Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

unistore: move coprocessor analyze logic to tidb repo #17661

Merged
merged 1 commit into from
Jun 4, 2020
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
267 changes: 267 additions & 0 deletions store/mockstore/unistore/cophandler/analyze.go
Original file line number Diff line number Diff line change
@@ -0,0 +1,267 @@
// Copyright 2019-present PingCAP, Inc.
//
// 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,
// See the License for the specific language governing permissions and
// limitations under the License.

package cophandler

import (
"math"
"time"

"github.com/golang/protobuf/proto"
"github.com/juju/errors"
"github.com/ngaut/unistore/tikv/dbreader"
"github.com/pingcap/badger/y"
"github.com/pingcap/kvproto/pkg/coprocessor"
"github.com/pingcap/parser/ast"
"github.com/pingcap/parser/charset"
"github.com/pingcap/parser/model"
"github.com/pingcap/parser/mysql"
"github.com/pingcap/tidb/kv"
"github.com/pingcap/tidb/statistics"
"github.com/pingcap/tidb/tablecodec"
"github.com/pingcap/tidb/types"
"github.com/pingcap/tidb/util/chunk"
"github.com/pingcap/tidb/util/rowcodec"
"github.com/pingcap/tipb/go-tipb"
"golang.org/x/net/context"
)

// handleCopAnalyzeRequest handles coprocessor analyze request.
func handleCopAnalyzeRequest(dbReader *dbreader.DBReader, req *coprocessor.Request) *coprocessor.Response {
resp := &coprocessor.Response{}
if len(req.Ranges) == 0 {
return resp
}
if req.GetTp() != kv.ReqTypeAnalyze {
return resp
}
analyzeReq := new(tipb.AnalyzeReq)
err := proto.Unmarshal(req.Data, analyzeReq)
if err != nil {
resp.OtherError = err.Error()
return resp
}
ranges, err := extractKVRanges(dbReader.StartKey, dbReader.EndKey, req.Ranges, false)
if err != nil {
resp.OtherError = err.Error()
return resp
}
y.Assert(len(ranges) == 1)
if analyzeReq.Tp == tipb.AnalyzeType_TypeIndex {
resp, err = handleAnalyzeIndexReq(dbReader, ranges[0], analyzeReq, req.StartTs)
} else {
resp, err = handleAnalyzeColumnsReq(dbReader, ranges[0], analyzeReq, req.StartTs)
}
if err != nil {
resp = &coprocessor.Response{
OtherError: err.Error(),
}
}
return resp
}

func handleAnalyzeIndexReq(dbReader *dbreader.DBReader, ran kv.KeyRange, analyzeReq *tipb.AnalyzeReq, startTS uint64) (*coprocessor.Response, error) {
processor := &analyzeIndexProcessor{
colLen: int(analyzeReq.IdxReq.NumColumns),
statsBuilder: statistics.NewSortedBuilder(flagsToStatementContext(analyzeReq.Flags), analyzeReq.IdxReq.BucketSize, 0, types.NewFieldType(mysql.TypeBlob)),
}
if analyzeReq.IdxReq.CmsketchDepth != nil && analyzeReq.IdxReq.CmsketchWidth != nil {
processor.cms = statistics.NewCMSketch(*analyzeReq.IdxReq.CmsketchDepth, *analyzeReq.IdxReq.CmsketchWidth)
}
err := dbReader.Scan(ran.StartKey, ran.EndKey, math.MaxInt64, startTS, processor)
if err != nil {
return nil, err
}
hg := statistics.HistogramToProto(processor.statsBuilder.Hist())
var cm *tipb.CMSketch
if processor.cms != nil {
cm = statistics.CMSketchToProto(processor.cms)
}
data, err := proto.Marshal(&tipb.AnalyzeIndexResp{Hist: hg, Cms: cm})
if err != nil {
return nil, errors.Trace(err)
}
return &coprocessor.Response{Data: data}, nil
}

type analyzeIndexProcessor struct {
skipVal

colLen int
statsBuilder *statistics.SortedBuilder
cms *statistics.CMSketch
rowBuf []byte
}

func (p *analyzeIndexProcessor) Process(key, value []byte) error {
values, _, err := tablecodec.CutIndexKeyNew(key, p.colLen)
if err != nil {
return err
}
p.rowBuf = p.rowBuf[:0]
for _, val := range values {
p.rowBuf = append(p.rowBuf, val...)
if p.cms != nil {
p.cms.InsertBytes(p.rowBuf)
}
}
rowData := safeCopy(p.rowBuf)
err = p.statsBuilder.Iterate(types.NewBytesDatum(rowData))
if err != nil {
return err
}
return nil
}

type analyzeColumnsExec struct {
skipVal
reader *dbreader.DBReader
seekKey []byte
endKey []byte
startTS uint64

chk *chunk.Chunk
decoder *rowcodec.ChunkDecoder
req *chunk.Chunk
evalCtx *evalContext
fields []*ast.ResultField
}

func handleAnalyzeColumnsReq(dbReader *dbreader.DBReader, ran kv.KeyRange, analyzeReq *tipb.AnalyzeReq, startTS uint64) (*coprocessor.Response, error) {
sc := flagsToStatementContext(analyzeReq.Flags)
sc.TimeZone = time.FixedZone("UTC", int(analyzeReq.TimeZoneOffset))
evalCtx := &evalContext{sc: sc}
columns := analyzeReq.ColReq.ColumnsInfo
evalCtx.setColumnInfo(columns)
decoder, err := evalCtx.newRowDecoder()
if err != nil {
return nil, err
}
e := &analyzeColumnsExec{
reader: dbReader,
seekKey: ran.StartKey,
endKey: ran.EndKey,
startTS: startTS,
chk: chunk.NewChunkWithCapacity(evalCtx.fieldTps, 1),
decoder: decoder,
evalCtx: evalCtx,
}
e.fields = make([]*ast.ResultField, len(columns))
for i := range e.fields {
rf := new(ast.ResultField)
rf.Column = new(model.ColumnInfo)
rf.Column.FieldType = types.FieldType{Tp: mysql.TypeBlob, Flen: mysql.MaxBlobWidth, Charset: charset.CharsetUTF8, Collate: charset.CollationUTF8}
e.fields[i] = rf
}

pkID := int64(-1)
numCols := len(columns)
if columns[0].GetPkHandle() {
pkID = columns[0].ColumnId
numCols--
}
colReq := analyzeReq.ColReq
builder := statistics.SampleBuilder{
Sc: sc,
RecordSet: e,
ColLen: numCols,
MaxBucketSize: colReq.BucketSize,
MaxFMSketchSize: colReq.SketchSize,
MaxSampleSize: colReq.SampleSize,
}
if pkID != -1 {
builder.PkBuilder = statistics.NewSortedBuilder(sc, builder.MaxBucketSize, pkID, types.NewFieldType(mysql.TypeBlob))
}
if colReq.CmsketchWidth != nil && colReq.CmsketchDepth != nil {
builder.CMSketchWidth = *colReq.CmsketchWidth
builder.CMSketchDepth = *colReq.CmsketchDepth
}
collectors, pkBuilder, err := builder.CollectColumnStats()
if err != nil {
return nil, errors.Trace(err)
}
colResp := &tipb.AnalyzeColumnsResp{}
if pkID != -1 {
colResp.PkHist = statistics.HistogramToProto(pkBuilder.Hist())
}
for _, c := range collectors {
colResp.Collectors = append(colResp.Collectors, statistics.SampleCollectorToProto(c))
}
data, err := proto.Marshal(colResp)
if err != nil {
return nil, errors.Trace(err)
}
return &coprocessor.Response{Data: data}, nil
}

// Fields implements the sqlexec.RecordSet Fields interface.
func (e *analyzeColumnsExec) Fields() []*ast.ResultField {
return e.fields
}

func (e *analyzeColumnsExec) Next(ctx context.Context, req *chunk.Chunk) error {
req.Reset()
e.req = req
err := e.reader.Scan(e.seekKey, e.endKey, math.MaxInt64, e.startTS, e)
if err != nil {
return err
}
if req.NumRows() < req.Capacity() {
e.seekKey = e.endKey
}
return nil
}

func (e *analyzeColumnsExec) Process(key, value []byte) error {
handle, err := tablecodec.DecodeRowKey(key)
if err != nil {
return errors.Trace(err)
}
err = e.decoder.DecodeToChunk(value, handle, e.chk)
if err != nil {
return errors.Trace(err)
}
row := e.chk.GetRow(0)
for i, tp := range e.evalCtx.fieldTps {
d := row.GetDatum(i, tp)
if d.IsNull() {
e.req.AppendNull(i)
continue
}

value, err := tablecodec.EncodeValue(e.evalCtx.sc, nil, d)
if err != nil {
return err
}
e.req.AppendBytes(i, value)
}
e.chk.Reset()
if e.req.NumRows() == e.req.Capacity() {
e.seekKey = kv.Key(key).PrefixNext()
return dbreader.ScanBreak
}
return nil
}

func (e *analyzeColumnsExec) NewChunk() *chunk.Chunk {
fields := make([]*types.FieldType, 0, len(e.fields))
for _, field := range e.fields {
fields = append(fields, &field.Column.FieldType)
}
return chunk.NewChunkWithCapacity(fields, 1024)
}

// Close implements the sqlexec.RecordSet Close interface.
func (e *analyzeColumnsExec) Close() error {
return nil
}
31 changes: 29 additions & 2 deletions store/mockstore/unistore/cophandler/cop_handler.go
Original file line number Diff line number Diff line change
Expand Up @@ -40,6 +40,19 @@ import (
"github.com/pingcap/tipb/go-tipb"
)

// HandleCopRequest handles coprocessor request.
func HandleCopRequest(dbReader *dbreader.DBReader, lockStore *lockstore.MemStore, req *coprocessor.Request) *coprocessor.Response {
switch req.Tp {
case kv.ReqTypeDAG:
return handleCopDAGRequest(dbReader, lockStore, req)
case kv.ReqTypeAnalyze:
return handleCopAnalyzeRequest(dbReader, req)
case kv.ReqTypeChecksum:
return handleCopChecksumRequest(dbReader, req)
}
return &coprocessor.Response{OtherError: fmt.Sprintf("unsupported request type %d", req.GetTp())}
}

type dagContext struct {
*evalContext
dbReader *dbreader.DBReader
Expand All @@ -50,8 +63,8 @@ type dagContext struct {
startTS uint64
}

// HandleCopDAGRequest handles coprocessor DAG request.
func HandleCopDAGRequest(dbReader *dbreader.DBReader, lockStore *lockstore.MemStore, req *coprocessor.Request) *coprocessor.Response {
// handleCopDAGRequest handles coprocessor DAG request.
func handleCopDAGRequest(dbReader *dbreader.DBReader, lockStore *lockstore.MemStore, req *coprocessor.Request) *coprocessor.Response {
startTime := time.Now()
resp := &coprocessor.Response{}
dagCtx, dagReq, err := buildDAG(dbReader, lockStore, req)
Expand Down Expand Up @@ -372,3 +385,17 @@ func fieldTypeFromPBColumn(col *tipb.ColumnInfo) *types.FieldType {
Collate: mysql.Collations[uint8(collate.RestoreCollationIDIfNeeded(col.GetCollation()))],
}
}

// handleCopChecksumRequest handles coprocessor check sum request.
func handleCopChecksumRequest(dbReader *dbreader.DBReader, req *coprocessor.Request) *coprocessor.Response {
resp := &tipb.ChecksumResponse{
Checksum: 1,
TotalKvs: 1,
TotalBytes: 1,
}
data, err := resp.Marshal()
if err != nil {
return &coprocessor.Response{OtherError: fmt.Sprintf("marshal checksum response error: %v", err)}
}
return &coprocessor.Response{Data: data}
}