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sampler.go
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// 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 apm
import (
"encoding/binary"
"math"
"math/big"
"github.com/pkg/errors"
)
// Sampler provides a means of sampling transactions.
type Sampler interface {
// Sample indicates whether or not a transaction
// should be sampled. This method will be invoked
// by calls to Tracer.StartTransaction for the root
// of a trace, so it must be goroutine-safe, and
// should avoid synchronization as far as possible.
Sample(TraceContext) bool
}
// NewRatioSampler returns a new Sampler with the given ratio
//
// A ratio of 1.0 samples 100% of transactions, a ratio of 0.5
// samples ~50%, and so on. If the ratio provided does not lie
// within the range [0,1.0], NewRatioSampler will panic.
//
// The returned Sampler bases its decision on the value of the
// transaction ID, so there is no synchronization involved.
func NewRatioSampler(r float64) Sampler {
if r < 0 || r > 1.0 {
panic(errors.Errorf("ratio %v out of range [0,1.0]", r))
}
var x big.Float
x.SetUint64(math.MaxUint64)
x.Mul(&x, big.NewFloat(r))
ceil, _ := x.Uint64()
return ratioSampler{ceil}
}
type ratioSampler struct {
ceil uint64
}
// Sample samples the transaction according to the configured
// ratio and pseudo-random source.
func (s ratioSampler) Sample(c TraceContext) bool {
v := binary.BigEndian.Uint64(c.Span[:])
return v > 0 && v-1 < s.ceil
}