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290 lines
10 KiB
290 lines
10 KiB
// Copyright 2022 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 tsdb
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import (
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"math"
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"testing"
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"github.com/prometheus/prometheus/model/histogram"
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"github.com/prometheus/prometheus/storage"
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"github.com/prometheus/prometheus/tsdb/chunkenc"
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"github.com/prometheus/prometheus/tsdb/tsdbutil"
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"github.com/stretchr/testify/require"
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)
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const testMaxSize int = 32
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// Formulas chosen to make testing easy.
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// Formulas chosen to make testing easy.
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func valEven(pos int) int64 { return int64(pos*2 + 2) } // s[0]=2, s[1]=4, s[2]=6, ..., s[31]=64 - Predictable pre-existing values
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func valOdd(pos int) int64 { return int64(pos*2 + 1) } // s[0]=1, s[1]=3, s[2]=5, ..., s[31]=63 - New values will interject at chosen position because they sort before the pre-existing vals.
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func makeEvenSampleSlice(n int, sampleFunc func(ts int64) sample) []sample {
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s := make([]sample, n)
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for i := 0; i < n; i++ {
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s[i] = sampleFunc(valEven(i))
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}
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return s
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}
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// TestOOOInsert tests the following cases:
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// - Number of pre-existing samples anywhere from 0 to testMaxSize-1.
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// - Insert new sample before first pre-existing samples, after the last, and anywhere in between.
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// - With a chunk initial capacity of testMaxSize/8 and testMaxSize, which lets us test non-full and full chunks, and chunks that need to expand themselves.
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func TestOOOInsert(t *testing.T) {
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scenarios := map[string]struct {
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sampleFunc func(ts int64) sample
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}{
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"float": {
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sampleFunc: func(ts int64) sample {
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return sample{t: ts, f: float64(ts)}
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},
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},
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"integer histogram": {
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sampleFunc: func(ts int64) sample {
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return sample{t: ts, h: tsdbutil.GenerateTestHistogram(int(ts))}
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},
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},
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"float histogram": {
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sampleFunc: func(ts int64) sample {
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return sample{t: ts, fh: tsdbutil.GenerateTestFloatHistogram(int(ts))}
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},
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},
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}
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for name, scenario := range scenarios {
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t.Run(name, func(t *testing.T) {
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testOOOInsert(t, scenario.sampleFunc)
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})
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}
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}
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func testOOOInsert(t *testing.T,
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sampleFunc func(ts int64) sample,
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) {
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for numPreExisting := 0; numPreExisting <= testMaxSize; numPreExisting++ {
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// For example, if we have numPreExisting 2, then:
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// chunk.samples indexes filled 0 1
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// chunk.samples with these values 2 4 // valEven
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// we want to test inserting at index 0 1 2 // insertPos=0..numPreExisting
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// we can do this by using values 1, 3 5 // valOdd(insertPos)
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for insertPos := 0; insertPos <= numPreExisting; insertPos++ {
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chunk := NewOOOChunk()
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chunk.samples = make([]sample, numPreExisting)
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chunk.samples = makeEvenSampleSlice(numPreExisting, sampleFunc)
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newSample := sampleFunc(valOdd(insertPos))
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chunk.Insert(newSample.t, newSample.f, newSample.h, newSample.fh)
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var expSamples []sample
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// Our expected new samples slice, will be first the original samples.
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for i := 0; i < insertPos; i++ {
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expSamples = append(expSamples, sampleFunc(valEven(i)))
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}
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// Then the new sample.
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expSamples = append(expSamples, newSample)
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// Followed by any original samples that were pushed back by the new one.
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for i := insertPos; i < numPreExisting; i++ {
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expSamples = append(expSamples, sampleFunc(valEven(i)))
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}
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require.Equal(t, expSamples, chunk.samples, "numPreExisting %d, insertPos %d", numPreExisting, insertPos)
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}
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}
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}
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// TestOOOInsertDuplicate tests the correct behavior when inserting a sample that is a duplicate of any
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// pre-existing samples, with between 1 and testMaxSize pre-existing samples and
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// with a chunk initial capacity of testMaxSize/8 and testMaxSize, which lets us test non-full and full chunks, and chunks that need to expand themselves.
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func TestOOOInsertDuplicate(t *testing.T) {
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scenarios := map[string]struct {
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sampleFunc func(ts int64) sample
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}{
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"float": {
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sampleFunc: func(ts int64) sample {
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return sample{t: ts, f: float64(ts)}
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},
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},
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"integer histogram": {
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sampleFunc: func(ts int64) sample {
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return sample{t: ts, h: tsdbutil.GenerateTestHistogram(int(ts))}
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},
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},
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"float histogram": {
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sampleFunc: func(ts int64) sample {
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return sample{t: ts, fh: tsdbutil.GenerateTestFloatHistogram(int(ts))}
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},
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},
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}
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for name, scenario := range scenarios {
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t.Run(name, func(t *testing.T) {
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testOOOInsertDuplicate(t, scenario.sampleFunc)
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})
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}
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}
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func testOOOInsertDuplicate(t *testing.T,
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sampleFunc func(ts int64) sample,
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) {
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for num := 1; num <= testMaxSize; num++ {
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for dupPos := 0; dupPos < num; dupPos++ {
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chunk := NewOOOChunk()
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chunk.samples = makeEvenSampleSlice(num, sampleFunc)
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dupSample := chunk.samples[dupPos]
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dupSample.f = 0.123
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ok := chunk.Insert(dupSample.t, dupSample.f, dupSample.h, dupSample.fh)
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expSamples := makeEvenSampleSlice(num, sampleFunc) // We expect no change.
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require.False(t, ok)
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require.Equal(t, expSamples, chunk.samples, "num %d, dupPos %d", num, dupPos)
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}
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}
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}
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type chunkVerify struct {
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encoding chunkenc.Encoding
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minTime int64
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maxTime int64
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}
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func TestOOOChunks_ToEncodedChunks(t *testing.T) {
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h1 := tsdbutil.GenerateTestHistogram(1)
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// Make h2 appendable but with more buckets, to trigger recoding.
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h2 := h1.Copy()
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h2.PositiveSpans = append(h2.PositiveSpans, histogram.Span{Offset: 1, Length: 1})
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h2.PositiveBuckets = append(h2.PositiveBuckets, 12)
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testCases := map[string]struct {
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samples []sample
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expectedCounterResets []histogram.CounterResetHint
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expectedChunks []chunkVerify
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}{
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"empty": {
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samples: []sample{},
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},
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"has floats": {
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samples: []sample{
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{t: 1000, f: 43.0},
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{t: 1100, f: 42.0},
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},
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expectedCounterResets: []histogram.CounterResetHint{histogram.UnknownCounterReset, histogram.UnknownCounterReset},
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expectedChunks: []chunkVerify{
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{encoding: chunkenc.EncXOR, minTime: 1000, maxTime: 1100},
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},
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},
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"mix of floats and histograms": {
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samples: []sample{
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{t: 1000, f: 43.0},
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{t: 1100, h: h1},
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{t: 1200, f: 42.0},
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},
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expectedCounterResets: []histogram.CounterResetHint{histogram.UnknownCounterReset, histogram.UnknownCounterReset, histogram.UnknownCounterReset},
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expectedChunks: []chunkVerify{
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{encoding: chunkenc.EncXOR, minTime: 1000, maxTime: 1000},
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{encoding: chunkenc.EncHistogram, minTime: 1100, maxTime: 1100},
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{encoding: chunkenc.EncXOR, minTime: 1200, maxTime: 1200},
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},
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},
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"has a counter reset": {
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samples: []sample{
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{t: 1000, h: h2},
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{t: 1100, h: h1},
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},
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expectedCounterResets: []histogram.CounterResetHint{histogram.UnknownCounterReset, histogram.CounterReset},
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expectedChunks: []chunkVerify{
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{encoding: chunkenc.EncHistogram, minTime: 1000, maxTime: 1000},
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{encoding: chunkenc.EncHistogram, minTime: 1100, maxTime: 1100},
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},
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},
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"has a recoded histogram": { // Regression test for wrong minT, maxT in histogram recoding.
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samples: []sample{
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{t: 0, h: h1},
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{t: 1, h: h2},
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},
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expectedCounterResets: []histogram.CounterResetHint{histogram.UnknownCounterReset, histogram.NotCounterReset},
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expectedChunks: []chunkVerify{
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{encoding: chunkenc.EncHistogram, minTime: 0, maxTime: 1},
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},
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},
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}
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for name, tc := range testCases {
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t.Run(name, func(t *testing.T) {
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// Sanity check.
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require.Equal(t, len(tc.samples), len(tc.expectedCounterResets), "number of samples and counter resets")
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oooChunk := OOOChunk{}
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for _, s := range tc.samples {
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switch s.Type() {
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case chunkenc.ValFloat:
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oooChunk.Insert(s.t, s.f, nil, nil)
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case chunkenc.ValHistogram:
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oooChunk.Insert(s.t, 0, s.h.Copy(), nil)
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case chunkenc.ValFloatHistogram:
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oooChunk.Insert(s.t, 0, nil, s.fh.Copy())
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default:
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t.Fatalf("unexpected sample type %d", s.Type())
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}
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}
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chunks, err := oooChunk.ToEncodedChunks(math.MinInt64, math.MaxInt64)
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require.NoError(t, err)
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require.Equal(t, len(tc.expectedChunks), len(chunks), "number of chunks")
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sampleIndex := 0
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for i, c := range chunks {
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require.Equal(t, tc.expectedChunks[i].encoding, c.chunk.Encoding(), "chunk %d encoding", i)
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require.Equal(t, tc.expectedChunks[i].minTime, c.minTime, "chunk %d minTime", i)
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require.Equal(t, tc.expectedChunks[i].maxTime, c.maxTime, "chunk %d maxTime", i)
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samples, err := storage.ExpandSamples(c.chunk.Iterator(nil), newSample)
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require.GreaterOrEqual(t, len(tc.samples)-sampleIndex, len(samples), "too many samples in chunk %d expected less than %d", i, len(tc.samples)-sampleIndex)
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require.NoError(t, err)
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if len(samples) == 0 {
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// Ignore empty chunks.
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continue
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}
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switch c.chunk.Encoding() {
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case chunkenc.EncXOR:
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for j, s := range samples {
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require.Equal(t, chunkenc.ValFloat, s.Type())
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// XOR chunks don't have counter reset hints, so we shouldn't expect anything else than UnknownCounterReset.
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require.Equal(t, histogram.UnknownCounterReset, tc.expectedCounterResets[sampleIndex+j], "sample reset hint %d", sampleIndex+j)
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require.Equal(t, tc.samples[sampleIndex+j].f, s.F(), "sample %d", sampleIndex+j)
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}
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case chunkenc.EncHistogram:
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for j, s := range samples {
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require.Equal(t, chunkenc.ValHistogram, s.Type())
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require.Equal(t, tc.expectedCounterResets[sampleIndex+j], s.H().CounterResetHint, "sample reset hint %d", sampleIndex+j)
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compareTo := tc.samples[sampleIndex+j].h.Copy()
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compareTo.CounterResetHint = tc.expectedCounterResets[sampleIndex+j]
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require.Equal(t, compareTo, s.H().Compact(0), "sample %d", sampleIndex+j)
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}
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case chunkenc.EncFloatHistogram:
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for j, s := range samples {
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require.Equal(t, chunkenc.ValFloatHistogram, s.Type())
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require.Equal(t, tc.expectedCounterResets[sampleIndex+j], s.FH().CounterResetHint, "sample reset hint %d", sampleIndex+j)
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compareTo := tc.samples[sampleIndex+j].fh.Copy()
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compareTo.CounterResetHint = tc.expectedCounterResets[sampleIndex+j]
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require.Equal(t, compareTo, s.FH().Compact(0), "sample %d", sampleIndex+j)
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}
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}
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sampleIndex += len(samples)
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}
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require.Equal(t, len(tc.samples), sampleIndex, "number of samples")
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})
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}
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}
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