// Copyright 2017 The Prometheus Authors // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. package tsdb import ( "context" crand "crypto/rand" "fmt" "math" "math/rand" "os" "path" "path/filepath" "sync" "testing" "time" "github.com/go-kit/log" "github.com/oklog/ulid" "github.com/pkg/errors" prom_testutil "github.com/prometheus/client_golang/prometheus/testutil" "github.com/stretchr/testify/require" "golang.org/x/sync/semaphore" "github.com/prometheus/prometheus/model/histogram" "github.com/prometheus/prometheus/model/labels" "github.com/prometheus/prometheus/storage" "github.com/prometheus/prometheus/tsdb/chunkenc" "github.com/prometheus/prometheus/tsdb/chunks" "github.com/prometheus/prometheus/tsdb/fileutil" "github.com/prometheus/prometheus/tsdb/index" "github.com/prometheus/prometheus/tsdb/tombstones" "github.com/prometheus/prometheus/tsdb/tsdbutil" ) func TestSplitByRange(t *testing.T) { cases := []struct { trange int64 ranges [][2]int64 output [][][2]int64 }{ { trange: 60, ranges: [][2]int64{{0, 10}}, output: [][][2]int64{ {{0, 10}}, }, }, { trange: 60, ranges: [][2]int64{{0, 60}}, output: [][][2]int64{ {{0, 60}}, }, }, { trange: 60, ranges: [][2]int64{{0, 10}, {9, 15}, {30, 60}}, output: [][][2]int64{ {{0, 10}, {9, 15}, {30, 60}}, }, }, { trange: 60, ranges: [][2]int64{{70, 90}, {125, 130}, {130, 180}, {1000, 1001}}, output: [][][2]int64{ {{70, 90}}, {{125, 130}, {130, 180}}, {{1000, 1001}}, }, }, // Mis-aligned or too-large blocks are ignored. { trange: 60, ranges: [][2]int64{{50, 70}, {70, 80}}, output: [][][2]int64{ {{70, 80}}, }, }, { trange: 72, ranges: [][2]int64{{0, 144}, {144, 216}, {216, 288}}, output: [][][2]int64{ {{144, 216}}, {{216, 288}}, }, }, // Various awkward edge cases easy to hit with negative numbers. { trange: 60, ranges: [][2]int64{{-10, -5}}, output: [][][2]int64{ {{-10, -5}}, }, }, { trange: 60, ranges: [][2]int64{{-60, -50}, {-10, -5}}, output: [][][2]int64{ {{-60, -50}, {-10, -5}}, }, }, { trange: 60, ranges: [][2]int64{{-60, -50}, {-10, -5}, {0, 15}}, output: [][][2]int64{ {{-60, -50}, {-10, -5}}, {{0, 15}}, }, }, } for _, c := range cases { // Transform input range tuples into dirMetas. blocks := make([]dirMeta, 0, len(c.ranges)) for _, r := range c.ranges { blocks = append(blocks, dirMeta{ meta: &BlockMeta{ MinTime: r[0], MaxTime: r[1], }, }) } // Transform output range tuples into dirMetas. exp := make([][]dirMeta, len(c.output)) for i, group := range c.output { for _, r := range group { exp[i] = append(exp[i], dirMeta{ meta: &BlockMeta{MinTime: r[0], MaxTime: r[1]}, }) } } require.Equal(t, exp, splitByRange(blocks, c.trange)) } } // See https://github.com/prometheus/prometheus/issues/3064 func TestNoPanicFor0Tombstones(t *testing.T) { metas := []dirMeta{ { dir: "1", meta: &BlockMeta{ MinTime: 0, MaxTime: 100, }, }, { dir: "2", meta: &BlockMeta{ MinTime: 101, MaxTime: 200, }, }, } c, err := NewLeveledCompactor(context.Background(), nil, nil, []int64{50}, nil, nil, true) require.NoError(t, err) c.plan(metas) } func TestLeveledCompactor_plan(t *testing.T) { // This mimics our default ExponentialBlockRanges with min block size equals to 20. compactor, err := NewLeveledCompactor(context.Background(), nil, nil, []int64{ 20, 60, 180, 540, 1620, }, nil, nil, true) require.NoError(t, err) cases := map[string]struct { metas []dirMeta expected []string }{ "Outside Range": { metas: []dirMeta{ metaRange("1", 0, 20, nil), }, expected: nil, }, "We should wait for four blocks of size 20 to appear before compacting.": { metas: []dirMeta{ metaRange("1", 0, 20, nil), metaRange("2", 20, 40, nil), }, expected: nil, }, `We should wait for a next block of size 20 to appear before compacting the existing ones. We have three, but we ignore the fresh one from WAl`: { metas: []dirMeta{ metaRange("1", 0, 20, nil), metaRange("2", 20, 40, nil), metaRange("3", 40, 60, nil), }, expected: nil, }, "Block to fill the entire parent range appeared – should be compacted": { metas: []dirMeta{ metaRange("1", 0, 20, nil), metaRange("2", 20, 40, nil), metaRange("3", 40, 60, nil), metaRange("4", 60, 80, nil), }, expected: []string{"1", "2", "3"}, }, `Block for the next parent range appeared with gap with size 20. Nothing will happen in the first one anymore but we ignore fresh one still, so no compaction`: { metas: []dirMeta{ metaRange("1", 0, 20, nil), metaRange("2", 20, 40, nil), metaRange("3", 60, 80, nil), }, expected: nil, }, `Block for the next parent range appeared, and we have a gap with size 20 between second and third block. We will not get this missed gap anymore and we should compact just these two.`: { metas: []dirMeta{ metaRange("1", 0, 20, nil), metaRange("2", 20, 40, nil), metaRange("3", 60, 80, nil), metaRange("4", 80, 100, nil), }, expected: []string{"1", "2"}, }, "We have 20, 20, 20, 60, 60 range blocks. '5' is marked as fresh one": { metas: []dirMeta{ metaRange("1", 0, 20, nil), metaRange("2", 20, 40, nil), metaRange("3", 40, 60, nil), metaRange("4", 60, 120, nil), metaRange("5", 120, 180, nil), }, expected: []string{"1", "2", "3"}, }, "We have 20, 60, 20, 60, 240 range blocks. We can compact 20 + 60 + 60": { metas: []dirMeta{ metaRange("2", 20, 40, nil), metaRange("4", 60, 120, nil), metaRange("5", 960, 980, nil), // Fresh one. metaRange("6", 120, 180, nil), metaRange("7", 720, 960, nil), }, expected: []string{"2", "4", "6"}, }, "Do not select large blocks that have many tombstones when there is no fresh block": { metas: []dirMeta{ metaRange("1", 0, 540, &BlockStats{ NumSeries: 10, NumTombstones: 3, }), }, expected: nil, }, "Select large blocks that have many tombstones when fresh appears": { metas: []dirMeta{ metaRange("1", 0, 540, &BlockStats{ NumSeries: 10, NumTombstones: 3, }), metaRange("2", 540, 560, nil), }, expected: []string{"1"}, }, "For small blocks, do not compact tombstones, even when fresh appears.": { metas: []dirMeta{ metaRange("1", 0, 60, &BlockStats{ NumSeries: 10, NumTombstones: 3, }), metaRange("2", 60, 80, nil), }, expected: nil, }, `Regression test: we were stuck in a compact loop where we always recompacted the same block when tombstones and series counts were zero`: { metas: []dirMeta{ metaRange("1", 0, 540, &BlockStats{ NumSeries: 0, NumTombstones: 0, }), metaRange("2", 540, 560, nil), }, expected: nil, }, `Regression test: we were wrongly assuming that new block is fresh from WAL when its ULID is newest. We need to actually look on max time instead. With previous, wrong approach "8" block was ignored, so we were wrongly compacting 5 and 7 and introducing block overlaps`: { metas: []dirMeta{ metaRange("5", 0, 360, nil), metaRange("6", 540, 560, nil), // Fresh one. metaRange("7", 360, 420, nil), metaRange("8", 420, 540, nil), }, expected: []string{"7", "8"}, }, // |--------------| // |----------------| // |--------------| "Overlapping blocks 1": { metas: []dirMeta{ metaRange("1", 0, 20, nil), metaRange("2", 19, 40, nil), metaRange("3", 40, 60, nil), }, expected: []string{"1", "2"}, }, // |--------------| // |--------------| // |--------------| "Overlapping blocks 2": { metas: []dirMeta{ metaRange("1", 0, 20, nil), metaRange("2", 20, 40, nil), metaRange("3", 30, 50, nil), }, expected: []string{"2", "3"}, }, // |--------------| // |---------------------| // |--------------| "Overlapping blocks 3": { metas: []dirMeta{ metaRange("1", 0, 20, nil), metaRange("2", 10, 40, nil), metaRange("3", 30, 50, nil), }, expected: []string{"1", "2", "3"}, }, // |--------------| // |--------------------------------| // |--------------| // |--------------| "Overlapping blocks 4": { metas: []dirMeta{ metaRange("5", 0, 360, nil), metaRange("6", 340, 560, nil), metaRange("7", 360, 420, nil), metaRange("8", 420, 540, nil), }, expected: []string{"5", "6", "7", "8"}, }, // |--------------| // |--------------| // |--------------| // |--------------| "Overlapping blocks 5": { metas: []dirMeta{ metaRange("1", 0, 10, nil), metaRange("2", 9, 20, nil), metaRange("3", 30, 40, nil), metaRange("4", 39, 50, nil), }, expected: []string{"1", "2"}, }, } for title, c := range cases { if !t.Run(title, func(t *testing.T) { res, err := compactor.plan(c.metas) require.NoError(t, err) require.Equal(t, c.expected, res) }) { return } } } func TestRangeWithFailedCompactionWontGetSelected(t *testing.T) { compactor, err := NewLeveledCompactor(context.Background(), nil, nil, []int64{ 20, 60, 240, 720, 2160, }, nil, nil, true) require.NoError(t, err) cases := []struct { metas []dirMeta }{ { metas: []dirMeta{ metaRange("1", 0, 20, nil), metaRange("2", 20, 40, nil), metaRange("3", 40, 60, nil), metaRange("4", 60, 80, nil), }, }, { metas: []dirMeta{ metaRange("1", 0, 20, nil), metaRange("2", 20, 40, nil), metaRange("3", 60, 80, nil), metaRange("4", 80, 100, nil), }, }, { metas: []dirMeta{ metaRange("1", 0, 20, nil), metaRange("2", 20, 40, nil), metaRange("3", 40, 60, nil), metaRange("4", 60, 120, nil), metaRange("5", 120, 180, nil), metaRange("6", 180, 200, nil), }, }, } for _, c := range cases { c.metas[1].meta.Compaction.Failed = true res, err := compactor.plan(c.metas) require.NoError(t, err) require.Equal(t, []string(nil), res) } } func TestCompactionFailWillCleanUpTempDir(t *testing.T) { compactor, err := NewLeveledCompactorWithChunkSize(context.Background(), nil, log.NewNopLogger(), []int64{ 20, 60, 240, 720, 2160, }, nil, chunks.DefaultChunkSegmentSize, nil, true) require.NoError(t, err) tmpdir := t.TempDir() shardedBlocks := []shardedBlock{ {meta: &BlockMeta{ULID: ulid.MustNew(ulid.Now(), crand.Reader)}}, {meta: &BlockMeta{ULID: ulid.MustNew(ulid.Now(), crand.Reader)}}, {meta: &BlockMeta{ULID: ulid.MustNew(ulid.Now(), crand.Reader)}}, } require.Error(t, compactor.write(tmpdir, shardedBlocks, erringBReader{})) // We rely on the fact that blockDir and tmpDir will be updated by compactor.write. for _, b := range shardedBlocks { require.NotEmpty(t, b.tmpDir) _, err = os.Stat(b.tmpDir) require.True(t, os.IsNotExist(err), "tmp directory is not cleaned up") require.NotEmpty(t, b.blockDir) _, err = os.Stat(b.blockDir) require.True(t, os.IsNotExist(err), "block directory is not cleaned up") } } func metaRange(name string, mint, maxt int64, stats *BlockStats) dirMeta { meta := &BlockMeta{MinTime: mint, MaxTime: maxt} if stats != nil { meta.Stats = *stats } return dirMeta{ dir: name, meta: meta, } } type erringBReader struct{} func (erringBReader) Index() (IndexReader, error) { return nil, errors.New("index") } func (erringBReader) Chunks() (ChunkReader, error) { return nil, errors.New("chunks") } func (erringBReader) Tombstones() (tombstones.Reader, error) { return nil, errors.New("tombstones") } func (erringBReader) Meta() BlockMeta { return BlockMeta{} } func (erringBReader) Size() int64 { return 0 } type nopChunkWriter struct{} func (nopChunkWriter) WriteChunks(chunks ...chunks.Meta) error { return nil } func (nopChunkWriter) Close() error { return nil } func samplesForRange(minTime, maxTime int64, maxSamplesPerChunk int) (ret [][]sample) { var curr []sample for i := minTime; i <= maxTime; i++ { curr = append(curr, sample{t: i}) if len(curr) >= maxSamplesPerChunk { ret = append(ret, curr) curr = []sample{} } } if len(curr) > 0 { ret = append(ret, curr) } return ret } func TestCompaction_CompactWithSplitting(t *testing.T) { seriesCounts := []int{10, 1234} shardCounts := []uint64{1, 13} for _, series := range seriesCounts { dir, err := os.MkdirTemp("", "compact") require.NoError(t, err) defer func() { require.NoError(t, os.RemoveAll(dir)) }() ranges := [][2]int64{{0, 5000}, {3000, 8000}, {6000, 11000}, {9000, 14000}} // Generate blocks. var blockDirs []string var openBlocks []*Block for _, r := range ranges { block, err := OpenBlock(nil, createBlock(t, dir, genSeries(series, 10, r[0], r[1])), nil) require.NoError(t, err) defer func() { require.NoError(t, block.Close()) }() openBlocks = append(openBlocks, block) blockDirs = append(blockDirs, block.Dir()) } for _, shardCount := range shardCounts { t.Run(fmt.Sprintf("series=%d, shards=%d", series, shardCount), func(t *testing.T) { c, err := NewLeveledCompactorWithChunkSize(context.Background(), nil, log.NewNopLogger(), []int64{0}, nil, chunks.DefaultChunkSegmentSize, nil, true) require.NoError(t, err) blockIDs, err := c.CompactWithSplitting(dir, blockDirs, openBlocks, shardCount) require.NoError(t, err) require.Equal(t, shardCount, uint64(len(blockIDs))) // Verify resulting blocks. We will iterate over all series in all blocks, and check two things: // 1) Make sure that each series in the block belongs to the block (based on sharding). // 2) Verify that total number of series over all blocks is correct. totalSeries := uint64(0) ts := uint64(0) for shardIndex, blockID := range blockIDs { // Some blocks may be empty, they will have zero block ID. if blockID == (ulid.ULID{}) { continue } // All blocks have the same timestamp. if ts == 0 { ts = blockID.Time() } else { require.Equal(t, ts, blockID.Time()) } // Symbols found in series. seriesSymbols := map[string]struct{}{} // We always expect to find "" symbol in the symbols table even if it's not in the series. // Head compaction always includes it, and then it survives additional non-sharded compactions. // Our splitting compaction preserves it too. seriesSymbols[""] = struct{}{} block, err := OpenBlock(log.NewNopLogger(), filepath.Join(dir, blockID.String()), nil) require.NoError(t, err) defer func() { require.NoError(t, block.Close()) }() totalSeries += block.Meta().Stats.NumSeries idxr, err := block.Index() require.NoError(t, err) defer func() { require.NoError(t, idxr.Close()) }() k, v := index.AllPostingsKey() p, err := idxr.Postings(k, v) require.NoError(t, err) var lbls labels.ScratchBuilder for p.Next() { ref := p.At() require.NoError(t, idxr.Series(ref, &lbls, nil)) require.Equal(t, uint64(shardIndex), lbls.Labels().Hash()%shardCount) // Collect all symbols used by series. for _, l := range lbls.Labels() { seriesSymbols[l.Name] = struct{}{} seriesSymbols[l.Value] = struct{}{} } } require.NoError(t, p.Err()) // Check that all symbols in symbols table are actually used by series. symIt := idxr.Symbols() for symIt.Next() { w := symIt.At() _, ok := seriesSymbols[w] require.True(t, ok, "not found in series: '%s'", w) delete(seriesSymbols, w) } // Check that symbols table covered all symbols found from series. require.Equal(t, 0, len(seriesSymbols)) } require.Equal(t, uint64(series), totalSeries) // Source blocks are *not* deletable. for _, b := range openBlocks { require.False(t, b.meta.Compaction.Deletable) } }) } } } func TestCompaction_CompactEmptyBlocks(t *testing.T) { dir, err := os.MkdirTemp("", "compact") require.NoError(t, err) defer func() { require.NoError(t, os.RemoveAll(dir)) }() ranges := [][2]int64{{0, 5000}, {3000, 8000}, {6000, 11000}, {9000, 14000}} // Generate blocks. var blockDirs []string for _, r := range ranges { // Generate blocks using index and chunk writer. CreateBlock would not return valid block for 0 series. id := ulid.MustNew(ulid.Now(), crand.Reader) m := &BlockMeta{ ULID: id, MinTime: r[0], MaxTime: r[1], Compaction: BlockMetaCompaction{Level: 1, Sources: []ulid.ULID{id}}, Version: metaVersion1, } bdir := filepath.Join(dir, id.String()) require.NoError(t, os.Mkdir(bdir, 0o777)) require.NoError(t, os.Mkdir(chunkDir(bdir), 0o777)) _, err := writeMetaFile(log.NewNopLogger(), bdir, m) require.NoError(t, err) iw, err := index.NewWriter(context.Background(), filepath.Join(bdir, indexFilename)) require.NoError(t, err) require.NoError(t, iw.AddSymbol("hello")) require.NoError(t, iw.AddSymbol("world")) require.NoError(t, iw.Close()) blockDirs = append(blockDirs, bdir) } c, err := NewLeveledCompactorWithChunkSize(context.Background(), nil, log.NewNopLogger(), []int64{0}, nil, chunks.DefaultChunkSegmentSize, nil, true) require.NoError(t, err) blockIDs, err := c.CompactWithSplitting(dir, blockDirs, nil, 5) require.NoError(t, err) // There are no output blocks. for _, b := range blockIDs { require.Equal(t, ulid.ULID{}, b) } // All source blocks are now marked for deletion. for _, b := range blockDirs { meta, _, err := readMetaFile(b) require.NoError(t, err) require.True(t, meta.Compaction.Deletable) } } func TestCompaction_populateBlock(t *testing.T) { for _, tc := range []struct { title string inputSeriesSamples [][]seriesSamples compactMinTime int64 compactMaxTime int64 // When not defined the test runner sets a default of math.MaxInt64. expSeriesSamples []seriesSamples expErr error }{ { title: "Populate block from empty input should return error.", inputSeriesSamples: [][]seriesSamples{}, expErr: errors.New("cannot populate block(s) from no readers"), }, { // Populate from single block without chunks. We expect these kind of series being ignored. inputSeriesSamples: [][]seriesSamples{ {{lset: map[string]string{"a": "b"}}}, }, }, { title: "Populate from single block. We expect the same samples at the output.", inputSeriesSamples: [][]seriesSamples{ { { lset: map[string]string{"a": "b"}, chunks: [][]sample{{{t: 0}, {t: 10}}, {{t: 11}, {t: 20}}}, }, }, }, expSeriesSamples: []seriesSamples{ { lset: map[string]string{"a": "b"}, chunks: [][]sample{{{t: 0}, {t: 10}}, {{t: 11}, {t: 20}}}, }, }, }, { title: "Populate from two blocks.", inputSeriesSamples: [][]seriesSamples{ { { lset: map[string]string{"a": "b"}, chunks: [][]sample{{{t: 0}, {t: 10}}, {{t: 11}, {t: 20}}}, }, { lset: map[string]string{"a": "c"}, chunks: [][]sample{{{t: 1}, {t: 9}}, {{t: 10}, {t: 19}}}, }, { // no-chunk series should be dropped. lset: map[string]string{"a": "empty"}, }, }, { { lset: map[string]string{"a": "b"}, chunks: [][]sample{{{t: 21}, {t: 30}}}, }, { lset: map[string]string{"a": "c"}, chunks: [][]sample{{{t: 40}, {t: 45}}}, }, }, }, expSeriesSamples: []seriesSamples{ { lset: map[string]string{"a": "b"}, chunks: [][]sample{{{t: 0}, {t: 10}}, {{t: 11}, {t: 20}}, {{t: 21}, {t: 30}}}, }, { lset: map[string]string{"a": "c"}, chunks: [][]sample{{{t: 1}, {t: 9}}, {{t: 10}, {t: 19}}, {{t: 40}, {t: 45}}}, }, }, }, { title: "Populate from two blocks; chunks with negative time.", inputSeriesSamples: [][]seriesSamples{ { { lset: map[string]string{"a": "b"}, chunks: [][]sample{{{t: 0}, {t: 10}}, {{t: 11}, {t: 20}}}, }, { lset: map[string]string{"a": "c"}, chunks: [][]sample{{{t: -11}, {t: -9}}, {{t: 10}, {t: 19}}}, }, { // no-chunk series should be dropped. lset: map[string]string{"a": "empty"}, }, }, { { lset: map[string]string{"a": "b"}, chunks: [][]sample{{{t: 21}, {t: 30}}}, }, { lset: map[string]string{"a": "c"}, chunks: [][]sample{{{t: 40}, {t: 45}}}, }, }, }, compactMinTime: -11, expSeriesSamples: []seriesSamples{ { lset: map[string]string{"a": "b"}, chunks: [][]sample{{{t: 0}, {t: 10}}, {{t: 11}, {t: 20}}, {{t: 21}, {t: 30}}}, }, { lset: map[string]string{"a": "c"}, chunks: [][]sample{{{t: -11}, {t: -9}}, {{t: 10}, {t: 19}}, {{t: 40}, {t: 45}}}, }, }, }, { title: "Populate from two blocks showing that order is maintained.", inputSeriesSamples: [][]seriesSamples{ { { lset: map[string]string{"a": "b"}, chunks: [][]sample{{{t: 0}, {t: 10}}, {{t: 11}, {t: 20}}}, }, { lset: map[string]string{"a": "c"}, chunks: [][]sample{{{t: 1}, {t: 9}}, {{t: 10}, {t: 19}}}, }, }, { { lset: map[string]string{"a": "b"}, chunks: [][]sample{{{t: 21}, {t: 30}}}, }, { lset: map[string]string{"a": "c"}, chunks: [][]sample{{{t: 40}, {t: 45}}}, }, }, }, expSeriesSamples: []seriesSamples{ { lset: map[string]string{"a": "b"}, chunks: [][]sample{{{t: 0}, {t: 10}}, {{t: 11}, {t: 20}}, {{t: 21}, {t: 30}}}, }, { lset: map[string]string{"a": "c"}, chunks: [][]sample{{{t: 1}, {t: 9}}, {{t: 10}, {t: 19}}, {{t: 40}, {t: 45}}}, }, }, }, { title: "Populate from two blocks showing that order of series is sorted.", inputSeriesSamples: [][]seriesSamples{ { { lset: map[string]string{"a": "4"}, chunks: [][]sample{{{t: 5}, {t: 7}}}, }, { lset: map[string]string{"a": "3"}, chunks: [][]sample{{{t: 5}, {t: 6}}}, }, { lset: map[string]string{"a": "same"}, chunks: [][]sample{{{t: 1}, {t: 4}}}, }, }, { { lset: map[string]string{"a": "2"}, chunks: [][]sample{{{t: 1}, {t: 3}}}, }, { lset: map[string]string{"a": "1"}, chunks: [][]sample{{{t: 1}, {t: 2}}}, }, { lset: map[string]string{"a": "same"}, chunks: [][]sample{{{t: 5}, {t: 8}}}, }, }, }, expSeriesSamples: []seriesSamples{ { lset: map[string]string{"a": "1"}, chunks: [][]sample{{{t: 1}, {t: 2}}}, }, { lset: map[string]string{"a": "2"}, chunks: [][]sample{{{t: 1}, {t: 3}}}, }, { lset: map[string]string{"a": "3"}, chunks: [][]sample{{{t: 5}, {t: 6}}}, }, { lset: map[string]string{"a": "4"}, chunks: [][]sample{{{t: 5}, {t: 7}}}, }, { lset: map[string]string{"a": "same"}, chunks: [][]sample{{{t: 1}, {t: 4}}, {{t: 5}, {t: 8}}}, }, }, }, { title: "Populate from two blocks 1:1 duplicated chunks; with negative timestamps.", inputSeriesSamples: [][]seriesSamples{ { { lset: map[string]string{"a": "1"}, chunks: [][]sample{{{t: 1}, {t: 2}}, {{t: 3}, {t: 4}}}, }, { lset: map[string]string{"a": "2"}, chunks: [][]sample{{{t: -3}, {t: -2}}, {{t: 1}, {t: 3}, {t: 4}}, {{t: 5}, {t: 6}}}, }, }, { { lset: map[string]string{"a": "1"}, chunks: [][]sample{{{t: 3}, {t: 4}}}, }, { lset: map[string]string{"a": "2"}, chunks: [][]sample{{{t: 1}, {t: 3}, {t: 4}}, {{t: 7}, {t: 8}}}, }, }, }, compactMinTime: -3, expSeriesSamples: []seriesSamples{ { lset: map[string]string{"a": "1"}, chunks: [][]sample{{{t: 1}, {t: 2}}, {{t: 3}, {t: 4}}}, }, { lset: map[string]string{"a": "2"}, chunks: [][]sample{{{t: -3}, {t: -2}}, {{t: 1}, {t: 3}, {t: 4}}, {{t: 5}, {t: 6}}, {{t: 7}, {t: 8}}}, }, }, }, { // This should not happened because head block is making sure the chunks are not crossing block boundaries. // We used to return error, but now chunk is trimmed. title: "Populate from single block containing chunk outside of compact meta time range.", inputSeriesSamples: [][]seriesSamples{ { { lset: map[string]string{"a": "b"}, chunks: [][]sample{{{t: 1}, {t: 2}}, {{t: 10}, {t: 30}}}, }, }, }, compactMinTime: 0, compactMaxTime: 20, expSeriesSamples: []seriesSamples{ { lset: map[string]string{"a": "b"}, chunks: [][]sample{{{t: 1}, {t: 2}}, {{t: 10}}}, }, }, }, { // Introduced by https://github.com/prometheus/tsdb/issues/347. We used to return error, but now chunk is trimmed. title: "Populate from single block containing extra chunk", inputSeriesSamples: [][]seriesSamples{ { { lset: map[string]string{"a": "issue347"}, chunks: [][]sample{{{t: 1}, {t: 2}}, {{t: 10}, {t: 20}}}, }, }, }, compactMinTime: 0, compactMaxTime: 10, expSeriesSamples: []seriesSamples{ { lset: map[string]string{"a": "issue347"}, chunks: [][]sample{{{t: 1}, {t: 2}}}, }, }, }, { // Deduplication expected. // Introduced by pull/370 and pull/539. title: "Populate from two blocks containing duplicated chunk.", inputSeriesSamples: [][]seriesSamples{ { { lset: map[string]string{"a": "b"}, chunks: [][]sample{{{t: 1}, {t: 2}}, {{t: 10}, {t: 20}}}, }, }, { { lset: map[string]string{"a": "b"}, chunks: [][]sample{{{t: 10}, {t: 20}}}, }, }, }, expSeriesSamples: []seriesSamples{ { lset: map[string]string{"a": "b"}, chunks: [][]sample{{{t: 1}, {t: 2}}, {{t: 10}, {t: 20}}}, }, }, }, { // Introduced by https://github.com/prometheus/tsdb/pull/539. title: "Populate from three overlapping blocks.", inputSeriesSamples: [][]seriesSamples{ { { lset: map[string]string{"a": "overlap-all"}, chunks: [][]sample{{{t: 19}, {t: 30}}}, }, { lset: map[string]string{"a": "overlap-beginning"}, chunks: [][]sample{{{t: 0}, {t: 5}}}, }, { lset: map[string]string{"a": "overlap-ending"}, chunks: [][]sample{{{t: 21}, {t: 30}}}, }, }, { { lset: map[string]string{"a": "overlap-all"}, chunks: [][]sample{{{t: 0}, {t: 10}, {t: 11}, {t: 20}}}, }, { lset: map[string]string{"a": "overlap-beginning"}, chunks: [][]sample{{{t: 0}, {t: 10}, {t: 12}, {t: 20}}}, }, { lset: map[string]string{"a": "overlap-ending"}, chunks: [][]sample{{{t: 0}, {t: 10}, {t: 13}, {t: 20}}}, }, }, { { lset: map[string]string{"a": "overlap-all"}, chunks: [][]sample{{{t: 27}, {t: 35}}}, }, { lset: map[string]string{"a": "overlap-ending"}, chunks: [][]sample{{{t: 27}, {t: 35}}}, }, }, }, expSeriesSamples: []seriesSamples{ { lset: map[string]string{"a": "overlap-all"}, chunks: [][]sample{{{t: 0}, {t: 10}, {t: 11}, {t: 19}, {t: 20}, {t: 27}, {t: 30}, {t: 35}}}, }, { lset: map[string]string{"a": "overlap-beginning"}, chunks: [][]sample{{{t: 0}, {t: 5}, {t: 10}, {t: 12}, {t: 20}}}, }, { lset: map[string]string{"a": "overlap-ending"}, chunks: [][]sample{{{t: 0}, {t: 10}, {t: 13}, {t: 20}}, {{t: 21}, {t: 27}, {t: 30}, {t: 35}}}, }, }, }, { title: "Populate from three partially overlapping blocks with few full chunks.", inputSeriesSamples: [][]seriesSamples{ { { lset: map[string]string{"a": "1", "b": "1"}, chunks: samplesForRange(0, 659, 120), // 5 chunks and half. }, { lset: map[string]string{"a": "1", "b": "2"}, chunks: samplesForRange(0, 659, 120), }, }, { { lset: map[string]string{"a": "1", "b": "2"}, chunks: samplesForRange(480, 1199, 120), // two chunks overlapping with previous, two non overlapping and two overlapping with next block. }, { lset: map[string]string{"a": "1", "b": "3"}, chunks: samplesForRange(480, 1199, 120), }, }, { { lset: map[string]string{"a": "1", "b": "2"}, chunks: samplesForRange(960, 1499, 120), // 5 chunks and half. }, { lset: map[string]string{"a": "1", "b": "4"}, chunks: samplesForRange(960, 1499, 120), }, }, }, expSeriesSamples: []seriesSamples{ { lset: map[string]string{"a": "1", "b": "1"}, chunks: samplesForRange(0, 659, 120), }, { lset: map[string]string{"a": "1", "b": "2"}, chunks: samplesForRange(0, 1499, 120), }, { lset: map[string]string{"a": "1", "b": "3"}, chunks: samplesForRange(480, 1199, 120), }, { lset: map[string]string{"a": "1", "b": "4"}, chunks: samplesForRange(960, 1499, 120), }, }, }, { title: "Populate from three partially overlapping blocks with chunks that are expected to merge into single big chunks.", inputSeriesSamples: [][]seriesSamples{ { { lset: map[string]string{"a": "1", "b": "2"}, chunks: [][]sample{{{t: 0}, {t: 6902464}}, {{t: 6961968}, {t: 7080976}}}, }, }, { { lset: map[string]string{"a": "1", "b": "2"}, chunks: [][]sample{{{t: 3600000}, {t: 13953696}}, {{t: 14042952}, {t: 14221464}}}, }, }, { { lset: map[string]string{"a": "1", "b": "2"}, chunks: [][]sample{{{t: 10800000}, {t: 14251232}}, {{t: 14280984}, {t: 14340488}}}, }, }, }, expSeriesSamples: []seriesSamples{ { lset: map[string]string{"a": "1", "b": "2"}, chunks: [][]sample{{{t: 0}, {t: 3600000}, {t: 6902464}, {t: 6961968}, {t: 7080976}, {t: 10800000}, {t: 13953696}, {t: 14042952}, {t: 14221464}, {t: 14251232}}, {{t: 14280984}, {t: 14340488}}}, }, }, }, } { t.Run(tc.title, func(t *testing.T) { blocks := make([]BlockReader, 0, len(tc.inputSeriesSamples)) for _, b := range tc.inputSeriesSamples { ir, cr, mint, maxt := createIdxChkReaders(t, b) blocks = append(blocks, &mockBReader{ir: ir, cr: cr, mint: mint, maxt: maxt}) } c, err := NewLeveledCompactorWithChunkSize(context.Background(), nil, nil, []int64{0}, nil, chunks.DefaultChunkSegmentSize, nil, true) require.NoError(t, err) meta := &BlockMeta{ MinTime: tc.compactMinTime, MaxTime: tc.compactMaxTime, } if meta.MaxTime == 0 { meta.MaxTime = math.MaxInt64 } iw := &mockIndexWriter{} ob := shardedBlock{meta: meta, indexw: iw, chunkw: nopChunkWriter{}} err = c.populateBlock(blocks, meta.MinTime, meta.MaxTime, []shardedBlock{ob}) if tc.expErr != nil { require.Error(t, err) require.Equal(t, tc.expErr.Error(), err.Error()) return } require.NoError(t, err) // Check if response is expected and chunk is valid. var raw []seriesSamples for _, s := range iw.seriesChunks { ss := seriesSamples{lset: s.l.Map()} var iter chunkenc.Iterator for _, chk := range s.chunks { var ( samples = make([]sample, 0, chk.Chunk.NumSamples()) iter = chk.Chunk.Iterator(iter) firstTs int64 = math.MaxInt64 s sample ) for iter.Next() == chunkenc.ValFloat { s.t, s.v = iter.At() if firstTs == math.MaxInt64 { firstTs = s.t } samples = append(samples, s) } // Check if chunk has correct min, max times. require.Equal(t, firstTs, chk.MinTime, "chunk Meta %v does not match the first encoded sample timestamp: %v", chk, firstTs) require.Equal(t, s.t, chk.MaxTime, "chunk Meta %v does not match the last encoded sample timestamp %v", chk, s.t) require.NoError(t, iter.Err()) ss.chunks = append(ss.chunks, samples) } raw = append(raw, ss) } require.Equal(t, tc.expSeriesSamples, raw) // Check if stats are calculated properly. s := BlockStats{NumSeries: uint64(len(tc.expSeriesSamples))} for _, series := range tc.expSeriesSamples { s.NumChunks += uint64(len(series.chunks)) for _, chk := range series.chunks { s.NumSamples += uint64(len(chk)) } } require.Equal(t, s, meta.Stats) }) } } func BenchmarkCompaction(b *testing.B) { cases := []struct { ranges [][2]int64 compactionType string }{ { ranges: [][2]int64{{0, 100}, {200, 300}, {400, 500}, {600, 700}}, compactionType: "normal", }, { ranges: [][2]int64{{0, 1000}, {2000, 3000}, {4000, 5000}, {6000, 7000}}, compactionType: "normal", }, { ranges: [][2]int64{{0, 2000}, {3000, 5000}, {6000, 8000}, {9000, 11000}}, compactionType: "normal", }, { ranges: [][2]int64{{0, 5000}, {6000, 11000}, {12000, 17000}, {18000, 23000}}, compactionType: "normal", }, // 40% overlaps. { ranges: [][2]int64{{0, 100}, {60, 160}, {120, 220}, {180, 280}}, compactionType: "vertical", }, { ranges: [][2]int64{{0, 1000}, {600, 1600}, {1200, 2200}, {1800, 2800}}, compactionType: "vertical", }, { ranges: [][2]int64{{0, 2000}, {1200, 3200}, {2400, 4400}, {3600, 5600}}, compactionType: "vertical", }, { ranges: [][2]int64{{0, 5000}, {3000, 8000}, {6000, 11000}, {9000, 14000}}, compactionType: "vertical", }, } nSeries := 10000 for _, c := range cases { nBlocks := len(c.ranges) b.Run(fmt.Sprintf("type=%s,blocks=%d,series=%d,samplesPerSeriesPerBlock=%d", c.compactionType, nBlocks, nSeries, c.ranges[0][1]-c.ranges[0][0]+1), func(b *testing.B) { dir := b.TempDir() blockDirs := make([]string, 0, len(c.ranges)) var blocks []*Block for _, r := range c.ranges { block, err := OpenBlock(nil, createBlock(b, dir, genSeries(nSeries, 10, r[0], r[1])), nil) require.NoError(b, err) blocks = append(blocks, block) defer func() { require.NoError(b, block.Close()) }() blockDirs = append(blockDirs, block.Dir()) } c, err := NewLeveledCompactor(context.Background(), nil, log.NewNopLogger(), []int64{0}, nil, nil, true) require.NoError(b, err) b.ResetTimer() b.ReportAllocs() for i := 0; i < b.N; i++ { _, err = c.Compact(dir, blockDirs, blocks) require.NoError(b, err) } }) } } func BenchmarkCompactionFromHead(b *testing.B) { dir := b.TempDir() totalSeries := 100000 for labelNames := 1; labelNames < totalSeries; labelNames *= 10 { labelValues := totalSeries / labelNames b.Run(fmt.Sprintf("labelnames=%d,labelvalues=%d", labelNames, labelValues), func(b *testing.B) { chunkDir := b.TempDir() opts := DefaultHeadOptions() opts.ChunkRange = 1000 opts.ChunkDirRoot = chunkDir h, err := NewHead(nil, nil, nil, nil, opts, nil) require.NoError(b, err) for ln := 0; ln < labelNames; ln++ { app := h.Appender(context.Background()) for lv := 0; lv < labelValues; lv++ { app.Append(0, labels.FromStrings(fmt.Sprintf("%d", ln), fmt.Sprintf("%d%s%d", lv, postingsBenchSuffix, ln)), 0, 0) } require.NoError(b, app.Commit()) } b.ResetTimer() b.ReportAllocs() for i := 0; i < b.N; i++ { createBlockFromHead(b, filepath.Join(dir, fmt.Sprintf("%d-%d", i, labelNames)), h) } h.Close() }) } } // TestDisableAutoCompactions checks that we can // disable and enable the auto compaction. // This is needed for unit tests that rely on // checking state before and after a compaction. func TestDisableAutoCompactions(t *testing.T) { db := openTestDB(t, nil, nil) defer func() { require.NoError(t, db.Close()) }() blockRange := db.compactor.(*LeveledCompactor).ranges[0] label := labels.FromStrings("foo", "bar") // Trigger a compaction to check that it was skipped and // no new blocks were created when compaction is disabled. db.DisableCompactions() app := db.Appender(context.Background()) for i := int64(0); i < 3; i++ { _, err := app.Append(0, label, i*blockRange, 0) require.NoError(t, err) _, err = app.Append(0, label, i*blockRange+1000, 0) require.NoError(t, err) } require.NoError(t, app.Commit()) select { case db.compactc <- struct{}{}: default: } for x := 0; x < 10; x++ { if prom_testutil.ToFloat64(db.metrics.compactionsSkipped) > 0.0 { break } time.Sleep(10 * time.Millisecond) } require.Greater(t, prom_testutil.ToFloat64(db.metrics.compactionsSkipped), 0.0, "No compaction was skipped after the set timeout.") require.Equal(t, 0, len(db.blocks)) // Enable the compaction, trigger it and check that the block is persisted. db.EnableCompactions() select { case db.compactc <- struct{}{}: default: } for x := 0; x < 100; x++ { if len(db.Blocks()) > 0 { break } time.Sleep(100 * time.Millisecond) } require.Greater(t, len(db.Blocks()), 0, "No block was persisted after the set timeout.") } // TestCancelCompactions ensures that when the db is closed // any running compaction is cancelled to unblock closing the db. func TestCancelCompactions(t *testing.T) { tmpdir := t.TempDir() // Create some blocks to fall within the compaction range. createBlock(t, tmpdir, genSeries(1, 10000, 0, 1000)) createBlock(t, tmpdir, genSeries(1, 10000, 1000, 2000)) createBlock(t, tmpdir, genSeries(1, 1, 2000, 2001)) // The most recent block is ignored so can be e small one. // Copy the db so we have an exact copy to compare compaction times. tmpdirCopy := tmpdir + "Copy" err := fileutil.CopyDirs(tmpdir, tmpdirCopy) require.NoError(t, err) defer func() { require.NoError(t, os.RemoveAll(tmpdirCopy)) }() // Measure the compaction time without interrupting it. var timeCompactionUninterrupted time.Duration { db, err := open(tmpdir, log.NewNopLogger(), nil, DefaultOptions(), []int64{1, 2000}, nil) require.NoError(t, err) require.Equal(t, 3, len(db.Blocks()), "initial block count mismatch") require.Equal(t, 0.0, prom_testutil.ToFloat64(db.compactor.(*LeveledCompactor).metrics.ran), "initial compaction counter mismatch") db.compactc <- struct{}{} // Trigger a compaction. for prom_testutil.ToFloat64(db.compactor.(*LeveledCompactor).metrics.populatingBlocks) <= 0 { time.Sleep(3 * time.Millisecond) } start := time.Now() for prom_testutil.ToFloat64(db.compactor.(*LeveledCompactor).metrics.ran) != 1 { time.Sleep(3 * time.Millisecond) } timeCompactionUninterrupted = time.Since(start) require.NoError(t, db.Close()) } // Measure the compaction time when closing the db in the middle of compaction. { db, err := open(tmpdirCopy, log.NewNopLogger(), nil, DefaultOptions(), []int64{1, 2000}, nil) require.NoError(t, err) require.Equal(t, 3, len(db.Blocks()), "initial block count mismatch") require.Equal(t, 0.0, prom_testutil.ToFloat64(db.compactor.(*LeveledCompactor).metrics.ran), "initial compaction counter mismatch") db.compactc <- struct{}{} // Trigger a compaction. for prom_testutil.ToFloat64(db.compactor.(*LeveledCompactor).metrics.populatingBlocks) <= 0 { time.Sleep(3 * time.Millisecond) } start := time.Now() require.NoError(t, db.Close()) actT := time.Since(start) expT := timeCompactionUninterrupted / 2 // Closing the db in the middle of compaction should less than half the time. require.True(t, actT < expT, "closing the db took more than expected. exp: <%v, act: %v", expT, actT) // Make sure that no blocks were marked as compaction failed. // This checks that the `context.Canceled` error is properly checked at all levels: // - tsdb_errors.NewMulti() should have the Is() method implemented for correct checks. // - callers should check with errors.Is() instead of ==. readOnlyDB, err := OpenDBReadOnly(tmpdirCopy, log.NewNopLogger()) require.NoError(t, err) blocks, err := readOnlyDB.Blocks() require.NoError(t, err) for i, b := range blocks { require.Falsef(t, b.Meta().Compaction.Failed, "block %d (%s) should not be marked as compaction failed", i, b.Meta().ULID) } } } // TestDeleteCompactionBlockAfterFailedReload ensures that a failed reloadBlocks immediately after a compaction // deletes the resulting block to avoid creatings blocks with the same time range. func TestDeleteCompactionBlockAfterFailedReload(t *testing.T) { tests := map[string]func(*DB) int{ "Test Head Compaction": func(db *DB) int { rangeToTriggerCompaction := db.compactor.(*LeveledCompactor).ranges[0]/2*3 - 1 defaultLabel := labels.FromStrings("foo", "bar") // Add some data to the head that is enough to trigger a compaction. app := db.Appender(context.Background()) _, err := app.Append(0, defaultLabel, 1, 0) require.NoError(t, err) _, err = app.Append(0, defaultLabel, 2, 0) require.NoError(t, err) _, err = app.Append(0, defaultLabel, 3+rangeToTriggerCompaction, 0) require.NoError(t, err) require.NoError(t, app.Commit()) return 0 }, "Test Block Compaction": func(db *DB) int { blocks := []*BlockMeta{ {MinTime: 0, MaxTime: 100}, {MinTime: 100, MaxTime: 150}, {MinTime: 150, MaxTime: 200}, } for _, m := range blocks { createBlock(t, db.Dir(), genSeries(1, 1, m.MinTime, m.MaxTime)) } require.NoError(t, db.reload()) require.Equal(t, len(blocks), len(db.Blocks()), "unexpected block count after a reloadBlocks") return len(blocks) }, } for title, bootStrap := range tests { t.Run(title, func(t *testing.T) { db := openTestDB(t, nil, []int64{1, 100}) defer func() { require.NoError(t, db.Close()) }() db.DisableCompactions() expBlocks := bootStrap(db) // Create a block that will trigger the reloadBlocks to fail. blockPath := createBlock(t, db.Dir(), genSeries(1, 1, 200, 300)) lastBlockIndex := path.Join(blockPath, indexFilename) actBlocks, err := blockDirs(db.Dir()) require.NoError(t, err) require.Equal(t, expBlocks, len(actBlocks)-1) // -1 to exclude the corrupted block. require.NoError(t, os.RemoveAll(lastBlockIndex)) // Corrupt the block by removing the index file. require.Equal(t, 0.0, prom_testutil.ToFloat64(db.metrics.reloadsFailed), "initial 'failed db reloadBlocks' count metrics mismatch") require.Equal(t, 0.0, prom_testutil.ToFloat64(db.compactor.(*LeveledCompactor).metrics.ran), "initial `compactions` count metric mismatch") require.Equal(t, 0.0, prom_testutil.ToFloat64(db.metrics.compactionsFailed), "initial `compactions failed` count metric mismatch") // Do the compaction and check the metrics. // Compaction should succeed, but the reloadBlocks should fail and // the new block created from the compaction should be deleted. require.Error(t, db.Compact()) require.Equal(t, 1.0, prom_testutil.ToFloat64(db.metrics.reloadsFailed), "'failed db reloadBlocks' count metrics mismatch") require.Equal(t, 1.0, prom_testutil.ToFloat64(db.compactor.(*LeveledCompactor).metrics.ran), "`compaction` count metric mismatch") require.Equal(t, 1.0, prom_testutil.ToFloat64(db.metrics.compactionsFailed), "`compactions failed` count metric mismatch") actBlocks, err = blockDirs(db.Dir()) require.NoError(t, err) require.Equal(t, expBlocks, len(actBlocks)-1, "block count should be the same as before the compaction") // -1 to exclude the corrupted block. }) } } func TestOpenBlocksForCompaction(t *testing.T) { dir := t.TempDir() const blocks = 5 var blockDirs []string for ix := 0; ix < blocks; ix++ { d := createBlock(t, dir, genSeries(100, 10, 0, 5000)) blockDirs = append(blockDirs, d) } // Open subset of blocks first. const blocksToOpen = 2 opened, toClose, err := openBlocksForCompaction(blockDirs[:blocksToOpen], nil, log.NewNopLogger(), nil, 10) for _, b := range toClose { defer func(b *Block) { require.NoError(t, b.Close()) }(b) } require.NoError(t, err) checkBlocks(t, opened, blockDirs[:blocksToOpen]...) checkBlocks(t, toClose, blockDirs[:blocksToOpen]...) // Open all blocks, but provide previously opened blocks. opened2, toClose2, err := openBlocksForCompaction(blockDirs, opened, log.NewNopLogger(), nil, 10) for _, b := range toClose2 { defer func(b *Block) { require.NoError(t, b.Close()) }(b) } require.NoError(t, err) checkBlocks(t, opened2, blockDirs...) checkBlocks(t, toClose2, blockDirs[blocksToOpen:]...) } func TestOpenBlocksForCompactionErrorsNoMeta(t *testing.T) { dir := t.TempDir() const blocks = 5 var blockDirs []string for ix := 0; ix < blocks; ix++ { d := createBlock(t, dir, genSeries(100, 10, 0, 5000)) blockDirs = append(blockDirs, d) if ix == 3 { blockDirs = append(blockDirs, path.Join(dir, "invalid-block")) } } // open block[0] b0, err := OpenBlock(log.NewNopLogger(), blockDirs[0], nil) require.NoError(t, err) defer func() { require.NoError(t, b0.Close()) }() _, toClose, err := openBlocksForCompaction(blockDirs, []*Block{b0}, log.NewNopLogger(), nil, 10) require.Error(t, err) // We didn't get to opening more blocks, because we found invalid dir, so there is nothing to close. require.Empty(t, toClose) } func TestOpenBlocksForCompactionErrorsMissingIndex(t *testing.T) { dir := t.TempDir() const blocks = 5 var blockDirs []string for ix := 0; ix < blocks; ix++ { d := createBlock(t, dir, genSeries(100, 10, 0, 5000)) blockDirs = append(blockDirs, d) if ix == 3 { require.NoError(t, os.Remove(path.Join(d, indexFilename))) } } // open block[1] b1, err := OpenBlock(log.NewNopLogger(), blockDirs[1], nil) require.NoError(t, err) defer func() { require.NoError(t, b1.Close()) }() // We use concurrency = 1 to simplify the test. // Block[0] will be opened correctly. // Block[1] is already opened. // Block[2] will be opened correctly. // Block[3] is invalid and will cause error. // Block[4] will not be opened at all. opened, toClose, err := openBlocksForCompaction(blockDirs, []*Block{b1}, log.NewNopLogger(), nil, 1) for _, b := range toClose { defer func(b *Block) { require.NoError(t, b.Close()) }(b) } require.Error(t, err) checkBlocks(t, opened, blockDirs[0:3]...) checkBlocks(t, toClose, blockDirs[0], blockDirs[2]) } // Check that blocks match IDs from directories. func checkBlocks(t *testing.T, blocks []*Block, dirs ...string) { t.Helper() blockIDs := map[string]struct{}{} for _, b := range blocks { blockIDs[b.Meta().ULID.String()] = struct{}{} } dirBlockIDs := map[string]struct{}{} for _, d := range dirs { m, _, err := readMetaFile(d) require.NoError(t, err) dirBlockIDs[m.ULID.String()] = struct{}{} } require.Equal(t, blockIDs, dirBlockIDs) } func TestHeadCompactionWithHistograms(t *testing.T) { for _, floatTest := range []bool{true, false} { t.Run(fmt.Sprintf("float=%t", floatTest), func(t *testing.T) { head, _ := newTestHead(t, DefaultBlockDuration, false, false) require.NoError(t, head.Init(0)) t.Cleanup(func() { require.NoError(t, head.Close()) }) minute := func(m int) int64 { return int64(m) * time.Minute.Milliseconds() } ctx := context.Background() appendHistogram := func( lbls labels.Labels, from, to int, h *histogram.Histogram, exp *[]tsdbutil.Sample, ) { t.Helper() app := head.Appender(ctx) for tsMinute := from; tsMinute <= to; tsMinute++ { var err error if floatTest { _, err = app.AppendHistogram(0, lbls, minute(tsMinute), nil, h.ToFloat()) efh := h.ToFloat() if tsMinute == from { efh.CounterResetHint = histogram.UnknownCounterReset } else { efh.CounterResetHint = histogram.NotCounterReset } *exp = append(*exp, sample{t: minute(tsMinute), fh: efh}) } else { _, err = app.AppendHistogram(0, lbls, minute(tsMinute), h, nil) eh := h.Copy() if tsMinute == from { eh.CounterResetHint = histogram.UnknownCounterReset } else { eh.CounterResetHint = histogram.NotCounterReset } *exp = append(*exp, sample{t: minute(tsMinute), h: eh}) } require.NoError(t, err) } require.NoError(t, app.Commit()) } appendFloat := func(lbls labels.Labels, from, to int, exp *[]tsdbutil.Sample) { t.Helper() app := head.Appender(ctx) for tsMinute := from; tsMinute <= to; tsMinute++ { _, err := app.Append(0, lbls, minute(tsMinute), float64(tsMinute)) require.NoError(t, err) *exp = append(*exp, sample{t: minute(tsMinute), v: float64(tsMinute)}) } require.NoError(t, app.Commit()) } var ( series1 = labels.FromStrings("foo", "bar1") series2 = labels.FromStrings("foo", "bar2") series3 = labels.FromStrings("foo", "bar3") series4 = labels.FromStrings("foo", "bar4") exp1, exp2, exp3, exp4 []tsdbutil.Sample ) h := &histogram.Histogram{ Count: 11, ZeroCount: 4, ZeroThreshold: 0.001, Sum: 35.5, Schema: 1, PositiveSpans: []histogram.Span{ {Offset: 0, Length: 2}, {Offset: 2, Length: 2}, }, PositiveBuckets: []int64{1, 1, -1, 0}, NegativeSpans: []histogram.Span{ {Offset: 0, Length: 1}, {Offset: 1, Length: 2}, }, NegativeBuckets: []int64{1, 2, -1}, } // Series with only histograms. appendHistogram(series1, 100, 105, h, &exp1) // Series starting with float and then getting histograms. appendFloat(series2, 100, 102, &exp2) appendHistogram(series2, 103, 105, h.Copy(), &exp2) appendFloat(series2, 106, 107, &exp2) appendHistogram(series2, 108, 109, h.Copy(), &exp2) // Series starting with histogram and then getting float. appendHistogram(series3, 101, 103, h.Copy(), &exp3) appendFloat(series3, 104, 106, &exp3) appendHistogram(series3, 107, 108, h.Copy(), &exp3) appendFloat(series3, 109, 110, &exp3) // A float only series. appendFloat(series4, 100, 102, &exp4) // Compaction. mint := head.MinTime() maxt := head.MaxTime() + 1 // Block intervals are half-open: [b.MinTime, b.MaxTime). compactor, err := NewLeveledCompactor(context.Background(), nil, nil, []int64{DefaultBlockDuration}, chunkenc.NewPool(), nil, true) require.NoError(t, err) id, err := compactor.Write(head.opts.ChunkDirRoot, head, mint, maxt, nil) require.NoError(t, err) require.NotEqual(t, ulid.ULID{}, id) // Open the block and query it and check the histograms. block, err := OpenBlock(nil, path.Join(head.opts.ChunkDirRoot, id.String()), nil) require.NoError(t, err) t.Cleanup(func() { require.NoError(t, block.Close()) }) q, err := NewBlockQuerier(block, block.MinTime(), block.MaxTime()) require.NoError(t, err) actHists := query(t, q, labels.MustNewMatcher(labels.MatchRegexp, "foo", "bar.*")) require.Equal(t, map[string][]tsdbutil.Sample{ series1.String(): exp1, series2.String(): exp2, series3.String(): exp3, series4.String(): exp4, }, actHists) }) } } // Depending on numSeriesPerSchema, it can take few gigs of memory; // the test adds all samples to appender before committing instead of // buffering the writes to make it run faster. func TestSparseHistogramSpaceSavings(t *testing.T) { t.Skip() cases := []struct { numSeriesPerSchema int numBuckets int numSpans int gapBetweenSpans int }{ {1, 15, 1, 0}, {1, 50, 1, 0}, {1, 100, 1, 0}, {1, 15, 3, 5}, {1, 50, 3, 3}, {1, 100, 3, 2}, {100, 15, 1, 0}, {100, 50, 1, 0}, {100, 100, 1, 0}, {100, 15, 3, 5}, {100, 50, 3, 3}, {100, 100, 3, 2}, //{1000, 15, 1, 0}, //{1000, 50, 1, 0}, //{1000, 100, 1, 0}, //{1000, 15, 3, 5}, //{1000, 50, 3, 3}, //{1000, 100, 3, 2}, } type testSummary struct { oldBlockTotalSeries int oldBlockIndexSize int64 oldBlockChunksSize int64 oldBlockTotalSize int64 sparseBlockTotalSeries int sparseBlockIndexSize int64 sparseBlockChunksSize int64 sparseBlockTotalSize int64 numBuckets int numSpans int gapBetweenSpans int } var summaries []testSummary allSchemas := []int{-4, -3, -2, -1, 0, 1, 2, 3, 4, 5, 6, 7, 8} schemaDescription := []string{"minus_4", "minus_3", "minus_2", "minus_1", "0", "1", "2", "3", "4", "5", "6", "7", "8"} numHistograms := 120 * 4 // 15s scrape interval. timeStep := DefaultBlockDuration / int64(numHistograms) for _, c := range cases { t.Run( fmt.Sprintf("series=%d,span=%d,gap=%d,buckets=%d", len(allSchemas)*c.numSeriesPerSchema, c.numSpans, c.gapBetweenSpans, c.numBuckets, ), func(t *testing.T) { oldHead, _ := newTestHead(t, DefaultBlockDuration, false, false) t.Cleanup(func() { require.NoError(t, oldHead.Close()) }) sparseHead, _ := newTestHead(t, DefaultBlockDuration, false, false) t.Cleanup(func() { require.NoError(t, sparseHead.Close()) }) var allSparseSeries []struct { baseLabels labels.Labels hists []*histogram.Histogram } for sid, schema := range allSchemas { for i := 0; i < c.numSeriesPerSchema; i++ { lbls := labels.FromStrings( "__name__", fmt.Sprintf("rpc_durations_%d_histogram_seconds", i), "instance", "localhost:8080", "job", fmt.Sprintf("sparse_histogram_schema_%s", schemaDescription[sid]), ) allSparseSeries = append(allSparseSeries, struct { baseLabels labels.Labels hists []*histogram.Histogram }{baseLabels: lbls, hists: generateCustomHistograms(numHistograms, c.numBuckets, c.numSpans, c.gapBetweenSpans, schema)}) } } oldApp := oldHead.Appender(context.Background()) sparseApp := sparseHead.Appender(context.Background()) numOldSeriesPerHistogram := 0 var oldULID ulid.ULID var sparseULID ulid.ULID var wg sync.WaitGroup wg.Add(1) go func() { defer wg.Done() // Ingest sparse histograms. for _, ah := range allSparseSeries { var ( ref storage.SeriesRef err error ) for i := 0; i < numHistograms; i++ { ts := int64(i) * timeStep ref, err = sparseApp.AppendHistogram(ref, ah.baseLabels, ts, ah.hists[i], nil) require.NoError(t, err) } } require.NoError(t, sparseApp.Commit()) // Sparse head compaction. mint := sparseHead.MinTime() maxt := sparseHead.MaxTime() + 1 // Block intervals are half-open: [b.MinTime, b.MaxTime). compactor, err := NewLeveledCompactor(context.Background(), nil, nil, []int64{DefaultBlockDuration}, chunkenc.NewPool(), nil, true) require.NoError(t, err) sparseULID, err = compactor.Write(sparseHead.opts.ChunkDirRoot, sparseHead, mint, maxt, nil) require.NoError(t, err) require.NotEqual(t, ulid.ULID{}, sparseULID) }() wg.Add(1) go func() { defer wg.Done() // Ingest histograms the old way. for _, ah := range allSparseSeries { refs := make([]storage.SeriesRef, c.numBuckets+((c.numSpans-1)*c.gapBetweenSpans)) for i := 0; i < numHistograms; i++ { ts := int64(i) * timeStep h := ah.hists[i] numOldSeriesPerHistogram = 0 it := h.CumulativeBucketIterator() itIdx := 0 var err error for it.Next() { numOldSeriesPerHistogram++ b := it.At() lbls := labels.NewBuilder(ah.baseLabels).Set("le", fmt.Sprintf("%.16f", b.Upper)).Labels(labels.EmptyLabels()) refs[itIdx], err = oldApp.Append(refs[itIdx], lbls, ts, float64(b.Count)) require.NoError(t, err) itIdx++ } baseName := ah.baseLabels.Get(labels.MetricName) // _count metric. countLbls := labels.NewBuilder(ah.baseLabels).Set(labels.MetricName, baseName+"_count").Labels(labels.EmptyLabels()) _, err = oldApp.Append(0, countLbls, ts, float64(h.Count)) require.NoError(t, err) numOldSeriesPerHistogram++ // _sum metric. sumLbls := labels.NewBuilder(ah.baseLabels).Set(labels.MetricName, baseName+"_sum").Labels(labels.EmptyLabels()) _, err = oldApp.Append(0, sumLbls, ts, h.Sum) require.NoError(t, err) numOldSeriesPerHistogram++ } } require.NoError(t, oldApp.Commit()) // Old head compaction. mint := oldHead.MinTime() maxt := oldHead.MaxTime() + 1 // Block intervals are half-open: [b.MinTime, b.MaxTime). compactor, err := NewLeveledCompactor(context.Background(), nil, nil, []int64{DefaultBlockDuration}, chunkenc.NewPool(), nil, true) require.NoError(t, err) oldULID, err = compactor.Write(oldHead.opts.ChunkDirRoot, oldHead, mint, maxt, nil) require.NoError(t, err) require.NotEqual(t, ulid.ULID{}, oldULID) }() wg.Wait() oldBlockDir := filepath.Join(oldHead.opts.ChunkDirRoot, oldULID.String()) sparseBlockDir := filepath.Join(sparseHead.opts.ChunkDirRoot, sparseULID.String()) oldSize, err := fileutil.DirSize(oldBlockDir) require.NoError(t, err) oldIndexSize, err := fileutil.DirSize(filepath.Join(oldBlockDir, "index")) require.NoError(t, err) oldChunksSize, err := fileutil.DirSize(filepath.Join(oldBlockDir, "chunks")) require.NoError(t, err) sparseSize, err := fileutil.DirSize(sparseBlockDir) require.NoError(t, err) sparseIndexSize, err := fileutil.DirSize(filepath.Join(sparseBlockDir, "index")) require.NoError(t, err) sparseChunksSize, err := fileutil.DirSize(filepath.Join(sparseBlockDir, "chunks")) require.NoError(t, err) summaries = append(summaries, testSummary{ oldBlockTotalSeries: len(allSchemas) * c.numSeriesPerSchema * numOldSeriesPerHistogram, oldBlockIndexSize: oldIndexSize, oldBlockChunksSize: oldChunksSize, oldBlockTotalSize: oldSize, sparseBlockTotalSeries: len(allSchemas) * c.numSeriesPerSchema, sparseBlockIndexSize: sparseIndexSize, sparseBlockChunksSize: sparseChunksSize, sparseBlockTotalSize: sparseSize, numBuckets: c.numBuckets, numSpans: c.numSpans, gapBetweenSpans: c.gapBetweenSpans, }) }) } for _, s := range summaries { fmt.Printf(` Meta: NumBuckets=%d, NumSpans=%d, GapBetweenSpans=%d Old Block: NumSeries=%d, IndexSize=%d, ChunksSize=%d, TotalSize=%d Sparse Block: NumSeries=%d, IndexSize=%d, ChunksSize=%d, TotalSize=%d Savings: Index=%.2f%%, Chunks=%.2f%%, Total=%.2f%% `, s.numBuckets, s.numSpans, s.gapBetweenSpans, s.oldBlockTotalSeries, s.oldBlockIndexSize, s.oldBlockChunksSize, s.oldBlockTotalSize, s.sparseBlockTotalSeries, s.sparseBlockIndexSize, s.sparseBlockChunksSize, s.sparseBlockTotalSize, 100*(1-float64(s.sparseBlockIndexSize)/float64(s.oldBlockIndexSize)), 100*(1-float64(s.sparseBlockChunksSize)/float64(s.oldBlockChunksSize)), 100*(1-float64(s.sparseBlockTotalSize)/float64(s.oldBlockTotalSize)), ) } } func generateCustomHistograms(numHists, numBuckets, numSpans, gapBetweenSpans, schema int) (r []*histogram.Histogram) { // First histogram with all the settings. h := &histogram.Histogram{ Sum: 1000 * rand.Float64(), Schema: int32(schema), } // Generate spans. h.PositiveSpans = []histogram.Span{ {Offset: int32(rand.Intn(10)), Length: uint32(numBuckets)}, } if numSpans > 1 { spanWidth := numBuckets / numSpans // First span gets those additional buckets. h.PositiveSpans[0].Length = uint32(spanWidth + (numBuckets - spanWidth*numSpans)) for i := 0; i < numSpans-1; i++ { h.PositiveSpans = append(h.PositiveSpans, histogram.Span{Offset: int32(rand.Intn(gapBetweenSpans) + 1), Length: uint32(spanWidth)}) } } // Generate buckets. v := int64(rand.Intn(30) + 1) h.PositiveBuckets = []int64{v} count := v firstHistValues := []int64{v} for i := 0; i < numBuckets-1; i++ { delta := int64(rand.Intn(20)) if rand.Int()%2 == 0 && firstHistValues[len(firstHistValues)-1] > delta { // Randomly making delta negative such that curr value will be >0. delta = -delta } currVal := firstHistValues[len(firstHistValues)-1] + delta count += currVal firstHistValues = append(firstHistValues, currVal) h.PositiveBuckets = append(h.PositiveBuckets, delta) } h.Count = uint64(count) r = append(r, h) // Remaining histograms with same spans but changed bucket values. for j := 0; j < numHists-1; j++ { newH := h.Copy() newH.Sum = float64(j+1) * 1000 * rand.Float64() // Generate buckets. count := int64(0) currVal := int64(0) for i := range newH.PositiveBuckets { delta := int64(rand.Intn(10)) if i == 0 { newH.PositiveBuckets[i] += delta currVal = newH.PositiveBuckets[i] continue } currVal += newH.PositiveBuckets[i] if rand.Int()%2 == 0 && (currVal-delta) > firstHistValues[i] { // Randomly making delta negative such that curr value will be >0 // and above the previous count since we are not doing resets here. delta = -delta } newH.PositiveBuckets[i] += delta currVal += delta count += currVal } newH.Count = uint64(count) r = append(r, newH) h = newH } return r } func TestCompactBlockMetas(t *testing.T) { parent1 := ulid.MustNew(100, nil) parent2 := ulid.MustNew(200, nil) parent3 := ulid.MustNew(300, nil) parent4 := ulid.MustNew(400, nil) input := []*BlockMeta{ {ULID: parent1, MinTime: 1000, MaxTime: 2000, Compaction: BlockMetaCompaction{Level: 2, Sources: []ulid.ULID{ulid.MustNew(1, nil), ulid.MustNew(10, nil)}}}, {ULID: parent2, MinTime: 200, MaxTime: 500, Compaction: BlockMetaCompaction{Level: 1}}, {ULID: parent3, MinTime: 500, MaxTime: 2500, Compaction: BlockMetaCompaction{Level: 3, Sources: []ulid.ULID{ulid.MustNew(5, nil), ulid.MustNew(6, nil)}}}, {ULID: parent4, MinTime: 100, MaxTime: 900, Compaction: BlockMetaCompaction{Level: 1}}, } outUlid := ulid.MustNew(1000, nil) output := CompactBlockMetas(outUlid, input...) expected := &BlockMeta{ ULID: outUlid, MinTime: 100, MaxTime: 2500, Stats: BlockStats{}, Compaction: BlockMetaCompaction{ Level: 4, Sources: []ulid.ULID{ulid.MustNew(1, nil), ulid.MustNew(5, nil), ulid.MustNew(6, nil), ulid.MustNew(10, nil)}, Parents: []BlockDesc{ {ULID: parent1, MinTime: 1000, MaxTime: 2000}, {ULID: parent2, MinTime: 200, MaxTime: 500}, {ULID: parent3, MinTime: 500, MaxTime: 2500}, {ULID: parent4, MinTime: 100, MaxTime: 900}, }, }, } require.Equal(t, expected, output) } func TestLeveledCompactor_plan_overlapping_disabled(t *testing.T) { // This mimics our default ExponentialBlockRanges with min block size equals to 20. compactor, err := NewLeveledCompactor(context.Background(), nil, nil, []int64{ 20, 60, 180, 540, 1620, }, nil, nil, false) require.NoError(t, err) cases := map[string]struct { metas []dirMeta expected []string }{ "Outside Range": { metas: []dirMeta{ metaRange("1", 0, 20, nil), }, expected: nil, }, "We should wait for four blocks of size 20 to appear before compacting.": { metas: []dirMeta{ metaRange("1", 0, 20, nil), metaRange("2", 20, 40, nil), }, expected: nil, }, `We should wait for a next block of size 20 to appear before compacting the existing ones. We have three, but we ignore the fresh one from WAl`: { metas: []dirMeta{ metaRange("1", 0, 20, nil), metaRange("2", 20, 40, nil), metaRange("3", 40, 60, nil), }, expected: nil, }, "Block to fill the entire parent range appeared – should be compacted": { metas: []dirMeta{ metaRange("1", 0, 20, nil), metaRange("2", 20, 40, nil), metaRange("3", 40, 60, nil), metaRange("4", 60, 80, nil), }, expected: []string{"1", "2", "3"}, }, `Block for the next parent range appeared with gap with size 20. Nothing will happen in the first one anymore but we ignore fresh one still, so no compaction`: { metas: []dirMeta{ metaRange("1", 0, 20, nil), metaRange("2", 20, 40, nil), metaRange("3", 60, 80, nil), }, expected: nil, }, `Block for the next parent range appeared, and we have a gap with size 20 between second and third block. We will not get this missed gap anymore and we should compact just these two.`: { metas: []dirMeta{ metaRange("1", 0, 20, nil), metaRange("2", 20, 40, nil), metaRange("3", 60, 80, nil), metaRange("4", 80, 100, nil), }, expected: []string{"1", "2"}, }, "We have 20, 20, 20, 60, 60 range blocks. '5' is marked as fresh one": { metas: []dirMeta{ metaRange("1", 0, 20, nil), metaRange("2", 20, 40, nil), metaRange("3", 40, 60, nil), metaRange("4", 60, 120, nil), metaRange("5", 120, 180, nil), }, expected: []string{"1", "2", "3"}, }, "We have 20, 60, 20, 60, 240 range blocks. We can compact 20 + 60 + 60": { metas: []dirMeta{ metaRange("2", 20, 40, nil), metaRange("4", 60, 120, nil), metaRange("5", 960, 980, nil), // Fresh one. metaRange("6", 120, 180, nil), metaRange("7", 720, 960, nil), }, expected: []string{"2", "4", "6"}, }, "Do not select large blocks that have many tombstones when there is no fresh block": { metas: []dirMeta{ metaRange("1", 0, 540, &BlockStats{ NumSeries: 10, NumTombstones: 3, }), }, expected: nil, }, "Select large blocks that have many tombstones when fresh appears": { metas: []dirMeta{ metaRange("1", 0, 540, &BlockStats{ NumSeries: 10, NumTombstones: 3, }), metaRange("2", 540, 560, nil), }, expected: []string{"1"}, }, "For small blocks, do not compact tombstones, even when fresh appears.": { metas: []dirMeta{ metaRange("1", 0, 60, &BlockStats{ NumSeries: 10, NumTombstones: 3, }), metaRange("2", 60, 80, nil), }, expected: nil, }, `Regression test: we were stuck in a compact loop where we always recompacted the same block when tombstones and series counts were zero`: { metas: []dirMeta{ metaRange("1", 0, 540, &BlockStats{ NumSeries: 0, NumTombstones: 0, }), metaRange("2", 540, 560, nil), }, expected: nil, }, `Regression test: we were wrongly assuming that new block is fresh from WAL when its ULID is newest. We need to actually look on max time instead. With previous, wrong approach "8" block was ignored, so we were wrongly compacting 5 and 7 and introducing block overlaps`: { metas: []dirMeta{ metaRange("5", 0, 360, nil), metaRange("6", 540, 560, nil), // Fresh one. metaRange("7", 360, 420, nil), metaRange("8", 420, 540, nil), }, expected: []string{"7", "8"}, }, // |--------------| // |----------------| // |--------------| "Overlapping blocks 1": { metas: []dirMeta{ metaRange("1", 0, 20, nil), metaRange("2", 19, 40, nil), metaRange("3", 40, 60, nil), }, expected: nil, }, // |--------------| // |--------------| // |--------------| "Overlapping blocks 2": { metas: []dirMeta{ metaRange("1", 0, 20, nil), metaRange("2", 20, 40, nil), metaRange("3", 30, 50, nil), }, expected: nil, }, // |--------------| // |---------------------| // |--------------| "Overlapping blocks 3": { metas: []dirMeta{ metaRange("1", 0, 20, nil), metaRange("2", 10, 40, nil), metaRange("3", 30, 50, nil), }, expected: nil, }, // |--------------| // |--------------------------------| // |--------------| // |--------------| "Overlapping blocks 4": { metas: []dirMeta{ metaRange("5", 0, 360, nil), metaRange("6", 340, 560, nil), metaRange("7", 360, 420, nil), metaRange("8", 420, 540, nil), }, expected: nil, }, // |--------------| // |--------------| // |--------------| // |--------------| "Overlapping blocks 5": { metas: []dirMeta{ metaRange("1", 0, 10, nil), metaRange("2", 9, 20, nil), metaRange("3", 30, 40, nil), metaRange("4", 39, 50, nil), }, expected: nil, }, } for title, c := range cases { if !t.Run(title, func(t *testing.T) { res, err := compactor.plan(c.metas) require.NoError(t, err) require.Equal(t, c.expected, res) }) { return } } } func TestAsyncBlockWriterSuccess(t *testing.T) { cw, err := chunks.NewWriter(t.TempDir()) require.NoError(t, err) const series = 100 // prepare index, add all symbols iw, err := index.NewWriter(context.Background(), filepath.Join(t.TempDir(), indexFilename)) require.NoError(t, err) require.NoError(t, iw.AddSymbol("__name__")) for ix := 0; ix < series; ix++ { s := fmt.Sprintf("s_%3d", ix) require.NoError(t, iw.AddSymbol(s)) } // async block writer expects index writer ready to receive series. abw := newAsyncBlockWriter(chunkenc.NewPool(), cw, iw, semaphore.NewWeighted(int64(1))) for ix := 0; ix < series; ix++ { s := fmt.Sprintf("s_%3d", ix) require.NoError(t, abw.addSeries(labels.FromStrings("__name__", s), []chunks.Meta{{Chunk: randomChunk(t), MinTime: 0, MaxTime: math.MaxInt64}})) } // signal that no more series are coming abw.closeAsync() // We can do this repeatedly. abw.closeAsync() abw.closeAsync() // wait for result stats, err := abw.waitFinished() require.NoError(t, err) require.Equal(t, uint64(series), stats.NumSeries) require.Equal(t, uint64(series), stats.NumChunks) // We get the same result on subsequent calls to waitFinished. for i := 0; i < 5; i++ { newstats, err := abw.waitFinished() require.NoError(t, err) require.Equal(t, stats, newstats) // We can call close async again, as long as it's on the same goroutine. abw.closeAsync() } } func TestAsyncBlockWriterFailure(t *testing.T) { cw, err := chunks.NewWriter(t.TempDir()) require.NoError(t, err) // We don't write symbols to this index writer, so adding series next will fail. iw, err := index.NewWriter(context.Background(), filepath.Join(t.TempDir(), indexFilename)) require.NoError(t, err) // async block writer expects index writer ready to receive series. abw := newAsyncBlockWriter(chunkenc.NewPool(), cw, iw, semaphore.NewWeighted(int64(1))) // Adding single series doesn't fail, as it just puts it onto the queue. require.NoError(t, abw.addSeries(labels.FromStrings("__name__", "test"), []chunks.Meta{{Chunk: randomChunk(t), MinTime: 0, MaxTime: math.MaxInt64}})) // Signal that no more series are coming. abw.closeAsync() // We can do this repeatedly. abw.closeAsync() abw.closeAsync() // Wait for result, this time we get error due to missing symbols. _, err = abw.waitFinished() require.Error(t, err) require.ErrorContains(t, err, "unknown symbol") // We get the same error on each repeated call to waitFinished. for i := 0; i < 5; i++ { _, nerr := abw.waitFinished() require.Equal(t, err, nerr) // We can call close async again, as long as it's on the same goroutine. abw.closeAsync() } } func randomChunk(t *testing.T) chunkenc.Chunk { chunk := chunkenc.NewXORChunk() l := rand.Int() % 120 app, err := chunk.Appender() require.NoError(t, err) for i := 0; i < l; i++ { app.Append(rand.Int63(), rand.Float64()) } return chunk }