mirror of
https://github.com/prometheus/prometheus.git
synced 2024-12-27 06:29:42 -08:00
817a2396cb
In the past, every sample value was a float, so it was fine to call a variable holding such a float "value" or "sample". With native histograms, a sample might have a histogram value. And a histogram value is still a value. Calling a float value just "value" or "sample" or "V" is therefore misleading. Over the last few commits, I already renamed many variables, but this cleans up a few more places where the changes are more invasive. Note that we do not to attempt naming in the JSON APIs or in the protobufs. That would be quite a disruption. However, internally, we can call variables as we want, and we should go with the option of avoiding misunderstandings. Signed-off-by: beorn7 <beorn@grafana.com>
738 lines
24 KiB
Go
738 lines
24 KiB
Go
// Copyright 2017 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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"context"
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"encoding/binary"
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"errors"
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"fmt"
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"hash/crc32"
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"math/rand"
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"os"
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"path/filepath"
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"sort"
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"strconv"
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"testing"
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"github.com/go-kit/log"
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prom_testutil "github.com/prometheus/client_golang/prometheus/testutil"
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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/storage"
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"github.com/prometheus/prometheus/tsdb/chunkenc"
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"github.com/prometheus/prometheus/tsdb/chunks"
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"github.com/prometheus/prometheus/tsdb/fileutil"
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"github.com/prometheus/prometheus/tsdb/tsdbutil"
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"github.com/prometheus/prometheus/tsdb/wlog"
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)
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// In Prometheus 2.1.0 we had a bug where the meta.json version was falsely bumped
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// to 2. We had a migration in place resetting it to 1 but we should move immediately to
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// version 3 next time to avoid confusion and issues.
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func TestBlockMetaMustNeverBeVersion2(t *testing.T) {
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dir := t.TempDir()
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_, err := writeMetaFile(log.NewNopLogger(), dir, &BlockMeta{})
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require.NoError(t, err)
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meta, _, err := readMetaFile(dir)
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require.NoError(t, err)
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require.NotEqual(t, 2, meta.Version, "meta.json version must never be 2")
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}
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func TestSetCompactionFailed(t *testing.T) {
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tmpdir := t.TempDir()
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blockDir := createBlock(t, tmpdir, genSeries(1, 1, 0, 1))
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b, err := OpenBlock(nil, blockDir, nil)
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require.NoError(t, err)
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require.Equal(t, false, b.meta.Compaction.Failed)
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require.NoError(t, b.setCompactionFailed())
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require.Equal(t, true, b.meta.Compaction.Failed)
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require.NoError(t, b.Close())
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b, err = OpenBlock(nil, blockDir, nil)
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require.NoError(t, err)
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require.Equal(t, true, b.meta.Compaction.Failed)
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require.NoError(t, b.Close())
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}
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func TestCreateBlock(t *testing.T) {
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tmpdir := t.TempDir()
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b, err := OpenBlock(nil, createBlock(t, tmpdir, genSeries(1, 1, 0, 10)), nil)
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require.NoError(t, err)
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require.NoError(t, b.Close())
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}
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func BenchmarkOpenBlock(b *testing.B) {
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tmpdir := b.TempDir()
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blockDir := createBlock(b, tmpdir, genSeries(1e6, 20, 0, 10))
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b.Run("benchmark", func(b *testing.B) {
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for i := 0; i < b.N; i++ {
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block, err := OpenBlock(nil, blockDir, nil)
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require.NoError(b, err)
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require.NoError(b, block.Close())
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}
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})
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}
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func TestCorruptedChunk(t *testing.T) {
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for _, tc := range []struct {
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name string
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corrFunc func(f *os.File) // Func that applies the corruption.
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openErr error
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iterErr error
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}{
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{
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name: "invalid header size",
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corrFunc: func(f *os.File) {
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require.NoError(t, f.Truncate(1))
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},
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openErr: errors.New("invalid segment header in segment 0: invalid size"),
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},
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{
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name: "invalid magic number",
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corrFunc: func(f *os.File) {
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magicChunksOffset := int64(0)
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_, err := f.Seek(magicChunksOffset, 0)
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require.NoError(t, err)
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// Set invalid magic number.
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b := make([]byte, chunks.MagicChunksSize)
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binary.BigEndian.PutUint32(b[:chunks.MagicChunksSize], 0x00000000)
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n, err := f.Write(b)
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require.NoError(t, err)
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require.Equal(t, chunks.MagicChunksSize, n)
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},
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openErr: errors.New("invalid magic number 0"),
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},
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{
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name: "invalid chunk format version",
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corrFunc: func(f *os.File) {
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chunksFormatVersionOffset := int64(4)
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_, err := f.Seek(chunksFormatVersionOffset, 0)
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require.NoError(t, err)
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// Set invalid chunk format version.
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b := make([]byte, chunks.ChunksFormatVersionSize)
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b[0] = 0
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n, err := f.Write(b)
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require.NoError(t, err)
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require.Equal(t, chunks.ChunksFormatVersionSize, n)
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},
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openErr: errors.New("invalid chunk format version 0"),
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},
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{
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name: "chunk not enough bytes to read the chunk length",
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corrFunc: func(f *os.File) {
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// Truncate one byte after the segment header.
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require.NoError(t, f.Truncate(chunks.SegmentHeaderSize+1))
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},
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iterErr: errors.New("cannot populate chunk 8 from block 00000000000000000000000000: segment doesn't include enough bytes to read the chunk size data field - required:13, available:9"),
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},
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{
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name: "chunk not enough bytes to read the data",
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corrFunc: func(f *os.File) {
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fi, err := f.Stat()
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require.NoError(t, err)
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require.NoError(t, f.Truncate(fi.Size()-1))
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},
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iterErr: errors.New("cannot populate chunk 8 from block 00000000000000000000000000: segment doesn't include enough bytes to read the chunk - required:26, available:25"),
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},
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{
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name: "checksum mismatch",
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corrFunc: func(f *os.File) {
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fi, err := f.Stat()
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require.NoError(t, err)
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// Get the chunk data end offset.
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chkEndOffset := int(fi.Size()) - crc32.Size
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// Seek to the last byte of chunk data and modify it.
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_, err = f.Seek(int64(chkEndOffset-1), 0)
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require.NoError(t, err)
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n, err := f.Write([]byte("x"))
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require.NoError(t, err)
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require.Equal(t, n, 1)
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},
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iterErr: errors.New("cannot populate chunk 8 from block 00000000000000000000000000: checksum mismatch expected:cfc0526c, actual:34815eae"),
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},
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} {
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t.Run(tc.name, func(t *testing.T) {
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tmpdir := t.TempDir()
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series := storage.NewListSeries(labels.FromStrings("a", "b"), []tsdbutil.Sample{sample{1, 1, nil, nil}})
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blockDir := createBlock(t, tmpdir, []storage.Series{series})
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files, err := sequenceFiles(chunkDir(blockDir))
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require.NoError(t, err)
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require.Greater(t, len(files), 0, "No chunk created.")
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f, err := os.OpenFile(files[0], os.O_RDWR, 0o666)
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require.NoError(t, err)
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// Apply corruption function.
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tc.corrFunc(f)
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require.NoError(t, f.Close())
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// Check open err.
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b, err := OpenBlock(nil, blockDir, nil)
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if tc.openErr != nil {
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require.Equal(t, tc.openErr.Error(), err.Error())
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return
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}
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defer func() { require.NoError(t, b.Close()) }()
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querier, err := NewBlockQuerier(b, 0, 1)
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require.NoError(t, err)
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defer func() { require.NoError(t, querier.Close()) }()
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set := querier.Select(false, nil, labels.MustNewMatcher(labels.MatchEqual, "a", "b"))
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// Check chunk errors during iter time.
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require.True(t, set.Next())
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it := set.At().Iterator(nil)
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require.Equal(t, chunkenc.ValNone, it.Next())
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require.Equal(t, tc.iterErr.Error(), it.Err().Error())
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})
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}
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}
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func TestLabelValuesWithMatchers(t *testing.T) {
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tmpdir := t.TempDir()
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var seriesEntries []storage.Series
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for i := 0; i < 100; i++ {
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seriesEntries = append(seriesEntries, storage.NewListSeries(labels.FromStrings(
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"tens", fmt.Sprintf("value%d", i/10),
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"unique", fmt.Sprintf("value%d", i),
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), []tsdbutil.Sample{sample{100, 0, nil, nil}}))
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}
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blockDir := createBlock(t, tmpdir, seriesEntries)
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files, err := sequenceFiles(chunkDir(blockDir))
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require.NoError(t, err)
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require.Greater(t, len(files), 0, "No chunk created.")
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// Check open err.
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block, err := OpenBlock(nil, blockDir, nil)
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require.NoError(t, err)
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defer func() { require.NoError(t, block.Close()) }()
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indexReader, err := block.Index()
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require.NoError(t, err)
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defer func() { require.NoError(t, indexReader.Close()) }()
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testCases := []struct {
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name string
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labelName string
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matchers []*labels.Matcher
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expectedValues []string
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}{
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{
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name: "get tens based on unique id",
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labelName: "tens",
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matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "unique", "value35")},
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expectedValues: []string{"value3"},
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}, {
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name: "get unique ids based on a ten",
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labelName: "unique",
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matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "tens", "value1")},
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expectedValues: []string{"value10", "value11", "value12", "value13", "value14", "value15", "value16", "value17", "value18", "value19"},
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}, {
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name: "get tens by pattern matching on unique id",
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labelName: "tens",
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matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchRegexp, "unique", "value[5-7]5")},
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expectedValues: []string{"value5", "value6", "value7"},
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}, {
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name: "get tens by matching for absence of unique label",
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labelName: "tens",
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matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchNotEqual, "unique", "")},
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expectedValues: []string{"value0", "value1", "value2", "value3", "value4", "value5", "value6", "value7", "value8", "value9"},
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},
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}
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for _, tt := range testCases {
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t.Run(tt.name, func(t *testing.T) {
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actualValues, err := indexReader.SortedLabelValues(tt.labelName, tt.matchers...)
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require.NoError(t, err)
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require.Equal(t, tt.expectedValues, actualValues)
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actualValues, err = indexReader.LabelValues(tt.labelName, tt.matchers...)
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sort.Strings(actualValues)
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require.NoError(t, err)
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require.Equal(t, tt.expectedValues, actualValues)
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})
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}
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}
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// TestBlockSize ensures that the block size is calculated correctly.
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func TestBlockSize(t *testing.T) {
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tmpdir := t.TempDir()
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var (
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blockInit *Block
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expSizeInit int64
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blockDirInit string
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err error
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)
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// Create a block and compare the reported size vs actual disk size.
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{
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blockDirInit = createBlock(t, tmpdir, genSeries(10, 1, 1, 100))
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blockInit, err = OpenBlock(nil, blockDirInit, nil)
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require.NoError(t, err)
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defer func() {
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require.NoError(t, blockInit.Close())
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}()
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expSizeInit = blockInit.Size()
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actSizeInit, err := fileutil.DirSize(blockInit.Dir())
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require.NoError(t, err)
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require.Equal(t, expSizeInit, actSizeInit)
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}
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// Delete some series and check the sizes again.
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{
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require.NoError(t, blockInit.Delete(1, 10, labels.MustNewMatcher(labels.MatchRegexp, "", ".*")))
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expAfterDelete := blockInit.Size()
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require.Greater(t, expAfterDelete, expSizeInit, "after a delete the block size should be bigger as the tombstone file should grow %v > %v", expAfterDelete, expSizeInit)
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actAfterDelete, err := fileutil.DirSize(blockDirInit)
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require.NoError(t, err)
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require.Equal(t, expAfterDelete, actAfterDelete, "after a delete reported block size doesn't match actual disk size")
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c, err := NewLeveledCompactor(context.Background(), nil, log.NewNopLogger(), []int64{0}, nil, nil)
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require.NoError(t, err)
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blockDirAfterCompact, err := c.Compact(tmpdir, []string{blockInit.Dir()}, nil)
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require.NoError(t, err)
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blockAfterCompact, err := OpenBlock(nil, filepath.Join(tmpdir, blockDirAfterCompact.String()), nil)
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require.NoError(t, err)
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defer func() {
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require.NoError(t, blockAfterCompact.Close())
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}()
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expAfterCompact := blockAfterCompact.Size()
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actAfterCompact, err := fileutil.DirSize(blockAfterCompact.Dir())
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require.NoError(t, err)
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require.Greater(t, actAfterDelete, actAfterCompact, "after a delete and compaction the block size should be smaller %v,%v", actAfterDelete, actAfterCompact)
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require.Equal(t, expAfterCompact, actAfterCompact, "after a delete and compaction reported block size doesn't match actual disk size")
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}
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}
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func TestReadIndexFormatV1(t *testing.T) {
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/* The block here was produced at the commit
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706602daed1487f7849990678b4ece4599745905 used in 2.0.0 with:
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db, _ := Open("v1db", nil, nil, nil)
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app := db.Appender()
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app.Add(labels.FromStrings("foo", "bar"), 1, 2)
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app.Add(labels.FromStrings("foo", "baz"), 3, 4)
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app.Add(labels.FromStrings("foo", "meh"), 1000*3600*4, 4) // Not in the block.
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// Make sure we've enough values for the lack of sorting of postings offsets to show up.
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for i := 0; i < 100; i++ {
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app.Add(labels.FromStrings("bar", strconv.FormatInt(int64(i), 10)), 0, 0)
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}
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app.Commit()
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db.compact()
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db.Close()
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*/
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blockDir := filepath.Join("testdata", "index_format_v1")
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block, err := OpenBlock(nil, blockDir, nil)
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require.NoError(t, err)
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q, err := NewBlockQuerier(block, 0, 1000)
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require.NoError(t, err)
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require.Equal(t, query(t, q, labels.MustNewMatcher(labels.MatchEqual, "foo", "bar")),
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map[string][]tsdbutil.Sample{`{foo="bar"}`: {sample{t: 1, f: 2}}})
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q, err = NewBlockQuerier(block, 0, 1000)
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require.NoError(t, err)
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require.Equal(t, query(t, q, labels.MustNewMatcher(labels.MatchNotRegexp, "foo", "^.?$")),
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map[string][]tsdbutil.Sample{
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`{foo="bar"}`: {sample{t: 1, f: 2}},
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`{foo="baz"}`: {sample{t: 3, f: 4}},
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})
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}
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func BenchmarkLabelValuesWithMatchers(b *testing.B) {
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tmpdir := b.TempDir()
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var seriesEntries []storage.Series
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metricCount := 1000000
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for i := 0; i < metricCount; i++ {
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// Note these series are not created in sort order: 'value2' sorts after 'value10'.
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// This makes a big difference to the benchmark timing.
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seriesEntries = append(seriesEntries, storage.NewListSeries(labels.FromStrings(
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"a_unique", fmt.Sprintf("value%d", i),
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"b_tens", fmt.Sprintf("value%d", i/(metricCount/10)),
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"c_ninety", fmt.Sprintf("value%d", i/(metricCount/10)/9), // "0" for the first 90%, then "1"
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), []tsdbutil.Sample{sample{100, 0, nil, nil}}))
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}
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blockDir := createBlock(b, tmpdir, seriesEntries)
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files, err := sequenceFiles(chunkDir(blockDir))
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require.NoError(b, err)
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require.Greater(b, len(files), 0, "No chunk created.")
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// Check open err.
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block, err := OpenBlock(nil, blockDir, nil)
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require.NoError(b, err)
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defer func() { require.NoError(b, block.Close()) }()
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indexReader, err := block.Index()
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require.NoError(b, err)
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defer func() { require.NoError(b, indexReader.Close()) }()
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matchers := []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "c_ninety", "value0")}
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b.ResetTimer()
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b.ReportAllocs()
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for benchIdx := 0; benchIdx < b.N; benchIdx++ {
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actualValues, err := indexReader.LabelValues("b_tens", matchers...)
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require.NoError(b, err)
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require.Equal(b, 9, len(actualValues))
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}
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}
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func TestLabelNamesWithMatchers(t *testing.T) {
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tmpdir := t.TempDir()
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var seriesEntries []storage.Series
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for i := 0; i < 100; i++ {
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seriesEntries = append(seriesEntries, storage.NewListSeries(labels.FromStrings(
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"unique", fmt.Sprintf("value%d", i),
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), []tsdbutil.Sample{sample{100, 0, nil, nil}}))
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|
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if i%10 == 0 {
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seriesEntries = append(seriesEntries, storage.NewListSeries(labels.FromStrings(
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"tens", fmt.Sprintf("value%d", i/10),
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"unique", fmt.Sprintf("value%d", i),
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), []tsdbutil.Sample{sample{100, 0, nil, nil}}))
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}
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if i%20 == 0 {
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seriesEntries = append(seriesEntries, storage.NewListSeries(labels.FromStrings(
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"tens", fmt.Sprintf("value%d", i/10),
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"twenties", fmt.Sprintf("value%d", i/20),
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"unique", fmt.Sprintf("value%d", i),
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), []tsdbutil.Sample{sample{100, 0, nil, nil}}))
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}
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}
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blockDir := createBlock(t, tmpdir, seriesEntries)
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files, err := sequenceFiles(chunkDir(blockDir))
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require.NoError(t, err)
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require.Greater(t, len(files), 0, "No chunk created.")
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// Check open err.
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block, err := OpenBlock(nil, blockDir, nil)
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require.NoError(t, err)
|
|
t.Cleanup(func() { require.NoError(t, block.Close()) })
|
|
|
|
indexReader, err := block.Index()
|
|
require.NoError(t, err)
|
|
t.Cleanup(func() { require.NoError(t, indexReader.Close()) })
|
|
|
|
testCases := []struct {
|
|
name string
|
|
labelName string
|
|
matchers []*labels.Matcher
|
|
expectedNames []string
|
|
}{
|
|
{
|
|
name: "get with non-empty unique: all",
|
|
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchNotEqual, "unique", "")},
|
|
expectedNames: []string{"tens", "twenties", "unique"},
|
|
}, {
|
|
name: "get with unique ending in 1: only unique",
|
|
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchRegexp, "unique", "value.*1")},
|
|
expectedNames: []string{"unique"},
|
|
}, {
|
|
name: "get with unique = value20: all",
|
|
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "unique", "value20")},
|
|
expectedNames: []string{"tens", "twenties", "unique"},
|
|
}, {
|
|
name: "get tens = 1: unique & tens",
|
|
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "tens", "value1")},
|
|
expectedNames: []string{"tens", "unique"},
|
|
},
|
|
}
|
|
|
|
for _, tt := range testCases {
|
|
t.Run(tt.name, func(t *testing.T) {
|
|
actualNames, err := indexReader.LabelNames(tt.matchers...)
|
|
require.NoError(t, err)
|
|
require.Equal(t, tt.expectedNames, actualNames)
|
|
})
|
|
}
|
|
}
|
|
|
|
// createBlock creates a block with given set of series and returns its dir.
|
|
func createBlock(tb testing.TB, dir string, series []storage.Series) string {
|
|
blockDir, err := CreateBlock(series, dir, 0, log.NewNopLogger())
|
|
require.NoError(tb, err)
|
|
return blockDir
|
|
}
|
|
|
|
func createBlockFromHead(tb testing.TB, dir string, head *Head) string {
|
|
compactor, err := NewLeveledCompactor(context.Background(), nil, log.NewNopLogger(), []int64{1000000}, nil, nil)
|
|
require.NoError(tb, err)
|
|
|
|
require.NoError(tb, os.MkdirAll(dir, 0o777))
|
|
|
|
// Add +1 millisecond to block maxt because block intervals are half-open: [b.MinTime, b.MaxTime).
|
|
// Because of this block intervals are always +1 than the total samples it includes.
|
|
ulid, err := compactor.Write(dir, head, head.MinTime(), head.MaxTime()+1, nil)
|
|
require.NoError(tb, err)
|
|
return filepath.Join(dir, ulid.String())
|
|
}
|
|
|
|
func createHead(tb testing.TB, w *wlog.WL, series []storage.Series, chunkDir string) *Head {
|
|
opts := DefaultHeadOptions()
|
|
opts.ChunkDirRoot = chunkDir
|
|
head, err := NewHead(nil, nil, w, nil, opts, nil)
|
|
require.NoError(tb, err)
|
|
|
|
var it chunkenc.Iterator
|
|
ctx := context.Background()
|
|
app := head.Appender(ctx)
|
|
for _, s := range series {
|
|
ref := storage.SeriesRef(0)
|
|
it = s.Iterator(it)
|
|
lset := s.Labels()
|
|
typ := it.Next()
|
|
lastTyp := typ
|
|
for ; typ != chunkenc.ValNone; typ = it.Next() {
|
|
if lastTyp != typ {
|
|
// The behaviour of appender is undefined if samples of different types
|
|
// are appended to the same series in a single Commit().
|
|
require.NoError(tb, app.Commit())
|
|
app = head.Appender(ctx)
|
|
}
|
|
|
|
switch typ {
|
|
case chunkenc.ValFloat:
|
|
t, v := it.At()
|
|
ref, err = app.Append(ref, lset, t, v)
|
|
case chunkenc.ValHistogram:
|
|
t, h := it.AtHistogram()
|
|
ref, err = app.AppendHistogram(ref, lset, t, h, nil)
|
|
case chunkenc.ValFloatHistogram:
|
|
t, fh := it.AtFloatHistogram()
|
|
ref, err = app.AppendHistogram(ref, lset, t, nil, fh)
|
|
default:
|
|
err = fmt.Errorf("unknown sample type %s", typ.String())
|
|
}
|
|
require.NoError(tb, err)
|
|
lastTyp = typ
|
|
}
|
|
require.NoError(tb, it.Err())
|
|
}
|
|
require.NoError(tb, app.Commit())
|
|
return head
|
|
}
|
|
|
|
func createHeadWithOOOSamples(tb testing.TB, w *wlog.WL, series []storage.Series, chunkDir string, oooSampleFrequency int) *Head {
|
|
opts := DefaultHeadOptions()
|
|
opts.ChunkDirRoot = chunkDir
|
|
opts.OutOfOrderTimeWindow.Store(10000000000)
|
|
head, err := NewHead(nil, nil, w, nil, opts, nil)
|
|
require.NoError(tb, err)
|
|
|
|
oooSampleLabels := make([]labels.Labels, 0, len(series))
|
|
oooSamples := make([]tsdbutil.SampleSlice, 0, len(series))
|
|
|
|
var it chunkenc.Iterator
|
|
totalSamples := 0
|
|
app := head.Appender(context.Background())
|
|
for _, s := range series {
|
|
ref := storage.SeriesRef(0)
|
|
it = s.Iterator(it)
|
|
lset := s.Labels()
|
|
os := tsdbutil.SampleSlice{}
|
|
count := 0
|
|
for it.Next() == chunkenc.ValFloat {
|
|
totalSamples++
|
|
count++
|
|
t, v := it.At()
|
|
if count%oooSampleFrequency == 0 {
|
|
os = append(os, sample{t: t, f: v})
|
|
continue
|
|
}
|
|
ref, err = app.Append(ref, lset, t, v)
|
|
require.NoError(tb, err)
|
|
}
|
|
require.NoError(tb, it.Err())
|
|
if len(os) > 0 {
|
|
oooSampleLabels = append(oooSampleLabels, lset)
|
|
oooSamples = append(oooSamples, os)
|
|
}
|
|
}
|
|
require.NoError(tb, app.Commit())
|
|
|
|
oooSamplesAppended := 0
|
|
require.Equal(tb, float64(0), prom_testutil.ToFloat64(head.metrics.outOfOrderSamplesAppended))
|
|
|
|
app = head.Appender(context.Background())
|
|
for i, lset := range oooSampleLabels {
|
|
ref := storage.SeriesRef(0)
|
|
for _, sample := range oooSamples[i] {
|
|
ref, err = app.Append(ref, lset, sample.T(), sample.F())
|
|
require.NoError(tb, err)
|
|
oooSamplesAppended++
|
|
}
|
|
}
|
|
require.NoError(tb, app.Commit())
|
|
|
|
actOOOAppended := prom_testutil.ToFloat64(head.metrics.outOfOrderSamplesAppended)
|
|
require.GreaterOrEqual(tb, actOOOAppended, float64(oooSamplesAppended-len(series)))
|
|
require.LessOrEqual(tb, actOOOAppended, float64(oooSamplesAppended))
|
|
|
|
require.Equal(tb, float64(totalSamples), prom_testutil.ToFloat64(head.metrics.samplesAppended))
|
|
|
|
return head
|
|
}
|
|
|
|
const (
|
|
defaultLabelName = "labelName"
|
|
defaultLabelValue = "labelValue"
|
|
)
|
|
|
|
// genSeries generates series of float64 samples with a given number of labels and values.
|
|
func genSeries(totalSeries, labelCount int, mint, maxt int64) []storage.Series {
|
|
return genSeriesFromSampleGenerator(totalSeries, labelCount, mint, maxt, 1, func(ts int64) tsdbutil.Sample {
|
|
return sample{t: ts, f: rand.Float64()}
|
|
})
|
|
}
|
|
|
|
// genHistogramSeries generates series of histogram samples with a given number of labels and values.
|
|
func genHistogramSeries(totalSeries, labelCount int, mint, maxt, step int64, floatHistogram bool) []storage.Series {
|
|
return genSeriesFromSampleGenerator(totalSeries, labelCount, mint, maxt, step, func(ts int64) tsdbutil.Sample {
|
|
h := &histogram.Histogram{
|
|
Count: 5 + uint64(ts*4),
|
|
ZeroCount: 2 + uint64(ts),
|
|
ZeroThreshold: 0.001,
|
|
Sum: 18.4 * rand.Float64(),
|
|
Schema: 1,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 0, Length: 2},
|
|
{Offset: 1, Length: 2},
|
|
},
|
|
PositiveBuckets: []int64{int64(ts + 1), 1, -1, 0},
|
|
}
|
|
if ts != mint {
|
|
// By setting the counter reset hint to "no counter
|
|
// reset" for all histograms but the first, we cover the
|
|
// most common cases. If the series is manipulated later
|
|
// or spans more than one block when ingested into the
|
|
// storage, the hint has to be adjusted. Note that the
|
|
// storage itself treats this particular hint the same
|
|
// as "unknown".
|
|
h.CounterResetHint = histogram.NotCounterReset
|
|
}
|
|
if floatHistogram {
|
|
return sample{t: ts, fh: h.ToFloat()}
|
|
}
|
|
return sample{t: ts, h: h}
|
|
})
|
|
}
|
|
|
|
// genHistogramAndFloatSeries generates series of mixed histogram and float64 samples with a given number of labels and values.
|
|
func genHistogramAndFloatSeries(totalSeries, labelCount int, mint, maxt, step int64, floatHistogram bool) []storage.Series {
|
|
floatSample := false
|
|
count := 0
|
|
return genSeriesFromSampleGenerator(totalSeries, labelCount, mint, maxt, step, func(ts int64) tsdbutil.Sample {
|
|
count++
|
|
var s sample
|
|
if floatSample {
|
|
s = sample{t: ts, f: rand.Float64()}
|
|
} else {
|
|
h := &histogram.Histogram{
|
|
Count: 5 + uint64(ts*4),
|
|
ZeroCount: 2 + uint64(ts),
|
|
ZeroThreshold: 0.001,
|
|
Sum: 18.4 * rand.Float64(),
|
|
Schema: 1,
|
|
PositiveSpans: []histogram.Span{
|
|
{Offset: 0, Length: 2},
|
|
{Offset: 1, Length: 2},
|
|
},
|
|
PositiveBuckets: []int64{int64(ts + 1), 1, -1, 0},
|
|
}
|
|
if count > 1 && count%5 != 1 {
|
|
// Same rationale for this as above in
|
|
// genHistogramSeries, just that we have to be
|
|
// smarter to find out if the previous sample
|
|
// was a histogram, too.
|
|
h.CounterResetHint = histogram.NotCounterReset
|
|
}
|
|
if floatHistogram {
|
|
s = sample{t: ts, fh: h.ToFloat()}
|
|
} else {
|
|
s = sample{t: ts, h: h}
|
|
}
|
|
}
|
|
|
|
if count%5 == 0 {
|
|
// Flip the sample type for every 5 samples.
|
|
floatSample = !floatSample
|
|
}
|
|
|
|
return s
|
|
})
|
|
}
|
|
|
|
func genSeriesFromSampleGenerator(totalSeries, labelCount int, mint, maxt, step int64, generator func(ts int64) tsdbutil.Sample) []storage.Series {
|
|
if totalSeries == 0 || labelCount == 0 {
|
|
return nil
|
|
}
|
|
|
|
series := make([]storage.Series, totalSeries)
|
|
|
|
for i := 0; i < totalSeries; i++ {
|
|
lbls := make(map[string]string, labelCount)
|
|
lbls[defaultLabelName] = strconv.Itoa(i)
|
|
for j := 1; len(lbls) < labelCount; j++ {
|
|
lbls[defaultLabelName+strconv.Itoa(j)] = defaultLabelValue + strconv.Itoa(j)
|
|
}
|
|
samples := make([]tsdbutil.Sample, 0, (maxt-mint)/step+1)
|
|
for t := mint; t < maxt; t += step {
|
|
samples = append(samples, generator(t))
|
|
}
|
|
series[i] = storage.NewListSeries(labels.FromMap(lbls), samples)
|
|
}
|
|
return series
|
|
}
|
|
|
|
// populateSeries generates series from given labels, mint and maxt.
|
|
func populateSeries(lbls []map[string]string, mint, maxt int64) []storage.Series {
|
|
if len(lbls) == 0 {
|
|
return nil
|
|
}
|
|
|
|
series := make([]storage.Series, 0, len(lbls))
|
|
for _, lbl := range lbls {
|
|
if len(lbl) == 0 {
|
|
continue
|
|
}
|
|
samples := make([]tsdbutil.Sample, 0, maxt-mint+1)
|
|
for t := mint; t <= maxt; t++ {
|
|
samples = append(samples, sample{t: t, f: rand.Float64()})
|
|
}
|
|
series = append(series, storage.NewListSeries(labels.FromMap(lbl), samples))
|
|
}
|
|
return series
|
|
}
|