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00ab05c3b9
* chunkenc: allow missing empty buckets on histogram append Allow appending to chunks when the histogram to be added is missing some buckets, but the missing buckets are empty in the chunk. For example bucket at index 5 is present in the chunk, but its value is 0 and the new histogram doesn't have a bucket at index 5. This fixes an issue of merging chunks where one chunk was recoded to retroactively have some empty buckets in all the histograms and we are merging in a histogram that doesn't have the empty bucket (because it was not recoded yet). The operation alters the histogram that is being added, however this has already been the case when appending gauge histograms. Thus the test TestHistogramSeriesToChunks in storage package is changed to explicitly test what happened to the appended histogram - Compact(0) call is removed. The new expandIntSpansAndBuckets and expandFloatSpansAndBuckets functions are a merge of expandSpansForward and counterResetInAnyBucket and counterResetInAnyFloatBucket. Signed-off-by: György Krajcsovits <gyorgy.krajcsovits@grafana.com>
657 lines
20 KiB
Go
657 lines
20 KiB
Go
// Copyright 2021 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 storage
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import (
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"fmt"
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"math"
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"testing"
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"github.com/stretchr/testify/require"
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"github.com/prometheus/prometheus/model/histogram"
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"github.com/prometheus/prometheus/model/labels"
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"github.com/prometheus/prometheus/model/value"
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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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func TestListSeriesIterator(t *testing.T) {
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it := NewListSeriesIterator(samples{
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fSample{0, 0},
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fSample{1, 1},
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fSample{1, 1.5},
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fSample{2, 2},
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fSample{3, 3},
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})
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// Seek to the first sample with ts=1.
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require.Equal(t, chunkenc.ValFloat, it.Seek(1))
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ts, v := it.At()
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require.Equal(t, int64(1), ts)
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require.Equal(t, 1., v)
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// Seek one further, next sample still has ts=1.
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require.Equal(t, chunkenc.ValFloat, it.Next())
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ts, v = it.At()
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require.Equal(t, int64(1), ts)
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require.Equal(t, 1.5, v)
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// Seek again to 1 and make sure we stay where we are.
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require.Equal(t, chunkenc.ValFloat, it.Seek(1))
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ts, v = it.At()
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require.Equal(t, int64(1), ts)
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require.Equal(t, 1.5, v)
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// Another seek.
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require.Equal(t, chunkenc.ValFloat, it.Seek(3))
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ts, v = it.At()
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require.Equal(t, int64(3), ts)
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require.Equal(t, 3., v)
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// And we don't go back.
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require.Equal(t, chunkenc.ValFloat, it.Seek(2))
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ts, v = it.At()
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require.Equal(t, int64(3), ts)
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require.Equal(t, 3., v)
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// Seek beyond the end.
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require.Equal(t, chunkenc.ValNone, it.Seek(5))
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// And we don't go back. (This exposes issue #10027.)
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require.Equal(t, chunkenc.ValNone, it.Seek(2))
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}
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// TestSeriesSetToChunkSet test the property of SeriesSet that says
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// returned series should be iterable even after Next is called.
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func TestChunkSeriesSetToSeriesSet(t *testing.T) {
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series := []struct {
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lbs labels.Labels
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samples []chunks.Sample
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}{
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{
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lbs: labels.FromStrings("__name__", "up", "instance", "localhost:8080"),
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samples: []chunks.Sample{
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fSample{t: 1, f: 1},
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fSample{t: 2, f: 2},
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fSample{t: 3, f: 3},
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fSample{t: 4, f: 4},
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},
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}, {
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lbs: labels.FromStrings("__name__", "up", "instance", "localhost:8081"),
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samples: []chunks.Sample{
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fSample{t: 1, f: 2},
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fSample{t: 2, f: 3},
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fSample{t: 3, f: 4},
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fSample{t: 4, f: 5},
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fSample{t: 5, f: 6},
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fSample{t: 6, f: 7},
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},
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},
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}
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var chunkSeries []ChunkSeries
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for _, s := range series {
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chunkSeries = append(chunkSeries, NewListChunkSeriesFromSamples(s.lbs, s.samples))
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}
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css := NewMockChunkSeriesSet(chunkSeries...)
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ss := NewSeriesSetFromChunkSeriesSet(css)
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var ssSlice []Series
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for ss.Next() {
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ssSlice = append(ssSlice, ss.At())
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}
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require.Len(t, ssSlice, 2)
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var iter chunkenc.Iterator
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for i, s := range ssSlice {
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require.EqualValues(t, series[i].lbs, s.Labels())
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iter = s.Iterator(iter)
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j := 0
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for iter.Next() == chunkenc.ValFloat {
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ts, v := iter.At()
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require.EqualValues(t, fSample{t: ts, f: v}, series[i].samples[j])
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j++
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}
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}
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}
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type histogramTest struct {
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samples []chunks.Sample
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expectedSamples []chunks.Sample
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expectedCounterResetHeaders []chunkenc.CounterResetHeader
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}
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func TestHistogramSeriesToChunks(t *testing.T) {
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h1 := &histogram.Histogram{
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Count: 7,
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ZeroCount: 2,
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ZeroThreshold: 0.001,
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Sum: 100,
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Schema: 0,
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PositiveSpans: []histogram.Span{
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{Offset: 0, Length: 2},
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},
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PositiveBuckets: []int64{2, 1}, // Abs: 2, 3
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}
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// h1 but with an extra empty bucket at offset -10.
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// This can happen if h1 is from a recoded chunk, where a later histogram had a bucket at offset -10.
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h1ExtraBuckets := &histogram.Histogram{
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Count: 7,
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ZeroCount: 2,
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ZeroThreshold: 0.001,
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Sum: 100,
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Schema: 0,
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PositiveSpans: []histogram.Span{
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{Offset: -10, Length: 1},
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{Offset: 9, Length: 2},
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},
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PositiveBuckets: []int64{0, 2, 1}, // Abs: 0, 2, 3
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}
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h1Recoded := &histogram.Histogram{
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Count: 7,
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ZeroCount: 2,
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ZeroThreshold: 0.001,
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Sum: 100,
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Schema: 0,
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PositiveSpans: []histogram.Span{
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{Offset: 0, Length: 2},
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{Offset: 1, Length: 2},
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},
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PositiveBuckets: []int64{2, 1, -3, 0}, // Abs: 2, 3, 0, 0
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}
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// Appendable to h1.
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h2 := &histogram.Histogram{
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Count: 12,
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ZeroCount: 2,
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ZeroThreshold: 0.001,
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Sum: 100,
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Schema: 0,
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PositiveSpans: []histogram.Span{
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{Offset: 0, Length: 2},
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{Offset: 1, Length: 2},
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},
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PositiveBuckets: []int64{2, 1, -2, 3}, // Abs: 2, 3, 1, 4
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}
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// Implicit counter reset by reduction in buckets, not appendable.
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h2down := &histogram.Histogram{
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Count: 10,
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ZeroCount: 2,
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ZeroThreshold: 0.001,
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Sum: 100,
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Schema: 0,
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PositiveSpans: []histogram.Span{
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{Offset: 0, Length: 2},
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{Offset: 1, Length: 2},
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},
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PositiveBuckets: []int64{1, 1, -1, 3}, // Abs: 1, 2, 1, 4
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}
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fh1 := &histogram.FloatHistogram{
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Count: 6,
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ZeroCount: 2,
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ZeroThreshold: 0.001,
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Sum: 100,
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Schema: 0,
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PositiveSpans: []histogram.Span{
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{Offset: 0, Length: 2},
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},
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PositiveBuckets: []float64{3, 1},
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}
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// fh1 but with an extra empty bucket at offset -10.
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// This can happen if fh1 is from a recoded chunk, where a later histogram had a bucket at offset -10.
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fh1ExtraBuckets := &histogram.FloatHistogram{
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Count: 6,
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ZeroCount: 2,
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ZeroThreshold: 0.001,
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Sum: 100,
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Schema: 0,
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PositiveSpans: []histogram.Span{
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{Offset: -10, Length: 1},
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{Offset: 9, Length: 2},
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},
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PositiveBuckets: []float64{0, 3, 1},
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}
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fh1Recoded := &histogram.FloatHistogram{
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Count: 6,
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ZeroCount: 2,
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ZeroThreshold: 0.001,
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Sum: 100,
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Schema: 0,
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PositiveSpans: []histogram.Span{
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{Offset: 0, Length: 2},
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{Offset: 1, Length: 2},
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},
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PositiveBuckets: []float64{3, 1, 0, 0},
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}
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// Appendable to fh1.
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fh2 := &histogram.FloatHistogram{
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Count: 17,
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ZeroCount: 2,
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ZeroThreshold: 0.001,
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Sum: 100,
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Schema: 0,
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PositiveSpans: []histogram.Span{
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{Offset: 0, Length: 2},
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{Offset: 1, Length: 2},
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},
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PositiveBuckets: []float64{4, 2, 7, 2},
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}
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// Implicit counter reset by reduction in buckets, not appendable.
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fh2down := &histogram.FloatHistogram{
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Count: 15,
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ZeroCount: 2,
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ZeroThreshold: 0.001,
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Sum: 100,
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Schema: 0,
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PositiveSpans: []histogram.Span{
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{Offset: 0, Length: 2},
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{Offset: 1, Length: 2},
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},
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PositiveBuckets: []float64{2, 2, 7, 2},
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}
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// Gauge histogram.
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gh1 := &histogram.Histogram{
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CounterResetHint: histogram.GaugeType,
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Count: 7,
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ZeroCount: 2,
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ZeroThreshold: 0.001,
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Sum: 100,
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Schema: 0,
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PositiveSpans: []histogram.Span{
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{Offset: 0, Length: 2},
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},
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PositiveBuckets: []int64{2, 1}, // Abs: 2, 3
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}
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// gh1 recoded to add extra empty buckets at end.
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gh1Recoded := &histogram.Histogram{
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CounterResetHint: histogram.GaugeType,
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Count: 7,
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ZeroCount: 2,
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ZeroThreshold: 0.001,
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Sum: 100,
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Schema: 0,
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PositiveSpans: []histogram.Span{
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{Offset: 0, Length: 2},
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{Offset: 1, Length: 2},
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},
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PositiveBuckets: []int64{2, 1, -3, 0}, // Abs: 2, 3, 0, 0
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}
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gh2 := &histogram.Histogram{
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CounterResetHint: histogram.GaugeType,
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Count: 12,
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ZeroCount: 2,
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ZeroThreshold: 0.001,
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Sum: 100,
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Schema: 0,
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PositiveSpans: []histogram.Span{
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{Offset: 0, Length: 2},
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{Offset: 1, Length: 2},
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},
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PositiveBuckets: []int64{2, 1, -2, 3}, // Abs: 2, 3, 1, 4
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}
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// Float gauge histogram.
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gfh1 := &histogram.FloatHistogram{
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CounterResetHint: histogram.GaugeType,
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Count: 6,
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ZeroCount: 2,
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ZeroThreshold: 0.001,
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Sum: 100,
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Schema: 0,
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PositiveSpans: []histogram.Span{
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{Offset: 0, Length: 2},
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},
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PositiveBuckets: []float64{3, 1},
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}
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// gfh1 recoded to add an extra empty buckets at end.
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gfh1Recoded := &histogram.FloatHistogram{
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CounterResetHint: histogram.GaugeType,
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Count: 6,
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ZeroCount: 2,
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ZeroThreshold: 0.001,
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Sum: 100,
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Schema: 0,
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PositiveSpans: []histogram.Span{
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{Offset: 0, Length: 2},
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{Offset: 1, Length: 2},
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},
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PositiveBuckets: []float64{3, 1, 0, 0},
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}
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gfh2 := &histogram.FloatHistogram{
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CounterResetHint: histogram.GaugeType,
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Count: 17,
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ZeroCount: 2,
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ZeroThreshold: 0.001,
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Sum: 100,
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Schema: 0,
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PositiveSpans: []histogram.Span{
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{Offset: 0, Length: 2},
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{Offset: 1, Length: 2},
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},
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PositiveBuckets: []float64{4, 2, 7, 2},
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}
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staleHistogram := &histogram.Histogram{
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Sum: math.Float64frombits(value.StaleNaN),
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}
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staleFloatHistogram := &histogram.FloatHistogram{
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Sum: math.Float64frombits(value.StaleNaN),
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}
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tests := map[string]histogramTest{
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"single histogram to single chunk": {
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samples: []chunks.Sample{
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hSample{t: 1, h: h1},
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},
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expectedSamples: []chunks.Sample{
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hSample{t: 1, h: h1},
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},
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expectedCounterResetHeaders: []chunkenc.CounterResetHeader{chunkenc.UnknownCounterReset},
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},
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"two histograms encoded to a single chunk": {
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samples: []chunks.Sample{
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hSample{t: 1, h: h1},
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hSample{t: 2, h: h2},
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},
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expectedSamples: []chunks.Sample{
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hSample{t: 1, h: h1Recoded},
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hSample{t: 2, h: h2},
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},
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expectedCounterResetHeaders: []chunkenc.CounterResetHeader{chunkenc.UnknownCounterReset},
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},
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"two histograms encoded to two chunks": {
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samples: []chunks.Sample{
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hSample{t: 1, h: h2},
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hSample{t: 2, h: h1},
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},
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expectedSamples: []chunks.Sample{
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hSample{t: 1, h: h2},
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hSample{t: 2, h: h1},
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},
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expectedCounterResetHeaders: []chunkenc.CounterResetHeader{chunkenc.UnknownCounterReset, chunkenc.CounterReset},
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},
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"histogram and stale sample encoded to two chunks": {
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samples: []chunks.Sample{
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hSample{t: 1, h: staleHistogram},
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hSample{t: 2, h: h1},
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},
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expectedSamples: []chunks.Sample{
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hSample{t: 1, h: staleHistogram},
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hSample{t: 2, h: h1},
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},
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expectedCounterResetHeaders: []chunkenc.CounterResetHeader{chunkenc.UnknownCounterReset, chunkenc.UnknownCounterReset},
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},
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"histogram and reduction in bucket encoded to two chunks": {
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samples: []chunks.Sample{
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hSample{t: 1, h: h1},
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hSample{t: 2, h: h2down},
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},
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expectedSamples: []chunks.Sample{
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hSample{t: 1, h: h1},
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hSample{t: 2, h: h2down},
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},
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expectedCounterResetHeaders: []chunkenc.CounterResetHeader{chunkenc.UnknownCounterReset, chunkenc.CounterReset},
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},
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// Float histograms.
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"single float histogram to single chunk": {
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samples: []chunks.Sample{
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fhSample{t: 1, fh: fh1},
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},
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expectedSamples: []chunks.Sample{
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fhSample{t: 1, fh: fh1},
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},
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expectedCounterResetHeaders: []chunkenc.CounterResetHeader{chunkenc.UnknownCounterReset},
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},
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"two float histograms encoded to a single chunk": {
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samples: []chunks.Sample{
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fhSample{t: 1, fh: fh1},
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fhSample{t: 2, fh: fh2},
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},
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expectedSamples: []chunks.Sample{
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fhSample{t: 1, fh: fh1Recoded},
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fhSample{t: 2, fh: fh2},
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},
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expectedCounterResetHeaders: []chunkenc.CounterResetHeader{chunkenc.UnknownCounterReset},
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},
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"two float histograms encoded to two chunks": {
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samples: []chunks.Sample{
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fhSample{t: 1, fh: fh2},
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fhSample{t: 2, fh: fh1},
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},
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expectedSamples: []chunks.Sample{
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fhSample{t: 1, fh: fh2},
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fhSample{t: 2, fh: fh1},
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},
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expectedCounterResetHeaders: []chunkenc.CounterResetHeader{chunkenc.UnknownCounterReset, chunkenc.CounterReset},
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},
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"float histogram and stale sample encoded to two chunks": {
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samples: []chunks.Sample{
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fhSample{t: 1, fh: staleFloatHistogram},
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fhSample{t: 2, fh: fh1},
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},
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expectedSamples: []chunks.Sample{
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fhSample{t: 1, fh: staleFloatHistogram},
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fhSample{t: 2, fh: fh1},
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},
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expectedCounterResetHeaders: []chunkenc.CounterResetHeader{chunkenc.UnknownCounterReset, chunkenc.UnknownCounterReset},
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},
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"float histogram and reduction in bucket encoded to two chunks": {
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samples: []chunks.Sample{
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fhSample{t: 1, fh: fh1},
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fhSample{t: 2, fh: fh2down},
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},
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expectedSamples: []chunks.Sample{
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fhSample{t: 1, fh: fh1},
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fhSample{t: 2, fh: fh2down},
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},
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expectedCounterResetHeaders: []chunkenc.CounterResetHeader{chunkenc.UnknownCounterReset, chunkenc.CounterReset},
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},
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// Mixed.
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"histogram and float histogram encoded to two chunks": {
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samples: []chunks.Sample{
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hSample{t: 1, h: h1},
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fhSample{t: 2, fh: fh2},
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},
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expectedSamples: []chunks.Sample{
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hSample{t: 1, h: h1},
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fhSample{t: 2, fh: fh2},
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},
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expectedCounterResetHeaders: []chunkenc.CounterResetHeader{chunkenc.UnknownCounterReset, chunkenc.UnknownCounterReset},
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},
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"float histogram and histogram encoded to two chunks": {
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samples: []chunks.Sample{
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fhSample{t: 1, fh: fh1},
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hSample{t: 2, h: h2},
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},
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expectedSamples: []chunks.Sample{
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fhSample{t: 1, fh: fh1},
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hSample{t: 2, h: h2},
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},
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expectedCounterResetHeaders: []chunkenc.CounterResetHeader{chunkenc.UnknownCounterReset, chunkenc.UnknownCounterReset},
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},
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"histogram and stale float histogram encoded to two chunks": {
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samples: []chunks.Sample{
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hSample{t: 1, h: h1},
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|
fhSample{t: 2, fh: staleFloatHistogram},
|
|
},
|
|
expectedSamples: []chunks.Sample{
|
|
hSample{t: 1, h: h1},
|
|
fhSample{t: 2, fh: staleFloatHistogram},
|
|
},
|
|
expectedCounterResetHeaders: []chunkenc.CounterResetHeader{chunkenc.UnknownCounterReset, chunkenc.UnknownCounterReset},
|
|
},
|
|
"single gauge histogram encoded to one chunk": {
|
|
samples: []chunks.Sample{
|
|
hSample{t: 1, h: gh1},
|
|
},
|
|
expectedSamples: []chunks.Sample{
|
|
hSample{t: 1, h: gh1},
|
|
},
|
|
expectedCounterResetHeaders: []chunkenc.CounterResetHeader{chunkenc.GaugeType},
|
|
},
|
|
"two gauge histograms encoded to one chunk when counter increases": {
|
|
samples: []chunks.Sample{
|
|
hSample{t: 1, h: gh1},
|
|
hSample{t: 2, h: gh2},
|
|
},
|
|
expectedSamples: []chunks.Sample{
|
|
hSample{t: 1, h: gh1Recoded},
|
|
hSample{t: 2, h: gh2},
|
|
},
|
|
expectedCounterResetHeaders: []chunkenc.CounterResetHeader{chunkenc.GaugeType},
|
|
},
|
|
"two gauge histograms encoded to one chunk when counter decreases": {
|
|
samples: []chunks.Sample{
|
|
hSample{t: 1, h: gh2},
|
|
hSample{t: 2, h: gh1},
|
|
},
|
|
expectedSamples: []chunks.Sample{
|
|
hSample{t: 1, h: gh2},
|
|
hSample{t: 2, h: gh1Recoded},
|
|
},
|
|
expectedCounterResetHeaders: []chunkenc.CounterResetHeader{chunkenc.GaugeType},
|
|
},
|
|
"single gauge float histogram encoded to one chunk": {
|
|
samples: []chunks.Sample{
|
|
fhSample{t: 1, fh: gfh1},
|
|
},
|
|
expectedSamples: []chunks.Sample{
|
|
fhSample{t: 1, fh: gfh1},
|
|
},
|
|
expectedCounterResetHeaders: []chunkenc.CounterResetHeader{chunkenc.GaugeType},
|
|
},
|
|
"two float gauge histograms encoded to one chunk when counter increases": {
|
|
samples: []chunks.Sample{
|
|
fhSample{t: 1, fh: gfh1},
|
|
fhSample{t: 2, fh: gfh2},
|
|
},
|
|
expectedSamples: []chunks.Sample{
|
|
fhSample{t: 1, fh: gfh1Recoded},
|
|
fhSample{t: 2, fh: gfh2},
|
|
},
|
|
expectedCounterResetHeaders: []chunkenc.CounterResetHeader{chunkenc.GaugeType},
|
|
},
|
|
"two float gauge histograms encoded to one chunk when counter decreases": {
|
|
samples: []chunks.Sample{
|
|
fhSample{t: 1, fh: gfh2},
|
|
fhSample{t: 2, fh: gfh1},
|
|
},
|
|
expectedSamples: []chunks.Sample{
|
|
fhSample{t: 1, fh: gfh2},
|
|
fhSample{t: 2, fh: gfh1Recoded},
|
|
},
|
|
expectedCounterResetHeaders: []chunkenc.CounterResetHeader{chunkenc.GaugeType},
|
|
},
|
|
"histogram with extra empty bucket followed by histogram encodes to one chunk": {
|
|
samples: []chunks.Sample{
|
|
hSample{t: 1, h: h1ExtraBuckets},
|
|
hSample{t: 2, h: h1},
|
|
},
|
|
expectedSamples: []chunks.Sample{
|
|
hSample{t: 1, h: h1ExtraBuckets},
|
|
hSample{t: 2, h: h1ExtraBuckets}, // Recoded to add the missing buckets.
|
|
},
|
|
expectedCounterResetHeaders: []chunkenc.CounterResetHeader{chunkenc.UnknownCounterReset},
|
|
},
|
|
"float histogram with extra empty bucket followed by float histogram encodes to one chunk": {
|
|
samples: []chunks.Sample{
|
|
fhSample{t: 1, fh: fh1ExtraBuckets},
|
|
fhSample{t: 2, fh: fh1},
|
|
},
|
|
expectedSamples: []chunks.Sample{
|
|
fhSample{t: 1, fh: fh1ExtraBuckets},
|
|
fhSample{t: 2, fh: fh1ExtraBuckets}, // Recoded to add the missing buckets.
|
|
},
|
|
expectedCounterResetHeaders: []chunkenc.CounterResetHeader{chunkenc.UnknownCounterReset},
|
|
},
|
|
}
|
|
|
|
for testName, test := range tests {
|
|
t.Run(testName, func(t *testing.T) {
|
|
testHistogramsSeriesToChunks(t, test)
|
|
})
|
|
}
|
|
}
|
|
|
|
func testHistogramsSeriesToChunks(t *testing.T, test histogramTest) {
|
|
lbs := labels.FromStrings("__name__", "up", "instance", "localhost:8080")
|
|
copiedSamples := []chunks.Sample{}
|
|
for _, s := range test.samples {
|
|
switch cs := s.(type) {
|
|
case hSample:
|
|
copiedSamples = append(copiedSamples, hSample{t: cs.t, h: cs.h.Copy()})
|
|
case fhSample:
|
|
copiedSamples = append(copiedSamples, fhSample{t: cs.t, fh: cs.fh.Copy()})
|
|
default:
|
|
t.Error("internal error, unexpected type")
|
|
}
|
|
}
|
|
series := NewListSeries(lbs, copiedSamples)
|
|
encoder := NewSeriesToChunkEncoder(series)
|
|
require.EqualValues(t, lbs, encoder.Labels())
|
|
|
|
chks, err := ExpandChunks(encoder.Iterator(nil))
|
|
require.NoError(t, err)
|
|
require.Equal(t, len(test.expectedCounterResetHeaders), len(chks))
|
|
|
|
// Decode all encoded samples and assert they are equal to the original ones.
|
|
encodedSamples := chunks.ChunkMetasToSamples(chks)
|
|
require.Equal(t, len(test.expectedSamples), len(encodedSamples))
|
|
|
|
for i, s := range test.expectedSamples {
|
|
encodedSample := encodedSamples[i]
|
|
switch expectedSample := s.(type) {
|
|
case hSample:
|
|
require.Equal(t, chunkenc.ValHistogram, encodedSample.Type(), "expect histogram", fmt.Sprintf("at idx %d", i))
|
|
h := encodedSample.H()
|
|
// Ignore counter reset if not gauge here, will check on chunk level.
|
|
if expectedSample.h.CounterResetHint != histogram.GaugeType {
|
|
h.CounterResetHint = histogram.UnknownCounterReset
|
|
}
|
|
if value.IsStaleNaN(expectedSample.h.Sum) {
|
|
require.True(t, value.IsStaleNaN(h.Sum), fmt.Sprintf("at idx %d", i))
|
|
continue
|
|
}
|
|
require.Equal(t, *expectedSample.h, *h, fmt.Sprintf("at idx %d", i))
|
|
case fhSample:
|
|
require.Equal(t, chunkenc.ValFloatHistogram, encodedSample.Type(), "expect float histogram", fmt.Sprintf("at idx %d", i))
|
|
fh := encodedSample.FH()
|
|
// Ignore counter reset if not gauge here, will check on chunk level.
|
|
if expectedSample.fh.CounterResetHint != histogram.GaugeType {
|
|
fh.CounterResetHint = histogram.UnknownCounterReset
|
|
}
|
|
if value.IsStaleNaN(expectedSample.fh.Sum) {
|
|
require.True(t, value.IsStaleNaN(fh.Sum), fmt.Sprintf("at idx %d", i))
|
|
continue
|
|
}
|
|
require.Equal(t, *expectedSample.fh, *fh, fmt.Sprintf("at idx %d", i))
|
|
default:
|
|
t.Error("internal error, unexpected type")
|
|
}
|
|
}
|
|
|
|
for i, expectedCounterResetHint := range test.expectedCounterResetHeaders {
|
|
require.Equal(t, expectedCounterResetHint, getCounterResetHint(chks[i]), fmt.Sprintf("chunk at index %d", i))
|
|
}
|
|
}
|
|
|
|
func getCounterResetHint(chunk chunks.Meta) chunkenc.CounterResetHeader {
|
|
switch chk := chunk.Chunk.(type) {
|
|
case *chunkenc.HistogramChunk:
|
|
return chk.GetCounterResetHeader()
|
|
case *chunkenc.FloatHistogramChunk:
|
|
return chk.GetCounterResetHeader()
|
|
}
|
|
return chunkenc.UnknownCounterReset
|
|
}
|