148 lines
3.5 KiB
Go
148 lines
3.5 KiB
Go
// Copyright 2018 The Prometheus Authors
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package tsdbutil
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import (
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"fmt"
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"github.com/prometheus/prometheus/model/histogram"
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"github.com/prometheus/prometheus/tsdb/chunkenc"
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"github.com/prometheus/prometheus/tsdb/chunks"
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)
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type Samples interface {
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Get(i int) Sample
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Len() int
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}
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type Sample interface {
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T() int64
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V() float64
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H() *histogram.Histogram
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FH() *histogram.FloatHistogram
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Type() chunkenc.ValueType
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}
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type SampleSlice []Sample
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func (s SampleSlice) Get(i int) Sample { return s[i] }
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func (s SampleSlice) Len() int { return len(s) }
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// ChunkFromSamples requires all samples to have the same type.
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func ChunkFromSamples(s []Sample) chunks.Meta {
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return ChunkFromSamplesGeneric(SampleSlice(s))
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}
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// ChunkFromSamplesGeneric requires all samples to have the same type.
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func ChunkFromSamplesGeneric(s Samples) chunks.Meta {
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mint, maxt := int64(0), int64(0)
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if s.Len() > 0 {
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mint, maxt = s.Get(0).T(), s.Get(s.Len()-1).T()
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}
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if s.Len() == 0 {
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return chunks.Meta{
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Chunk: chunkenc.NewXORChunk(),
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}
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}
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sampleType := s.Get(0).Type()
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c, err := chunkenc.NewEmptyChunk(sampleType.ChunkEncoding())
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if err != nil {
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panic(err) // TODO(codesome): dont panic.
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}
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ca, _ := c.Appender()
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for i := 0; i < s.Len(); i++ {
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switch sampleType {
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case chunkenc.ValFloat:
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ca.Append(s.Get(i).T(), s.Get(i).V())
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case chunkenc.ValHistogram:
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ca.AppendHistogram(s.Get(i).T(), s.Get(i).H())
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case chunkenc.ValFloatHistogram:
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ca.AppendFloatHistogram(s.Get(i).T(), s.Get(i).FH())
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default:
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panic(fmt.Sprintf("unknown sample type %s", sampleType.String()))
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}
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}
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return chunks.Meta{
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MinTime: mint,
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MaxTime: maxt,
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Chunk: c,
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}
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}
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type sample struct {
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t int64
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v float64
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h *histogram.Histogram
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fh *histogram.FloatHistogram
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}
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func (s sample) T() int64 {
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return s.t
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}
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func (s sample) V() float64 {
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return s.v
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}
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func (s sample) H() *histogram.Histogram {
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return s.h
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}
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func (s sample) FH() *histogram.FloatHistogram {
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return s.fh
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}
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func (s sample) Type() chunkenc.ValueType {
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switch {
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case s.h != nil:
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return chunkenc.ValHistogram
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case s.fh != nil:
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return chunkenc.ValFloatHistogram
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default:
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return chunkenc.ValFloat
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}
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}
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// PopulatedChunk creates a chunk populated with samples every second starting at minTime
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func PopulatedChunk(numSamples int, minTime int64) chunks.Meta {
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samples := make([]Sample, numSamples)
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for i := 0; i < numSamples; i++ {
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samples[i] = sample{t: minTime + int64(i*1000), v: 1.0}
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}
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return ChunkFromSamples(samples)
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}
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// GenerateSamples starting at start and counting up numSamples.
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func GenerateSamples(start, numSamples int) []Sample {
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return generateSamples(start, numSamples, func(i int) Sample {
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return sample{
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t: int64(i),
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v: float64(i),
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}
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})
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}
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func generateSamples(start, numSamples int, gen func(int) Sample) []Sample {
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samples := make([]Sample, 0, numSamples)
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for i := start; i < start+numSamples; i++ {
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samples = append(samples, gen(i))
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}
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return samples
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}
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