFjgm38uItM3beD9CZhniu5tafLXotKbPtvf2dtzuLqrMRH7EqMw4+nn48wVsUl1oUZgxjzCBUckQqZ17IfiEERRDtsdDxkFNBoXyZpikfAJZPujViMad1uEUIf248DPUo+eO0fd4ODIQ+jzhN8M7hv2wLSJ9m0CC/Gvt7hCmBVICNBswYcwpvvHq28YofcyRT7dFhC6zbpmqL7sFRdVvwo9mB4SpwQWSkoXOx3ZY0DGTnu6+5v9tceO8tmRs5IzXS5zQaJ8n2E11U3hU6K+dTR7u1xTzoUO4uOoxYzPG1SXylZXCu3+LumbwXlaVRgQsME2yCB6Vm1pUvY83M2brzb6uqf+/s8DABtza16t7Fn5GJWXDj4yBv8XmZmFvLb5Qx+xYJhUcXX4rJhJqqAdPeN56dULhwNuEYypnHVFSVf4v+KuAPwDQl476WAz1R7bLT6pi6PsXmKouOxuwbVOp75oNPF+T9guYpRAvwav5bcRqPZ/aumIXxTEb3GzuNg/1ms9F6s9uaG1uvzDEfjSsMy262MRLr0PQwRwQaZ5OLE3xLSVsQSwWp16HlIjxGArqI+ctU39k+FwOmxooLjbUqANlyZ5QddL4HFPAxt1fuUhGJQG0yZnXgM9eZiorU12OmZEjvGJFRlCnA1cHGF/fYrxDqJKzFp6gP7wH1WAtfrJRR1jykumCY9rlibAJaZauXyMEWgjLUjS1l9NrWdrO1u9VsbUGsi4tB3aab1lE4dVsK3jA2azkm04z23zZ3ol12sL3dMj/EEd072N+hNN7Zj+P+4vvFpZ514VWp0ATy78kymrBz0T49v2qc/HayOMe2MLFqNu00y7C74TU/AD7ZiCn8/GnMEM2GdBD+YEF5LNk+Am87oIEEF+i9FSLSQeUE2i0YlTSDQpHQhvl1RnPG1v7O20XPdrQcui/dRLxCAweMRGPlpJNRwsXtwtejFfr0sMjg2L7CHRxzBXiTluYycox5bEE+ssoix1dDOGwUBI2/QNBY5bhsQV30q85URBmdmdXGldc9OIn4u3pwzlqKf3rzzSdl8p113XyCl5fQiuM7a7f5hDRfTB+OhfpsPsHY391/o/IGm3Py/gJ6cXyTzppPiOMHbdwxi+MfrpfmY0z+OE00Z3H4o3XP/AqP/9y2mV8RzD+rX+ZXhPE9NMqcxcK6Q+Y37JA5cwHWrTG/XWvMmQvwg/fEfJrn76sZ5lO8vATX+/vpgvmUJF+M271Q+8unOPu7/e6V9r2cl9EX4GQ/t+HlU6z9gxzm77LFZciISnU3ZWyed+1RVxhLV6bhULnQxk0aYKMLW1UDTrFvjZbywVCHVgtWrnjypjnchHhAq1Vv7l213hxu7x3uvmk0mwshpQ6YbERcT6oCFj5yerN8iS2FVowugLYFNEuhufHIulEpPXQlhF/dy7qFyItKecp+9s10NnPnC1h6RbYqWo/zAsCznaxMvlR6SNrgpCygGJATsKW6PJVVLdGRNddOO59gjcpmy8KrgLRX9U5YumfunCMq6CJwmoZuQG4sWQwlmgdMdkNMquJpIsWA6yxGPZZQDb+UddD/JRuJFBuHpP5mp7Hf2n2706yRjYTqjUOyu9fYa+4dtN6S/7egSqqyYPJLylTdlZ1PpeZhs1xbeahtqeodS8zfBoqKLKEqhJnXQzYhETX+aE9mYRnikfPqdbHBHVdYSxgxYVz3Gl6uJ1IqG3Co+ZhB7Dr9+EFdx2MPPIH2eo1E3jwtltPmxYEYueICGoeNoCh0wKTjtpx60pOplqIeL3CTYhZwLFNNk6re/M0LGB4183SZKyya46sAvw2dovKMYZtV60FOR3Ti4RBvhbwX0EGIGFZgIqnI76cXoWdIiL2stz1m7nnMkgmWazpnUkv3Y1nIB7vN3QVC3EbAig2MxVWher2EGZ7SrvXPC+CzBsRXpF8t4TPV6+eM9diCe9oYdX9JUYm1MUQAaWLGd+dzrorSLBqazXjaPm8Hz83k0J7aW201AGuFbr3LmJBpt81VgGszN+d8nvI0/9Cz23Pl6TDF3lxE9v1L9kRvrlZju7HTWCBHLqHf1OQHCIIXYfGPqLrlYtDQSVV1hxtXivb7PCJnhk1yoaSWkUwgQmisZ0tB2rgWly5uizeDeSu/sMcf+Yn8+uH06gTb9f18eXJyjj+2P747ucQfL0+OSz384EsLCMjWT3XpPKGIVe0NN2vYQsfLwB9U32aLmF06B+uP3RF9/bUHeAffqHSB1353dwE33yYcVxWfmO5k7CfeTF2uc3nZEvVXN1PJkGYLqOaqGwVfFnoEJ1zcQs2WDAFAZnV8enKjunsWW9cbJKls+S9tNZvN1vbOAmrdWBapsbUAFTuso125H/HJodXCLNClTzOBNmiPpmx/lzARydgo29wMfS+Vx/xwxBKJaexSpPlZ32EaTNaTB1Ahl2zwOWNqYj+rFRvBRBLeISli3+vCwqgYhQO3lzfJuGs+u8lvqeXYLmIv026LBt3wMPqhWCTvmHKwldC9J4f28r1SjIq6PPm5++70vH35n8i5V+oz0DU+v8vaR832L5/fXbXb7Tb8jv/8a9lVRyS2r3XMcym2M9f2yNXTGp1tVtZsfBzX4bR6OV14GaBFg2Bqs74JS2KXx5MMOyLlYpDkXoV93u8PzER+ZeTb+b0Gcj757aJ9ftzt/P7aIt3ki5LTwHVeaQT4RzCundLi+6cYO4YJYe+a0T9+Obs6hblgbDcctD/xI95RxQE5O2FioIc4rL3aBl7zzWzGPP710+Ux7uWTn7ufzW8F0oONF+wr79LFLOKjUmU2ecUaA3Kz0dq4mQHbtPnHxtHhtdL0WrG4q/X4usfF9WhCx+MGe2ALNcss7rVyucFq+rFpKmKq4uIWQDA+q1M8UNA007hLlmBsyKfziFbCU7vXU+wOHXU4J11Rq5mvdEx8+PfZxyV4uGWTClj4wO9YHTriG1MFalZkHzAPy3f+n95f/dq+PLnOi5ec2j+/uj7KlGJC2yuN69MRHTCsLzmBrrBmZ3+CSdPrey4MoWbDLiGQch3QSiTyPkdayqu6sRMu5IEJewTMWt7rpWXkVcYMWV0fs142GCwC3eSFFpJeVRQeM4Os9VDaRoszkUZUCKa6qaZzIYQ+Zs1DtNoQ2/5l6+T40nY5dCCfGXSO7mdJMiEx09gbeUQTHnGZpWEBFPTk/HJ5VrblF+DN+s/L8HWO3odZBT6Cln6h2Vpsi27bqiNiAfgz0ExvVqrE9gLxvApr1jauLJJ/wQHzZyiahkcTI4lPwC0c6Fy4bv7NRuiLl91123WfZloKOZJZWke73n6sNO/TSONvHsej5N7HckS5qBu54KNQ71Sncazwd7OP8Cc+vtsN/sDHd/v216kxRzQKnhtlmj3gj8b3tD9hn0/8xXXsxN8ylVwLEg75ExTN1WkE0Vx86h61Vd0pjPotm+BfHvaaB/Ugw6YUnPB8PH+7ZCppoMSqcm2OYXSnoTKV5JbcBlQW+FqzjcAQPhUklSNGIpqC62+cxhGdEHBTLfji6YU5E7akwhAAbolkkgO+UFJgjThkENtuHTuIARRiHjjEGvaBdLb1DQ5xg3H9kEJkyBBmy/EMnQnXTNGEnF7c7fsxmYgSaXOdb/64QUDC/7ohr05Prt6Ty/dHftDtNzvbr5Gm8ME8PdOZ5u5uwWOPWpQrR24e7gGyS9ZsUfL/P3vvutxGjiwI/5+nQKgjPlvno0okdfdGnwlZkk9rR76sJU+f3d4JCawCSbSKQBlASWbH/tjX2NfbJ9lA4lKoC6UiJUq0bMfEtEhWAcgLEpmJvCzGN0uv+1o0v/YY9umjfvKioKVv+SK0ORK06gSma1M09qI+uutWJ4lCdIioMkVCZUczMOMKkRsipnoKU4q08n5lcDdtRgTlCZrk0rTQHLjyRSQxpg9xwVHFsQ4PDwhay9horYgKhmqzkf7u5Va/1dw2FBgqRy+L2T6ZKrGBoLJFMmBb/XIViC3Fs7UKYa9+uTKJOAplWBTl2OyiFykwDkDnadoC4Ir/4fEz60+Hpg7ql89nptS6KbFhu01PeQ6drwuJOg0YBOr8FhY5ZejKgXYFpZeg5ogqNYgUJOZMKpGDDghxaGHdd6hhUoBhfN8zvYNlWfdme3tr01QQ+fvXX+335vMvimeL0cmJnlWg1asvzF8AeJEI7CyRJHBvUODQ465BdFCGGFG3XFyjCWdUcUHZyEgkr826c3lAtOizLGJrAGIZEh2Ddo9SPrKBCvpVLV2HijBT+ThUJY1rH6txtXO655EJseznX/PDYumaFbqFdkz3a2KiGhlXdcm0ELvo0Wb8vBgnZVjKQHg9enlcO7wTUPaoXCBI1Sy2VUGQu9yjn6zjI1hMIGktatcWXd/cl0/3d+DQ58TMBW9v1zM2Frpf0qv/mpOlpSmAbgUT2A3lA4QAMPOL9eQ2Aev3pKZShfFrZ+Pf4Ww0ClhYgTycJdJnDC6r04zrd0FaiML0N/muwdojq4ubhu0Y5hvkyj/VCSYzwBoVzo9oas4zRCaZKtYDSzdPXtm3K+W1EjqESy0FEUADom5J0C4VGvPfcmPCLKoAGGuQCJJcLtdMuwDn6WhMQA67SeHcMBN3ADFZRrzskPnA/FS5kirprsFY5mFw1a4NOQ+v69agclH4RVXsGx3YEiAhiogJBN1lgsRUknTqOgekVCqU0utSQqXMh0P6zY8Iz7zWAv/N5qZ5xDwRcTFaj9CFmLrbySwT/BudmOxbKqG3DJ1k6RQpfF0Ou7DqsaZ5igckleaWQ+uEcIjekjQF6C/OjmUh42Ie5dcNBZselHKveUfGY7K80MdzGH226IbjtGqTmJvtqzeNyrJZ74yDeUEUOBZd5rbxk7hOEyb60zgyv+Y4NbqYfQZMMGvsBdGYaerQYDItyLeYZEajGXPbl820MKpsKysXIvCZYEAoLXVwqK4AsjeomcsIRvjdNh71IapgvmiFDmaOMWO8UEZLe7ATYKBwhVQBGpCU3zaLhGb5UZYxIW6N3whLFU2mdgSziYwUwVJ5hcH7aewoJdsXYJU2V8dLOcfAMh/0NQP1SoKqU9rwxfLMwWKtHlefqRhjzXil9JmkBKZp4QRo2PhYLpDSptld8ewSgHqCw4IMhzbMRqvBhm0sLl6Ti7Pj9Y5xUvno14IKheEGQrfjWoGA+AwlQrBlGtwi1XkLn1fxpKYZcMX3fabAeTLrOCko0e5gge8XYzBXeXpJjPXFDv9w6+RnKbhVKAX3swrcHej4bgvA/az99ki1315i2bcftOLbz2JvTZh48WnrL73E24uu7vbCC7v9rOl2P05+1HJu33clt59F3J6viNvP+m3PV7/tByvd9kKqtv0s2PbYvLAytvIDa7X9CGXaXmaFth+rONv3W5fNBeJHOKV4We7/Na3+wgSvifQS1k1tW/xLArSDhC8I11YiB1Bd9keYHwDhd9j0T4uvjbKJS35tG8PnW+3o3zRzT6P/yX4fQ6gvV+GQgnzNKfRqm/Ic7rxySRBG708vPp+gw4uL/+/oH9AGKyiB40EIwI1q2Qev/kBr/7lxOCJMraH2WZCeNEtrTgR0oUmNIIWJCveOkIMDlXUgMQcNyBjfUC5C7PnrlglPSEqsallDXoj8ZoyHgzYg36+RJnVEn3d3dvpzo3eJOsZatUzBd4ViuFWuIfkweUdZMjeWsxQrLayWKmP8JE+L7zBT659hptbh7+e1VKnDv3KX9wR/osNjW2vl6JP544yy3KZPTXD88dz8+cFEGsOHcMiPwyGNCdra3THPnWNs33C9+9i9HOHYIBy3iSM8fpuFnJ1wISG37PIawB+iVGNjPh4JcePY5eF7ssRws88cv8YSBHUqOLscK4Xj62hClSDQu94NsAkycnNu8iw1a3Js7+216jbnhvUUCBE514Y1jkKzY96b/qjmwwXnaWn3MtRyGzVSTkNYJ5iepC0xlNaE4qdRB2CqJiJE6L/fCXBJS4NROqVwI/SafItm86l5RW5eHHa73f4mWq9jDH5pQswyD/IwidzxamskhTipMcjDkVTHUTlnv4KmJ5a0uUhXCVnh8HXEtR2ljFcSj8EP/jRb08324N3pBpoPne4tuXnR6+4cNHAffD8DQ4+7Rx8lN+wOyXunOj83HWZoV0ujwxGfTDBL4DLk3EDBRqZZdCaIu46v0+iZBERrfN5jvywNn+3fnYFYmQ+eSlZAYLoRGOGsD5W/4VgPQ2+325slOqJut/XN9QzkrqCYmS1J5iTQ3abakgn0id8ScT4maXuttZlCzyNkWqM6RO8szX7JqJ7v/bvJ4YmRGv+Logq225m5rhsJnmdvkNGqK23YNdN7r6ziCOu3tB3GTL1QyAOUtg6FREMe5xJx43114yOUubq0VEmSDuFMolBSDe4d0inCN5wmElG2kZAM0g1xOpVUFqHuZgnfop3ugR01vKQb0tQFaNvK+xqovzUgRQlbZyrc0Q5DMc3GS/Pen5t8UXtx4EptmCkNOya58F+bklwhqmvi8uz88uTo+LeTy8/nh5e/n178dnl4cn7Z6+9fHr09ujRX6W03apxSwlRUj7d/9BTrk/cbrmSlVJglGzjlrHzlyiFxtAgiMWurxULlMgfmmeQK/tiAHFppatuiqzpIl/EYitVIuBYqAk38oJCSY5JazR0CVpC5Um+pcnoaRa1vxmatZEkoPoQaknxYwnUwua0oNsHXBOVZ9cLbIwOWeBctFqJBUXvHUQErG+5ThPaYiiwQ8RiGQRq5AuuqJ2P8sWaIstZB7q/2nki7zjGW42iS7CyJMEclicVGWhWnEBvntv374x2U0BExV5nHJ589/ewFo8ceH7bZMpVAK5OxxaGkiIbV+r/CrD0ffNUUaGXKrvrYKhijRonuu73do713/aOdnbfvjveO90/23+6/23777u277tHBSetGBiFN5Bj3no0o578d9r57qhycbB1sHR9s9bb29/f3j/v7+/3d3aP+8UFvp9/bPu4d946OTt72W8ddVahTHDXPQp/+zm4zhTwOb4q784dTqBjVUOpx9s3u/t673d3dw+7O9sm73t5hd/+k/67f2+2fHL7dPnp71D3u7+6c9I739vd23p7sbb99t3W01+sfHR70jw/ftQ7xtjCaJIQlEa0hvirIAHRl22EF7hOodo0HUamCYkClmsujSEn6zLlCR4eQunTKhgKbakm5IOiC4EkHHR/96rNlj49+nSOXw07+J95a1vFthIApMlQU+DfzSih4nmgde2wSxqcoI0Kzmmax8/OzzULvRmiMWSLH+Lpe/inZJjuD3n6yO9jZifd6/b3+/sFWv9+LD3YHuN++V45Fx2NkeRxjRTYhEyLQkaFCm5mkTdJHuDMb8iNe9bv93kZX/+8C8iLedLvz9W4I4H1w1se8AFeTQO4Dtnew130MYKFIlFhmPOahVrxjnKZaWDJ0/uHUylRF0lTaYB7IJDQZMmMuFUgVxc03wVnp5AOEjytFJsb1ae4PtTGFFI/Q76byXynW/AbTFA+0SPCB5n7cEdGYz6ixg68SogWc6Xxli0o2J4vNXUXS4dzIyueUzzWJXEhij5Z7JfJkan4DUXzM43ziC8o/kiSWeWaa/VwaW3pZQSberLLTNOsOJSPefDMmacqbDJYZFnx/Z/fyP47eawt+a39b2zPFgydHx3c96umytpD987MuwPPVBQhJ8KMXBWjExXdWEaABhlVIb/jOygE0YHFl8hsWqgXQANBz5zYsvRDAPTCvQK7Dk1QBaEDDC02OCCF9cfn/VeBeTvJ/CNlLy/yfAduPm/Y/AyE/Vs7/DCR8Dwn/4dJ/Zvs/YbZ/CfE/U/2fLtW/hPgXnuffDOv3leTfBMMqmMDfT4Z/EwZXxvxdKL2/CaLntn8fNbf/PgBXwNidN7G/CaQfwHD9LlP6l2nPzAhgLCwc12Z2RG8Is9ckHXOhibMspTEepPWbaEnirL+zK1pbLkQqPEhBsLeAdMB5SjBrAuit+QkNU1wCy5Z/vzg7R4yMuKLmvuoWy6ANp1Y8vUqlBGYSGrXbOFmGCAN9SH/OGSNp6+3GyDd16UJmn5SUPk53QOArWDdJIvTJ1tU3Nhai5TYep4cfDov2ya/DTkEUMwxhy1hqLXVCmJKbKpUbvrGahmHDjDvzh+jbWE3SX3CasQ23xg2ayPVKiJTtyFIYDSm/JQJajDS2v9rsRa2ZThCZT5bKcFRWgquB4ey80BbGQ6vZ65tRcKpc2prNzH36akb82rXNG/FbB+m5In5nrWRJKF5mxG9Ii4VosJoRv3adLybi15Hpe474DWnyMiJ+n5Mqjx3xW6HOC4n4bUmhYtTvMOLXwrjUiN/zuWJ7azG9xRlh1loz5Z4kttdO/ifeWloQWXNwr5n40YJ7tw62t7d7eLC7s7ezTfr97t6gR3qD7Z29wdbudq99ASeDj8e6wpUKT7JarKsN7FyF4N4A3ke51Z0H4CcP7rXALjfQ9Lx1SGlFIDcIgFrQ0dIEwM84yOeLgwxJ8KPHQTbi4juLg2yAYRUugb6zOMgGLK7MRdBCcZANAD33PdDS4yDvgXkFroaeJA6yAQ0v9DophPTFxUFWgXs5cZAhZC8tDnIGbD9uHOQMhPxYcZAzkPA9xEGGS/8ZB/mEcZAlxP+Mg3y6OMgS4l94HGQzrN9XHGQTDKtgAn8/cZBNGFwZ83ehOMgmiJ7b/n3UOMj7AFwBY3feOMgmkH4Aw/W7jIMsX9M/9mo/GNUMZVj4qw133ZxhIW28FnzPBR1RzXwmOq3hIifqt3aOO1osOTzwg8Z+Sv8iiQmhgytsHx0Ih0gI5n0gusKjMwH0bJdh5mojN8FUh2gGPCVoXlmVnRaqo+v+kWEGerRrGBVzU91fiwklcEyiv9mVH5qHBbEXVnC/zzNtnkOonhkEm0hQDPF7HSTzeAyhANAygkhlYkMhrMCOq3cajQnsXIwSrPBAI/trTsQ0MnxRcP9weID3D/Z7g704Tnbw31qg1EDxhDitog0+m3qs0hRTzlKCyA3gMKXXJESZDVQbEG1SIsVHRKPKmE7uSs+OjLVZLTxix5glqTHB/CSUKSI2bEAlSRyuZRWv24PhQX+4tbO3N9jaTvAu3orJQf8g6ZIu2d7b2i2j0631iZHqpm3Nr+E71NRQGtPRWCMLlqzfu+XiGk0IlrmwFiUwsWdKy8Ae5SEbu0Oigsxud9jd3cO4O8AH3f5gL0BeLozAsgWIv3w+g4+zCxB/+XzmSgvDeZdoJRWq/Rjjj+sp7XmIhdIG+ZfPZ9JcT9on3eI1/ANB8DVlI5TwW6bZgyMZj8mEdJAp4tRBGVZj+z5HLpz2ITWFzcBLEtSvjmF0xya5SAuhs1auP7XmWQOhU4YknxCIjNbSSeN5gqemZLaNXz/9pLGwqVGr8Z1QQWKVTjve74DLoBl7OtJjgzNDj90x8eH+chndghtjxPUc+qcrWzvLYC5coQFIL8zeUet1plQRgVN0+ulm149JWJxy61i8+uMKaHf1ryv0+vTk4h36/O7ID9rf2+qvmzWFDxY+EudngajggcZPpmBn2P3mlutHNMt+VT3wGip/+eQFF9++LI6ABgB6WQXiTHCtlrpu8gb1xG5tDxrwEsT2Ji7sLiU4MbtHBaS6qI9OJYLwAkkUolo62RDrjuZLxpUW/2IKddnHcDyW368M7qbNiKA8QZNcKhhkoCW8Xh9JyidEkatgHh4QtJaxUVAeS7++Funvgrk+cGWjk29NcTgLF+g7ep3F6eVWKtFrZ84qLKLRX+sdgNyPCWjDWndnYaCgZ6zXa6O/1jpmPWaEtfU6P2XWa+WYaCjwaNLOOb0QD33iQllt3IoVBFdXZhP8chUIGcWztQq9rn65MndRqqQgu0Vb8DwsedpGjXXBJ/bLJ27+cjo0TTX06QKtR+lES0XM4Cic8hwquBcybxrQWioehnNRhq5ykUZ6vCvIjoIgU5CZZt9SCS5LZsKaSGLMPdA6nSAC9ckPKXku4uYUF5eIU0ijN9vbW5uSYBGP//71V/u9+fyL4lmJNk44rDx9Xn1hE55olSkpJBqwrUSSEFbCm8dXw86nDDHTaxFNOKOKa4PGCBQ+AIUn8aflgGjJZdkCKCkIliGhMSSLoZSPZMefZ9DVQBGG/tSyyRsUNmgYFJDShgr5YkIsy/nX/LBYajl7i6VfaKekIDGu6oJlIRbRo834ucQ9GZYykD2Pnldkhy96RMABFlXWoMbzc29lHjWuzBHIP4uItcq0XMx5c2gcHm+sCd24Dl7I0to6trfrNwvb21ulRYFNuUy1AyawzGp+HRCjfZhfbH5eEwye3zVOK0xVO1/+DueL0U1CV0s4S6RlNi4rkIzrd2EniuKKzIRNBGuPrPYpzF0czDfIlX+qE0xmgDXajR8RcgcwQ2SSqWI9sHTz5JV9O8ZMSxF/P0whN4EpihVBA6JuCSmnWqpbbpT2yiFqsi+JIMnlcu2Ni8CKLCYFUessKA1vlpGis3Q+MD8FZKxpa8FY5mEw8NaGnIcRRmuaIGvhF1VJabQ+i9eEKCImlJFEn58xlSS1iR0Ykvys+6G4mZb5cEi/+RHhGchnfbO5aR4xT0RcjNYjdCGmtrIwzjLBv9GJidWgUtsikk6ydIoUWJx1hVCTMsUDkkotfVJQl+DcuSVpCtBfnB3LQtDEPMqv1+oivBqA5X1pYNguiw/OYfTZYhEOlqpybSICrt40qodmvTOOqDJkjqGWyeR+EpDlVhk2x/0Ufc1xapQN+wwzXedBIBVyAKepg8546cm3mGTmyB5zbcXo13KWWM26tosjMNWxc24EdkV1BeA/tHnrRjrB77HxTnp/j3Ld4WDmGDPGC2WrtGM6AQYKC7wK0ICkJlGlvoGbd3tZIoS4Ne4KLFU0mdoRDMubPY+lWouq7gE7Ssk2A1ilvd/xMsnxpcwH/Ujmg15JrHRK27NYnpHuVpV3sfLFGGvGGaIPBiUwTQsjtWGbYtn6ulPx7BLAeAJhToZDEkOugdbsDKNY6F+Ti7Pj9Y7xhlwzfss0Cgu8F/YHCMWO8zKCeAu3drBJGgz16ryFcyXoqhbzCfDB9y3zQd7PEvcFJdoJfvi+xDe5JGKJoQRf7PANCne4AuMxtS5e93m2jxe4EFz51tPrNEdEmVGKtYDAA54bwQmPGlsNWtORG+xNYetVBCvPc4ntYqf5Y4xvCHhiCIR2cBG4dJgSlEirNsIkIFa4AMuQwWs0cZLCuaMxQxiS7631aE6AQFBOLOEe1JZujNmIyGi50iDscm28vVxMC5SDKjwhEO7Gh7N0OczQ2fHhJ43aQ8PMx36oUAy0L4tuYYdkoyUydjmbqX1tJLs8fag+chjP4zce1XC+koUC0NEag+96UbMfD9MBEQqdUCYVoWxelACvPxvPwuzPzbQGBUtr9lu/LvQVmAB624hTTqUik80sxUoL1Ll520CxxIMlpKKZbN4lBin6j85jX3zDWFusATrJCNOStHRIDeEO30hLhjDjbDqhfwW+X4N+//GLJMM81ZvwSr8U0eRK86D5oAG88kpnzNnQ0Bmn5YORJQ16fC5JMj+7Vhk1LvI5HpNJ3a2CbEjzPd/obexs9Hsb/W5/u7990Ovv7e9t9HcP+tv9g+3u9kZ/a6d3sLO7t7+70evOUdragljn4kWBfHzxfD7mwtqEXKCUj4KL3SZc4YgsKJoFT5eWzuxrEZnwDD0TwkZ1U7TY51ZHq4D06o+1azrADF/iZELZWgetCQJGIhtd6gHnqPDz4rQlf4XsDIUfUiEsoF9RlbBY4E+lsAEpP7BaWEXC96oYVuFYSdWwWORP5fAhymGBxxesHhZA/tgKYoGHH0JFfA4NIox7WkXloH3QzSNoDm51L1UpKMO3kud9eYlPf5S7+X+e0jNPaYei7/UA9pXNV+tsbS/pHnjw+iidH+FMVViMiPohXRMW9BX1S9jVrare8QxOCYuRl6p8zIuBlVRP5gViJX0RdoU/VZyHOCIsEr9XJag9hCumJj2xC8Ii4QXrSmGw1CUeuUyeIGQKFd+2CJwyY7jwKQa5+1Dbd0JMbDxGA8Fvg2xpv7svxmRqs1HkmN8ifRIxdEsGLgUYclf0UJSNikB7m/yf+6W6IPeHxzolRE/7VGLczlalMf005ozcY7ssZUEFSutSBw+xoKVFzZGf9XyqHAu45bLELVUI3/O/aJrizZ2oi14bGvwXdPTpi6UH+niOev3LngnhfI9j/cV/rqPDLEvJ72TwD6o2d7s7US/q7fh1vv7Hbxfvzzrmnf8g8TVfd8VGNnv9qIve8wFNyWZv56S3vW+RvLnb3batoTyqZTTEE5ouK4Hm4zky46PXLvJTkGSMVQclZEAx66ChIGQgkw66pSzht3K9hkDzZG3d7TIsV9P0/mhKbLCRVQ+dOcDCxGTf6kNAqS6jBNe4yzDMe/4nviFVHF0TwciyjLYaDGY2v2xTIQTfztoX29F21N3o9fobUBCUxtXVr6A592AKuzIDAX1nkfQ/q/hwJsRT0dPNZ/duTJjisoPyQc5Uftd+xeKW1varXtjSzARpgt+v7Dy28gJYC1iRERf0L/MErwJJmeKeuFoc2yNrIDhOoCwgEbFW/EGOUSIDG+Kjf1wSNORpym/1yLafYJErDZlwr33NofU3KKUs/9ZBExwDRhn9ViRrWLzWy0Z8PEdTnr96JfQJjyEvA1IAbNqRTQZOqVQdm+Yf5HmY0gJ+yIxnubahkgh9SgmWBKVEoVxCRgQaTDWimJ4BM1MG1Ex1cnTe0VjNBM+4JIgG+YE4SaBXZD2mH8BsqylzGS23zFWNz9sKrF436lUP0OUuNagfdo8apQ/9QAm/Se2BadXvf54dfmijeOvnnMqNRZHDaU3IKdrv9qPeV6Tw6LVcN8ljGY6vifIFjKTJ/cASUTaCUibQVcP8CeNjKXlMbZU+PQRzyd1gu4Nxr6H2GxP70sF2MnMkuo6Sfqd8MDnukYa+CQpBYi4SPRxlo9RCq/AI0sxAOuRQDgLaWDrijU0BBL3QrxuUbXxFhMU4k7lZpexY10PTylApb11NMxoH+W422wJKvGCfoC8Jk1yg1yQaReh/EHLdQb9TQeQYi+t1yD6nNySdIm+egaNJ4CFUVq5ggjJGxEyqmiGQecgCVxBYotcuj8SOan8rw78+A8i7wTPw2XHnhfIO8Iy0+5sT5+nUy1/KvITSsLMGXtGMbroaEYcOhUcjkAV2yI8D13YsYG7HvVHI5fYUaOA/97gd0vN26FqCWi1+V9i6Ys4hlVAZCwIOsOoOs2PCCoLxZtFlSAW5xWkqO0gA88uO8YDgBA1willMhHwE+3dpTlgA9PTYGBaaVYp61Z4qdTne9ixaonn8MbPVOwECcD3NAwPPlaTJPZXQ/WmQp4wIPKC+sqw7Fmo/zD4f9PFQGqhFZhtumBrV0txca+nCMfWgtDKj8C21JAS0nOJDp0Bo+S/iMVXE9OsCAFUNXxjCkGSR73sBiqMtuuK07Q0vD14Pw1uSY7CC9VznX85P1vUfppFCCg/6QYsXXNVFLtA7u8/XS5mqRVfrrzlOp3KUY5FE5m+oBv71lgzGJM02h/wSKgOlm1o/TEkyInrozRKAl07XJjIaq8kf/w0G8gsrI6N49l/rjXVhXI0rl4tYVytf/bHm4JrjJjdO9eHiksiXxCXQHKI0kS+oWsKCjLkoNNEScQpfT1jOBpqFQO/x+EbKzXpR3H+et67gHax4xczsGi6DL5oRCVvOnmzSH/Q4hTMznLbp7RmbIr4h0YQqQUyvdy3RNof4KzB3+kt8Qy4h4fYyWJy8jAXRZtUfR1BQ3k8bSlpKzIl98i3jUsuLo3+ehBD+q0bVU6ZtqI/nyHSjQf2o1492O2E5lzI6rC34+dPRHO29CfRmWPa2cLIzuJUC/chcnlJ5B2nqW6KJRA174qQtCpamp2jIHcRWILw+PV53xQVsw41SUY6moxOZHO8InYZp2SgvX/TZCeyg7la6jtfqmdGW9W/HWF1Seam3AE3WLa9XebxwDFR5/fT4Xw002jAdjrrdbusuN1DZkyyvPvkhEsSUVZstYEpatpU2ptTqhCo6MkaSx4Ujhuf+pEKXKmKaKRKP6MaAMv0teIXjEf27/uNXj8fdXm8ONGrGu1wq81tbkwskY8yaWbWx51Wv29uP5mEKPT4jIrohLOHLqux+YYvFzDrWYQnILKEG1gVheJC2b2MUc0GiQdEA5y5ghinHjcfoq3M9jKkYITAb2VvUbtTV+nevG3Vt3Rf9JxoQdwsx4VIhSW6ICGsLvtWKpbQjcm2jaj1NSiLlBK5tQWpnKafKIWVClKCxRK+xUji+RjcQ4lP4PU1Zv29UTTsoE/SGpmREbNVjG9ehiDCln9c7iE4yHKti1DBKQ4/hx9WvjQQMq4ey8VawJtvyFQpOz1ACGpQup6AD624kPM41yOs1/XQn2pmPxITdUMGZHq3V7ecT0fokXNZ9RMdsinzRSuASS6EOWoRCcLdPBdHjyxUgkSKTjItVos6FXdF9hIErxAlWuUG0RmlCg0JandJ57WgVP96+aInh5XrUwXz/4DqnlPwfhcH8+sM/j9eLwx6qjiloXe1xBGQA/sTsmrIROLLXzvjtWgetvScJzSdrhpvXfqOj8RqQQBtn6KavierFpx8ROEFW3ZQQQVjMpWCqYqytqGurV03B05iQIWXlsrx6hOLhEo0CLoInqET8lpHEaC+Y4ZHxRL07/Xx+EX0UI9MsB72GL7TwRF/ON0x3f8bZRib4kAamVtCmpoNux1wLAypdLW3F0ZikGch98LtLEgNzas0W5ITWvjLOgsZviuCJRDgWXBrF+ZaLNJnBouwmiRiVKhrxG/BUbFhRBOxaFwbmCqUdq1qSLFG78FRv1DCg7pPGHggKdwhi6PkGjdZTj7NMUC6osoRAgoywgBiDQAQshsGaEq+nif3U93glv+10D0JnJHTIOaq0fr/zvopKrQWk5nAwNzXGEtEby7kn9Wb5VunPL0s9OEO/JTXdO9IpSvloZLtHoIuzc6SFqbnvSeiIwknoOvMV7fY8RkicK63joQFlWFCtx5xvvj99f1Kejdmo9wFP4Bk4QHE6lVBOGQq1u1Vy8Ptf+z37u6vmHjY7M4Gx0nSy0G93oIK3vw2GiMAr/QN0QbqKYBg74hjLMZGO345PPm8Qpk+Ncrt9LWZ8zLptO6DfvII2L1Acv3QJMyDFZbO/HTS3W2Yh+uVIjnF/Z/dq3YN3cmOJilURiBs2zq05m90NU3H9JjvlpThUmF5MBh9hnUrrjtbUtg4sdKVSGQV9o65s+wg7Ivwcp5QwZRH68LsSnMIG1scNZDQsK17UN9+yDfKCeW0dzNfnhx/WIxPJp+eR6AaLqT4R4so2BbXB9QQ1CkRAK3D5DKCpp96eEMVpKFo00dDcf/zhHIUQI/RaD+XKWEurrpcSRUi9BeirfwuqfrfWPmzP7mdpOek7Ti7WrL2hJ//8vfg9/M/RhlJWQWvfh9KuexVaT85HPdN50neW1KpVB3388mul/zz0mryD0n6vLErxlWk5+V4zhZYK/6Tkdk4gnrvL5GIb95TFD4BzBZpNzgd2hbPnBP2FNqVkXF1CG5oW4CTFeVu2F+iEIOjwQ+NxTSk0rQBSzkbEtupOoKL1DU5p0uBz7Xc3unsbvV3U3XrT23mzdfD/d7tv2uf7aIDMPdUyIQLfQxtoegcb3X2Apvdmu/umvzMfNEHf+GU3AT/0nfJdwJC54Fe15vpVKOdosx3AE+fiZlmbCC7A9fgGFhvOQtJUPxDbn4LO+UFv88AyQ6ZtvEOLc17U4Nc2arbTb31FECCBfMs4a9d0KuhrUoL1xA5RdLwgAkqPl4lmghvaAbS7s7O1583ThHyrRJrz+NLEl1Uj0NsDLulfbYg/C2hwUdC//AVIQEuZ4VgbaGhAVV0773e399u7WQTF6XJ79NokSTOVuzOFI8ezbfPpBi4TEEBSERaH/uyhvcmGEu5A8WyMmWmv20FUBbHhxopV1tPAwUhKtWIB1x5ZZkLG/dBFV78aYnd23r19e3C0d3zy9l33YL97cNzrHx0dtm/A79wZSxd0p+WU6VK3dreIUCL8TiB0cjIhcBUUFqE3R7Jzv6D/4OgMsxE6EtNMcZTSgcBiGqFzQvxN6oiqcT6A+KYRTzEbbY745iDlg80R70W97U0p4s0YBtjUNj38XzTiv5xtbe1tnG3t1HsSabV8Z3djDjFcdP1/BnNTentzVnP0h/e29/A9hzm5uDXp1r0K5mRV9DhHjd48M+3J84tfCx20g85+LTXyD+xN48sH6/LRqL0ypmQJ6HmheG5bctamLBHuIUCtgOFYgbE1GC/UCHQd8Jeq6QTZRMYDDqpHjc227lr0hp75DRoQuNrGLB5zYT5uxC7i0d7nvDXPlJbw7zD2keu8ZM8k/bq/n3BXC3ATmqa2uSW4n/VSGz3mkBI15lIFgtrgCafUN6/MsBq7h4MHGxao/x2TTJAYbi024OageBGuaeATLWdHYebSs0rr0/BFik7IXy7/fvbyTBR85eEJHZm4THt1UBrdYKQ0LIfNYr8yHy6b+GYG6J4+EHYDoQCjXABRzGRN8LVAvaZQ+NydYMGgi9L0zpE1crW6T2REmVSBE/VeHIFbwryL3LuIJm5bxCnPk2IHHOmPLo5AoAlROMEKN2+K9/ZXEwwSl16FgMPCHsFJcgkPXLoh9ZMxkdIEm4V7pAQ5vBTRCR4FdW9n3U2F9U4mdAMP4qTX32qULAXrnOqx0emxD3Q0gDhcWcb5BR1qGsJDPE1CFnZL1ZBFZr0OC/eudxZ7NA5zJ4sEs7ulX7ZA2N0L8EjwI829hpLYeuAq2m6XYB0THI8pI5dBLveiy7BDhWnhbVcRxoddBlJy0aXMGq/tejLBQcI+mEHsQPPzhyCjQldddPbSII0zOzGX8Pga9pGVc8fuc4NQML+BHqXP+zQl0PwbhJz5TUssOeZCXZqTptCPnHph5tvwMm6GGuCX1QYLxd18ebCSuDTnIFQH8z82oTFAZfMrjeicMZWWoPPPBjI92NJzzlp5s92ki09nW8SiX9DFx+OPb9Bv/FYrUhOcmWoKf6+tpaTSoLvVGjT7fEL+jDJLiBxPa03jb7PYxvL5b+6Z2tCnbMhD7raHH7RDdZIuYGj9fSM729Px5Og8zNd2PTtlRGIZTSdpZJ8zCYRYGF8z42yjeLNSh5jPatTZamfMJmWpxp4bYsB5SjBrSY5hgStIZSrYpD4vl9Egp2l9yjoHeO1lrbd/3OserLVbzsdzBDOEEUbNC4l5Qhr3zV1rkUoQFY/bL8bNYoqFsqnn2Ot8QAQjCoInLIf+I/yuYdzid6+NllXLYlAU8ufd8rl46V4ZXVr0otxYpUXGk2YBNpdYCHCTceOKq5NdT5U3nAaLzvSJJ+jL6XHzRDSrzVP6qv0Up5/qM4AjI8Px46GtGLE+GU9qx9MDJ3MlsWZMVjEdHz6hG7ApT1/P+H//9/+RtgZWfUn2tPm3B59rwc+XE5xllI3ss2v/1lKoBDDZc3iCs/qSobCp8Uyu3LqDtTUvXpIU0otWb+l+Zc0LFyRLaYxluWIqejD3FuPO2DQJyVI+nVQcKQ+fuBh3xsTgYh3m6aODHAw8Y+p79N9FJ/bD2vuchA4hT1WZnsuu0XxReVTkTNEJWXdHuz1Fi3P9k/+iYQX2x+JE9+6UphO4GBs90vFLvrU1HezcUREff4f5UJ2G3zIiahOFC6xRyGEGXi0rdMUbVbBQUz74fYyB7vLCN66tVXHm8moqTPrg9TTVaqjOWSqeUJ618SfGxaQSldIIfsuSy+5f4YqEovh/czvlT57ya4o3cK54QiUkvxXb5r+aX9Gx/WWKwudQ4BG81yHbMFSoN9t1+CFnXVXY5yLjsS7nut23F1v57t0ljw1k4UO/tKBwXPNqWvuvWi3kBMdjW0Z5jEtFCmxQX4wZGhBEqBoXtEhQkpuKKAoLlWeOJ8xAFOq8T0x9BH8vATkgGRZ4QpQGWdicSaA1UWCSmw748IX+2LFJ+LA0yLTCqR5CSRPZdPrJPGEFFqJJB9JjIImytCRIuVISMNOMXJs9kgme5HFbI7wViiHIzp81dgJtJnqo71rQEpivtKBX0ldWfB2saf2eRQVJ+4+2JjOqj6nwKAs4S+pDGCpeUta8wlzMSGxbfF1fPp+hMb810WJmIXZXwBrvImGcC9J2v5bdMTPW8/uYwEYscHKLpd9k1qmFczXW55WraSQQ48p7JKo3wGu2MMiYYKHgknfCGVVcrFUk7gxhaZ+eqZDMvL6EWe3b5SvL2VpMcBExi5J3zOko6iY14qDR5n60SUrUqfpiZx7tdxzsM491yEn8i4g3SELCZR2wh7pESmBBg5w/+cAW9nMRxJ6NomcENMlLFZJQO0X0giucOgAhn59I1TTWXYDkshGMIEK3ce5jd0RShiY0FlySmLNENlhi8Zi0vgbIRRrVXpilw99J+0OTyadHtEsopyNfqTi76kCupf7PWCn9UR+88Le8athogb+7DSClNkkLA/Kb8xDxoe80YVQRS3mthxwZAQ+J8GwEXl33LC0T2L+kmf/0UwOUD3AQnn66c5Wn4arKK3F+sE5pPMgDppmrvB27EBKTWSt5ekMSRDOXtlnEB+QCLGOIDWl2DpT43tYDSWp0WeQiyBR75UITwUnuGCKzIZvEZV44TCgOBQmLhl11h8KYxNeXVVGwwNIOkeLXhDmlGfK5JdXCDjPCc5lOEWU3/JokrtvU0EwuTeXlom7xLdSIc5V80eknc6cED7tT3RVEPv5wbguM1UGDqJkM1wWfRtMlVK9oKerphNi6J6D3ZKYWgXWogt4P2rspoWnCFczfsGZQS+AprcYTlgQPw9dOzWPkmwJ5kuQpSczLkTccZT6ZYAhMdsrKe8sA9peWOkoxDrpfR1n7JIi0hgzUasdS2QA3MqGQBWDNH2zXC2ZLwZuGwp6YhCUZp0zJDlBdBlSnaoyuJjwBsZdeRWv3qD8NDAtleUoul3sO8MLm9AszCfwyj2NCkuCmsLizv61z1ONNPMQ0JYknuhVEAdG1yEYp59d51pLgxRgtCF4sNZiodEE7myIre4Q99jlUHAk5K+7OR/SGsFnHglB11NypgHklyJ0fph43kBJhKEQAbh53uLV1ED66TubE05SpMVE0DpzAa+f+SxMP21ZEhWM142sGgYIJTWWRpCXvtjKmvEcax9d4RC7LDon734PEuIcJj1M9hOniZDgPyreCgg4aOxeJkSs+ErlMb5DjVMJZHFc8ywV405Tjun1Uu4YyVQGTqvPUB8SmfFAbBMrLTGcBa341hVmqywiHvZzQ+e1S/Y6v5qpHQTa4tTy+VKQuHap79a4tNtPr3WC/3eXRDoIQGt3ldwE+m+nQHYx3hxrbbrIGA3E2DlErmWeqLDrFVpGs6mm/D3k1MO7GwF3rqgq/6lR/8lwwMn0i7lngzseLOzyqYqVs/uORLGQMLF/LGAtfO77wt21C8PuvwRZCyV0gToiU5cDEFqiUCsfX979S+B8EIUyOuboUZHj/AT9leELj+mXTXcDf0kSNW+/fCh1/1y87+wK8VMWSNTdn9BvEFDZNPCZ0NG52RLWY+Td4+96pG2cepDy+bmaye2XIoVKCDnIbQWCsF+MkT+gNTXJcWoeZKUIfWTo1/XrhbDRnrIT0KapeGTMF6kBxRtAteZWgrzkR+uO80ihoPlyHbracL+MWGgtrc8FY29q2drey0p7vEDI6MIWrCFMROuLCVCc0fWMAcuRqXqKiEkVABtOt9EFbl3zLiKCExc0b8V5y/nsNF4cDydNcEdevxuo6kPlTzOYrDFrDtQ6L+Wd6N90QV7qS4RtbAtva5sbYnSX4ZyMgRMIwrsJ4NwZqWHDHqgb2nasjosk6zFOUYcpcWeGGgWYtDt13RKJ7j0kfK/aY8J1hMSKrBmESp48H4bHbdBZE6F5EEkRYYtjtmahY1vkfCOQZxw+HaIY6OR9ccfpgBTDO03xi5ESKpzxXSI7pUJmCuK66q5ZCQ1GqBohKbhgjaS6VwI8nDWEwK6TAhaboxBx3RbVJOCmwIEgQnFphVxvIqnb2fflAidegsaF5TzkWVKsPwJw5Z8WEL8/ZGPpTpbIrcWK7ak6wuEZcoAnB0AkiSOyduQg4NB62iyacccWZbX5GmbbwJVj4gARzLEGD9LtphB5HbDR4hlpt0AXlRoXaVRir6tYjAXmfDClXvm77dgXMW1CJSWLFhgW2JFAMh/sUH6Wy0PV7cfFpzoAEO0IzPWY5fvU083nPikgT1MLxGzTCRou6fc+tqzcXqb9ut6ipK7K1qtyLaLIDnkxbS+2nsALqh4H+B7ZBaHU54AEAf5vrC7bBXZx7Rtr+vIkJmUltheVm+1CQhAoSq/ZeonsBcEUs/NC2SbFZKxZQpQxKL/hOWdq0OcNSIQqN7YqWwu526cvnM3BiQAxfbUaNFK+HUWjHectm2cM4IZX4fDTbOYpmO0hb4QJC0zAzB4Gb3FG2uN+2u9XQr4H15713qNyu6NFTPCUCCbjsUIJm5ma17YWDu5heTOP5XzW8eGfcgKhbQpgtrDiYKhCpFh9fcwLd+KDntKBKEYYwq++pYnfAozZ80sgTu3IuomBS6B3AGcKpILgmEVBQDqRe3ju4F3L/PnClD5BhMZnrjq2H10sCDuXCuB8wygQZ0m8dsPJnHGn2cjHhxIykxcC08IaYIxZuC0CLYOWLzgqZOCzE2NBagMwp6O5wvjYqFnOHAqEGVrucS1a35TceEql8K4dNB4pSDEbDoWP+GTT+5AS0RE7QW55cWjGwECfcyQfSRnHYDg7mfiKUPA0Soy4pjAS5R2KsMJIdh1+aw+lx0GyCbdzucjI+RLiPmQm/1MhvEO7mGNB7Mzgl4N68dG5a6a/pUVCuvnErsv/7pZzTnBYMBijTCASDEpTckMSHq4emG/K2W+NiQAA9urQOl+eSIhyjaAOTSdOYLULnmp+M5lt3r0BAF1UUp+ji6FOpU75SZJKpCJ2wxOrNUBW7kN+10RJqo7pKB8QqnwWrwsXWIFZxaA9rgoBu2tIYVvHctrCewu1tqwbPZRhnXMwTElV5/EGWMXSvdG0qH9su8Khf2CywO2mxfV+3lhr3PZEKD1IqxwhXd+8cenwR8LUqu2EJdtYdGC30XnMrRrICe+SbqQZbQe+qIMrFpvH4Wu6EcWkfj/5xvqPPhW+tw2bdGM1InRWPFkxUER1v7hEdD92hZ+ertUNrSkO4O4OdeUOxQ5t+yIbH3qGM+Y0aDKJ4CfWrwo/+HEvDKElNKsKggDc0t5znSEvnDpEMGGOuoywo7HzJuLoEmVDum4FKIfYlPnWlSd+gvWjfty2sY66oYUoZGuIbkwRZbWoWFS07riJ0gkVKtZ6v6j04PEu8kqV+enAfVurAcR+kYcuT+2CagYQFAYWZryJ0htUjQvns8mWMWSLH+PrRTqyahBlSpsWLXqqfrIUVVxt49Q626jyGZeaj5zFRkGxQazYZ1n29C1CveTTVgi4v5DHqT9xdDdr9C6pCO2lL40loNpwevf/UUrzaN5sROqug7CeTINROqloXhayRbq6o8A+2CcgQaeDQSTzmn+3A4CV5DAPAj4w+B26VzyTTVmRZBLTkm8dORfh/AQAA//+OatMI" } diff --git a/x-pack/metricbeat/module/prometheus/collector/_meta/data.json b/x-pack/metricbeat/module/prometheus/collector/_meta/data.json index b1fd95460ad..d35cd24a921 100644 --- a/x-pack/metricbeat/module/prometheus/collector/_meta/data.json +++ b/x-pack/metricbeat/module/prometheus/collector/_meta/data.json @@ -11,10 +11,11 @@ }, "prometheus": { "labels": { + "device": "br-33d819d5f834", "job": "prometheus" }, - "up": { - "value": 1 + "node_network_carrier": { + "value": 0 } }, "service": { diff --git a/x-pack/osquerybeat/docs/fields.asciidoc b/x-pack/osquerybeat/docs/fields.asciidoc index 0ad49632287..96ab2d13685 100644 --- a/x-pack/osquerybeat/docs/fields.asciidoc +++ b/x-pack/osquerybeat/docs/fields.asciidoc @@ -15451,47 +15451,16 @@ type: ip -- - -*`kubernetes.namespace.name`*:: +*`kubernetes.namespace`*:: + -- -Kubernetes namespace name +Kubernetes namespace type: keyword -- -*`kubernetes.namespace.uuid`*:: -+ --- -Kubernetes namespace uuid - - -type: keyword - --- - -*`kubernetes.namespace.labels.*`*:: -+ --- -Kubernetes namespace labels map - - -type: object - --- - -*`kubernetes.namespace.annotations.*`*:: -+ --- -Kubernetes namespace annotations map - - -type: object - --- - *`kubernetes.node.name`*:: + -- diff --git a/x-pack/osquerybeat/include/fields.go b/x-pack/osquerybeat/include/fields.go index b8a323811b6..9d6bce231f9 100644 --- a/x-pack/osquerybeat/include/fields.go +++ b/x-pack/osquerybeat/include/fields.go @@ -19,5 +19,5 @@ func init() { // AssetFieldsYml returns asset data. // This is the base64 encoded zlib format compressed contents of fields.yml. func AssetFieldsYml() string { - return 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" + return 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" } From 24f4410b60381ad27e848276ac00b6c3de8f1dbf Mon Sep 17 00:00:00 2001 From: Mario Castro Date: Tue, 23 Nov 2021 13:52:25 +0100 Subject: [PATCH 08/12] Add `beat` field back to beat.stats (#29094) --- metricbeat/docs/fields.asciidoc | 36 +++++++++++++++++++ metricbeat/module/beat/fields.go | 2 +- metricbeat/module/beat/stats/_meta/fields.yml | 13 +++++++ .../system => module/beat}/test_beat.py | 0 4 files changed, 50 insertions(+), 1 deletion(-) rename metricbeat/{tests/system => module/beat}/test_beat.py (100%) diff --git a/metricbeat/docs/fields.asciidoc b/metricbeat/docs/fields.asciidoc index c68ea577da3..c1e7087125c 100644 --- a/metricbeat/docs/fields.asciidoc +++ b/metricbeat/docs/fields.asciidoc @@ -8309,6 +8309,42 @@ type: keyword -- +*`beat.stats.beat.name`*:: ++ +-- +type: keyword + +-- + +*`beat.stats.beat.host`*:: ++ +-- +type: keyword + +-- + +*`beat.stats.beat.type`*:: ++ +-- +type: keyword + +-- + +*`beat.stats.beat.uuid`*:: ++ +-- +type: keyword + +-- + +*`beat.stats.beat.version`*:: ++ +-- +type: keyword + +-- + + *`beat.stats.system.cpu.cores`*:: + -- diff --git a/metricbeat/module/beat/fields.go b/metricbeat/module/beat/fields.go index b8ee153217a..03105135aaa 100644 --- a/metricbeat/module/beat/fields.go +++ b/metricbeat/module/beat/fields.go @@ -32,5 +32,5 @@ func init() { // AssetBeat returns asset data. // This is the base64 encoded zlib format compressed contents of module/beat. func AssetBeat() string { - return "eJzsXU1v5LgRvftXED5nBOxhLz4kQZAE2EsCBAvkEAQGrWZ3E5ZIDUl54v31gaRutT5YrJJEqnt3x5cZjEfvPRbJYvGzvrB38fnC3gR3T4w56Qrxwp7/Irh7fmLsIGxuZOWkVi/sj0+MMdb8ipX6UBfiiTEjCsGteGEn/sSYFc5JdbIv7D/P1hbPf2DPZ+eq5/82vztr415zrY7y9MKOvLDN90cpioN9aZG/MMVL0Wmxr9ZxZ9t/Z8x9Vg2F0XV1+Zfhd8NveVV+scJ8CNP/yve5D2IIUxmdC2u1Gf0WQoLQhoi24ipzhit71KbkjUXt7D9fCXghue+3FXfnzj5Za56MV+VrV9ysl5yRqK66hDGzUoZLGirttMS+QuDFpBe1VZ/BTL0Wx/N3Z3gudlKE8F11HQ0vd5IUoLqqwZtnfFkUzqu+g8j1QapT9+k++iicM325rpXbVx5MeVX3wQt5aK28p/1orB6N+9kQJR31D543//NX6zEHZXgovznS9UjecyiM6kO7/76nMpT2Pj5+JvEhPf1Q5cP6e6/Ix/P6Q5kP7fsBoeERwOra5KLkPg+/3f+33MIXjccseF+GLMR3n5540/aw/dAj8fF64U3kQ/dBr8xwDyyFMzJP0v32HRq7gqwaFYPKIAtgVmDTRQGoeDQjLDYEzdFMnOWdJC7p8L/JyqL6s7tWV9CnjPrUbAxcv853EMeCO5EoPlBOKPelEOrkzkn808Uc2aUYGYGSUsOxRYVGiNMvMlV4tpv5mzI8lu0vikKGr1Wuy8oIa8Xh114Bw7I8VkVMlIUqxAg+d20szlKV/MXn4+IVs9OegTz7GfyiBAlLpbVSnb6MmwoYKKzf5rmqIhP2NTbdFWObxjkjvtbCugQlvPwRJhi4hLw2RiiXfePSZWXcTbXLHwSWm11spZVNFQCkauy90Tv11Ag3eXCr35PGjNNit4XKAqT9PnOei8p5x7nU6lDq/UJuv0C87RDWQGI0nv0N0BUsuHYyWG/QuuDmBI2jSRWi3JOJ7F1Eoty90+VOFLKUd6lsnPwq82st6rsYMkzcd5dC+yP35PoQ5n6/T5s3eTgIaE0lqUacfBaT5J/3cT44/W3Kxmt31kb+cp+KJ/FfxUrlhFG8uIdQlHu8nnQPiQjzYAH9rO9S2R7mWzhVBgN+WFNIRxh1zO2N2h9xejSUS5wk1cqKhCL88FgQFok8XHJokrJ9Kqa0K/VBHiXouLZNyEaF7OJqjDL9LNEjCg/2wdlUdC0AE3HOFl0OyIdOg7Y3TyR0jlhWSqxOHMHjqwoSUsLy+JJgtp37LzpXJYU08QUF6Igz5/iagoSDYPqDy4K/FfsJwzipU6f4ysKMpGg0vqgA3WBgP+pa7acpSHjznK2D/VoLA83qUnhPhJS6/hJfWpiRtKKRwJXCdAsm3EmcxJx0eNvqacq+5K7UWdsN0zWpjjqbQfSdkZf+ORkdewbRDyKf1VbsGURfzfVs2rEUewbRh3bC2Pm5oqXwU5Tx+Tq7qUXYT+tEGW0unVd1lmvjPXi/cBbZKctgxCtnofkh+yEaIQA3YvsxLtscbly2yHQevBGf0mbaIliUmc7zD8/xHOmwRI1ibxMYcv+YlNxXRwP2pOQ/ert2Id8mAwbb1LcrWYlCqkTb5YUUykU8yHspfXZVnYUYRtPLjOfvMUf8mRKMpV9z+BDI5DLGzivPnfxIsAo+K3ZbHJshfP1M1uiqSrHTAenCCPvpGZfFnroQvl6WLJwwuwrDGHvHUb8V0p731IZT3lb/HThNSyAsTHdbNHEp9s4gUX66flG4dlUNbwts8fod/w4uDnbobLs5OwPd/FuIbC+vO9VE8rlv3OVn8JZudFUY3W5DwVgWdSA41FUhc57kZBmg7MqI2yz1KDUWRhyjnNYlVwm97VgVRreTt52KgsiGR8Gzt0+4ljfEoBctCMVISexLkD4phOuOniWgeCJA8Cv7NyOdSFwpGMdYS+JqCZIMTk8dpe+K4/bIoHu1KjO1UtgtylXF7KQH8SdSrOMmxQT1oiQAPxOiq5Q6pujA6jPbtJjQLmyK6ixKYXjxGjj5QV7iwiFH5HXlZCmi3EJA8PrVd64ORWBpdEt/aTdYsjM3ERcuLnozBHsswepjxK2lsQQQu5+qVDF3Ta/kXtTbInw5fP5uTrmlVk/5qxL/i2jPq9oshDwomjafr7wotO8W/1YJHXwGw090hMK0CDoIgZmN6HZ7eh9qP8BCjSfCgmtVJ593g5eO2PqoujNJuy0UgO9LebRZJYzUh6xOMK8diKExDXV9rbXje8hCifrNQMCRjeWEWgYjtI4hY2exECcjm4Ehpuj+gcLYzznORjtXiAPpq7g6l3HPFYOPoqQVizyLklc1z3MHd90VnvSmJgQ9VdC6e9hK23UECcZDWwpzhJEH/JfYKvLcdqyCQjOUVFt+ij7dnksK0YTHyQi38rtNXCfz95hlbLokhjyTAE2DYoiAsUfLb9kHL2Ke7G00YMBjAQlqAgOeCkhQDzh0fw7KCpPCCAjuhD6BCUbIT2yyotG9Xn5tIPN+Db1eftezeCJr/5rkLN4FO8lZvAt2krN4F+xUZ/Eu8NBZvKZ9WcfLatYmptgd7vOf+y+eZ2DDFslWNS5/FUZsBWDrXbMYyE1+lk7krjbw6aLwalyjJwviDJV7LLOICMQIdMBFBEFwnWaxqSq4O/qP/uHama8JtUXRNgsih/tnBHYf8G0luKo3XmMVGQQyJlGe96gXk8xBJpsDG4sCokxoNhYGRBmfOdnowSCQ3s0K8yHzeBeJt29iiOyiyTdvi+BbPERBTwP3yZVsQ0BPJDW3vSerDRyTjYzWYb2Lz296tHHhRex+2nw5P/01m4/u44BlLXTz3RycNtpj2FOUcbaf60/wKsB+3WFuuvGnwSaOfYw1Wt/3I1cdzQLh+/SF9mw8Dy0AD/OhIkTdpvWEeWEV0zKs/hg4kkH72DOPoH+8pf3kRW2dMPNZCOXjqDF1rpXjUgno+hrNFolCzXdhlAjv5UHKGN7AloGQwl4KECWADVV/yRU/iVIolwnF3+YH6jqIN60Lwac0geGh+fnJslwoZ3gxoGEXmj+tCyilcuI0e6YSEfKPunwThunjBd8yX1nJ0WbInlgM6a9TTD8vRaO+A2e1FQf29tkOwV4R3V2PNBpabPYmpDr5hUD7eusjDLspwrjdfY3m5qDsf2HUEPLIcLRMgCw8pg8RoRx+uF5M81Q3vpELimXjtoOklVoIGMwEtRCLVjULQanZDdaB0h66JGHSX/ZfC7tR7KiawGRs7HvTX4FFSF62BvF7Z3r0zhTKa8WidqVwjiuCZPa9ISRsCGB6JRa1FSR1CyhazMNmaHUSC8EISzwLIeet5PdqGTDS92f/YVHifDgTEI6PcbDJogyaFYUtazKRvAmQiof9XsqPZMRhvxc7gIloWNwwHU5KQxDL4pd7YVYYBHm4p5LIZ2HPFi8oOykzywK8QGIVvOxY+Vm8umfTkXfXQTeYL4WofohHyHOyAjVygEMMqWPaOVIJ2OjAJpoOZAUqIX/HClRKwo0VsFiCjBWQaFKLFZiUPBRrpJLyRqwAJmZ5WIFMSMmwAhXNobACE017gGDeHGI4U8EimISpwqKO5JshoAwECyD2yTeGP+tPkMzSRBOEXGgkHHLuMtrGUziui1Ep5BxUpOKT08iQ0Gg5nfZuKsQsNLQlfGqaMhIa/kj6QkB6UigSHDE9DgkLeUp8IRrhCfCFiPS0abT2S8sfRm0m9MRUM8SbyY76yffFmlMBm06ebTrz9us8trb7K9DBgKvQPE0iIOz94YOuseQM6DPCFIztEMATzSzqWA6bi6SV0cy2HGsd1KBxRmvoyFVbygIhdk+WgBG+50oG2FAK7JYpASJ4TZT+/UIFSUYf0rNW6FiAPk8FFsb7aswmb57EG1NeTKFOe/FXTohIyLyVcg449IpKPOeMvwqyZN6w4LGRVbBrzw0M2iD8uAetQxHe5SAI6V6PSNIfIjS9Jc95EM6X0B/iAH0R8Dzaem8EP1xGrj3wyTE6AvRYGAHB/4oYYkb/04HrrQg8lEcJzkOPAZK/B17yQ6wAjYkgLXKQvj3W3oF6+UytWsKTNrp2UgEVsJz4dgviBs0ub5EyqeDrBEtzeiA6/t42E5brstSKOc14UbTk04I+fG4Q1JtRU3vgC6l7vVlPeiCetsRIfECdtohHe1mchkVNWkFCo+eZoC25kTJDENdlKS+MhyOgdG8tUx5Ztmdtwq+FEt5HpoBgbxv7MfpxbV2uCsRNNj//7C58QcE9xc7A2iAjhXgkkc3Pz5/V4IZaSldGFPS3huV6mBxii5vKA9lqJgpno5G6M1YjQOlvhTic4mX5SCG3ow5X8U0oNfNHMsOiCqKOZduawOIEIXe0q6WkKYk5tG8TGzmRSAqlTmvWkFO71oaxf5XSnxs+piaWDQcAwrvhwmKOAv8S/BBcGqOOAKHFCJa05lvmkLEWH3NMobLRF+K/SmwzfKSu9X83JL+Jam/M5QInFx6g5tsanQoI/eX/AQAA//95+27i" + return "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" } diff --git a/metricbeat/module/beat/stats/_meta/fields.yml b/metricbeat/module/beat/stats/_meta/fields.yml index 19c0f75d715..56b598c7d05 100644 --- a/metricbeat/module/beat/stats/_meta/fields.yml +++ b/metricbeat/module/beat/stats/_meta/fields.yml @@ -232,6 +232,19 @@ type: keyword - name: version type: keyword + - name: beat + type: group + fields: + - name: name + type: keyword + - name: host + type: keyword + - name: type + type: keyword + - name: uuid + type: keyword + - name: version + type: keyword - name: system type: group fields: diff --git a/metricbeat/tests/system/test_beat.py b/metricbeat/module/beat/test_beat.py similarity index 100% rename from metricbeat/tests/system/test_beat.py rename to metricbeat/module/beat/test_beat.py From 260509fe607b8be017c0e1513b4ff1b6bb00ae47 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?No=C3=A9mi=20V=C3=A1nyi?= Date: Tue, 23 Nov 2021 17:37:18 +0100 Subject: [PATCH 09/12] Remove deprecated spool queue from Beats (#28869) --- CHANGELOG-developer.next.asciidoc | 1 + NOTICE.txt | 844 ------------------ auditbeat/auditbeat.reference.yml | 60 -- filebeat/filebeat.reference.yml | 60 -- go.mod | 3 - go.sum | 11 - heartbeat/heartbeat.reference.yml | 60 -- journalbeat/journalbeat.reference.yml | 60 -- .../_meta/config/general.reference.yml.tmpl | 60 -- libbeat/docs/queueconfig.asciidoc | 163 ---- libbeat/publisher/includes/includes.go | 1 - .../stress/configs/pipeline/small_spool.yml | 11 - .../publisher/pipeline/stress/stress_test.go | 1 - libbeat/publisher/queue/spool/codec.go | 203 ----- libbeat/publisher/queue/spool/codec_test.go | 76 -- libbeat/publisher/queue/spool/config.go | 129 --- libbeat/publisher/queue/spool/consume.go | 139 --- libbeat/publisher/queue/spool/inbroker.go | 550 ------------ libbeat/publisher/queue/spool/internal_api.go | 61 -- libbeat/publisher/queue/spool/log.go | 71 -- libbeat/publisher/queue/spool/module.go | 80 -- libbeat/publisher/queue/spool/outbroker.go | 536 ----------- libbeat/publisher/queue/spool/produce.go | 203 ----- libbeat/publisher/queue/spool/spool.go | 250 ------ libbeat/publisher/queue/spool/spool_test.go | 159 ---- libbeat/publisher/queue/spool/timer.go | 72 -- libbeat/scripts/cmd/stress_pipeline/main.go | 1 - metricbeat/metricbeat.reference.yml | 60 -- packetbeat/packetbeat.reference.yml | 60 -- winlogbeat/winlogbeat.reference.yml | 60 -- x-pack/auditbeat/auditbeat.reference.yml | 60 -- x-pack/dockerlogbeat/main.go | 1 - x-pack/filebeat/filebeat.reference.yml | 60 -- .../functionbeat/functionbeat.reference.yml | 60 -- x-pack/heartbeat/heartbeat.reference.yml | 60 -- x-pack/metricbeat/metricbeat.reference.yml | 60 -- x-pack/osquerybeat/osquerybeat.reference.yml | 60 -- x-pack/packetbeat/packetbeat.reference.yml | 60 -- x-pack/winlogbeat/winlogbeat.reference.yml | 60 -- 39 files changed, 1 insertion(+), 4525 deletions(-) delete mode 100644 libbeat/publisher/pipeline/stress/configs/pipeline/small_spool.yml delete mode 100644 libbeat/publisher/queue/spool/codec.go delete mode 100644 libbeat/publisher/queue/spool/codec_test.go delete mode 100644 libbeat/publisher/queue/spool/config.go delete mode 100644 libbeat/publisher/queue/spool/consume.go delete mode 100644 libbeat/publisher/queue/spool/inbroker.go delete mode 100644 libbeat/publisher/queue/spool/internal_api.go delete mode 100644 libbeat/publisher/queue/spool/log.go delete mode 100644 libbeat/publisher/queue/spool/module.go delete mode 100644 libbeat/publisher/queue/spool/outbroker.go delete mode 100644 libbeat/publisher/queue/spool/produce.go delete mode 100644 libbeat/publisher/queue/spool/spool.go delete mode 100644 libbeat/publisher/queue/spool/spool_test.go delete mode 100644 libbeat/publisher/queue/spool/timer.go diff --git a/CHANGELOG-developer.next.asciidoc b/CHANGELOG-developer.next.asciidoc index 485f4d4152f..e640b5a0334 100644 --- a/CHANGELOG-developer.next.asciidoc +++ b/CHANGELOG-developer.next.asciidoc @@ -58,6 +58,7 @@ The list below covers the major changes between 7.0.0-rc2 and master only. - Removed the `common.Float` type. {issue}28279[28279] {pull}28280[28280] {pull}28376[28376] - Removed Beat generators. {pull}28816[28816] - libbeat.logp package forces ECS compliant logs. Logs are JSON formatted. Options to enable ECS/JSON have been removed. {issue}15544[15544] {pull}28573[28573] +- Removed deprecated disk spool from Beats. Use disk queue instead. {pull}28869[28869] ==== Bugfixes diff --git a/NOTICE.txt b/NOTICE.txt index d5599add95e..e4d0e19c26c 100644 --- a/NOTICE.txt +++ b/NOTICE.txt @@ -7641,217 +7641,6 @@ Contents of probable licence file $GOMODCACHE/github.com/elastic/go-sysinfo@v1.7 limitations under the License. --------------------------------------------------------------------------------- -Dependency : github.com/elastic/go-txfile -Version: v0.0.8 -Licence type (autodetected): Apache-2.0 --------------------------------------------------------------------------------- - -Contents of probable licence file $GOMODCACHE/github.com/elastic/go-txfile@v0.0.8/LICENSE: - - Apache License - Version 2.0, January 2004 - http://www.apache.org/licenses/ - - TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION - - 1. Definitions. - - "License" shall mean the terms and conditions for use, reproduction, - and distribution as defined by Sections 1 through 9 of this document. - - "Licensor" shall mean the copyright owner or entity authorized by - the copyright owner that is granting the License. - - "Legal Entity" shall mean the union of the acting entity and all - other entities that control, are controlled by, or are under common - control with that entity. For the purposes of this definition, - "control" means (i) the power, direct or indirect, to cause the - direction or management of such entity, whether by contract or - otherwise, or (ii) ownership of fifty percent (50%) or more of the - outstanding shares, or (iii) beneficial ownership of such entity. - - "You" (or "Your") shall mean an individual or Legal Entity - exercising permissions granted by this License. - - "Source" form shall mean the preferred form for making modifications, - including but not limited to software source code, documentation - source, and configuration files. - - "Object" form shall mean any form resulting from mechanical - transformation or translation of a Source form, including but - not limited to compiled object code, generated documentation, - and conversions to other media types. - - "Work" shall mean the work of authorship, whether in Source or - Object form, made available under the License, as indicated by a - copyright notice that is included in or attached to the work - (an example is provided in the Appendix below). - - "Derivative Works" shall mean any work, whether in Source or Object - form, that is based on (or derived from) the Work and for which the - editorial revisions, annotations, elaborations, or other modifications - represent, as a whole, an original work of authorship. For the purposes - of this License, Derivative Works shall not include works that remain - separable from, or merely link (or bind by name) to the interfaces of, - the Work and Derivative Works thereof. - - "Contribution" shall mean any work of authorship, including - the original version of the Work and any modifications or additions - to that Work or Derivative Works thereof, that is intentionally - submitted to Licensor for inclusion in the Work by the copyright owner - or by an individual or Legal Entity authorized to submit on behalf of - the copyright owner. For the purposes of this definition, "submitted" - means any form of electronic, verbal, or written communication sent - to the Licensor or its representatives, including but not limited to - communication on electronic mailing lists, source code control systems, - and issue tracking systems that are managed by, or on behalf of, the - Licensor for the purpose of discussing and improving the Work, but - excluding communication that is conspicuously marked or otherwise - designated in writing by the copyright owner as "Not a Contribution." - - "Contributor" shall mean Licensor and any individual or Legal Entity - on behalf of whom a Contribution has been received by Licensor and - subsequently incorporated within the Work. - - 2. Grant of Copyright License. Subject to the terms and conditions of - this License, each Contributor hereby grants to You a perpetual, - worldwide, non-exclusive, no-charge, royalty-free, irrevocable - copyright license to reproduce, prepare Derivative Works of, - publicly display, publicly perform, sublicense, and distribute the - Work and such Derivative Works in Source or Object form. - - 3. Grant of Patent License. Subject to the terms and conditions of - this License, each Contributor hereby grants to You a perpetual, - worldwide, non-exclusive, no-charge, royalty-free, irrevocable - (except as stated in this section) patent license to make, have made, - use, offer to sell, sell, import, and otherwise transfer the Work, - where such license applies only to those patent claims licensable - by such Contributor that are necessarily infringed by their - Contribution(s) alone or by combination of their Contribution(s) - with the Work to which such Contribution(s) was submitted. If You - institute patent litigation against any entity (including a - cross-claim or counterclaim in a lawsuit) alleging that the Work - or a Contribution incorporated within the Work constitutes direct - or contributory patent infringement, then any patent licenses - granted to You under this License for that Work shall terminate - as of the date such litigation is filed. - - 4. Redistribution. You may reproduce and distribute copies of the - Work or Derivative Works thereof in any medium, with or without - modifications, and in Source or Object form, provided that You - meet the following conditions: - - (a) You must give any other recipients of the Work or - Derivative Works a copy of this License; and - - (b) You must cause any modified files to carry prominent notices - stating that You changed the files; and - - (c) You must retain, in the Source form of any Derivative Works - that You distribute, all copyright, patent, trademark, and - attribution notices from the Source form of the Work, - excluding those notices that do not pertain to any part of - the Derivative Works; and - - (d) If the Work includes a "NOTICE" text file as part of its - distribution, then any Derivative Works that You distribute must - include a readable copy of the attribution notices contained - within such NOTICE file, excluding those notices that do not - pertain to any part of the Derivative Works, in at least one - of the following places: within a NOTICE text file distributed - as part of the Derivative Works; within the Source form or - documentation, if provided along with the Derivative Works; or, - within a display generated by the Derivative Works, if and - wherever such third-party notices normally appear. The contents - of the NOTICE file are for informational purposes only and - do not modify the License. You may add Your own attribution - notices within Derivative Works that You distribute, alongside - or as an addendum to the NOTICE text from the Work, provided - that such additional attribution notices cannot be construed - as modifying the License. - - You may add Your own copyright statement to Your modifications and - may provide additional or different license terms and conditions - for use, reproduction, or distribution of Your modifications, or - for any such Derivative Works as a whole, provided Your use, - reproduction, and distribution of the Work otherwise complies with - the conditions stated in this License. - - 5. Submission of Contributions. Unless You explicitly state otherwise, - any Contribution intentionally submitted for inclusion in the Work - by You to the Licensor shall be under the terms and conditions of - this License, without any additional terms or conditions. - Notwithstanding the above, nothing herein shall supersede or modify - the terms of any separate license agreement you may have executed - with Licensor regarding such Contributions. - - 6. Trademarks. This License does not grant permission to use the trade - names, trademarks, service marks, or product names of the Licensor, - except as required for reasonable and customary use in describing the - origin of the Work and reproducing the content of the NOTICE file. - - 7. Disclaimer of Warranty. Unless required by applicable law or - agreed to in writing, Licensor provides the Work (and each - Contributor provides its Contributions) on an "AS IS" BASIS, - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or - implied, including, without limitation, any warranties or conditions - of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A - PARTICULAR PURPOSE. You are solely responsible for determining the - appropriateness of using or redistributing the Work and assume any - risks associated with Your exercise of permissions under this License. - - 8. Limitation of Liability. In no event and under no legal theory, - whether in tort (including negligence), contract, or otherwise, - unless required by applicable law (such as deliberate and grossly - negligent acts) or agreed to in writing, shall any Contributor be - liable to You for damages, including any direct, indirect, special, - incidental, or consequential damages of any character arising as a - result of this License or out of the use or inability to use the - Work (including but not limited to damages for loss of goodwill, - work stoppage, computer failure or malfunction, or any and all - other commercial damages or losses), even if such Contributor - has been advised of the possibility of such damages. - - 9. Accepting Warranty or Additional Liability. While redistributing - the Work or Derivative Works thereof, You may choose to offer, - and charge a fee for, acceptance of support, warranty, indemnity, - or other liability obligations and/or rights consistent with this - License. However, in accepting such obligations, You may act only - on Your own behalf and on Your sole responsibility, not on behalf - of any other Contributor, and only if You agree to indemnify, - defend, and hold each Contributor harmless for any liability - incurred by, or claims asserted against, such Contributor by reason - of your accepting any such warranty or additional liability. - - END OF TERMS AND CONDITIONS - - APPENDIX: How to apply the Apache License to your work. - - To apply the Apache License to your work, attach the following - boilerplate notice, with the fields enclosed by brackets "[]" - replaced with your own identifying information. (Don't include - the brackets!) The text should be enclosed in the appropriate - comment syntax for the file format. We also recommend that a - file or class name and description of purpose be included on the - same "printed page" as the copyright notice for easier - identification within third-party archives. - - Copyright [yyyy] [name of copyright owner] - - Licensed under the Apache License, Version 2.0 (the "License"); - you may not use this file except in compliance with the License. - You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - - Unless required by applicable law or agreed to in writing, software - distributed under the License is distributed on an "AS IS" BASIS, - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - See the License for the specific language governing permissions and - limitations under the License. - - -------------------------------------------------------------------------------- Dependency : github.com/elastic/go-ucfg Version: v0.8.3 @@ -33854,639 +33643,6 @@ Contents of probable licence file $GOMODCACHE/github.com/urso/diag@v0.0.0-202002 limitations under the License. --------------------------------------------------------------------------------- -Dependency : github.com/urso/go-bin -Version: v0.0.0-20180220135811-781c575c9f0e -Licence type (autodetected): Apache-2.0 --------------------------------------------------------------------------------- - -Contents of probable licence file $GOMODCACHE/github.com/urso/go-bin@v0.0.0-20180220135811-781c575c9f0e/LICENSE: - - Apache License - Version 2.0, January 2004 - http://www.apache.org/licenses/ - - TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION - - 1. Definitions. - - "License" shall mean the terms and conditions for use, reproduction, - and distribution as defined by Sections 1 through 9 of this document. - - "Licensor" shall mean the copyright owner or entity authorized by - the copyright owner that is granting the License. - - "Legal Entity" shall mean the union of the acting entity and all - other entities that control, are controlled by, or are under common - control with that entity. For the purposes of this definition, - "control" means (i) the power, direct or indirect, to cause the - direction or management of such entity, whether by contract or - otherwise, or (ii) ownership of fifty percent (50%) or more of the - outstanding shares, or (iii) beneficial ownership of such entity. - - "You" (or "Your") shall mean an individual or Legal Entity - exercising permissions granted by this License. - - "Source" form shall mean the preferred form for making modifications, - including but not limited to software source code, documentation - source, and configuration files. - - "Object" form shall mean any form resulting from mechanical - transformation or translation of a Source form, including but - not limited to compiled object code, generated documentation, - and conversions to other media types. - - "Work" shall mean the work of authorship, whether in Source or - Object form, made available under the License, as indicated by a - copyright notice that is included in or attached to the work - (an example is provided in the Appendix below). - - "Derivative Works" shall mean any work, whether in Source or Object - form, that is based on (or derived from) the Work and for which the - editorial revisions, annotations, elaborations, or other modifications - represent, as a whole, an original work of authorship. For the purposes - of this License, Derivative Works shall not include works that remain - separable from, or merely link (or bind by name) to the interfaces of, - the Work and Derivative Works thereof. - - "Contribution" shall mean any work of authorship, including - the original version of the Work and any modifications or additions - to that Work or Derivative Works thereof, that is intentionally - submitted to Licensor for inclusion in the Work by the copyright owner - or by an individual or Legal Entity authorized to submit on behalf of - the copyright owner. For the purposes of this definition, "submitted" - means any form of electronic, verbal, or written communication sent - to the Licensor or its representatives, including but not limited to - communication on electronic mailing lists, source code control systems, - and issue tracking systems that are managed by, or on behalf of, the - Licensor for the purpose of discussing and improving the Work, but - excluding communication that is conspicuously marked or otherwise - designated in writing by the copyright owner as "Not a Contribution." - - "Contributor" shall mean Licensor and any individual or Legal Entity - on behalf of whom a Contribution has been received by Licensor and - subsequently incorporated within the Work. - - 2. Grant of Copyright License. Subject to the terms and conditions of - this License, each Contributor hereby grants to You a perpetual, - worldwide, non-exclusive, no-charge, royalty-free, irrevocable - copyright license to reproduce, prepare Derivative Works of, - publicly display, publicly perform, sublicense, and distribute the - Work and such Derivative Works in Source or Object form. - - 3. Grant of Patent License. Subject to the terms and conditions of - this License, each Contributor hereby grants to You a perpetual, - worldwide, non-exclusive, no-charge, royalty-free, irrevocable - (except as stated in this section) patent license to make, have made, - use, offer to sell, sell, import, and otherwise transfer the Work, - where such license applies only to those patent claims licensable - by such Contributor that are necessarily infringed by their - Contribution(s) alone or by combination of their Contribution(s) - with the Work to which such Contribution(s) was submitted. If You - institute patent litigation against any entity (including a - cross-claim or counterclaim in a lawsuit) alleging that the Work - or a Contribution incorporated within the Work constitutes direct - or contributory patent infringement, then any patent licenses - granted to You under this License for that Work shall terminate - as of the date such litigation is filed. - - 4. Redistribution. You may reproduce and distribute copies of the - Work or Derivative Works thereof in any medium, with or without - modifications, and in Source or Object form, provided that You - meet the following conditions: - - (a) You must give any other recipients of the Work or - Derivative Works a copy of this License; and - - (b) You must cause any modified files to carry prominent notices - stating that You changed the files; and - - (c) You must retain, in the Source form of any Derivative Works - that You distribute, all copyright, patent, trademark, and - attribution notices from the Source form of the Work, - excluding those notices that do not pertain to any part of - the Derivative Works; and - - (d) If the Work includes a "NOTICE" text file as part of its - distribution, then any Derivative Works that You distribute must - include a readable copy of the attribution notices contained - within such NOTICE file, excluding those notices that do not - pertain to any part of the Derivative Works, in at least one - of the following places: within a NOTICE text file distributed - as part of the Derivative Works; within the Source form or - documentation, if provided along with the Derivative Works; or, - within a display generated by the Derivative Works, if and - wherever such third-party notices normally appear. The contents - of the NOTICE file are for informational purposes only and - do not modify the License. You may add Your own attribution - notices within Derivative Works that You distribute, alongside - or as an addendum to the NOTICE text from the Work, provided - that such additional attribution notices cannot be construed - as modifying the License. - - You may add Your own copyright statement to Your modifications and - may provide additional or different license terms and conditions - for use, reproduction, or distribution of Your modifications, or - for any such Derivative Works as a whole, provided Your use, - reproduction, and distribution of the Work otherwise complies with - the conditions stated in this License. - - 5. Submission of Contributions. Unless You explicitly state otherwise, - any Contribution intentionally submitted for inclusion in the Work - by You to the Licensor shall be under the terms and conditions of - this License, without any additional terms or conditions. - Notwithstanding the above, nothing herein shall supersede or modify - the terms of any separate license agreement you may have executed - with Licensor regarding such Contributions. - - 6. Trademarks. This License does not grant permission to use the trade - names, trademarks, service marks, or product names of the Licensor, - except as required for reasonable and customary use in describing the - origin of the Work and reproducing the content of the NOTICE file. - - 7. Disclaimer of Warranty. Unless required by applicable law or - agreed to in writing, Licensor provides the Work (and each - Contributor provides its Contributions) on an "AS IS" BASIS, - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or - implied, including, without limitation, any warranties or conditions - of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A - PARTICULAR PURPOSE. You are solely responsible for determining the - appropriateness of using or redistributing the Work and assume any - risks associated with Your exercise of permissions under this License. - - 8. Limitation of Liability. In no event and under no legal theory, - whether in tort (including negligence), contract, or otherwise, - unless required by applicable law (such as deliberate and grossly - negligent acts) or agreed to in writing, shall any Contributor be - liable to You for damages, including any direct, indirect, special, - incidental, or consequential damages of any character arising as a - result of this License or out of the use or inability to use the - Work (including but not limited to damages for loss of goodwill, - work stoppage, computer failure or malfunction, or any and all - other commercial damages or losses), even if such Contributor - has been advised of the possibility of such damages. - - 9. Accepting Warranty or Additional Liability. While redistributing - the Work or Derivative Works thereof, You may choose to offer, - and charge a fee for, acceptance of support, warranty, indemnity, - or other liability obligations and/or rights consistent with this - License. However, in accepting such obligations, You may act only - on Your own behalf and on Your sole responsibility, not on behalf - of any other Contributor, and only if You agree to indemnify, - defend, and hold each Contributor harmless for any liability - incurred by, or claims asserted against, such Contributor by reason - of your accepting any such warranty or additional liability. - - END OF TERMS AND CONDITIONS - - APPENDIX: How to apply the Apache License to your work. - - To apply the Apache License to your work, attach the following - boilerplate notice, with the fields enclosed by brackets "[]" - replaced with your own identifying information. (Don't include - the brackets!) The text should be enclosed in the appropriate - comment syntax for the file format. We also recommend that a - file or class name and description of purpose be included on the - same "printed page" as the copyright notice for easier - identification within third-party archives. - - Copyright [yyyy] [name of copyright owner] - - Licensed under the Apache License, Version 2.0 (the "License"); - you may not use this file except in compliance with the License. - You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - - Unless required by applicable law or agreed to in writing, software - distributed under the License is distributed on an "AS IS" BASIS, - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - See the License for the specific language governing permissions and - limitations under the License. - - --------------------------------------------------------------------------------- -Dependency : github.com/urso/magetools -Version: v0.0.0-20200125210132-c2e338f92f3a -Licence type (autodetected): Apache-2.0 --------------------------------------------------------------------------------- - -Contents of probable licence file $GOMODCACHE/github.com/urso/magetools@v0.0.0-20200125210132-c2e338f92f3a/LICENSE: - - Apache License - Version 2.0, January 2004 - http://www.apache.org/licenses/ - - TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION - - 1. Definitions. - - "License" shall mean the terms and conditions for use, reproduction, - and distribution as defined by Sections 1 through 9 of this document. - - "Licensor" shall mean the copyright owner or entity authorized by - the copyright owner that is granting the License. - - "Legal Entity" shall mean the union of the acting entity and all - other entities that control, are controlled by, or are under common - control with that entity. For the purposes of this definition, - "control" means (i) the power, direct or indirect, to cause the - direction or management of such entity, whether by contract or - otherwise, or (ii) ownership of fifty percent (50%) or more of the - outstanding shares, or (iii) beneficial ownership of such entity. - - "You" (or "Your") shall mean an individual or Legal Entity - exercising permissions granted by this License. - - "Source" form shall mean the preferred form for making modifications, - including but not limited to software source code, documentation - source, and configuration files. - - "Object" form shall mean any form resulting from mechanical - transformation or translation of a Source form, including but - not limited to compiled object code, generated documentation, - and conversions to other media types. - - "Work" shall mean the work of authorship, whether in Source or - Object form, made available under the License, as indicated by a - copyright notice that is included in or attached to the work - (an example is provided in the Appendix below). - - "Derivative Works" shall mean any work, whether in Source or Object - form, that is based on (or derived from) the Work and for which the - editorial revisions, annotations, elaborations, or other modifications - represent, as a whole, an original work of authorship. For the purposes - of this License, Derivative Works shall not include works that remain - separable from, or merely link (or bind by name) to the interfaces of, - the Work and Derivative Works thereof. - - "Contribution" shall mean any work of authorship, including - the original version of the Work and any modifications or additions - to that Work or Derivative Works thereof, that is intentionally - submitted to Licensor for inclusion in the Work by the copyright owner - or by an individual or Legal Entity authorized to submit on behalf of - the copyright owner. For the purposes of this definition, "submitted" - means any form of electronic, verbal, or written communication sent - to the Licensor or its representatives, including but not limited to - communication on electronic mailing lists, source code control systems, - and issue tracking systems that are managed by, or on behalf of, the - Licensor for the purpose of discussing and improving the Work, but - excluding communication that is conspicuously marked or otherwise - designated in writing by the copyright owner as "Not a Contribution." - - "Contributor" shall mean Licensor and any individual or Legal Entity - on behalf of whom a Contribution has been received by Licensor and - subsequently incorporated within the Work. - - 2. Grant of Copyright License. Subject to the terms and conditions of - this License, each Contributor hereby grants to You a perpetual, - worldwide, non-exclusive, no-charge, royalty-free, irrevocable - copyright license to reproduce, prepare Derivative Works of, - publicly display, publicly perform, sublicense, and distribute the - Work and such Derivative Works in Source or Object form. - - 3. Grant of Patent License. Subject to the terms and conditions of - this License, each Contributor hereby grants to You a perpetual, - worldwide, non-exclusive, no-charge, royalty-free, irrevocable - (except as stated in this section) patent license to make, have made, - use, offer to sell, sell, import, and otherwise transfer the Work, - where such license applies only to those patent claims licensable - by such Contributor that are necessarily infringed by their - Contribution(s) alone or by combination of their Contribution(s) - with the Work to which such Contribution(s) was submitted. If You - institute patent litigation against any entity (including a - cross-claim or counterclaim in a lawsuit) alleging that the Work - or a Contribution incorporated within the Work constitutes direct - or contributory patent infringement, then any patent licenses - granted to You under this License for that Work shall terminate - as of the date such litigation is filed. - - 4. Redistribution. You may reproduce and distribute copies of the - Work or Derivative Works thereof in any medium, with or without - modifications, and in Source or Object form, provided that You - meet the following conditions: - - (a) You must give any other recipients of the Work or - Derivative Works a copy of this License; and - - (b) You must cause any modified files to carry prominent notices - stating that You changed the files; and - - (c) You must retain, in the Source form of any Derivative Works - that You distribute, all copyright, patent, trademark, and - attribution notices from the Source form of the Work, - excluding those notices that do not pertain to any part of - the Derivative Works; and - - (d) If the Work includes a "NOTICE" text file as part of its - distribution, then any Derivative Works that You distribute must - include a readable copy of the attribution notices contained - within such NOTICE file, excluding those notices that do not - pertain to any part of the Derivative Works, in at least one - of the following places: within a NOTICE text file distributed - as part of the Derivative Works; within the Source form or - documentation, if provided along with the Derivative Works; or, - within a display generated by the Derivative Works, if and - wherever such third-party notices normally appear. The contents - of the NOTICE file are for informational purposes only and - do not modify the License. You may add Your own attribution - notices within Derivative Works that You distribute, alongside - or as an addendum to the NOTICE text from the Work, provided - that such additional attribution notices cannot be construed - as modifying the License. - - You may add Your own copyright statement to Your modifications and - may provide additional or different license terms and conditions - for use, reproduction, or distribution of Your modifications, or - for any such Derivative Works as a whole, provided Your use, - reproduction, and distribution of the Work otherwise complies with - the conditions stated in this License. - - 5. Submission of Contributions. Unless You explicitly state otherwise, - any Contribution intentionally submitted for inclusion in the Work - by You to the Licensor shall be under the terms and conditions of - this License, without any additional terms or conditions. - Notwithstanding the above, nothing herein shall supersede or modify - the terms of any separate license agreement you may have executed - with Licensor regarding such Contributions. - - 6. Trademarks. This License does not grant permission to use the trade - names, trademarks, service marks, or product names of the Licensor, - except as required for reasonable and customary use in describing the - origin of the Work and reproducing the content of the NOTICE file. - - 7. Disclaimer of Warranty. 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In no event and under no legal theory, - whether in tort (including negligence), contract, or otherwise, - unless required by applicable law (such as deliberate and grossly - negligent acts) or agreed to in writing, shall any Contributor be - liable to You for damages, including any direct, indirect, special, - incidental, or consequential damages of any character arising as a - result of this License or out of the use or inability to use the - Work (including but not limited to damages for loss of goodwill, - work stoppage, computer failure or malfunction, or any and all - other commercial damages or losses), even if such Contributor - has been advised of the possibility of such damages. - - 9. Accepting Warranty or Additional Liability. While redistributing - the Work or Derivative Works thereof, You may choose to offer, - and charge a fee for, acceptance of support, warranty, indemnity, - or other liability obligations and/or rights consistent with this - License. However, in accepting such obligations, You may act only - on Your own behalf and on Your sole responsibility, not on behalf - of any other Contributor, and only if You agree to indemnify, - defend, and hold each Contributor harmless for any liability - incurred by, or claims asserted against, such Contributor by reason - of your accepting any such warranty or additional liability. - - END OF TERMS AND CONDITIONS - - APPENDIX: How to apply the Apache License to your work. - - To apply the Apache License to your work, attach the following - boilerplate notice, with the fields enclosed by brackets "[]" - replaced with your own identifying information. (Don't include - the brackets!) The text should be enclosed in the appropriate - comment syntax for the file format. We also recommend that a - file or class name and description of purpose be included on the - same "printed page" as the copyright notice for easier - identification within third-party archives. - - Copyright [yyyy] [name of copyright owner] - - Licensed under the Apache License, Version 2.0 (the "License"); - you may not use this file except in compliance with the License. - You may obtain a copy of the License at - - http://www.apache.org/licenses/LICENSE-2.0 - - Unless required by applicable law or agreed to in writing, software - distributed under the License is distributed on an "AS IS" BASIS, - WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. - See the License for the specific language governing permissions and - limitations under the License. - - -------------------------------------------------------------------------------- Dependency : github.com/xdg/stringprep Version: v1.0.3 diff --git a/auditbeat/auditbeat.reference.yml b/auditbeat/auditbeat.reference.yml index 1068dbd8082..24bfac14414 100644 --- a/auditbeat/auditbeat.reference.yml +++ b/auditbeat/auditbeat.reference.yml @@ -197,66 +197,6 @@ auditbeat.modules: # length of its retry interval each time, up to this maximum. #max_retry_interval: 30s - # The spool queue will store events in a local spool file, before - # forwarding the events to the outputs. - # Note: the spool queue is deprecated and will be removed in the future. - # Use the disk queue instead. - # - # The spool file is a circular buffer, which blocks once the file/buffer is full. - # Events are put into a write buffer and flushed once the write buffer - # is full or the flush_timeout is triggered. - # Once ACKed by the output, events are removed immediately from the queue, - # making space for new events to be persisted. - #spool: - # The file namespace configures the file path and the file creation settings. - # Once the file exists, the `size`, `page_size` and `prealloc` settings - # will have no more effect. - #file: - # Location of spool file. The default value is ${path.data}/spool.dat. - #path: "${path.data}/spool.dat" - - # Configure file permissions if file is created. The default value is 0600. - #permissions: 0600 - - # File size hint. The spool blocks, once this limit is reached. The default value is 100 MiB. - #size: 100MiB - - # The files page size. A file is split into multiple pages of the same size. The default value is 4KiB. - #page_size: 4KiB - - # If prealloc is set, the required space for the file is reserved using - # truncate. The default value is true. - #prealloc: true - - # Spool writer settings - # Events are serialized into a write buffer. The write buffer is flushed if: - # - The buffer limit has been reached. - # - The configured limit of buffered events is reached. - # - The flush timeout is triggered. - #write: - # Sets the write buffer size. - #buffer_size: 1MiB - - # Maximum duration after which events are flushed if the write buffer - # is not full yet. The default value is 1s. - #flush.timeout: 1s - - # Number of maximum buffered events. The write buffer is flushed once the - # limit is reached. - #flush.events: 16384 - - # Configure the on-disk event encoding. The encoding can be changed - # between restarts. - # Valid encodings are: json, ubjson, and cbor. - #codec: cbor - #read: - # Reader flush timeout, waiting for more events to become available, so - # to fill a complete batch as required by the outputs. - # If flush_timeout is 0, all available events are forwarded to the - # outputs immediately. - # The default value is 0s. - #flush.timeout: 0s - # Sets the maximum number of CPUs that can be executing simultaneously. The # default is the number of logical CPUs available in the system. #max_procs: diff --git a/filebeat/filebeat.reference.yml b/filebeat/filebeat.reference.yml index 0ae039ad589..45d679cc194 100644 --- a/filebeat/filebeat.reference.yml +++ b/filebeat/filebeat.reference.yml @@ -1111,66 +1111,6 @@ filebeat.inputs: # length of its retry interval each time, up to this maximum. #max_retry_interval: 30s - # The spool queue will store events in a local spool file, before - # forwarding the events to the outputs. - # Note: the spool queue is deprecated and will be removed in the future. - # Use the disk queue instead. - # - # The spool file is a circular buffer, which blocks once the file/buffer is full. - # Events are put into a write buffer and flushed once the write buffer - # is full or the flush_timeout is triggered. - # Once ACKed by the output, events are removed immediately from the queue, - # making space for new events to be persisted. - #spool: - # The file namespace configures the file path and the file creation settings. - # Once the file exists, the `size`, `page_size` and `prealloc` settings - # will have no more effect. - #file: - # Location of spool file. The default value is ${path.data}/spool.dat. - #path: "${path.data}/spool.dat" - - # Configure file permissions if file is created. The default value is 0600. - #permissions: 0600 - - # File size hint. The spool blocks, once this limit is reached. The default value is 100 MiB. - #size: 100MiB - - # The files page size. A file is split into multiple pages of the same size. The default value is 4KiB. - #page_size: 4KiB - - # If prealloc is set, the required space for the file is reserved using - # truncate. The default value is true. - #prealloc: true - - # Spool writer settings - # Events are serialized into a write buffer. The write buffer is flushed if: - # - The buffer limit has been reached. - # - The configured limit of buffered events is reached. - # - The flush timeout is triggered. - #write: - # Sets the write buffer size. - #buffer_size: 1MiB - - # Maximum duration after which events are flushed if the write buffer - # is not full yet. The default value is 1s. - #flush.timeout: 1s - - # Number of maximum buffered events. The write buffer is flushed once the - # limit is reached. - #flush.events: 16384 - - # Configure the on-disk event encoding. The encoding can be changed - # between restarts. - # Valid encodings are: json, ubjson, and cbor. - #codec: cbor - #read: - # Reader flush timeout, waiting for more events to become available, so - # to fill a complete batch as required by the outputs. - # If flush_timeout is 0, all available events are forwarded to the - # outputs immediately. - # The default value is 0s. - #flush.timeout: 0s - # Sets the maximum number of CPUs that can be executing simultaneously. The # default is the number of logical CPUs available in the system. #max_procs: diff --git a/go.mod b/go.mod index a06dd9e5d49..c47fcd15bc8 100644 --- a/go.mod +++ b/go.mod @@ -72,7 +72,6 @@ require ( github.com/elastic/go-seccomp-bpf v1.2.0 github.com/elastic/go-structform v0.0.9 github.com/elastic/go-sysinfo v1.7.1 - github.com/elastic/go-txfile v0.0.8 github.com/elastic/go-ucfg v0.8.3 github.com/elastic/go-windows v1.0.1 github.com/elastic/gosigar v0.14.2 @@ -151,7 +150,6 @@ require ( github.com/tsg/go-daemon v0.0.0-20200207173439-e704b93fd89b github.com/tsg/gopacket v0.0.0-20200626092518-2ab8e397a786 github.com/ugorji/go/codec v1.1.8 - github.com/urso/magetools v0.0.0-20200125210132-c2e338f92f3a // indirect github.com/urso/sderr v0.0.0-20210525210834-52b04e8f5c71 github.com/vmware/govmomi v0.0.0-20170802214208-2cad15190b41 github.com/xdg/scram v1.0.3 @@ -268,7 +266,6 @@ require ( github.com/sirupsen/logrus v1.8.1 // indirect github.com/stretchr/objx v0.2.0 // indirect github.com/urso/diag v0.0.0-20200210123136-21b3cc8eb797 // indirect - github.com/urso/go-bin v0.0.0-20180220135811-781c575c9f0e // indirect github.com/xdg/stringprep v1.0.3 // indirect go.elastic.co/fastjson v1.1.0 // indirect go.opencensus.io v0.23.0 // indirect diff --git a/go.sum b/go.sum index 4ae1569e4da..3ba3d94b54e 100644 --- a/go.sum +++ b/go.sum @@ -529,8 +529,6 @@ github.com/elastic/go-structform v0.0.9/go.mod h1:CZWf9aIRYY5SuKSmOhtXScE5uQiLZN github.com/elastic/go-sysinfo v1.1.1/go.mod h1:i1ZYdU10oLNfRzq4vq62BEwD2fH8KaWh6eh0ikPT9F0= github.com/elastic/go-sysinfo v1.7.1 h1:Wx4DSARcKLllpKT2TnFVdSUJOsybqMYCNQZq1/wO+s0= github.com/elastic/go-sysinfo v1.7.1/go.mod h1:i1ZYdU10oLNfRzq4vq62BEwD2fH8KaWh6eh0ikPT9F0= -github.com/elastic/go-txfile v0.0.8 h1:hqFMmLM+UCDMJeSyuCWe8YwS+HtoX7F+cz5fhPYRTn4= -github.com/elastic/go-txfile v0.0.8/go.mod h1:H0nCoFae0a4ga57apgxFsgmRjevNCsEaT6g56JoeKAE= github.com/elastic/go-ucfg v0.7.0/go.mod h1:iaiY0NBIYeasNgycLyTvhJftQlQEUO2hpF+FX0JKxzo= github.com/elastic/go-ucfg v0.8.3 h1:leywnFjzr2QneZZWhE6uWd+QN/UpP0sdJRHYyuFvkeo= github.com/elastic/go-ucfg v0.8.3/go.mod h1:iaiY0NBIYeasNgycLyTvhJftQlQEUO2hpF+FX0JKxzo= @@ -745,7 +743,6 @@ github.com/godbus/dbus/v5 v5.0.5 h1:9Eg0XUhQxtkV8ykTMKtMMYY72g4NgxtRq4jgh4Ih5YM= github.com/godbus/dbus/v5 v5.0.5/go.mod h1:xhWf0FNVPg57R7Z0UbKHbJfkEywrmjJnf7w5xrFpKfA= github.com/godror/godror v0.10.4 h1:44FcfzDPp/PJZzen5Hm59SZQBhgrbR6E1KwCjg6gnJo= github.com/godror/godror v0.10.4/go.mod h1:9MVLtu25FBJBMHkPs0m3Ngf/VmwGcLpM2HS8PlNGw9U= -github.com/gofrs/flock v0.7.1/go.mod h1:F1TvTiK9OcQqauNUHlbJvyl9Qa1QvF/gOUDKA14jxHU= github.com/gofrs/flock v0.8.1 h1:+gYjHKf32LDeiEEFhQaotPbLuUXjY5ZqxKgXy7n59aw= github.com/gofrs/flock v0.8.1/go.mod h1:F1TvTiK9OcQqauNUHlbJvyl9Qa1QvF/gOUDKA14jxHU= github.com/gofrs/uuid v3.3.0+incompatible/go.mod h1:b2aQJv3Z4Fp6yNu3cdSllBxTCLRxnplIgP/c0N/04lM= @@ -1520,13 +1517,6 @@ github.com/urfave/cli v1.22.1/go.mod h1:Gos4lmkARVdJ6EkW0WaNv/tZAAMe9V7XWyB60NtX github.com/urfave/cli v1.22.2/go.mod h1:Gos4lmkARVdJ6EkW0WaNv/tZAAMe9V7XWyB60NtXRu0= github.com/urso/diag v0.0.0-20200210123136-21b3cc8eb797 h1:OHNw/6pXODJAB32NujjdQO/KIYQ3KAbHQfCzH81XdCs= github.com/urso/diag v0.0.0-20200210123136-21b3cc8eb797/go.mod h1:pNWFTeQ+V1OYT/TzWpnWb6eQBdoXpdx+H+lrH97/Oyo= -github.com/urso/go-bin v0.0.0-20180220135811-781c575c9f0e h1:NiofbjIUI5gR+ybDsGSVH1fWyjSeDYiYVJHT1+kcsak= -github.com/urso/go-bin v0.0.0-20180220135811-781c575c9f0e/go.mod h1:6GfHrdWBQYjFRIznu7XuQH4lYB2w8nO4bnImVKkzPOM= -github.com/urso/magetools v0.0.0-20190919040553-290c89e0c230/go.mod h1:DFxTNgS/ExCGmmjVjSOgS2WjtfjKXgCyDzAFgbtovSA= -github.com/urso/magetools v0.0.0-20200125210132-c2e338f92f3a h1:jWAaRFnay3H2e6S0GGCl5nKrkgQNlarCE/kvcutzBmw= -github.com/urso/magetools v0.0.0-20200125210132-c2e338f92f3a/go.mod h1:DbaJnRzkGaWrMWm5Hz6QVnUj//x9/zjrfx8bF3J+GJY= -github.com/urso/qcgen v0.0.0-20180131103024-0b059e7db4f4 h1:hhA8EBThzz9PztawVTycKvfETVuBqxAQ5keFlAVtbAw= -github.com/urso/qcgen v0.0.0-20180131103024-0b059e7db4f4/go.mod h1:RspW+E2Yb7Fs7HclB2tiDaiu6Rp41BiIG4Wo1YaoXGc= github.com/urso/sderr v0.0.0-20210525210834-52b04e8f5c71 h1:CehQeKbysHV8J2V7AD0w8NL2x1h04kmmo/Ft5su4lU0= github.com/urso/sderr v0.0.0-20210525210834-52b04e8f5c71/go.mod h1:Wp40HwmjM59FkDIVFfcCb9LzBbnc0XAMp8++hJuWvSU= github.com/vbatts/tar-split v0.11.1/go.mod h1:LEuURwDEiWjRjwu46yU3KVGuUdVv/dcnpcEPSzR8z6g= @@ -1867,7 +1857,6 @@ golang.org/x/sys v0.0.0-20191204072324-ce4227a45e2e/go.mod h1:h1NjWce9XRLGQEsW7w golang.org/x/sys v0.0.0-20191210023423-ac6580df4449/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs= golang.org/x/sys v0.0.0-20191220142924-d4481acd189f/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs= golang.org/x/sys v0.0.0-20191228213918-04cbcbbfeed8/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs= -golang.org/x/sys v0.0.0-20200102141924-c96a22e43c9c/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs= golang.org/x/sys v0.0.0-20200106162015-b016eb3dc98e/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs= golang.org/x/sys v0.0.0-20200107162124-548cf772de50/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs= golang.org/x/sys v0.0.0-20200113162924-86b910548bc1/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs= diff --git a/heartbeat/heartbeat.reference.yml b/heartbeat/heartbeat.reference.yml index 6bac78d08c2..8f0f019626b 100644 --- a/heartbeat/heartbeat.reference.yml +++ b/heartbeat/heartbeat.reference.yml @@ -343,66 +343,6 @@ heartbeat.jobs: # length of its retry interval each time, up to this maximum. #max_retry_interval: 30s - # The spool queue will store events in a local spool file, before - # forwarding the events to the outputs. - # Note: the spool queue is deprecated and will be removed in the future. - # Use the disk queue instead. - # - # The spool file is a circular buffer, which blocks once the file/buffer is full. - # Events are put into a write buffer and flushed once the write buffer - # is full or the flush_timeout is triggered. - # Once ACKed by the output, events are removed immediately from the queue, - # making space for new events to be persisted. - #spool: - # The file namespace configures the file path and the file creation settings. - # Once the file exists, the `size`, `page_size` and `prealloc` settings - # will have no more effect. - #file: - # Location of spool file. The default value is ${path.data}/spool.dat. - #path: "${path.data}/spool.dat" - - # Configure file permissions if file is created. The default value is 0600. - #permissions: 0600 - - # File size hint. The spool blocks, once this limit is reached. The default value is 100 MiB. - #size: 100MiB - - # The files page size. A file is split into multiple pages of the same size. The default value is 4KiB. - #page_size: 4KiB - - # If prealloc is set, the required space for the file is reserved using - # truncate. The default value is true. - #prealloc: true - - # Spool writer settings - # Events are serialized into a write buffer. The write buffer is flushed if: - # - The buffer limit has been reached. - # - The configured limit of buffered events is reached. - # - The flush timeout is triggered. - #write: - # Sets the write buffer size. - #buffer_size: 1MiB - - # Maximum duration after which events are flushed if the write buffer - # is not full yet. The default value is 1s. - #flush.timeout: 1s - - # Number of maximum buffered events. The write buffer is flushed once the - # limit is reached. - #flush.events: 16384 - - # Configure the on-disk event encoding. The encoding can be changed - # between restarts. - # Valid encodings are: json, ubjson, and cbor. - #codec: cbor - #read: - # Reader flush timeout, waiting for more events to become available, so - # to fill a complete batch as required by the outputs. - # If flush_timeout is 0, all available events are forwarded to the - # outputs immediately. - # The default value is 0s. - #flush.timeout: 0s - # Sets the maximum number of CPUs that can be executing simultaneously. The # default is the number of logical CPUs available in the system. #max_procs: diff --git a/journalbeat/journalbeat.reference.yml b/journalbeat/journalbeat.reference.yml index 2170f2fcec4..19692cfec94 100644 --- a/journalbeat/journalbeat.reference.yml +++ b/journalbeat/journalbeat.reference.yml @@ -140,66 +140,6 @@ setup.template.settings: # length of its retry interval each time, up to this maximum. #max_retry_interval: 30s - # The spool queue will store events in a local spool file, before - # forwarding the events to the outputs. - # Note: the spool queue is deprecated and will be removed in the future. - # Use the disk queue instead. - # - # The spool file is a circular buffer, which blocks once the file/buffer is full. - # Events are put into a write buffer and flushed once the write buffer - # is full or the flush_timeout is triggered. - # Once ACKed by the output, events are removed immediately from the queue, - # making space for new events to be persisted. - #spool: - # The file namespace configures the file path and the file creation settings. - # Once the file exists, the `size`, `page_size` and `prealloc` settings - # will have no more effect. - #file: - # Location of spool file. The default value is ${path.data}/spool.dat. - #path: "${path.data}/spool.dat" - - # Configure file permissions if file is created. The default value is 0600. - #permissions: 0600 - - # File size hint. The spool blocks, once this limit is reached. The default value is 100 MiB. - #size: 100MiB - - # The files page size. A file is split into multiple pages of the same size. The default value is 4KiB. - #page_size: 4KiB - - # If prealloc is set, the required space for the file is reserved using - # truncate. The default value is true. - #prealloc: true - - # Spool writer settings - # Events are serialized into a write buffer. The write buffer is flushed if: - # - The buffer limit has been reached. - # - The configured limit of buffered events is reached. - # - The flush timeout is triggered. - #write: - # Sets the write buffer size. - #buffer_size: 1MiB - - # Maximum duration after which events are flushed if the write buffer - # is not full yet. The default value is 1s. - #flush.timeout: 1s - - # Number of maximum buffered events. The write buffer is flushed once the - # limit is reached. - #flush.events: 16384 - - # Configure the on-disk event encoding. The encoding can be changed - # between restarts. - # Valid encodings are: json, ubjson, and cbor. - #codec: cbor - #read: - # Reader flush timeout, waiting for more events to become available, so - # to fill a complete batch as required by the outputs. - # If flush_timeout is 0, all available events are forwarded to the - # outputs immediately. - # The default value is 0s. - #flush.timeout: 0s - # Sets the maximum number of CPUs that can be executing simultaneously. The # default is the number of logical CPUs available in the system. #max_procs: diff --git a/libbeat/_meta/config/general.reference.yml.tmpl b/libbeat/_meta/config/general.reference.yml.tmpl index 58a39af4b34..27118c979c9 100644 --- a/libbeat/_meta/config/general.reference.yml.tmpl +++ b/libbeat/_meta/config/general.reference.yml.tmpl @@ -77,66 +77,6 @@ # length of its retry interval each time, up to this maximum. #max_retry_interval: 30s - # The spool queue will store events in a local spool file, before - # forwarding the events to the outputs. - # Note: the spool queue is deprecated and will be removed in the future. - # Use the disk queue instead. - # - # The spool file is a circular buffer, which blocks once the file/buffer is full. - # Events are put into a write buffer and flushed once the write buffer - # is full or the flush_timeout is triggered. - # Once ACKed by the output, events are removed immediately from the queue, - # making space for new events to be persisted. - #spool: - # The file namespace configures the file path and the file creation settings. - # Once the file exists, the `size`, `page_size` and `prealloc` settings - # will have no more effect. - #file: - # Location of spool file. The default value is ${path.data}/spool.dat. - #path: "${path.data}/spool.dat" - - # Configure file permissions if file is created. The default value is 0600. - #permissions: 0600 - - # File size hint. The spool blocks, once this limit is reached. The default value is 100 MiB. - #size: 100MiB - - # The files page size. A file is split into multiple pages of the same size. The default value is 4KiB. - #page_size: 4KiB - - # If prealloc is set, the required space for the file is reserved using - # truncate. The default value is true. - #prealloc: true - - # Spool writer settings - # Events are serialized into a write buffer. The write buffer is flushed if: - # - The buffer limit has been reached. - # - The configured limit of buffered events is reached. - # - The flush timeout is triggered. - #write: - # Sets the write buffer size. - #buffer_size: 1MiB - - # Maximum duration after which events are flushed if the write buffer - # is not full yet. The default value is 1s. - #flush.timeout: 1s - - # Number of maximum buffered events. The write buffer is flushed once the - # limit is reached. - #flush.events: 16384 - - # Configure the on-disk event encoding. The encoding can be changed - # between restarts. - # Valid encodings are: json, ubjson, and cbor. - #codec: cbor - #read: - # Reader flush timeout, waiting for more events to become available, so - # to fill a complete batch as required by the outputs. - # If flush_timeout is 0, all available events are forwarded to the - # outputs immediately. - # The default value is 0s. - #flush.timeout: 0s - # Sets the maximum number of CPUs that can be executing simultaneously. The # default is the number of logical CPUs available in the system. #max_procs: diff --git a/libbeat/docs/queueconfig.asciidoc b/libbeat/docs/queueconfig.asciidoc index 054379e1b20..fb930831dac 100644 --- a/libbeat/docs/queueconfig.asciidoc +++ b/libbeat/docs/queueconfig.asciidoc @@ -196,166 +196,3 @@ too many errors or overloading the host system if the target disk becomes unavailable for an extended time. The default value is `30s` (thirty seconds). - - -[float] -[[configuration-internal-queue-spool]] -=== Configure the file spool queue - -beta[] - -NOTE: The file spool queue is a deprecated feature offered as-is for backwards compatibility. The supported way to queue events in persistent storage is the disk queue. - -The file spool queue stores all events in an on disk ring buffer. The spool -has a write buffer, which new events are written to. Events written to the -spool are forwarded to the outputs, only after the write buffer has been -flushed successfully. - -The spool waits for the output to acknowledge or drop events. If the spool is -full, no new events can be inserted. The spool will block. Space is freed only -after a signal from the output has been received. - -On disk, the spool divides a file into pages. The `file.page_size` setting -configures the file's page size at file creation time. The optimal page size depends -on the effective block size, used by the underlying file system. - -This sample configuration enables the spool with all default settings (See -<> for defaults) and the -default file path: - -[source,yaml] ------------------------------------------------------------------------------- -queue.spool: ~ ------------------------------------------------------------------------------- - -This sample configuration creates a spool of 512MiB, with 16KiB pages. The -write buffer is flushed if 10MiB of contents, or 1024 events have been -written. If the oldest available event has been waiting for 5s in the write -buffer, the buffer will be flushed as well: - -[source,yaml] ------------------------------------------------------------------------------- -queue.spool: - file: - path: "${path.data}/spool.dat" - size: 512MiB - page_size: 16KiB - write: - buffer_size: 10MiB - flush.timeout: 5s - flush.events: 1024 ------------------------------------------------------------------------------- - -[float] -[[configuration-internal-queue-spool-reference]] -==== Configuration options - -You can specify the following options in the `queue.spool` section of the -+{beatname_lc}.yml+ config file: - -[float] -===== `file.path` - -The spool file path. The file is created on startup, if it does not exist. - -The default value is "${path.data}/spool.dat". - -[float] -===== `file.permissions` - -The file permissions. The permissions are applied when the file is -created. In case the file already exists, the file permissions are compared -with `file.permissions`. The spool file is not opened if the actual file -permissions are more permissive then configured. - -The default value is 0600. - - -[float] -===== `file.size` - -Spool file size. - -The default value is 100 MiB. - -NOTE: The size should be much larger then the expected event sizes -and write buffer size. Otherwise the queue will block, because it has not -enough space. - -NOTE: The file size cannot be changed once the file has been generated. This -limitation will be removed in the future. - -[float] -===== `file.page_size` - -The file's page size. - -The spool file is split into pages of `page_size`. All I/O -operations operate on complete pages. - -The default value is 4096 (4KiB). - -NOTE: This setting should match the file system's minimum block size. If the -`page_size` is not a multiple of the file system's block size, the file system -might create additional read operations on writes. - -NOTE: The page size is only set at file creation time. It cannot be changed -afterwards. - -[float] -===== `file.prealloc` - -If `prealloc` is set to `true`, truncate is used to reserve the space up to -`file.size`. This setting is only used when the file is created. - -The file will dynamically grow, if `prealloc` is set to false. The spool -blocks, if `prealloc` is `false` and the system is out of disk space. - -The default value is `true`. - -[float] -===== `write.buffer_size` - -The write buffer size. The write buffer is flushed, once the buffer size is exceeded. - -Very big events are allowed to be bigger then the configured buffer size. But -the write buffer will be flushed right after the event has been serialized. - -The default value is 1MiB. - -[float] -===== `write.codec` - -The event encoding used for serialized events. Valid values are `json` and `cbor`. - -The default value is `cbor`. - -[float] -===== `write.flush.timeout` - -Maximum wait time of the oldest event in the write buffer. If set to 0, the -write buffer will only be flushed once `write.flush.events` or `write.buffer_size` is fulfilled. - -The default value is 1s. - -[float] -===== `write.flush.events` - -Number of buffered events. The write buffer is flushed once the limit is reached. - -The default value is 16384. - -[float] -===== `read.flush.timeout` - -The spool reader tries to read up to the output's `bulk_max_size` events at once. - -If `read.flush.timeout` is set to 0s, all available events are forwarded -immediately to the output. - -If `read.flush.timeout` is set to a value bigger then 0s, the spool will wait -for more events to be flushed. Events are forwarded to the output if -`bulk_max_size` events have been read or the oldest read event has been waiting -for the configured duration. - -The default value is 0s. diff --git a/libbeat/publisher/includes/includes.go b/libbeat/publisher/includes/includes.go index a14dd16d3ba..befc0e93d43 100644 --- a/libbeat/publisher/includes/includes.go +++ b/libbeat/publisher/includes/includes.go @@ -29,5 +29,4 @@ import ( _ "github.com/elastic/beats/v7/libbeat/outputs/redis" _ "github.com/elastic/beats/v7/libbeat/publisher/queue/diskqueue" _ "github.com/elastic/beats/v7/libbeat/publisher/queue/memqueue" - _ "github.com/elastic/beats/v7/libbeat/publisher/queue/spool" ) diff --git a/libbeat/publisher/pipeline/stress/configs/pipeline/small_spool.yml b/libbeat/publisher/pipeline/stress/configs/pipeline/small_spool.yml deleted file mode 100644 index d5f999440e3..00000000000 --- a/libbeat/publisher/pipeline/stress/configs/pipeline/small_spool.yml +++ /dev/null @@ -1,11 +0,0 @@ -pipeline.queue.spool: - file: - path: ${test.tmpdir}/${test.name}-spool.dat - size: 1MiB - page_size: 4KiB - prealloc: true - write: - buffer_size: 16KiB - flush_timeout: 100ms - read: - flush_timeout: 0 diff --git a/libbeat/publisher/pipeline/stress/stress_test.go b/libbeat/publisher/pipeline/stress/stress_test.go index b12af68681f..c0afcc3a021 100644 --- a/libbeat/publisher/pipeline/stress/stress_test.go +++ b/libbeat/publisher/pipeline/stress/stress_test.go @@ -34,7 +34,6 @@ import ( "github.com/elastic/beats/v7/libbeat/common" "github.com/elastic/beats/v7/libbeat/publisher/pipeline/stress" _ "github.com/elastic/beats/v7/libbeat/publisher/queue/memqueue" - _ "github.com/elastic/beats/v7/libbeat/publisher/queue/spool" ) // additional flags diff --git a/libbeat/publisher/queue/spool/codec.go b/libbeat/publisher/queue/spool/codec.go deleted file mode 100644 index 69f693a4817..00000000000 --- a/libbeat/publisher/queue/spool/codec.go +++ /dev/null @@ -1,203 +0,0 @@ -// Licensed to Elasticsearch B.V. under one or more contributor -// license agreements. See the NOTICE file distributed with -// this work for additional information regarding copyright -// ownership. Elasticsearch B.V. licenses this file to you under -// the Apache License, Version 2.0 (the "License"); you may -// not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, -// software distributed under the License is distributed on an -// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -// KIND, either express or implied. See the License for the -// specific language governing permissions and limitations -// under the License. - -package spool - -import ( - "bytes" - "fmt" - "time" - - "github.com/elastic/beats/v7/libbeat/beat" - "github.com/elastic/beats/v7/libbeat/common" - "github.com/elastic/beats/v7/libbeat/outputs/codec" - "github.com/elastic/beats/v7/libbeat/publisher" - "github.com/elastic/go-structform" - "github.com/elastic/go-structform/cborl" - "github.com/elastic/go-structform/gotype" - "github.com/elastic/go-structform/json" - "github.com/elastic/go-structform/ubjson" -) - -type encoder struct { - buf bytes.Buffer - folder *gotype.Iterator - codec codecID -} - -type decoder struct { - buf []byte - - json *json.Parser - cborl *cborl.Parser - ubjson *ubjson.Parser - unfolder *gotype.Unfolder -} - -type codecID uint8 - -type entry struct { - Timestamp int64 - Flags uint8 - Meta common.MapStr - Fields common.MapStr -} - -const ( - // Note: Never change order. Codec IDs must be not change in the future. Only - // adding new IDs is allowed. - codecUnknown codecID = iota - codecJSON - codecUBJSON - codecCBORL - - flagGuaranteed uint8 = 1 << 0 -) - -func newEncoder(codec codecID) (*encoder, error) { - switch codec { - case codecJSON, codecCBORL, codecUBJSON: - break - default: - return nil, fmt.Errorf("unknown codec type '%v'", codec) - } - - e := &encoder{codec: codec} - e.reset() - return e, nil -} - -func (e *encoder) reset() { - e.folder = nil - - var visitor structform.Visitor - switch e.codec { - case codecJSON: - visitor = json.NewVisitor(&e.buf) - case codecCBORL: - visitor = cborl.NewVisitor(&e.buf) - case codecUBJSON: - visitor = ubjson.NewVisitor(&e.buf) - default: - panic("no codec configured") - } - - folder, err := gotype.NewIterator(visitor, - gotype.Folders( - codec.MakeTimestampEncoder(), - codec.MakeBCTimestampEncoder(), - ), - ) - if err != nil { - panic(err) - } - - e.folder = folder -} - -func (e *encoder) encode(event *publisher.Event) ([]byte, error) { - e.buf.Reset() - e.buf.WriteByte(byte(e.codec)) - - var flags uint8 - if (event.Flags & publisher.GuaranteedSend) == publisher.GuaranteedSend { - flags = flagGuaranteed - } - - err := e.folder.Fold(entry{ - Timestamp: event.Content.Timestamp.UTC().UnixNano(), - Flags: flags, - Meta: event.Content.Meta, - Fields: event.Content.Fields, - }) - if err != nil { - e.reset() - return nil, err - } - - return e.buf.Bytes(), nil -} - -func newDecoder() *decoder { - d := &decoder{} - d.reset() - return d -} - -func (d *decoder) reset() { - unfolder, err := gotype.NewUnfolder(nil) - if err != nil { - panic(err) // can not happen - } - - d.unfolder = unfolder - d.json = json.NewParser(unfolder) - d.cborl = cborl.NewParser(unfolder) - d.ubjson = ubjson.NewParser(unfolder) -} - -// Buffer prepares the read buffer to hold the next event of n bytes. -func (d *decoder) Buffer(n int) []byte { - if cap(d.buf) > n { - d.buf = d.buf[:n] - } else { - d.buf = make([]byte, n) - } - return d.buf -} - -func (d *decoder) Decode() (publisher.Event, error) { - var ( - to entry - err error - codec = codecID(d.buf[0]) - contents = d.buf[1:] - ) - - d.unfolder.SetTarget(&to) - defer d.unfolder.Reset() - - switch codec { - case codecJSON: - err = d.json.Parse(contents) - case codecUBJSON: - err = d.ubjson.Parse(contents) - case codecCBORL: - err = d.cborl.Parse(contents) - default: - return publisher.Event{}, fmt.Errorf("unknown codec type '%v'", codec) - } - - if err != nil { - d.reset() // reset parser just in case - return publisher.Event{}, err - } - - var flags publisher.EventFlags - if (to.Flags & flagGuaranteed) != 0 { - flags |= publisher.GuaranteedSend - } - - return publisher.Event{ - Flags: flags, - Content: beat.Event{ - Timestamp: time.Unix(0, to.Timestamp), - Fields: to.Fields, - Meta: to.Meta, - }, - }, nil -} diff --git a/libbeat/publisher/queue/spool/codec_test.go b/libbeat/publisher/queue/spool/codec_test.go deleted file mode 100644 index 6460985f6c3..00000000000 --- a/libbeat/publisher/queue/spool/codec_test.go +++ /dev/null @@ -1,76 +0,0 @@ -// Licensed to Elasticsearch B.V. under one or more contributor -// license agreements. See the NOTICE file distributed with -// this work for additional information regarding copyright -// ownership. Elasticsearch B.V. licenses this file to you under -// the Apache License, Version 2.0 (the "License"); you may -// not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, -// software distributed under the License is distributed on an -// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -// KIND, either express or implied. See the License for the -// specific language governing permissions and limitations -// under the License. - -package spool - -import ( - "testing" - "time" - - "github.com/stretchr/testify/assert" - - "github.com/elastic/beats/v7/libbeat/beat" - "github.com/elastic/beats/v7/libbeat/common" - "github.com/elastic/beats/v7/libbeat/publisher" -) - -func TestEncodeDecode(t *testing.T) { - tests := map[string]codecID{ - "json": codecJSON, - "ubjson": codecUBJSON, - "cborl": codecCBORL, - } - - fieldTimeStr := "2020-01-14T20:33:23.779Z" - fieldTime, _ := time.Parse(time.RFC3339Nano, fieldTimeStr) - event := publisher.Event{ - Content: beat.Event{ - Timestamp: time.Now().Round(0), - Fields: common.MapStr{ - "time": fieldTime, - "commontime": common.Time(fieldTime), - }, - }, - } - expected := publisher.Event{ - Content: beat.Event{ - Timestamp: event.Content.Timestamp, - Fields: common.MapStr{ - "time": fieldTime.Format(time.RFC3339Nano), - "commontime": common.Time(fieldTime).String(), - }, - }, - } - - for name, codec := range tests { - t.Run(name, func(t *testing.T) { - encoder, err := newEncoder(codec) - assert.NoError(t, err) - - encoded, err := encoder.encode(&event) - assert.NoError(t, err) - - decoder := newDecoder() - decoder.buf = encoded - - observed, err := decoder.Decode() - assert.NoError(t, err) - - assert.Equal(t, expected, observed) - }) - } -} diff --git a/libbeat/publisher/queue/spool/config.go b/libbeat/publisher/queue/spool/config.go deleted file mode 100644 index 1d9d9a3299d..00000000000 --- a/libbeat/publisher/queue/spool/config.go +++ /dev/null @@ -1,129 +0,0 @@ -// Licensed to Elasticsearch B.V. under one or more contributor -// license agreements. See the NOTICE file distributed with -// this work for additional information regarding copyright -// ownership. Elasticsearch B.V. licenses this file to you under -// the Apache License, Version 2.0 (the "License"); you may -// not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, -// software distributed under the License is distributed on an -// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -// KIND, either express or implied. See the License for the -// specific language governing permissions and limitations -// under the License. - -package spool - -import ( - "errors" - "fmt" - "os" - "strings" - "time" - - "github.com/dustin/go-humanize" - "github.com/joeshaw/multierror" - - "github.com/elastic/beats/v7/libbeat/common/cfgtype" -) - -type config struct { - File pathConfig `config:"file"` - Write writeConfig `config:"write"` - Read readConfig `config:"read"` -} - -type pathConfig struct { - Path string `config:"path"` - Permissions os.FileMode `config:"permissions"` - MaxSize cfgtype.ByteSize `config:"size"` - PageSize cfgtype.ByteSize `config:"page_size"` - Prealloc bool `config:"prealloc"` -} - -type writeConfig struct { - BufferSize cfgtype.ByteSize `config:"buffer_size"` - FlushEvents int `config:"flush.events"` - FlushTimeout time.Duration `config:"flush.timeout"` - Codec codecID `config:"codec"` -} - -type readConfig struct { - FlushTimeout time.Duration `config:"flush.timeout"` -} - -func defaultConfig() config { - return config{ - File: pathConfig{ - Path: "", - Permissions: 0600, - MaxSize: 100 * humanize.MiByte, - PageSize: 4 * humanize.KiByte, - Prealloc: true, - }, - Write: writeConfig{ - BufferSize: 1 * humanize.MiByte, - FlushTimeout: 1 * time.Second, - FlushEvents: 16 * 1024, - Codec: codecCBORL, - }, - Read: readConfig{ - FlushTimeout: 0, - }, - } -} - -func (c *pathConfig) Validate() error { - var errs multierror.Errors - - if c.MaxSize < humanize.MiByte { - errs = append(errs, errors.New("max size must be larger 1MiB")) - } - - if !c.Permissions.IsRegular() { - errs = append(errs, fmt.Errorf("permissions %v are not regular file permissions", c.Permissions.String())) - } else { - m := c.Permissions.Perm() - if (m & 0400) == 0 { - errs = append(errs, errors.New("file must be readable by current user")) - } - if (m & 0200) == 0 { - errs = append(errs, errors.New("file must be writable by current user")) - } - } - - // TODO: good 'limit' on pageSize? - - if c.PageSize >= c.MaxSize { - errs = append(errs, fmt.Errorf("page_size (%v) must be less then size (%v)", c.PageSize, c.MaxSize)) - } - - return errs.Err() -} - -func (c *writeConfig) Validate() error { - return nil -} - -func (c *readConfig) Validate() error { - return nil -} - -func (c *codecID) Unpack(value string) error { - ids := map[string]codecID{ - "json": codecJSON, - "ubjson": codecUBJSON, - "cbor": codecCBORL, - } - - id, exists := ids[strings.ToLower(value)] - if !exists { - return fmt.Errorf("codec '%v' not available", value) - } - - *c = id - return nil -} diff --git a/libbeat/publisher/queue/spool/consume.go b/libbeat/publisher/queue/spool/consume.go deleted file mode 100644 index 74f3058f739..00000000000 --- a/libbeat/publisher/queue/spool/consume.go +++ /dev/null @@ -1,139 +0,0 @@ -// Licensed to Elasticsearch B.V. under one or more contributor -// license agreements. See the NOTICE file distributed with -// this work for additional information regarding copyright -// ownership. Elasticsearch B.V. licenses this file to you under -// the Apache License, Version 2.0 (the "License"); you may -// not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, -// software distributed under the License is distributed on an -// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -// KIND, either express or implied. See the License for the -// specific language governing permissions and limitations -// under the License. - -package spool - -import ( - "errors" - "io" - - "github.com/elastic/beats/v7/libbeat/common/atomic" - "github.com/elastic/beats/v7/libbeat/publisher" - "github.com/elastic/beats/v7/libbeat/publisher/queue" -) - -type consumer struct { - ctx *spoolCtx - closed atomic.Bool - done chan struct{} - - resp chan getResponse - requ chan getRequest -} - -type batch struct { - events []publisher.Event - state ackState - ack chan batchAckMsg -} - -type ackState uint8 - -const ( - batchActive ackState = iota - batchACK -) - -func newConsumer(ctx *spoolCtx, requ chan getRequest) *consumer { - return &consumer{ - ctx: ctx, - closed: atomic.MakeBool(false), - done: make(chan struct{}), - - // internal API - resp: make(chan getResponse), - requ: requ, - } -} - -func (c *consumer) Close() error { - if c.closed.Swap(true) { - return errors.New("already closed") - } - - close(c.done) - return nil -} - -func (c *consumer) Closed() bool { - return c.closed.Load() || c.ctx.Closed() -} - -func (c *consumer) Get(sz int) (queue.Batch, error) { - log := c.ctx.logger - - if c.Closed() { - return nil, io.EOF - } - - var resp getResponse - for { - select { - case <-c.ctx.Done(): - return nil, io.EOF - - case <-c.done: - return nil, io.EOF - - case c.requ <- getRequest{sz: sz, resp: c.resp}: - } - - resp = <-c.resp - err := resp.err - if err == nil { - break - } - - if err != errRetry { - log.Debug("consumer: error response:", err) - return nil, err - } - } - - log.Debug("consumer: received batch:", len(resp.buf)) - return &batch{ - events: resp.buf, - state: batchActive, - ack: resp.ack, - }, nil -} - -func (b *batch) Events() []publisher.Event { - if b.state != batchActive { - panic("Get Events from inactive batch") - } - return b.events -} - -func (b *batch) ACK() { - if b.state != batchActive { - switch b.state { - case batchACK: - panic("Can not acknowledge already acknowledged batch") - default: - panic("inactive batch") - } - } - - b.report() -} - -func (b *batch) report() { - if b.ack != nil { - b.ack <- batchAckMsg{} - } -} diff --git a/libbeat/publisher/queue/spool/inbroker.go b/libbeat/publisher/queue/spool/inbroker.go deleted file mode 100644 index b165f2a152b..00000000000 --- a/libbeat/publisher/queue/spool/inbroker.go +++ /dev/null @@ -1,550 +0,0 @@ -// Licensed to Elasticsearch B.V. under one or more contributor -// license agreements. See the NOTICE file distributed with -// this work for additional information regarding copyright -// ownership. Elasticsearch B.V. licenses this file to you under -// the Apache License, Version 2.0 (the "License"); you may -// not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, -// software distributed under the License is distributed on an -// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -// KIND, either express or implied. See the License for the -// specific language governing permissions and limitations -// under the License. - -package spool - -import ( - "fmt" - "math" - "time" - - "github.com/elastic/beats/v7/libbeat/publisher/queue" - "github.com/elastic/go-txfile/pq" -) - -type inBroker struct { - ctx *spoolCtx - ackListener queue.ACKListener - - // active state handler - state func(*inBroker) bool - - // api channels - events chan pushRequest - pubCancel chan producerCancelRequest - - // queue signaling - sigACK chan struct{} - sigFlush chan uint - ackDone chan struct{} - - // queue state - queue *pq.Queue - writer *pq.Writer - clientStates clientStates - - // Event contents, that still needs to be send to the queue. An event is - // pending if it has been serialized, but not added to the write buffer in - // full, as some I/O operation on the write buffer failed. - // => - // - keep pointer to yet unwritten event contents - // - do not accept any events if pending is not nil - // - wait for signal from reader/queue-gc to retry writing the pending - // events contents - pending []byte - - bufferedEvents uint // number of buffered events - - // flush settings - timer *timer - flushEvents uint - - enc *encoder -} - -const ( - inSigChannelSize = 3 - inEventChannelSize = 20 -) - -func newInBroker( - ctx *spoolCtx, - ackListener queue.ACKListener, - qu *pq.Queue, - codec codecID, - flushTimeout time.Duration, - flushEvents uint, -) (*inBroker, error) { - enc, err := newEncoder(codec) - if err != nil { - return nil, err - } - - writer, err := qu.Writer() - if err != nil { - return nil, err - } - - b := &inBroker{ - ctx: ctx, - ackListener: ackListener, - state: (*inBroker).stateEmpty, - - // API - events: make(chan pushRequest, inEventChannelSize), - pubCancel: make(chan producerCancelRequest), - sigACK: make(chan struct{}, inSigChannelSize), - sigFlush: make(chan uint, inSigChannelSize), - ackDone: make(chan struct{}), - - // queue state - queue: qu, - writer: writer, - clientStates: clientStates{}, - pending: nil, - bufferedEvents: 0, - - // internal - timer: newTimer(flushTimeout), - flushEvents: flushEvents, - enc: enc, - } - - ctx.Go(b.eventLoop) - ctx.Go(b.ackLoop) - return b, nil -} - -func (b *inBroker) Producer(cfg queue.ProducerConfig) queue.Producer { - return newProducer(b.ctx, b.pubCancel, b.events, cfg.ACK, cfg.OnDrop, cfg.DropOnCancel) -} - -// onFlush is run whenever the queue flushes it's write buffer. The callback is -// run in the same go-routine as the Flush was executed from. -// Only the (*inBroker).eventLoop triggers a flush. -func (b *inBroker) onFlush(n uint) { - log := b.ctx.logger - log.Debug("inbroker: onFlush ", n) - - if n == 0 { - return - } - - if b.ackListener != nil { - b.ackListener.OnACK(int(n)) - } - b.ctx.logger.Debug("inbroker: flushed events:", n) - b.bufferedEvents -= n - b.sigFlush <- n -} - -// onACK is run whenever the queue releases ACKed events. The number of acked -// events and freed pages will is reported. -// Flush events are forward to the brokers eventloop, so to give the broker a -// chance to retry writing in case it has been blocked on a full queue. -func (b *inBroker) onACK(events, pages uint) { - if pages > 0 { - b.sigACK <- struct{}{} - } -} - -func (b *inBroker) ackLoop() { - log := b.ctx.logger - - log.Debug("start flush ack loop") - defer log.Debug("stop flush ack loop") - - for { - var n uint - select { - case <-b.ackDone: - return - - case n = <-b.sigFlush: - log.Debug("inbroker: receive flush", n) - states := b.clientStates.Pop(int(n)) - b.sendACKs(states) - } - } -} - -// sendACKs returns the range of ACKed/Flushed events to the individual -// producers ACK handlers. -func (b *inBroker) sendACKs(states []clientState) { - log := b.ctx.logger - - // reverse iteration on client states, so to report ranges of ACKed events - // only once. - N := len(states) - total := 0 - for i := N - 1; i != -1; i-- { - st := &states[i] - if st.state == nil { - continue - } - - count := (st.seq - st.state.lastACK) - if count == 0 || count > math.MaxUint32/2 { - // seq number comparison did underflow. This happens only if st.seq has - // already been acknowledged - // log.Debug("seq number already acked: ", st.seq) - - st.state = nil - continue - } - - log.Debugf("broker ACK events: count=%v, start-seq=%v, end-seq=%v\n", - count, - st.state.lastACK+1, - st.seq, - ) - - total += int(count) - if total > N { - panic(fmt.Sprintf("Too many events acked (expected=%v, total=%v)", - N, total, - )) - } - - // report range of ACKed events - st.state.ackCB(int(count)) - st.state.lastACK = st.seq - st.state = nil - } -} - -func (b *inBroker) eventLoop() { - log := b.ctx.logger - log.Info("spool input eventloop start") - defer log.Info("spool input eventloop stop") - - // notify ackLoop to stop only after eventLoop has finished (after last flush) - defer close(b.ackDone) - defer b.eventloopShutdown() - - for { - ok := b.state(b) - if !ok { - break - } - } -} - -func (b *inBroker) eventloopShutdown() { - // try to flush events/buffers on shutdown. - if b.bufferedEvents == 0 { - return - } - - // Try to flush pending events. - w := b.writer - for len(b.pending) > 0 { - n, err := w.Write(b.pending) - b.pending = b.pending[n:] - if err != nil { - return - } - } - w.Flush() -} - -// stateEmpty is the brokers active state if the write buffer is empty and the -// queue did not block on write or flush operations. -// ACKs from the output are ignored, as events can still be added to the write -// buffer. -// -// stateEmpty transitions: -// -> stateEmpty if serializing the event failed -// -> stateWithTimer if event is written to buffer without flush -// => start timer -// -> stateBlocked if queue did return an error on write (Flush failed) -func (b *inBroker) stateEmpty() bool { - log := b.ctx.logger - - select { - case <-b.ctx.Done(): - return false - - case req := <-b.events: - log.Debug("inbroker (stateEmpty): new event") - - buf, st, err := b.encodeEvent(&req) - if err != nil { - log.Debug(" inbroker (stateEmpty): encode failed") - b.respondDrop(&req) - break - } - - // write/flush failed -> block until space in file becomes available - err = b.addEvent(buf, st) - if err != nil { - log.Debug(" inbroker: append failed, blocking") - b.state = (*inBroker).stateBlocked - break - } - - // start flush timer - if b.flushEvents > 0 && b.bufferedEvents == b.flushEvents { - log.Debug(" inbroker (stateEmpty): flush events") - err := b.flushBuffer() - if err != nil { - log.Debug(" inbroker (stateEmpty): flush failed, blocking") - b.state = (*inBroker).stateBlocked - } - break - - } else if b.bufferedEvents > 0 { - log.Debug(" inbroker (stateEmpty): start flush timer") - b.timer.Start() - b.state = (*inBroker).stateWithTimer - } - - case req := <-b.pubCancel: - b.handleCancel(&req) - - case <-b.sigACK: - // ignore ACKs as long as we can write without blocking - } - - return true -} - -// stateWithTimer is the brokers active state, if the write buffer is not empty. -// The flush timer is enabled as long as the broker is in this state. -// ACKs from the output are ignored, as events can still be added to the write -// buffer. -// -// stateWithTimer transitions: -// -> stateWithTimer -// - if serializing failed -// - if event is added to buffer, without flush -// - flush, but more events are available in the buffer (might reset timer) -// -> stateEmpty if all events have been flushed -// -> stateBlocked if queue did return an error on write/flush (Flush failed) -func (b *inBroker) stateWithTimer() bool { - log := b.ctx.logger - - select { - case <-b.ctx.Done(): - return false - - case req := <-b.events: - log.Debug("inbroker (stateWithTimer): new event") - - buf, st, err := b.encodeEvent(&req) - if err != nil { - log.Debug(" inbroker (stateWithTimer): encode failed") - b.respondDrop(&req) - break - } - - count := b.bufferedEvents - err = b.addEvent(buf, st) - if err != nil { - log.Debug(" inbroker (stateWithTimer): append failed, blocking") - b.state = (*inBroker).stateBlocked - break - } - - flushed := b.bufferedEvents < count - if !flushed && b.flushEvents > 0 && b.bufferedEvents == b.flushEvents { - err := b.flushBuffer() - if err != nil { - log.Debug(" inbroker (stateWithTimer): flush failed, blocking") - b.state = (*inBroker).stateBlocked - break - } - - flushed = true - } - - if !flushed { - break - } - - // write buffer has been flushed, reset timer and broker state - log.Debug(" inbroker (stateWithTimer): buffer flushed") - if b.bufferedEvents == 0 { - b.timer.Stop(false) - b.state = (*inBroker).stateEmpty - } else { - // restart timer, as new event is most likely the only event buffered - // -> reduce IO - log.Debug(" inbroker (stateWithTimer): start flush timer") - b.timer.Restart() - } - - case req := <-b.pubCancel: - b.handleCancel(&req) - - case <-b.timer.C: - log.Debug("inbroker (stateWithTimer): flush timeout", b.bufferedEvents) - - b.timer.Stop(true) - - err := b.flushBuffer() - if err != nil { - log.Debug(" inbroker (stateWithTimer): flush failed, blocking") - b.state = (*inBroker).stateBlocked - break - } - - log.Debug(" inbroker (stateWithTimer): flush succeeded") - - if b.bufferedEvents > 0 { - // flush did not push all events? Restart timer. - log.Debug(" inbroker (stateWithTimer): start flush timer", b.bufferedEvents) - b.timer.Start() - break - } - - b.state = (*inBroker).stateEmpty - - case <-b.sigACK: - // ignore ACKs as long as we can write without blocking - } - - return true -} - -// stateBlocked is the brokers active state if the write buffer can not accept -// any new events. -// The broker will wait for an ACK signal from the outputs and retry flushing, -// in the hope of enough memory being available to flush the buffers. -// If flush did succeed, we try to add the pending event. -// For the time the broker is in this state, no events from any producers will -// be accepted. Thusly all producers will block. Closing a producer, unblocks -// the producer. The producers event (after close) might be processed or -// ignored in the future. -// -// stateBlocked transitions: -// -> stateEmpty if flush was successful and write buffer is empty -// -> stateWithTimer if flush was successful, but we still have some pending events -// -> stateBlocked if flush failed (still not enough space) -func (b *inBroker) stateBlocked() bool { - log := b.ctx.logger - - select { - case <-b.ctx.Done(): - return false - - case req := <-b.pubCancel: - b.handleCancel(&req) - - case <-b.sigACK: - // TODO: - // Have write buffer report number of unallocated pages and take number - // of freed pages into account before retrying. This way no transaction - // must be created if it's already clear the flush will not succeed. - - log.Debug("inbroker (stateBlocked): ACK event from queue -> try to unblock") - - err := b.flushBuffer() - if err != nil { - log.Debug(" inbroker (stateBlocked): flush failed, blocking") - break - } - - if len(b.pending) > 0 { - tmp := b.pending - b.pending = nil - err := b.writeEvent(tmp) - if err != nil || len(b.pending) > 0 { - log.Debugf("writing pending event failed: %+v", err) - break - } - } - - if b.bufferedEvents == 0 { - b.state = (*inBroker).stateEmpty - break - } - - b.timer.Start() - log.Debug(" inbroker (stateBlocked): start flush timer") - b.state = (*inBroker).stateWithTimer - } - - return true -} - -func (b *inBroker) handleCancel(req *producerCancelRequest) { - // mark state as cancelled, so to not accept any new events - // from the state object. - if st := req.state; st != nil { - st.cancelled = true - } - - if req.resp != nil { - req.resp <- producerCancelResponse{removed: 0} - } -} - -func (b *inBroker) encodeEvent(req *pushRequest) ([]byte, clientState, error) { - buf, err := b.enc.encode(&req.event) - if err != nil { - return nil, clientState{}, err - } - - if req.state == nil { - return buf, clientState{}, nil - } - - return buf, clientState{seq: req.seq, state: req.state}, nil -} - -func (b *inBroker) respondDrop(req *pushRequest) { - if req.state != nil { - if cb := req.state.dropCB; cb != nil { - cb(req.event.Content) - } - } -} - -func (b *inBroker) addEvent(buf []byte, st clientState) error { - log := b.ctx.logger - - b.bufferedEvents++ - log.Debug(" inbroker: add event of size", len(buf), b.bufferedEvents) - - count := b.clientStates.Add(st) - log.Debug(" add event -> active:", count) - - err := b.writeEvent(buf) - log.Debugf(" inbroker write -> events=%v, err=%+v ", b.bufferedEvents, err) - - return err -} - -func (b *inBroker) writeEvent(buf []byte) error { - log := b.ctx.logger - - // append event to queue - w := b.writer - n, err := w.Write(buf) - buf = buf[n:] - if len(buf) > 0 { - b.pending = buf - } else if err == nil { - log.Debug("writer: finalize event in buffer") - err = w.Next() - } - - if err != nil { - log.Debugf("Appending event content to write buffer failed with %+v", err) - } - return err -} - -func (b *inBroker) flushBuffer() error { - err := b.writer.Flush() - if err != nil { - log := b.ctx.logger - log.Errorf("Spool flush failed with: %+v", err) - } - return err -} diff --git a/libbeat/publisher/queue/spool/internal_api.go b/libbeat/publisher/queue/spool/internal_api.go deleted file mode 100644 index a6fd97102d4..00000000000 --- a/libbeat/publisher/queue/spool/internal_api.go +++ /dev/null @@ -1,61 +0,0 @@ -// Licensed to Elasticsearch B.V. under one or more contributor -// license agreements. See the NOTICE file distributed with -// this work for additional information regarding copyright -// ownership. Elasticsearch B.V. licenses this file to you under -// the Apache License, Version 2.0 (the "License"); you may -// not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, -// software distributed under the License is distributed on an -// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -// KIND, either express or implied. See the License for the -// specific language governing permissions and limitations -// under the License. - -package spool - -import ( - "github.com/elastic/beats/v7/libbeat/publisher" -) - -// producer -> broker API -type ( - pushRequest struct { - event publisher.Event - seq uint32 - state *produceState - } - - producerCancelRequest struct { - state *produceState - resp chan producerCancelResponse - } - - producerCancelResponse struct { - removed int - } -) - -// consumer -> broker API - -type ( - getRequest struct { - sz int // request sz events from the broker - resp chan getResponse // channel to send response to - } - - getResponse struct { - ack chan batchAckMsg - err error - buf []publisher.Event - } - - batchAckMsg struct{} - - batchCancelRequest struct { - // ack *ackChan - } -) diff --git a/libbeat/publisher/queue/spool/log.go b/libbeat/publisher/queue/spool/log.go deleted file mode 100644 index 64150366b53..00000000000 --- a/libbeat/publisher/queue/spool/log.go +++ /dev/null @@ -1,71 +0,0 @@ -// Licensed to Elasticsearch B.V. under one or more contributor -// license agreements. See the NOTICE file distributed with -// this work for additional information regarding copyright -// ownership. Elasticsearch B.V. licenses this file to you under -// the Apache License, Version 2.0 (the "License"); you may -// not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, -// software distributed under the License is distributed on an -// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -// KIND, either express or implied. See the License for the -// specific language governing permissions and limitations -// under the License. - -package spool - -import ( - "fmt" - "sync" - - "github.com/elastic/beats/v7/libbeat/logp" -) - -type logger interface { - Debug(...interface{}) - Debugf(string, ...interface{}) - - Info(...interface{}) - Infof(string, ...interface{}) - - Error(...interface{}) - Errorf(string, ...interface{}) -} - -var _defaultLogger struct { - singleton logger - init sync.Once -} - -func defaultLogger() logger { - _defaultLogger.init.Do(func() { - _defaultLogger.singleton = logp.NewLogger("spool") - }) - return _defaultLogger.singleton -} - -// func defaultLogger() logger { return (*outLogger)(nil) } - -type outLogger struct{} - -func (l *outLogger) Debug(vs ...interface{}) { l.report("Debug", vs) } -func (l *outLogger) Debugf(fmt string, vs ...interface{}) { l.reportf("Debug: ", fmt, vs) } - -func (l *outLogger) Info(vs ...interface{}) { l.report("Info", vs) } -func (l *outLogger) Infof(fmt string, vs ...interface{}) { l.reportf("Info", fmt, vs) } - -func (l *outLogger) Error(vs ...interface{}) { l.report("Error", vs) } -func (l *outLogger) Errorf(fmt string, vs ...interface{}) { l.reportf("Error", fmt, vs) } - -func (l *outLogger) report(level string, vs []interface{}) { - args := append([]interface{}{level, ":"}, vs...) - fmt.Println(args...) -} - -func (*outLogger) reportf(level string, str string, vs []interface{}) { - str = level + ": " + str - fmt.Printf(str, vs...) -} diff --git a/libbeat/publisher/queue/spool/module.go b/libbeat/publisher/queue/spool/module.go deleted file mode 100644 index acf22145c4b..00000000000 --- a/libbeat/publisher/queue/spool/module.go +++ /dev/null @@ -1,80 +0,0 @@ -// Licensed to Elasticsearch B.V. under one or more contributor -// license agreements. See the NOTICE file distributed with -// this work for additional information regarding copyright -// ownership. Elasticsearch B.V. licenses this file to you under -// the Apache License, Version 2.0 (the "License"); you may -// not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, -// software distributed under the License is distributed on an -// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -// KIND, either express or implied. See the License for the -// specific language governing permissions and limitations -// under the License. - -package spool - -import ( - "github.com/elastic/beats/v7/libbeat/common" - "github.com/elastic/beats/v7/libbeat/common/cfgwarn" - "github.com/elastic/beats/v7/libbeat/feature" - "github.com/elastic/beats/v7/libbeat/logp" - "github.com/elastic/beats/v7/libbeat/paths" - "github.com/elastic/beats/v7/libbeat/publisher/queue" - "github.com/elastic/go-txfile" -) - -func init() { - queue.RegisterQueueType( - "spool", - create, - feature.MakeDetails( - "Disk spool", - "Buffer events in disk spool before sending to the output.", - feature.Beta)) -} - -func create( - ackListener queue.ACKListener, logp *logp.Logger, cfg *common.Config, inQueueSize int, -) (queue.Queue, error) { - cfgwarn.Beta("Spooling to disk is beta") - - config := defaultConfig() - if err := cfg.Unpack(&config); err != nil { - return nil, err - } - - path := config.File.Path - if path == "" { - path = paths.Resolve(paths.Data, "spool.dat") - } - - flushEvents := uint(0) - if count := config.Write.FlushEvents; count > 0 { - flushEvents = uint(count) - } - - var log logger = logp - if logp == nil { - log = defaultLogger() - } - - return newDiskSpool(log, path, settings{ - ACKListener: ackListener, - Mode: config.File.Permissions, - WriteBuffer: uint(config.Write.BufferSize), - WriteFlushTimeout: config.Write.FlushTimeout, - WriteFlushEvents: flushEvents, - ReadFlushTimeout: config.Read.FlushTimeout, - Codec: config.Write.Codec, - File: txfile.Options{ - MaxSize: uint64(config.File.MaxSize), - PageSize: uint32(config.File.PageSize), - Prealloc: config.File.Prealloc, - Readonly: false, - }, - }) -} diff --git a/libbeat/publisher/queue/spool/outbroker.go b/libbeat/publisher/queue/spool/outbroker.go deleted file mode 100644 index 409b2cde388..00000000000 --- a/libbeat/publisher/queue/spool/outbroker.go +++ /dev/null @@ -1,536 +0,0 @@ -// Licensed to Elasticsearch B.V. under one or more contributor -// license agreements. See the NOTICE file distributed with -// this work for additional information regarding copyright -// ownership. Elasticsearch B.V. licenses this file to you under -// the Apache License, Version 2.0 (the "License"); you may -// not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, -// software distributed under the License is distributed on an -// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -// KIND, either express or implied. See the License for the -// specific language governing permissions and limitations -// under the License. - -package spool - -import ( - "errors" - "sync" - "time" - - "github.com/elastic/beats/v7/libbeat/publisher" - "github.com/elastic/go-txfile/pq" -) - -type outBroker struct { - ctx *spoolCtx - state func(*outBroker) bool - - // internal API - sigFlushed chan uint - get chan getRequest - - // ack signaling - pendingACKs chanList // list of pending batches to be forwarded to the ackLoop - scheduledACKs chan chanList // shared channel for forwarding batches to ackLoop - schedACKs chan chanList // active ack forwarding channel, as used by broker (nil if pendingACKs is empty) - - // queue state - queue *pq.Queue - reader *pq.Reader - available uint // number of available events. getRequests are only accepted if available > 0 - events []publisher.Event - required int - total int - active getRequest - - // internal - timer *timer - dec *decoder -} - -type chanList struct { - head *ackChan - tail *ackChan -} - -type ackChan struct { - next *ackChan - ch chan batchAckMsg - total int // total number of events to ACK with this batch -} - -const ( - // maximum number of events if getRequest size is <0 - maxEvents = 2048 - - outSigChannelSize = 3 -) - -var ackChanPool = sync.Pool{ - New: func() interface{} { - return &ackChan{ - ch: make(chan batchAckMsg, 1), - } - }, -} - -var errRetry = errors.New("retry") - -func newOutBroker(ctx *spoolCtx, qu *pq.Queue, flushTimeout time.Duration) (*outBroker, error) { - reader := qu.Reader() - - var ( - avail uint - err error - ) - func() { - if err = reader.Begin(); err != nil { - return - } - defer reader.Done() - avail, err = reader.Available() - }() - if err != nil { - return nil, err - } - - b := &outBroker{ - ctx: ctx, - state: nil, - - // API - sigFlushed: make(chan uint, outSigChannelSize), - get: make(chan getRequest), - - // ack signaling - pendingACKs: chanList{}, - scheduledACKs: make(chan chanList), - schedACKs: nil, - - // queue state - queue: qu, - reader: reader, - available: avail, - events: nil, - required: 0, - total: 0, - active: getRequest{}, - - // internal - timer: newTimer(flushTimeout), - dec: newDecoder(), - } - - b.initState() - ctx.Go(b.eventLoop) - ctx.Go(b.ackLoop) - return b, nil -} - -func (b *outBroker) Consumer() *consumer { - return newConsumer(b.ctx, b.get) -} - -// onFlush is run whenever the queue flushes it's write buffer. The callback is -// run in the same go-routine as the Flush was executed from. -func (b *outBroker) onFlush(n uint) { - if n > 0 { - select { - case <-b.ctx.Done(): // ignore flush messages on shutdown - - case b.sigFlushed <- n: - - } - } -} - -// onACK is run whenever the queue releases ACKed events. The number of acked -// events and freed pages will is reported. -func (b *outBroker) onACK(events, pages uint) { -} - -func (b *outBroker) ackLoop() { - log := b.ctx.logger - - log.Debug("start output ack loop") - defer log.Debug("stop output ack loop") - - var ackList chanList // list of pending acks - for { - select { - case <-b.ctx.Done(): - return - - case lst := <-b.scheduledACKs: - ackList.concat(&lst) - - case <-ackList.channel(): - ackCh := ackList.pop() - - for { - log.Debugf("receive ACK of %v events\n", ackCh.total) - err := b.queue.ACK(uint(ackCh.total)) - if err != nil { - log.Debugf("ack failed with: %+v", err) - time.Sleep(1 * time.Second) - continue - } - - log.Debug("ACK succeeded") - break - } - - releaseACKChan(ackCh) - } - } -} - -func (b *outBroker) eventLoop() { - for { - ok := b.state(b) - if !ok { - break - } - } -} - -// initState resets the brokers state to the initial state and clears -// buffers/points from last state updates. -func (b *outBroker) initState() { - b.events = nil - b.required = 0 - b.total = 0 - b.active = getRequest{} - if b.available == 0 { - b.state = (*outBroker).stateWaitEvents - } else { - b.state = (*outBroker).stateActive - } -} - -// stateWaitEvents is the brokers state if the queue is empty. -// The broker waits for new events and does not accept and consumer requests. -// -// stateWaitEvents transitions: -// -> stateActive: if a queue flush signal has been received -func (b *outBroker) stateWaitEvents() bool { - log := b.ctx.logger - log.Debug("outbroker (stateWaitEvents): waiting for new events") - - select { - case <-b.ctx.Done(): - return false - - case n := <-b.sigFlushed: - log.Debug("outbroker (stateWaitEvents): flush event", n) - b.available += n - b.state = (*outBroker).stateActive - - case b.schedACKs <- b.pendingACKs: - b.handleACKsScheduled() - } - - return true -} - -// stateActive is the brokers initial state, waiting for consumer to request -// new events. -// Flush signals from the input are ignored. -// -// stateActive transitions: -// -> stateActive: if consumer event get request has been fulfilled (N events -// copied or 0 timeout) -// -> stateWaitEvents: if queue is empty after read -// -> stateWithTimer: if only small number of events are available and flush -// timeout is configured. -func (b *outBroker) stateActive() bool { - log := b.ctx.logger - - select { - case <-b.ctx.Done(): - return false - - case n := <-b.sigFlushed: - b.available += n - - case b.schedACKs <- b.pendingACKs: - b.handleACKsScheduled() - - case req := <-b.get: - var events []publisher.Event - required := maxEvents - if req.sz > 0 { - events = make([]publisher.Event, 0, req.sz) - required = req.sz - } - - log.Debug("outbroker (stateActive): get request", required) - - var err error - var total int - events, total, err = b.collectEvents(events, required) - required -= len(events) - b.available -= uint(total) - - log.Debug(" outbroker (stateActive): events collected", len(events), total, err) - - // forward error to consumer and continue with current state - if err != nil { - log.Debug(" outbroker (stateActive): return error") - b.returnError(req, events, total, err) - b.initState() - break - } - - // enough events? Return - if required == 0 || (len(events) > 0 && b.timer.Zero()) { - log.Debug(" outbroker (stateActive): return events") - b.returnEvents(req, events, total) - b.initState() // prepare for next request - break - } - - // If no events have been decoded, signal an error to the consumer to retry. - // Meanwhile reinitialize state, waiting for more events. - if len(events) == 0 { - b.returnError(req, nil, total, errRetry) - b.initState() - break - } - - // not enough events -> start timer and try to collect more - b.events = events - b.required = required - b.active = req - b.total = total - b.timer.Start() - log.Debug(" outbroker (stateActive): switch to stateWithTimer") - b.state = (*outBroker).stateWithTimer - } - - return true -} - -// stateWithTimer is the brokers active state, if the events read is less then -// the minimal number of requested events. -// Once the timer triggers or more events have been consumed, the get response -// will be send to the consumer. -// -// stateWithTimer transitions: -// -> stateWithTimer: if some, but not enough events have been read from the -// queue -// -> stateActive: if the timer triggers or enough events have been returned -// to the consumer -func (b *outBroker) stateWithTimer() bool { - log := b.ctx.logger - - select { - case <-b.ctx.Done(): - return false - - case b.schedACKs <- b.pendingACKs: - b.handleACKsScheduled() - - case <-b.timer.C: - b.timer.Stop(true) - log.Debug("outbroker (stateWithTimer): flush timer") - b.returnEvents(b.active, b.events, b.total) - - log.Debug("outbroker (stateWithTimer): switch to stateActive") - b.initState() - - case n := <-b.sigFlushed: - // yay, more events \o/ - - b.available += n - - L := len(b.events) - required := b.required - events, total, err := b.collectEvents(b.events, required) - b.available -= uint(total) - collected := len(events) - L - required -= collected - total += b.total - - log.Debug(" outbroker (stateWithTimer): events collected", len(events), total, err) - - // continue with stateWithTimer? - if err == nil && required > 0 { - b.events = events - b.total = total - b.required = required - log.Debug(" outbroker (stateWithTimer): switch to stateWithTimer") - break - } - - // done serving consumer request - b.timer.Stop(false) - if err != nil { - log.Debug(" outbroker (stateWithTimer): return error") - b.returnError(b.active, events, total, err) - } else { - log.Debug(" outbroker (stateWithTimer): return events") - b.returnEvents(b.active, events, total) - } - - log.Debug("outbroker (stateWithTimer): switch to stateActive") - b.initState() - } - - return true -} - -func (b *outBroker) handleACKsScheduled() { - b.schedACKs = nil - b.pendingACKs = chanList{} -} - -func (b *outBroker) newACKChan(total int) *ackChan { - ackCh := newACKChan(total) - b.pendingACKs.append(ackCh) - b.schedACKs = b.scheduledACKs - return ackCh -} - -// signalDrop forwards an ACK of total events to the ackloop. -// The batch is marked as ACKed by the output. -// signalDrop is used to free space in the queue, in case -// a continuous set of events has been dropped due to decoding errors. -func (b *outBroker) signalDrop(total int) { - ackCh := b.newACKChan(total) - ackCh.ch <- batchAckMsg{} -} - -func (b *outBroker) returnEvents(req getRequest, events []publisher.Event, total int) { - ackCh := b.newACKChan(total) - req.resp <- getResponse{ - ack: ackCh.ch, - err: nil, - buf: events, - } -} - -func (b *outBroker) returnError( - req getRequest, - events []publisher.Event, - total int, - err error, -) { - var ch chan batchAckMsg - - if len(events) == 0 && total > 0 { - b.signalDrop(total) - } - if len(events) > 0 { - ackCh := b.newACKChan(total) - ch = ackCh.ch - } - - req.resp <- getResponse{ - ack: ch, - err: err, - buf: events, - } -} - -func (b *outBroker) collectEvents( - events []publisher.Event, - N int, -) ([]publisher.Event, int, error) { - log := b.ctx.logger - reader := b.reader - - // ensure all read operations happen within same transaction - err := reader.Begin() - if err != nil { - return nil, 0, err - } - defer reader.Done() - - count := 0 - for N > 0 { - sz, err := reader.Next() - if sz <= 0 || err != nil { - return events, count, err - } - - count++ - - buf := b.dec.Buffer(sz) - _, err = reader.Read(buf) - if err != nil { - return events, count, err - } - - event, err := b.dec.Decode() - if err != nil { - log.Debug("Failed to decode event from spool: %v", err) - continue - } - - events = append(events, event) - N-- - } - - return events, count, nil -} - -func newACKChan(total int) *ackChan { - c := ackChanPool.Get().(*ackChan) - c.next = nil - c.total = total - return c -} - -func releaseACKChan(c *ackChan) { - c.next = nil - ackChanPool.Put(c) -} - -func (l *chanList) append(ch *ackChan) { - if l.head == nil { - l.head = ch - } else { - l.tail.next = ch - } - l.tail = ch -} - -func (l *chanList) concat(other *chanList) { - if other.head == nil { - return - } - - if l.head == nil { - *l = *other - return - } - - l.tail.next = other.head - l.tail = other.tail -} - -func (l *chanList) channel() chan batchAckMsg { - if l.head == nil { - return nil - } - return l.head.ch -} - -func (l *chanList) pop() *ackChan { - ch := l.head - if ch != nil { - l.head = ch.next - if l.head == nil { - l.tail = nil - } - } - - ch.next = nil - return ch -} diff --git a/libbeat/publisher/queue/spool/produce.go b/libbeat/publisher/queue/spool/produce.go deleted file mode 100644 index 6a74d93b1c6..00000000000 --- a/libbeat/publisher/queue/spool/produce.go +++ /dev/null @@ -1,203 +0,0 @@ -// Licensed to Elasticsearch B.V. under one or more contributor -// license agreements. See the NOTICE file distributed with -// this work for additional information regarding copyright -// ownership. Elasticsearch B.V. licenses this file to you under -// the Apache License, Version 2.0 (the "License"); you may -// not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, -// software distributed under the License is distributed on an -// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -// KIND, either express or implied. See the License for the -// specific language governing permissions and limitations -// under the License. - -package spool - -import ( - "sync" - - "github.com/elastic/beats/v7/libbeat/beat" - "github.com/elastic/beats/v7/libbeat/publisher" - "github.com/elastic/beats/v7/libbeat/publisher/queue" -) - -// forgetfulProducer forwards event to the inBroker. The forgetfulProducer -// provides no event ACK handling and no callbacks. -type forgetfulProducer struct { - openState openState -} - -// ackProducer forwards events to the inBroker. The ackBroker provides -// functionality for ACK/Drop callbacks. -type ackProducer struct { - dropOnCancel bool - seq uint32 - state produceState - openState openState - pubCancel chan producerCancelRequest -} - -// openState tracks the producer->inBroker connection state. -type openState struct { - ctx *spoolCtx - done chan struct{} - events chan pushRequest -} - -// produceState holds the ackProducer internal callback and event ACK state -// shared between ackProducer instances and inBroker instances. -// The state is used to compute the number of per producer ACKed events and -// executing locally configured callbacks. -type produceState struct { - ackCB ackHandler - dropCB func(beat.Event) - cancelled bool - lastACK uint32 -} - -type ackHandler func(count int) - -type clientStates struct { - mux sync.Mutex - clients []clientState -} - -type clientState struct { - seq uint32 // event sequence number - state *produceState // the producer it's state used to compute and signal the ACK count -} - -func newProducer( - ctx *spoolCtx, - pubCancel chan producerCancelRequest, - events chan pushRequest, - ackCB ackHandler, - dropCB func(beat.Event), - dropOnCancel bool, -) queue.Producer { - openState := openState{ - ctx: ctx, - done: make(chan struct{}), - events: events, - } - - if ackCB == nil { - return &forgetfulProducer{openState: openState} - } - - p := &ackProducer{ - seq: 1, - dropOnCancel: dropOnCancel, - openState: openState, - pubCancel: pubCancel, - } - p.state.ackCB = ackCB - p.state.dropCB = dropCB - return p -} - -func (p *forgetfulProducer) Publish(event publisher.Event) bool { - return p.openState.publish(p.makeRequest(event)) -} - -func (p *forgetfulProducer) TryPublish(event publisher.Event) bool { - return p.openState.tryPublish(p.makeRequest(event)) -} - -func (p *forgetfulProducer) makeRequest(event publisher.Event) pushRequest { - return pushRequest{event: event} -} - -func (p *forgetfulProducer) Cancel() int { - p.openState.Close() - return 0 -} - -func (p *ackProducer) Publish(event publisher.Event) bool { - return p.updSeq(p.openState.publish(p.makeRequest(event))) -} - -func (p *ackProducer) TryPublish(event publisher.Event) bool { - return p.updSeq(p.openState.tryPublish(p.makeRequest(event))) -} - -func (p *ackProducer) Cancel() int { - p.openState.Close() - - if p.dropOnCancel { - ch := make(chan producerCancelResponse) - p.pubCancel <- producerCancelRequest{ - state: &p.state, - resp: ch, - } - - // wait for cancel to being processed - resp := <-ch - return resp.removed - } - return 0 -} - -func (p *ackProducer) updSeq(ok bool) bool { - if ok { - p.seq++ - } - return ok -} - -func (p *ackProducer) makeRequest(event publisher.Event) pushRequest { - return pushRequest{event: event, seq: p.seq, state: &p.state} -} - -func (st *openState) Close() { - close(st.done) -} - -func (st *openState) publish(req pushRequest) bool { - select { - case st.events <- req: - return true - case <-st.done: - st.events = nil - return false - } -} - -func (st *openState) tryPublish(req pushRequest) bool { - select { - case st.events <- req: - return true - case <-st.done: - st.events = nil - return false - default: - log := st.ctx.logger - log.Debugf("Dropping event, queue is blocked (seq=%v) ", req.seq) - return false - } -} - -func (s *clientStates) Add(st clientState) int { - s.mux.Lock() - s.clients = append(s.clients, st) - l := len(s.clients) - s.mux.Unlock() - return l -} - -func (s *clientStates) RemoveLast() { - s.mux.Lock() - s.clients = s.clients[:len(s.clients)-1] - s.mux.Unlock() -} - -func (s *clientStates) Pop(n int) (states []clientState) { - s.mux.Lock() - states, s.clients = s.clients[:n], s.clients[n:] - s.mux.Unlock() - return states -} diff --git a/libbeat/publisher/queue/spool/spool.go b/libbeat/publisher/queue/spool/spool.go deleted file mode 100644 index c796170fdc7..00000000000 --- a/libbeat/publisher/queue/spool/spool.go +++ /dev/null @@ -1,250 +0,0 @@ -// Licensed to Elasticsearch B.V. under one or more contributor -// license agreements. See the NOTICE file distributed with -// this work for additional information regarding copyright -// ownership. Elasticsearch B.V. licenses this file to you under -// the Apache License, Version 2.0 (the "License"); you may -// not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, -// software distributed under the License is distributed on an -// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -// KIND, either express or implied. See the License for the -// specific language governing permissions and limitations -// under the License. - -package spool - -import ( - "fmt" - "os" - "runtime" - "sync" - "time" - - "github.com/pkg/errors" - - "github.com/elastic/beats/v7/libbeat/common/atomic" - "github.com/elastic/beats/v7/libbeat/publisher/queue" - "github.com/elastic/go-txfile" - "github.com/elastic/go-txfile/pq" -) - -// diskSpool implements an on-disk queue.Queue. -type diskSpool struct { - // producer/input support - inCtx *spoolCtx - inBroker *inBroker - - // consumer/output support - outCtx *spoolCtx - outBroker *outBroker - - queue *pq.Queue - file *txfile.File -} - -type spoolCtx struct { - logger logger - wg sync.WaitGroup - active atomic.Bool - done chan struct{} -} - -// settings configure a new spool to be created. -type settings struct { - Mode os.FileMode - - File txfile.Options - - // Queue write buffer size. If a single event is bigger then the - // write-buffer, the write-buffer will grow. In this case will the write - // buffer be flushed and reset to its original size. - WriteBuffer uint - - ACKListener queue.ACKListener - - WriteFlushTimeout time.Duration - WriteFlushEvents uint - ReadFlushTimeout time.Duration - - Codec codecID -} - -const minInFlushTimeout = 100 * time.Millisecond -const minOutFlushTimeout = 0 * time.Millisecond - -// newDiskSpool creates and initializes a new file based queue. -func newDiskSpool(logger logger, path string, settings settings) (*diskSpool, error) { - mode := settings.Mode - if mode == 0 { - mode = os.ModePerm - } - - ok := false - inCtx := newSpoolCtx(logger) - outCtx := newSpoolCtx(logger) - defer ifNotOK(&ok, inCtx.Close) - defer ifNotOK(&ok, outCtx.Close) - - if info, err := os.Lstat(path); err != nil { - if !os.IsNotExist(err) { - return nil, err - } - } else if runtime.GOOS != "windows" { - perm := info.Mode().Perm() - cfgPerm := settings.Mode.Perm() - - // check if file has permissions set, that must not be set via config - if (perm | cfgPerm) != cfgPerm { - return nil, fmt.Errorf("file permissions for '%v' must be more strict (required permissions: %v, actual permissions: %v)", - path, cfgPerm, perm) - } - } - - f, err := txfile.Open(path, mode, settings.File) - if err != nil { - return nil, errors.Wrapf(err, "spool queue: failed to open file at path '%s'", path) - } - defer ifNotOK(&ok, ignoreErr(f.Close)) - - queueDelegate, err := pq.NewStandaloneDelegate(f) - if err != nil { - return nil, err - } - - spool := &diskSpool{ - inCtx: inCtx, - outCtx: outCtx, - } - - queue, err := pq.New(queueDelegate, pq.Settings{ - WriteBuffer: settings.WriteBuffer, - Flushed: spool.onFlush, - ACKed: spool.onACK, - }) - if err != nil { - return nil, err - } - defer ifNotOK(&ok, ignoreErr(queue.Close)) - - inFlushTimeout := settings.WriteFlushTimeout - if inFlushTimeout < minInFlushTimeout { - inFlushTimeout = minInFlushTimeout - } - inBroker, err := newInBroker( - inCtx, settings.ACKListener, queue, settings.Codec, - inFlushTimeout, settings.WriteFlushEvents) - if err != nil { - return nil, err - } - - outFlushTimeout := settings.ReadFlushTimeout - if outFlushTimeout < minOutFlushTimeout { - outFlushTimeout = minOutFlushTimeout - } - outBroker, err := newOutBroker(outCtx, queue, outFlushTimeout) - if err != nil { - return nil, err - } - - ok = true - spool.queue = queue - spool.inBroker = inBroker - spool.outBroker = outBroker - spool.file = f - return spool, nil -} - -// Close shuts down the queue and closes the used file. -func (s *diskSpool) Close() error { - // stop all workers (waits for all workers to be finished) - s.outCtx.Close() - s.inCtx.Close() - - // close queue (potentially flushing write buffer) - err := s.queue.Close() - - // finally unmap and close file - s.file.Close() - - return err -} - -// BufferConfig returns the queue initial buffer settings. -func (s *diskSpool) BufferConfig() queue.BufferConfig { - return queue.BufferConfig{MaxEvents: -1} -} - -// Producer creates a new queue producer for publishing events. -func (s *diskSpool) Producer(cfg queue.ProducerConfig) queue.Producer { - return s.inBroker.Producer(cfg) -} - -// Consumer creates a new queue consumer for consuming and acking events. -func (s *diskSpool) Consumer() queue.Consumer { - return s.outBroker.Consumer() -} - -// onFlush is run whenever the queue signals it's write buffer being flushed. -// Flush events are forwarded to all workers. -// The onFlush callback is directly called by the queue writer (same go-routine) -// on Write or Flush operations. -func (s *diskSpool) onFlush(n uint) { - s.inBroker.onFlush(n) - s.outBroker.onFlush(n) -} - -// onACK is run whenever the queue signals events being acked and removed from -// the queue. -// ACK events are forwarded to all workers. -func (s *diskSpool) onACK(events, pages uint) { - s.inBroker.onACK(events, pages) -} - -func newSpoolCtx(logger logger) *spoolCtx { - return &spoolCtx{ - logger: logger, - active: atomic.MakeBool(true), - done: make(chan struct{}), - } -} - -func (ctx *spoolCtx) Close() { - if ctx.active.CAS(true, false) { - close(ctx.done) - ctx.wg.Wait() - } -} - -func (ctx *spoolCtx) Done() <-chan struct{} { - return ctx.done -} - -func (ctx *spoolCtx) Open() bool { - return ctx.active.Load() -} - -func (ctx *spoolCtx) Closed() bool { - return !ctx.Open() -} - -func (ctx *spoolCtx) Go(fn func()) { - ctx.wg.Add(1) - go func() { - defer ctx.wg.Done() - fn() - }() -} - -func ifNotOK(b *bool, fn func()) { - if !(*b) { - fn() - } -} - -func ignoreErr(fn func() error) func() { - return func() { fn() } -} diff --git a/libbeat/publisher/queue/spool/spool_test.go b/libbeat/publisher/queue/spool/spool_test.go deleted file mode 100644 index b5947152d9a..00000000000 --- a/libbeat/publisher/queue/spool/spool_test.go +++ /dev/null @@ -1,159 +0,0 @@ -// Licensed to Elasticsearch B.V. under one or more contributor -// license agreements. See the NOTICE file distributed with -// this work for additional information regarding copyright -// ownership. Elasticsearch B.V. licenses this file to you under -// the Apache License, Version 2.0 (the "License"); you may -// not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, -// software distributed under the License is distributed on an -// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -// KIND, either express or implied. See the License for the -// specific language governing permissions and limitations -// under the License. - -package spool - -import ( - "flag" - "fmt" - "math/rand" - "testing" - "time" - - humanize "github.com/dustin/go-humanize" - - "github.com/elastic/beats/v7/libbeat/publisher/queue" - "github.com/elastic/beats/v7/libbeat/publisher/queue/queuetest" - "github.com/elastic/go-txfile" - "github.com/elastic/go-txfile/txfiletest" -) - -var seed int64 -var debug bool - -type testQueue struct { - *diskSpool - teardown func() -} - -type testLogger struct { - t *testing.T -} - -type silentLogger struct{} - -func init() { - flag.Int64Var(&seed, "seed", time.Now().UnixNano(), "test random seed") - flag.BoolVar(&debug, "noisy", false, "print test logs to console") -} - -func TestProduceConsumer(t *testing.T) { - maxEvents := 4096 - minEvents := 32 - - rand.Seed(seed) - events := rand.Intn(maxEvents-minEvents) + minEvents - batchSize := rand.Intn(events-8) + 4 - - t.Log("seed: ", seed) - t.Log("events: ", events) - t.Log("batchSize: ", batchSize) - - testWith := func(factory queuetest.QueueFactory) func(t *testing.T) { - return func(test *testing.T) { - t.Run("single", func(t *testing.T) { - queuetest.TestSingleProducerConsumer(t, events, batchSize, factory) - }) - t.Run("multi", func(t *testing.T) { - queuetest.TestMultiProducerConsumer(t, events, batchSize, factory) - }) - } - } - - testWith(makeTestQueue( - 128*humanize.KiByte, 4*humanize.KiByte, 16*humanize.KiByte, - 100*time.Millisecond, - ))(t) -} - -func makeTestQueue( - maxSize, pageSize, writeBuffer uint, - flushTimeout time.Duration, -) func(*testing.T) queue.Queue { - return func(t *testing.T) queue.Queue { - if debug { - fmt.Println("Test:", t.Name()) - } - - ok := false - path, cleanPath := txfiletest.SetupPath(t, "") - defer func() { - if !ok { - cleanPath() - } - }() - - var logger logger - if debug { - logger = &testLogger{t} - } else { - logger = new(silentLogger) - } - - spool, err := newDiskSpool(logger, path, settings{ - WriteBuffer: writeBuffer, - WriteFlushTimeout: flushTimeout, - Codec: codecCBORL, - File: txfile.Options{ - MaxSize: uint64(maxSize), - PageSize: uint32(pageSize), - Prealloc: true, - Readonly: false, - }, - }) - if err != nil { - t.Fatal(err) - } - - tq := &testQueue{diskSpool: spool, teardown: cleanPath} - return tq - } -} - -func (t *testQueue) Close() error { - err := t.diskSpool.Close() - t.teardown() - return err -} - -func (l *testLogger) Debug(vs ...interface{}) { l.report("Debug", vs) } -func (l *testLogger) Debugf(fmt string, vs ...interface{}) { l.reportf("Debug: ", fmt, vs) } - -func (l *testLogger) Info(vs ...interface{}) { l.report("Info", vs) } -func (l *testLogger) Infof(fmt string, vs ...interface{}) { l.reportf("Info", fmt, vs) } - -func (l *testLogger) Error(vs ...interface{}) { l.report("Error", vs) } -func (l *testLogger) Errorf(fmt string, vs ...interface{}) { l.reportf("Error", fmt, vs) } - -func (l *testLogger) report(level string, vs []interface{}) { - args := append([]interface{}{level, ":"}, vs...) - l.t.Log(args...) - fmt.Println(args...) -} - -func (l *testLogger) reportf(level string, str string, vs []interface{}) { - str = level + ": " + str - l.t.Logf(str, vs...) - fmt.Printf(str, vs...) -} - -func (*silentLogger) Debug(vs ...interface{}) {} -func (*silentLogger) Debugf(fmt string, vs ...interface{}) {} -func (*silentLogger) Info(vs ...interface{}) {} -func (*silentLogger) Infof(fmt string, vs ...interface{}) {} -func (*silentLogger) Error(vs ...interface{}) {} -func (*silentLogger) Errorf(fmt string, vs ...interface{}) {} diff --git a/libbeat/publisher/queue/spool/timer.go b/libbeat/publisher/queue/spool/timer.go deleted file mode 100644 index 9f08dcfc69a..00000000000 --- a/libbeat/publisher/queue/spool/timer.go +++ /dev/null @@ -1,72 +0,0 @@ -// Licensed to Elasticsearch B.V. under one or more contributor -// license agreements. See the NOTICE file distributed with -// this work for additional information regarding copyright -// ownership. Elasticsearch B.V. licenses this file to you under -// the Apache License, Version 2.0 (the "License"); you may -// not use this file except in compliance with the License. -// You may obtain a copy of the License at -// -// http://www.apache.org/licenses/LICENSE-2.0 -// -// Unless required by applicable law or agreed to in writing, -// software distributed under the License is distributed on an -// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY -// KIND, either express or implied. See the License for the -// specific language governing permissions and limitations -// under the License. - -package spool - -import ( - "time" -) - -type timer struct { - // flush timer - timer *time.Timer - C <-chan time.Time - duration time.Duration -} - -func newTimer(duration time.Duration) *timer { - stdtimer := time.NewTimer(duration) - if !stdtimer.Stop() { - <-stdtimer.C - } - - return &timer{ - timer: stdtimer, - C: nil, - duration: duration, - } -} - -func (t *timer) Zero() bool { - return t.duration == 0 -} - -func (t *timer) Restart() { - t.Stop(false) - t.Start() -} - -func (t *timer) Start() { - if t.C != nil { - return - } - - t.timer.Reset(t.duration) - t.C = t.timer.C -} - -func (t *timer) Stop(triggered bool) { - if t.C == nil { - return - } - - if !triggered && !t.timer.Stop() { - <-t.C - } - - t.C = nil -} diff --git a/libbeat/scripts/cmd/stress_pipeline/main.go b/libbeat/scripts/cmd/stress_pipeline/main.go index 49ba19c686c..2b32ad596a9 100644 --- a/libbeat/scripts/cmd/stress_pipeline/main.go +++ b/libbeat/scripts/cmd/stress_pipeline/main.go @@ -35,7 +35,6 @@ import ( "github.com/elastic/beats/v7/libbeat/paths" "github.com/elastic/beats/v7/libbeat/publisher/pipeline/stress" _ "github.com/elastic/beats/v7/libbeat/publisher/queue/memqueue" - _ "github.com/elastic/beats/v7/libbeat/publisher/queue/spool" "github.com/elastic/beats/v7/libbeat/service" ) diff --git a/metricbeat/metricbeat.reference.yml b/metricbeat/metricbeat.reference.yml index 178a5cb2411..7673d7b01b5 100644 --- a/metricbeat/metricbeat.reference.yml +++ b/metricbeat/metricbeat.reference.yml @@ -1020,66 +1020,6 @@ metricbeat.modules: # length of its retry interval each time, up to this maximum. #max_retry_interval: 30s - # The spool queue will store events in a local spool file, before - # forwarding the events to the outputs. - # Note: the spool queue is deprecated and will be removed in the future. - # Use the disk queue instead. - # - # The spool file is a circular buffer, which blocks once the file/buffer is full. - # Events are put into a write buffer and flushed once the write buffer - # is full or the flush_timeout is triggered. - # Once ACKed by the output, events are removed immediately from the queue, - # making space for new events to be persisted. - #spool: - # The file namespace configures the file path and the file creation settings. - # Once the file exists, the `size`, `page_size` and `prealloc` settings - # will have no more effect. - #file: - # Location of spool file. The default value is ${path.data}/spool.dat. - #path: "${path.data}/spool.dat" - - # Configure file permissions if file is created. The default value is 0600. - #permissions: 0600 - - # File size hint. The spool blocks, once this limit is reached. The default value is 100 MiB. - #size: 100MiB - - # The files page size. A file is split into multiple pages of the same size. The default value is 4KiB. - #page_size: 4KiB - - # If prealloc is set, the required space for the file is reserved using - # truncate. The default value is true. - #prealloc: true - - # Spool writer settings - # Events are serialized into a write buffer. The write buffer is flushed if: - # - The buffer limit has been reached. - # - The configured limit of buffered events is reached. - # - The flush timeout is triggered. - #write: - # Sets the write buffer size. - #buffer_size: 1MiB - - # Maximum duration after which events are flushed if the write buffer - # is not full yet. The default value is 1s. - #flush.timeout: 1s - - # Number of maximum buffered events. The write buffer is flushed once the - # limit is reached. - #flush.events: 16384 - - # Configure the on-disk event encoding. The encoding can be changed - # between restarts. - # Valid encodings are: json, ubjson, and cbor. - #codec: cbor - #read: - # Reader flush timeout, waiting for more events to become available, so - # to fill a complete batch as required by the outputs. - # If flush_timeout is 0, all available events are forwarded to the - # outputs immediately. - # The default value is 0s. - #flush.timeout: 0s - # Sets the maximum number of CPUs that can be executing simultaneously. The # default is the number of logical CPUs available in the system. #max_procs: diff --git a/packetbeat/packetbeat.reference.yml b/packetbeat/packetbeat.reference.yml index a34efacdc33..5f931ddde70 100644 --- a/packetbeat/packetbeat.reference.yml +++ b/packetbeat/packetbeat.reference.yml @@ -692,66 +692,6 @@ packetbeat.ignore_outgoing: false # length of its retry interval each time, up to this maximum. #max_retry_interval: 30s - # The spool queue will store events in a local spool file, before - # forwarding the events to the outputs. - # Note: the spool queue is deprecated and will be removed in the future. - # Use the disk queue instead. - # - # The spool file is a circular buffer, which blocks once the file/buffer is full. - # Events are put into a write buffer and flushed once the write buffer - # is full or the flush_timeout is triggered. - # Once ACKed by the output, events are removed immediately from the queue, - # making space for new events to be persisted. - #spool: - # The file namespace configures the file path and the file creation settings. - # Once the file exists, the `size`, `page_size` and `prealloc` settings - # will have no more effect. - #file: - # Location of spool file. The default value is ${path.data}/spool.dat. - #path: "${path.data}/spool.dat" - - # Configure file permissions if file is created. The default value is 0600. - #permissions: 0600 - - # File size hint. The spool blocks, once this limit is reached. The default value is 100 MiB. - #size: 100MiB - - # The files page size. A file is split into multiple pages of the same size. The default value is 4KiB. - #page_size: 4KiB - - # If prealloc is set, the required space for the file is reserved using - # truncate. The default value is true. - #prealloc: true - - # Spool writer settings - # Events are serialized into a write buffer. The write buffer is flushed if: - # - The buffer limit has been reached. - # - The configured limit of buffered events is reached. - # - The flush timeout is triggered. - #write: - # Sets the write buffer size. - #buffer_size: 1MiB - - # Maximum duration after which events are flushed if the write buffer - # is not full yet. The default value is 1s. - #flush.timeout: 1s - - # Number of maximum buffered events. The write buffer is flushed once the - # limit is reached. - #flush.events: 16384 - - # Configure the on-disk event encoding. The encoding can be changed - # between restarts. - # Valid encodings are: json, ubjson, and cbor. - #codec: cbor - #read: - # Reader flush timeout, waiting for more events to become available, so - # to fill a complete batch as required by the outputs. - # If flush_timeout is 0, all available events are forwarded to the - # outputs immediately. - # The default value is 0s. - #flush.timeout: 0s - # Sets the maximum number of CPUs that can be executing simultaneously. The # default is the number of logical CPUs available in the system. #max_procs: diff --git a/winlogbeat/winlogbeat.reference.yml b/winlogbeat/winlogbeat.reference.yml index 1705648185a..4cca1af761e 100644 --- a/winlogbeat/winlogbeat.reference.yml +++ b/winlogbeat/winlogbeat.reference.yml @@ -120,66 +120,6 @@ winlogbeat.event_logs: # length of its retry interval each time, up to this maximum. #max_retry_interval: 30s - # The spool queue will store events in a local spool file, before - # forwarding the events to the outputs. - # Note: the spool queue is deprecated and will be removed in the future. - # Use the disk queue instead. - # - # The spool file is a circular buffer, which blocks once the file/buffer is full. - # Events are put into a write buffer and flushed once the write buffer - # is full or the flush_timeout is triggered. - # Once ACKed by the output, events are removed immediately from the queue, - # making space for new events to be persisted. - #spool: - # The file namespace configures the file path and the file creation settings. - # Once the file exists, the `size`, `page_size` and `prealloc` settings - # will have no more effect. - #file: - # Location of spool file. The default value is ${path.data}/spool.dat. - #path: "${path.data}/spool.dat" - - # Configure file permissions if file is created. The default value is 0600. - #permissions: 0600 - - # File size hint. The spool blocks, once this limit is reached. The default value is 100 MiB. - #size: 100MiB - - # The files page size. A file is split into multiple pages of the same size. The default value is 4KiB. - #page_size: 4KiB - - # If prealloc is set, the required space for the file is reserved using - # truncate. The default value is true. - #prealloc: true - - # Spool writer settings - # Events are serialized into a write buffer. The write buffer is flushed if: - # - The buffer limit has been reached. - # - The configured limit of buffered events is reached. - # - The flush timeout is triggered. - #write: - # Sets the write buffer size. - #buffer_size: 1MiB - - # Maximum duration after which events are flushed if the write buffer - # is not full yet. The default value is 1s. - #flush.timeout: 1s - - # Number of maximum buffered events. The write buffer is flushed once the - # limit is reached. - #flush.events: 16384 - - # Configure the on-disk event encoding. The encoding can be changed - # between restarts. - # Valid encodings are: json, ubjson, and cbor. - #codec: cbor - #read: - # Reader flush timeout, waiting for more events to become available, so - # to fill a complete batch as required by the outputs. - # If flush_timeout is 0, all available events are forwarded to the - # outputs immediately. - # The default value is 0s. - #flush.timeout: 0s - # Sets the maximum number of CPUs that can be executing simultaneously. The # default is the number of logical CPUs available in the system. #max_procs: diff --git a/x-pack/auditbeat/auditbeat.reference.yml b/x-pack/auditbeat/auditbeat.reference.yml index c5f30eecbe0..f52cc6feab1 100644 --- a/x-pack/auditbeat/auditbeat.reference.yml +++ b/x-pack/auditbeat/auditbeat.reference.yml @@ -253,66 +253,6 @@ auditbeat.modules: # length of its retry interval each time, up to this maximum. #max_retry_interval: 30s - # The spool queue will store events in a local spool file, before - # forwarding the events to the outputs. - # Note: the spool queue is deprecated and will be removed in the future. - # Use the disk queue instead. - # - # The spool file is a circular buffer, which blocks once the file/buffer is full. - # Events are put into a write buffer and flushed once the write buffer - # is full or the flush_timeout is triggered. - # Once ACKed by the output, events are removed immediately from the queue, - # making space for new events to be persisted. - #spool: - # The file namespace configures the file path and the file creation settings. - # Once the file exists, the `size`, `page_size` and `prealloc` settings - # will have no more effect. - #file: - # Location of spool file. The default value is ${path.data}/spool.dat. - #path: "${path.data}/spool.dat" - - # Configure file permissions if file is created. The default value is 0600. - #permissions: 0600 - - # File size hint. The spool blocks, once this limit is reached. The default value is 100 MiB. - #size: 100MiB - - # The files page size. A file is split into multiple pages of the same size. The default value is 4KiB. - #page_size: 4KiB - - # If prealloc is set, the required space for the file is reserved using - # truncate. The default value is true. - #prealloc: true - - # Spool writer settings - # Events are serialized into a write buffer. The write buffer is flushed if: - # - The buffer limit has been reached. - # - The configured limit of buffered events is reached. - # - The flush timeout is triggered. - #write: - # Sets the write buffer size. - #buffer_size: 1MiB - - # Maximum duration after which events are flushed if the write buffer - # is not full yet. The default value is 1s. - #flush.timeout: 1s - - # Number of maximum buffered events. The write buffer is flushed once the - # limit is reached. - #flush.events: 16384 - - # Configure the on-disk event encoding. The encoding can be changed - # between restarts. - # Valid encodings are: json, ubjson, and cbor. - #codec: cbor - #read: - # Reader flush timeout, waiting for more events to become available, so - # to fill a complete batch as required by the outputs. - # If flush_timeout is 0, all available events are forwarded to the - # outputs immediately. - # The default value is 0s. - #flush.timeout: 0s - # Sets the maximum number of CPUs that can be executing simultaneously. The # default is the number of logical CPUs available in the system. #max_procs: diff --git a/x-pack/dockerlogbeat/main.go b/x-pack/dockerlogbeat/main.go index e363aefb667..36472e2ec9e 100644 --- a/x-pack/dockerlogbeat/main.go +++ b/x-pack/dockerlogbeat/main.go @@ -20,7 +20,6 @@ import ( _ "github.com/elastic/beats/v7/libbeat/outputs/logstash" _ "github.com/elastic/beats/v7/libbeat/outputs/redis" _ "github.com/elastic/beats/v7/libbeat/publisher/queue/memqueue" - _ "github.com/elastic/beats/v7/libbeat/publisher/queue/spool" "github.com/elastic/beats/v7/libbeat/service" "github.com/elastic/beats/v7/x-pack/dockerlogbeat/pipelinemanager" ) diff --git a/x-pack/filebeat/filebeat.reference.yml b/x-pack/filebeat/filebeat.reference.yml index c25163576d1..e96b8e7f97d 100644 --- a/x-pack/filebeat/filebeat.reference.yml +++ b/x-pack/filebeat/filebeat.reference.yml @@ -3264,66 +3264,6 @@ filebeat.inputs: # length of its retry interval each time, up to this maximum. #max_retry_interval: 30s - # The spool queue will store events in a local spool file, before - # forwarding the events to the outputs. - # Note: the spool queue is deprecated and will be removed in the future. - # Use the disk queue instead. - # - # The spool file is a circular buffer, which blocks once the file/buffer is full. - # Events are put into a write buffer and flushed once the write buffer - # is full or the flush_timeout is triggered. - # Once ACKed by the output, events are removed immediately from the queue, - # making space for new events to be persisted. - #spool: - # The file namespace configures the file path and the file creation settings. - # Once the file exists, the `size`, `page_size` and `prealloc` settings - # will have no more effect. - #file: - # Location of spool file. The default value is ${path.data}/spool.dat. - #path: "${path.data}/spool.dat" - - # Configure file permissions if file is created. The default value is 0600. - #permissions: 0600 - - # File size hint. The spool blocks, once this limit is reached. The default value is 100 MiB. - #size: 100MiB - - # The files page size. A file is split into multiple pages of the same size. The default value is 4KiB. - #page_size: 4KiB - - # If prealloc is set, the required space for the file is reserved using - # truncate. The default value is true. - #prealloc: true - - # Spool writer settings - # Events are serialized into a write buffer. The write buffer is flushed if: - # - The buffer limit has been reached. - # - The configured limit of buffered events is reached. - # - The flush timeout is triggered. - #write: - # Sets the write buffer size. - #buffer_size: 1MiB - - # Maximum duration after which events are flushed if the write buffer - # is not full yet. The default value is 1s. - #flush.timeout: 1s - - # Number of maximum buffered events. The write buffer is flushed once the - # limit is reached. - #flush.events: 16384 - - # Configure the on-disk event encoding. The encoding can be changed - # between restarts. - # Valid encodings are: json, ubjson, and cbor. - #codec: cbor - #read: - # Reader flush timeout, waiting for more events to become available, so - # to fill a complete batch as required by the outputs. - # If flush_timeout is 0, all available events are forwarded to the - # outputs immediately. - # The default value is 0s. - #flush.timeout: 0s - # Sets the maximum number of CPUs that can be executing simultaneously. The # default is the number of logical CPUs available in the system. #max_procs: diff --git a/x-pack/functionbeat/functionbeat.reference.yml b/x-pack/functionbeat/functionbeat.reference.yml index 397214f8cd5..5ea23a3b0db 100644 --- a/x-pack/functionbeat/functionbeat.reference.yml +++ b/x-pack/functionbeat/functionbeat.reference.yml @@ -375,66 +375,6 @@ functionbeat.provider.aws.functions: # length of its retry interval each time, up to this maximum. #max_retry_interval: 30s - # The spool queue will store events in a local spool file, before - # forwarding the events to the outputs. - # Note: the spool queue is deprecated and will be removed in the future. - # Use the disk queue instead. - # - # The spool file is a circular buffer, which blocks once the file/buffer is full. - # Events are put into a write buffer and flushed once the write buffer - # is full or the flush_timeout is triggered. - # Once ACKed by the output, events are removed immediately from the queue, - # making space for new events to be persisted. - #spool: - # The file namespace configures the file path and the file creation settings. - # Once the file exists, the `size`, `page_size` and `prealloc` settings - # will have no more effect. - #file: - # Location of spool file. The default value is ${path.data}/spool.dat. - #path: "${path.data}/spool.dat" - - # Configure file permissions if file is created. The default value is 0600. - #permissions: 0600 - - # File size hint. The spool blocks, once this limit is reached. The default value is 100 MiB. - #size: 100MiB - - # The files page size. A file is split into multiple pages of the same size. The default value is 4KiB. - #page_size: 4KiB - - # If prealloc is set, the required space for the file is reserved using - # truncate. The default value is true. - #prealloc: true - - # Spool writer settings - # Events are serialized into a write buffer. The write buffer is flushed if: - # - The buffer limit has been reached. - # - The configured limit of buffered events is reached. - # - The flush timeout is triggered. - #write: - # Sets the write buffer size. - #buffer_size: 1MiB - - # Maximum duration after which events are flushed if the write buffer - # is not full yet. The default value is 1s. - #flush.timeout: 1s - - # Number of maximum buffered events. The write buffer is flushed once the - # limit is reached. - #flush.events: 16384 - - # Configure the on-disk event encoding. The encoding can be changed - # between restarts. - # Valid encodings are: json, ubjson, and cbor. - #codec: cbor - #read: - # Reader flush timeout, waiting for more events to become available, so - # to fill a complete batch as required by the outputs. - # If flush_timeout is 0, all available events are forwarded to the - # outputs immediately. - # The default value is 0s. - #flush.timeout: 0s - # Sets the maximum number of CPUs that can be executing simultaneously. The # default is the number of logical CPUs available in the system. #max_procs: diff --git a/x-pack/heartbeat/heartbeat.reference.yml b/x-pack/heartbeat/heartbeat.reference.yml index 6bac78d08c2..8f0f019626b 100644 --- a/x-pack/heartbeat/heartbeat.reference.yml +++ b/x-pack/heartbeat/heartbeat.reference.yml @@ -343,66 +343,6 @@ heartbeat.jobs: # length of its retry interval each time, up to this maximum. #max_retry_interval: 30s - # The spool queue will store events in a local spool file, before - # forwarding the events to the outputs. - # Note: the spool queue is deprecated and will be removed in the future. - # Use the disk queue instead. - # - # The spool file is a circular buffer, which blocks once the file/buffer is full. - # Events are put into a write buffer and flushed once the write buffer - # is full or the flush_timeout is triggered. - # Once ACKed by the output, events are removed immediately from the queue, - # making space for new events to be persisted. - #spool: - # The file namespace configures the file path and the file creation settings. - # Once the file exists, the `size`, `page_size` and `prealloc` settings - # will have no more effect. - #file: - # Location of spool file. The default value is ${path.data}/spool.dat. - #path: "${path.data}/spool.dat" - - # Configure file permissions if file is created. The default value is 0600. - #permissions: 0600 - - # File size hint. The spool blocks, once this limit is reached. The default value is 100 MiB. - #size: 100MiB - - # The files page size. A file is split into multiple pages of the same size. The default value is 4KiB. - #page_size: 4KiB - - # If prealloc is set, the required space for the file is reserved using - # truncate. The default value is true. - #prealloc: true - - # Spool writer settings - # Events are serialized into a write buffer. The write buffer is flushed if: - # - The buffer limit has been reached. - # - The configured limit of buffered events is reached. - # - The flush timeout is triggered. - #write: - # Sets the write buffer size. - #buffer_size: 1MiB - - # Maximum duration after which events are flushed if the write buffer - # is not full yet. The default value is 1s. - #flush.timeout: 1s - - # Number of maximum buffered events. The write buffer is flushed once the - # limit is reached. - #flush.events: 16384 - - # Configure the on-disk event encoding. The encoding can be changed - # between restarts. - # Valid encodings are: json, ubjson, and cbor. - #codec: cbor - #read: - # Reader flush timeout, waiting for more events to become available, so - # to fill a complete batch as required by the outputs. - # If flush_timeout is 0, all available events are forwarded to the - # outputs immediately. - # The default value is 0s. - #flush.timeout: 0s - # Sets the maximum number of CPUs that can be executing simultaneously. The # default is the number of logical CPUs available in the system. #max_procs: diff --git a/x-pack/metricbeat/metricbeat.reference.yml b/x-pack/metricbeat/metricbeat.reference.yml index 575581600bd..be4adb144c8 100644 --- a/x-pack/metricbeat/metricbeat.reference.yml +++ b/x-pack/metricbeat/metricbeat.reference.yml @@ -1541,66 +1541,6 @@ metricbeat.modules: # length of its retry interval each time, up to this maximum. #max_retry_interval: 30s - # The spool queue will store events in a local spool file, before - # forwarding the events to the outputs. - # Note: the spool queue is deprecated and will be removed in the future. - # Use the disk queue instead. - # - # The spool file is a circular buffer, which blocks once the file/buffer is full. - # Events are put into a write buffer and flushed once the write buffer - # is full or the flush_timeout is triggered. - # Once ACKed by the output, events are removed immediately from the queue, - # making space for new events to be persisted. - #spool: - # The file namespace configures the file path and the file creation settings. - # Once the file exists, the `size`, `page_size` and `prealloc` settings - # will have no more effect. - #file: - # Location of spool file. The default value is ${path.data}/spool.dat. - #path: "${path.data}/spool.dat" - - # Configure file permissions if file is created. The default value is 0600. - #permissions: 0600 - - # File size hint. The spool blocks, once this limit is reached. The default value is 100 MiB. - #size: 100MiB - - # The files page size. A file is split into multiple pages of the same size. The default value is 4KiB. - #page_size: 4KiB - - # If prealloc is set, the required space for the file is reserved using - # truncate. The default value is true. - #prealloc: true - - # Spool writer settings - # Events are serialized into a write buffer. The write buffer is flushed if: - # - The buffer limit has been reached. - # - The configured limit of buffered events is reached. - # - The flush timeout is triggered. - #write: - # Sets the write buffer size. - #buffer_size: 1MiB - - # Maximum duration after which events are flushed if the write buffer - # is not full yet. The default value is 1s. - #flush.timeout: 1s - - # Number of maximum buffered events. The write buffer is flushed once the - # limit is reached. - #flush.events: 16384 - - # Configure the on-disk event encoding. The encoding can be changed - # between restarts. - # Valid encodings are: json, ubjson, and cbor. - #codec: cbor - #read: - # Reader flush timeout, waiting for more events to become available, so - # to fill a complete batch as required by the outputs. - # If flush_timeout is 0, all available events are forwarded to the - # outputs immediately. - # The default value is 0s. - #flush.timeout: 0s - # Sets the maximum number of CPUs that can be executing simultaneously. The # default is the number of logical CPUs available in the system. #max_procs: diff --git a/x-pack/osquerybeat/osquerybeat.reference.yml b/x-pack/osquerybeat/osquerybeat.reference.yml index c22416ddb19..edb3adcfb1d 100644 --- a/x-pack/osquerybeat/osquerybeat.reference.yml +++ b/x-pack/osquerybeat/osquerybeat.reference.yml @@ -94,66 +94,6 @@ seccomp.enabled: false # length of its retry interval each time, up to this maximum. #max_retry_interval: 30s - # The spool queue will store events in a local spool file, before - # forwarding the events to the outputs. - # Note: the spool queue is deprecated and will be removed in the future. - # Use the disk queue instead. - # - # The spool file is a circular buffer, which blocks once the file/buffer is full. - # Events are put into a write buffer and flushed once the write buffer - # is full or the flush_timeout is triggered. - # Once ACKed by the output, events are removed immediately from the queue, - # making space for new events to be persisted. - #spool: - # The file namespace configures the file path and the file creation settings. - # Once the file exists, the `size`, `page_size` and `prealloc` settings - # will have no more effect. - #file: - # Location of spool file. The default value is ${path.data}/spool.dat. - #path: "${path.data}/spool.dat" - - # Configure file permissions if file is created. The default value is 0600. - #permissions: 0600 - - # File size hint. The spool blocks, once this limit is reached. The default value is 100 MiB. - #size: 100MiB - - # The files page size. A file is split into multiple pages of the same size. The default value is 4KiB. - #page_size: 4KiB - - # If prealloc is set, the required space for the file is reserved using - # truncate. The default value is true. - #prealloc: true - - # Spool writer settings - # Events are serialized into a write buffer. The write buffer is flushed if: - # - The buffer limit has been reached. - # - The configured limit of buffered events is reached. - # - The flush timeout is triggered. - #write: - # Sets the write buffer size. - #buffer_size: 1MiB - - # Maximum duration after which events are flushed if the write buffer - # is not full yet. The default value is 1s. - #flush.timeout: 1s - - # Number of maximum buffered events. The write buffer is flushed once the - # limit is reached. - #flush.events: 16384 - - # Configure the on-disk event encoding. The encoding can be changed - # between restarts. - # Valid encodings are: json, ubjson, and cbor. - #codec: cbor - #read: - # Reader flush timeout, waiting for more events to become available, so - # to fill a complete batch as required by the outputs. - # If flush_timeout is 0, all available events are forwarded to the - # outputs immediately. - # The default value is 0s. - #flush.timeout: 0s - # Sets the maximum number of CPUs that can be executing simultaneously. The # default is the number of logical CPUs available in the system. #max_procs: diff --git a/x-pack/packetbeat/packetbeat.reference.yml b/x-pack/packetbeat/packetbeat.reference.yml index a34efacdc33..5f931ddde70 100644 --- a/x-pack/packetbeat/packetbeat.reference.yml +++ b/x-pack/packetbeat/packetbeat.reference.yml @@ -692,66 +692,6 @@ packetbeat.ignore_outgoing: false # length of its retry interval each time, up to this maximum. #max_retry_interval: 30s - # The spool queue will store events in a local spool file, before - # forwarding the events to the outputs. - # Note: the spool queue is deprecated and will be removed in the future. - # Use the disk queue instead. - # - # The spool file is a circular buffer, which blocks once the file/buffer is full. - # Events are put into a write buffer and flushed once the write buffer - # is full or the flush_timeout is triggered. - # Once ACKed by the output, events are removed immediately from the queue, - # making space for new events to be persisted. - #spool: - # The file namespace configures the file path and the file creation settings. - # Once the file exists, the `size`, `page_size` and `prealloc` settings - # will have no more effect. - #file: - # Location of spool file. The default value is ${path.data}/spool.dat. - #path: "${path.data}/spool.dat" - - # Configure file permissions if file is created. The default value is 0600. - #permissions: 0600 - - # File size hint. The spool blocks, once this limit is reached. The default value is 100 MiB. - #size: 100MiB - - # The files page size. A file is split into multiple pages of the same size. The default value is 4KiB. - #page_size: 4KiB - - # If prealloc is set, the required space for the file is reserved using - # truncate. The default value is true. - #prealloc: true - - # Spool writer settings - # Events are serialized into a write buffer. The write buffer is flushed if: - # - The buffer limit has been reached. - # - The configured limit of buffered events is reached. - # - The flush timeout is triggered. - #write: - # Sets the write buffer size. - #buffer_size: 1MiB - - # Maximum duration after which events are flushed if the write buffer - # is not full yet. The default value is 1s. - #flush.timeout: 1s - - # Number of maximum buffered events. The write buffer is flushed once the - # limit is reached. - #flush.events: 16384 - - # Configure the on-disk event encoding. The encoding can be changed - # between restarts. - # Valid encodings are: json, ubjson, and cbor. - #codec: cbor - #read: - # Reader flush timeout, waiting for more events to become available, so - # to fill a complete batch as required by the outputs. - # If flush_timeout is 0, all available events are forwarded to the - # outputs immediately. - # The default value is 0s. - #flush.timeout: 0s - # Sets the maximum number of CPUs that can be executing simultaneously. The # default is the number of logical CPUs available in the system. #max_procs: diff --git a/x-pack/winlogbeat/winlogbeat.reference.yml b/x-pack/winlogbeat/winlogbeat.reference.yml index 982b46591ec..5d06be1566a 100644 --- a/x-pack/winlogbeat/winlogbeat.reference.yml +++ b/x-pack/winlogbeat/winlogbeat.reference.yml @@ -163,66 +163,6 @@ winlogbeat.event_logs: # length of its retry interval each time, up to this maximum. #max_retry_interval: 30s - # The spool queue will store events in a local spool file, before - # forwarding the events to the outputs. - # Note: the spool queue is deprecated and will be removed in the future. - # Use the disk queue instead. - # - # The spool file is a circular buffer, which blocks once the file/buffer is full. - # Events are put into a write buffer and flushed once the write buffer - # is full or the flush_timeout is triggered. - # Once ACKed by the output, events are removed immediately from the queue, - # making space for new events to be persisted. - #spool: - # The file namespace configures the file path and the file creation settings. - # Once the file exists, the `size`, `page_size` and `prealloc` settings - # will have no more effect. - #file: - # Location of spool file. The default value is ${path.data}/spool.dat. - #path: "${path.data}/spool.dat" - - # Configure file permissions if file is created. The default value is 0600. - #permissions: 0600 - - # File size hint. The spool blocks, once this limit is reached. The default value is 100 MiB. - #size: 100MiB - - # The files page size. A file is split into multiple pages of the same size. The default value is 4KiB. - #page_size: 4KiB - - # If prealloc is set, the required space for the file is reserved using - # truncate. The default value is true. - #prealloc: true - - # Spool writer settings - # Events are serialized into a write buffer. The write buffer is flushed if: - # - The buffer limit has been reached. - # - The configured limit of buffered events is reached. - # - The flush timeout is triggered. - #write: - # Sets the write buffer size. - #buffer_size: 1MiB - - # Maximum duration after which events are flushed if the write buffer - # is not full yet. The default value is 1s. - #flush.timeout: 1s - - # Number of maximum buffered events. The write buffer is flushed once the - # limit is reached. - #flush.events: 16384 - - # Configure the on-disk event encoding. The encoding can be changed - # between restarts. - # Valid encodings are: json, ubjson, and cbor. - #codec: cbor - #read: - # Reader flush timeout, waiting for more events to become available, so - # to fill a complete batch as required by the outputs. - # If flush_timeout is 0, all available events are forwarded to the - # outputs immediately. - # The default value is 0s. - #flush.timeout: 0s - # Sets the maximum number of CPUs that can be executing simultaneously. The # default is the number of logical CPUs available in the system. #max_procs: From 3e84736ab7f1d94e131092b31ccc0d1356851c59 Mon Sep 17 00:00:00 2001 From: Xiaohui Wen <35361142+hubbleview@users.noreply.github.com> Date: Tue, 23 Nov 2021 14:32:18 -0800 Subject: [PATCH 10/12] Change "filebeat.config.modules.enabled" to "true" (#28769) * Change filebeat.config.modules.enabled to true As per https://www.elastic.co/guide/en/beats/filebeat/current/filebeat-configuration-reloading.html#load-module-config, the default value of filebeat.config.modules.enabled is `true`. Having it as `false` in filebeat.reference.yml would bring in confusion. * Fix build error Co-authored-by: dedemorton --- filebeat/_meta/config/filebeat.global.reference.yml.tmpl | 2 +- filebeat/filebeat.reference.yml | 2 +- x-pack/filebeat/filebeat.reference.yml | 2 +- 3 files changed, 3 insertions(+), 3 deletions(-) diff --git a/filebeat/_meta/config/filebeat.global.reference.yml.tmpl b/filebeat/_meta/config/filebeat.global.reference.yml.tmpl index dccfc790a7c..5686fe14f22 100644 --- a/filebeat/_meta/config/filebeat.global.reference.yml.tmpl +++ b/filebeat/_meta/config/filebeat.global.reference.yml.tmpl @@ -40,7 +40,7 @@ #reload.enabled: true #reload.period: 10s #modules: - #enabled: false + #enabled: true #path: modules.d/*.yml #reload.enabled: true #reload.period: 10s diff --git a/filebeat/filebeat.reference.yml b/filebeat/filebeat.reference.yml index 45d679cc194..6f85f929d28 100644 --- a/filebeat/filebeat.reference.yml +++ b/filebeat/filebeat.reference.yml @@ -1026,7 +1026,7 @@ filebeat.inputs: #reload.enabled: true #reload.period: 10s #modules: - #enabled: false + #enabled: true #path: modules.d/*.yml #reload.enabled: true #reload.period: 10s diff --git a/x-pack/filebeat/filebeat.reference.yml b/x-pack/filebeat/filebeat.reference.yml index e96b8e7f97d..50cb79578be 100644 --- a/x-pack/filebeat/filebeat.reference.yml +++ b/x-pack/filebeat/filebeat.reference.yml @@ -3179,7 +3179,7 @@ filebeat.inputs: #reload.enabled: true #reload.period: 10s #modules: - #enabled: false + #enabled: true #path: modules.d/*.yml #reload.enabled: true #reload.period: 10s From 1207d635d4636412652e52d457af96091b8336a2 Mon Sep 17 00:00:00 2001 From: Jaime Soriano Pastor Date: Wed, 24 Nov 2021 09:40:39 +0100 Subject: [PATCH 11/12] Skip config check in autodiscover for duplicated configurations (#29048) If the configuration is already running, it has been already checked, don't try to check it again to avoid problems with configuration checks that fail if some resource already exist with the same identifiers. --- CHANGELOG.next.asciidoc | 1 + libbeat/autodiscover/autodiscover.go | 39 +++++++++----- libbeat/autodiscover/autodiscover_test.go | 64 +++++++++++++++++++++++ 3 files changed, 91 insertions(+), 13 deletions(-) diff --git a/CHANGELOG.next.asciidoc b/CHANGELOG.next.asciidoc index 8308f6c3a41..8c10a23c61d 100644 --- a/CHANGELOG.next.asciidoc +++ b/CHANGELOG.next.asciidoc @@ -144,6 +144,7 @@ https://github.com/elastic/beats/compare/v7.0.0-alpha2...master[Check the HEAD d - Allows disable pod events enrichment with deployment name {pull}28521[28521] - Fix `fingerprint` processor to give it access to the `@timestamp` field. {issue}28683[28683] - Fix the wrong beat name on monitoring and state endpoint {issue}27755[27755] +- Skip configuration checks in autodiscover for configurations that are already running {pull}29048[29048] *Auditbeat* diff --git a/libbeat/autodiscover/autodiscover.go b/libbeat/autodiscover/autodiscover.go index 8c6977e8362..e1f1d8d2bfc 100644 --- a/libbeat/autodiscover/autodiscover.go +++ b/libbeat/autodiscover/autodiscover.go @@ -64,6 +64,10 @@ type Autodiscover struct { meta *meta.Map listener bus.Listener logger *logp.Logger + + // workDone is a channel used for testing purpouses, to know when the worker has + // done some work. + workDone chan struct{} } // NewAutodiscover instantiates and returns a new Autodiscover manager @@ -165,6 +169,11 @@ func (a *Autodiscover) worker() { // reset updated status updated = false } + + // For testing purpouses. + if a.workDone != nil { + a.workDone <- struct{}{} + } } } @@ -207,26 +216,30 @@ func (a *Autodiscover) handleStart(event bus.Event) bool { continue } - err = a.factory.CheckConfig(config) - if err != nil { - a.logger.Error(errors.Wrap(err, fmt.Sprintf( - "Auto discover config check failed for config '%s', won't start runner", - common.DebugString(config, true)))) - continue - } - // Update meta no matter what dynFields := a.meta.Store(hash, meta) + if _, ok := newCfg[hash]; ok { + a.logger.Debugf("Config %v duplicated in start event", common.DebugString(config, true)) + continue + } + if cfg, ok := a.configs[eventID][hash]; ok { a.logger.Debugf("Config %v is already running", common.DebugString(config, true)) newCfg[hash] = cfg continue - } else { - newCfg[hash] = &reload.ConfigWithMeta{ - Config: config, - Meta: &dynFields, - } + } + + err = a.factory.CheckConfig(config) + if err != nil { + a.logger.Error(errors.Wrap(err, fmt.Sprintf( + "Auto discover config check failed for config '%s', won't start runner", + common.DebugString(config, true)))) + continue + } + newCfg[hash] = &reload.ConfigWithMeta{ + Config: config, + Meta: &dynFields, } updated = true diff --git a/libbeat/autodiscover/autodiscover_test.go b/libbeat/autodiscover/autodiscover_test.go index 4b2ecfef128..2d0ea26b689 100644 --- a/libbeat/autodiscover/autodiscover_test.go +++ b/libbeat/autodiscover/autodiscover_test.go @@ -75,6 +75,8 @@ type mockAdapter struct { mutex sync.Mutex configs []*common.Config runners []*mockRunner + + CheckConfigCallCount int } // CreateConfig generates a valid list of configs from the given event, the received event will have all keys defined by `StartFilter` @@ -87,6 +89,8 @@ func (m *mockAdapter) CreateConfig(event bus.Event) ([]*common.Config, error) { // CheckConfig tests given config to check if it will work or not, returns errors in case it won't work func (m *mockAdapter) CheckConfig(c *common.Config) error { + m.CheckConfigCallCount++ + config := struct { Broken bool `config:"broken"` }{} @@ -324,6 +328,66 @@ func TestAutodiscoverHash(t *testing.T) { assert.False(t, runners[1].stopped) } +func TestAutodiscoverDuplicatedConfigConfigCheckCalledOnce(t *testing.T) { + goroutines := resources.NewGoroutinesChecker() + defer goroutines.Check(t) + + // Register mock autodiscover provider + busChan := make(chan bus.Bus, 1) + + Registry = NewRegistry() + Registry.AddProvider("mock", func(beatName string, b bus.Bus, uuid uuid.UUID, c *common.Config, k keystore.Keystore) (Provider, error) { + // intercept bus to mock events + busChan <- b + + return &mockProvider{}, nil + }) + + // Create a mock adapter that returns a duplicated config + runnerConfig, _ := common.NewConfigFrom(map[string]string{ + "id": "foo", + }) + adapter := mockAdapter{ + configs: []*common.Config{runnerConfig, runnerConfig}, + } + + // and settings: + providerConfig, _ := common.NewConfigFrom(map[string]string{ + "type": "mock", + }) + config := Config{ + Providers: []*common.Config{providerConfig}, + } + k, _ := keystore.NewFileKeystore("test") + // Create autodiscover manager + autodiscover, err := NewAutodiscover("test", nil, &adapter, &adapter, &config, k) + if err != nil { + t.Fatal(err) + } + + autodiscover.workDone = make(chan struct{}) + + // Start it + autodiscover.Start() + defer autodiscover.Stop() + eventBus := <-busChan + + // Publish a couple of events. + for i := 0; i < 2; i++ { + eventBus.Publish(bus.Event{ + "id": "foo", + "provider": "mock", + "start": true, + "meta": common.MapStr{ + "foo": "bar", + }, + }) + <-autodiscover.workDone + assert.Equal(t, 1, len(adapter.Runners()), "Only one runner should be started") + assert.Equal(t, 1, adapter.CheckConfigCallCount, "Check config should have been called only once") + } +} + func TestAutodiscoverWithConfigCheckFailures(t *testing.T) { goroutines := resources.NewGoroutinesChecker() defer goroutines.Check(t) From 606a7d27e9f14d7bf0eec3136de04b850c7db3bd Mon Sep 17 00:00:00 2001 From: Andrea Spacca Date: Wed, 24 Nov 2021 10:15:41 +0100 Subject: [PATCH 12/12] override host on statsd metricset (#29103) * override host on statsd metricset * changelog --- CHANGELOG.next.asciidoc | 1 + metricbeat/helper/server/udp/udp.go | 4 ++++ x-pack/metricbeat/module/statsd/server/server.go | 6 ++++++ 3 files changed, 11 insertions(+) diff --git a/CHANGELOG.next.asciidoc b/CHANGELOG.next.asciidoc index 8c10a23c61d..d5d97facca2 100644 --- a/CHANGELOG.next.asciidoc +++ b/CHANGELOG.next.asciidoc @@ -372,6 +372,7 @@ https://github.com/elastic/beats/compare/v7.0.0-alpha2...master[Check the HEAD d - Preliminary AIX support {pull}27954[27954] - Register additional name for `storage` metricset in the azure module. {pull}28447[28447] - Update reference to gosigar pacakge for filesystem windows fix. {pull}28909[28909] +- Override `Host()` on statsd MetricSet {pull}29103[29103] *Packetbeat* diff --git a/metricbeat/helper/server/udp/udp.go b/metricbeat/helper/server/udp/udp.go index e19f8697519..6bec8489b46 100644 --- a/metricbeat/helper/server/udp/udp.go +++ b/metricbeat/helper/server/udp/udp.go @@ -71,6 +71,10 @@ func NewUdpServer(base mb.BaseMetricSet) (server.Server, error) { }, nil } +func (g *UdpServer) GetHost() string { + return g.udpaddr.String() +} + func (g *UdpServer) Start() error { listener, err := net.ListenUDP("udp", g.udpaddr) if err != nil { diff --git a/x-pack/metricbeat/module/statsd/server/server.go b/x-pack/metricbeat/module/statsd/server/server.go index 3e9f35d8436..b9df691b6b8 100644 --- a/x-pack/metricbeat/module/statsd/server/server.go +++ b/x-pack/metricbeat/module/statsd/server/server.go @@ -104,6 +104,12 @@ func New(base mb.BaseMetricSet) (mb.MetricSet, error) { }, nil } +// Host returns the hostname or other module specific value that identifies a +// specific host or service instance from which to collect metrics. +func (b *MetricSet) Host() string { + return b.server.(*udp.UdpServer).GetHost() +} + func buildMappings(config []StatsdMapping) (map[string]StatsdMapping, error) { mappings := make(map[string]StatsdMapping, len(config)) replacer := strings.NewReplacer(".", `\.`, "<", "(?P<", ">", ">[^.]+)")