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288 lines
10 KiB
288 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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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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