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prometheus/tsdb/compact_test.go

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// 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"
"errors"
"fmt"
"math"
"math/rand"
"os"
"path"
"path/filepath"
"runtime"
"strconv"
"sync"
"testing"
"time"
"github.com/go-kit/log"
"github.com/oklog/ulid"
prom_testutil "github.com/prometheus/client_golang/prometheus/testutil"
"github.com/stretchr/testify/require"
"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"
"github.com/prometheus/prometheus/tsdb/wlog"
)
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)
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)
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)
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 := NewLeveledCompactor(context.Background(), nil, log.NewNopLogger(), []int64{
20,
60,
240,
720,
2160,
}, nil, nil)
require.NoError(t, err)
tmpdir := t.TempDir()
require.Error(t, compactor.write(tmpdir, &BlockMeta{}, DefaultBlockPopulator{}, erringBReader{}))
_, err = os.Stat(filepath.Join(tmpdir, BlockMeta{}.ULID.String()) + tmpForCreationBlockDirSuffix)
require.True(t, os.IsNotExist(err), "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.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_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.
irPostingsFunc IndexReaderPostingsFunc
expSeriesSamples []seriesSamples
expErr error
}{
{
title: "Populate block from empty input should return error.",
inputSeriesSamples: [][]seriesSamples{},
expErr: errors.New("cannot populate block 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}}},
},
},
},
{
// Regression test for populateWithDelChunkSeriesIterator failing to set minTime on chunks.
title: "Populate from mixed type series and expect sample inside the interval only.",
compactMinTime: 1,
compactMaxTime: 11,
inputSeriesSamples: [][]seriesSamples{
{
{
lset: map[string]string{"a": "1"},
chunks: [][]sample{
{{t: 0, h: tsdbutil.GenerateTestHistogram(0)}, {t: 1, h: tsdbutil.GenerateTestHistogram(1)}},
{{t: 10, f: 1}, {t: 11, f: 2}},
},
},
},
},
expSeriesSamples: []seriesSamples{
{
lset: map[string]string{"a": "1"},
chunks: [][]sample{
{{t: 1, h: tsdbutil.GenerateTestHistogram(1)}},
{{t: 10, f: 1}},
},
},
},
},
{
title: "Populate from single block with index reader postings function selecting different series. Expect empty block.",
inputSeriesSamples: [][]seriesSamples{
{
{
lset: map[string]string{"a": "b"},
chunks: [][]sample{{{t: 0}, {t: 10}}, {{t: 11}, {t: 20}}},
},
},
},
irPostingsFunc: func(ctx context.Context, reader IndexReader) index.Postings {
p, err := reader.Postings(ctx, "a", "c")
if err != nil {
return index.EmptyPostings()
}
return reader.SortedPostings(p)
},
},
{
title: "Populate from single block with index reader postings function selecting one series. Expect partial block.",
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: 0}, {t: 10}}, {{t: 11}, {t: 20}}},
},
{
lset: map[string]string{"a": "d"},
chunks: [][]sample{{{t: 0}, {t: 10}}, {{t: 11}, {t: 20}}},
},
},
},
irPostingsFunc: func(ctx context.Context, reader IndexReader) index.Postings {
p, err := reader.Postings(ctx, "a", "c", "d")
if err != nil {
return index.EmptyPostings()
}
return reader.SortedPostings(p)
},
expSeriesSamples: []seriesSamples{
{
lset: map[string]string{"a": "c"},
chunks: [][]sample{{{t: 0}, {t: 10}}, {{t: 11}, {t: 20}}},
},
{
lset: map[string]string{"a": "d"},
chunks: [][]sample{{{t: 0}, {t: 10}}, {{t: 11}, {t: 20}}},
},
},
},
} {
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 := NewLeveledCompactor(context.Background(), nil, nil, []int64{0}, nil, nil)
require.NoError(t, err)
meta := &BlockMeta{
MinTime: tc.compactMinTime,
MaxTime: tc.compactMaxTime,
}
if meta.MaxTime == 0 {
meta.MaxTime = math.MaxInt64
}
iw := &mockIndexWriter{}
blockPopulator := DefaultBlockPopulator{}
irPostingsFunc := AllSortedPostings
if tc.irPostingsFunc != nil {
irPostingsFunc = tc.irPostingsFunc
}
err = blockPopulator.PopulateBlock(c.ctx, c.metrics, c.logger, c.chunkPool, c.mergeFunc, blocks, meta, iw, nopChunkWriter{}, irPostingsFunc)
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 vt := iter.Next(); vt != chunkenc.ValNone; vt = iter.Next() {
switch vt {
case chunkenc.ValFloat:
s.t, s.f = iter.At()
samples = append(samples, s)
case chunkenc.ValHistogram:
s.t, s.h = iter.AtHistogram(nil)
samples = append(samples, s)
case chunkenc.ValFloatHistogram:
s.t, s.fh = iter.AtFloatHistogram(nil)
samples = append(samples, s)
default:
require.Fail(t, "unexpected value type")
}
if firstTs == math.MaxInt64 {
firstTs = s.t
}
}
// 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)
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(strconv.Itoa(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()
})
}
}
func BenchmarkCompactionFromOOOHead(b *testing.B) {
dir := b.TempDir()
totalSeries := 100000
totalSamples := 100
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
opts.OutOfOrderTimeWindow.Store(int64(totalSamples))
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++ {
lbls := labels.FromStrings(strconv.Itoa(ln), fmt.Sprintf("%d%s%d", lv, postingsBenchSuffix, ln))
_, err = app.Append(0, lbls, int64(totalSamples), 0)
require.NoError(b, err)
for ts := 0; ts < totalSamples; ts++ {
_, err = app.Append(0, lbls, int64(ts), float64(ts))
require.NoError(b, err)
}
}
require.NoError(b, app.Commit())
}
b.ResetTimer()
b.ReportAllocs()
for i := 0; i < b.N; i++ {
oooHead, err := NewOOOCompactionHead(context.TODO(), h)
require.NoError(b, err)
createBlockFromOOOHead(b, filepath.Join(dir, fmt.Sprintf("%d-%d", i, labelNames)), oooHead)
}
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.Empty(t, 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.NotEmpty(t, db.Blocks(), "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 := t.TempDir()
err := fileutil.CopyDirs(tmpdir, tmpdirCopy)
require.NoError(t, err)
// 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.Len(t, db.Blocks(), 3, "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.Len(t, db.Blocks(), 3, "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.Less(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)
}
require.NoError(t, readOnlyDB.Close())
}
}
// 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) {
ctx := context.Background()
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(ctx))
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 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, wlog.CompressionNone, 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 *[]chunks.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(nil))
efh := h.ToFloat(nil)
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 *[]chunks.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), f: 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 []chunks.Sample
)
h := &histogram.Histogram{
Count: 15,
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)
require.NoError(t, err)
ids, err := compactor.Write(head.opts.ChunkDirRoot, head, mint, maxt, nil)
require.NoError(t, err)
require.Len(t, ids, 1)
// Open the block and query it and check the histograms.
block, err := OpenBlock(nil, path.Join(head.opts.ChunkDirRoot, ids[0].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][]chunks.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},
}
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, wlog.CompressionNone, false)
t.Cleanup(func() {
require.NoError(t, oldHead.Close())
})
sparseHead, _ := newTestHead(t, DefaultBlockDuration, wlog.CompressionNone, 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 oldULIDs []ulid.ULID
var sparseULIDs []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)
require.NoError(t, err)
sparseULIDs, err = compactor.Write(sparseHead.opts.ChunkDirRoot, sparseHead, mint, maxt, nil)
require.NoError(t, err)
require.Len(t, sparseULIDs, 1)
}()
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()
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()
_, 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()
_, 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)
require.NoError(t, err)
oldULIDs, err = compactor.Write(oldHead.opts.ChunkDirRoot, oldHead, mint, maxt, nil)
require.NoError(t, err)
require.Len(t, oldULIDs, 1)
}()
wg.Wait()
oldBlockDir := filepath.Join(oldHead.opts.ChunkDirRoot, oldULIDs[0].String())
sparseBlockDir := filepath.Join(sparseHead.opts.ChunkDirRoot, sparseULIDs[0].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 TestCompactEmptyResultBlockWithTombstone(t *testing.T) {
ctx := context.Background()
tmpdir := t.TempDir()
blockDir := createBlock(t, tmpdir, genSeries(1, 1, 0, 10))
block, err := OpenBlock(nil, blockDir, nil)
require.NoError(t, err)
// Write tombstone covering the whole block.
err = block.Delete(ctx, 0, 10, labels.MustNewMatcher(labels.MatchEqual, defaultLabelName, "0"))
require.NoError(t, err)
c, err := NewLeveledCompactor(ctx, nil, log.NewNopLogger(), []int64{0}, nil, nil)
require.NoError(t, err)
ulids, err := c.Compact(tmpdir, []string{blockDir}, []*Block{block})
require.NoError(t, err)
require.Nil(t, ulids)
require.NoError(t, block.Close())
}
func TestDelayedCompaction(t *testing.T) {
// The delay is chosen in such a way as to not slow down the tests, but also to make
// the effective compaction duration negligible compared to it, so that the duration comparisons make sense.
delay := 1000 * time.Millisecond
waitUntilCompactedAndCheck := func(db *DB) {
t.Helper()
start := time.Now()
for db.head.compactable() {
// This simulates what happens at the end of commits, for less busy DB, a compaction
// is triggered every minute. This is to speed up the test.
select {
case db.compactc <- struct{}{}:
default:
}
time.Sleep(time.Millisecond)
}
duration := time.Since(start)
// Only waited for one offset: offset<=delay<<<2*offset
require.Greater(t, duration, db.opts.CompactionDelay)
require.Less(t, duration, 2*db.opts.CompactionDelay)
}
compactAndCheck := func(db *DB) {
t.Helper()
start := time.Now()
db.Compact(context.Background())
for db.head.compactable() {
time.Sleep(time.Millisecond)
}
if runtime.GOOS == "windows" {
// TODO: enable on windows once ms resolution timers are better supported.
return
}
duration := time.Since(start)
require.Less(t, duration, delay)
}
cases := []struct {
name string
// The delays are chosen in such a way as to not slow down the tests, but also in a way to make the
// effective compaction duration negligible compared to them, so that the duration comparisons make sense.
compactionDelay time.Duration
}{
{
"delayed compaction not enabled",
0,
},
{
"delayed compaction enabled",
delay,
},
}
for _, c := range cases {
c := c
t.Run(c.name, func(t *testing.T) {
t.Parallel()
var options *Options
if c.compactionDelay > 0 {
options = &Options{CompactionDelay: c.compactionDelay}
}
db := openTestDB(t, options, []int64{10})
defer func() {
require.NoError(t, db.Close())
}()
label := labels.FromStrings("foo", "bar")
// The first compaction is expected to result in 1 block.
db.DisableCompactions()
app := db.Appender(context.Background())
_, err := app.Append(0, label, 0, 0)
require.NoError(t, err)
_, err = app.Append(0, label, 11, 0)
require.NoError(t, err)
_, err = app.Append(0, label, 21, 0)
require.NoError(t, err)
require.NoError(t, app.Commit())
if c.compactionDelay == 0 {
// When delay is not enabled, compaction should run on the first trigger.
compactAndCheck(db)
} else {
db.EnableCompactions()
waitUntilCompactedAndCheck(db)
// The db.compactc signals have been processed multiple times since a compaction is triggered every 1ms by waitUntilCompacted.
// This implies that the compaction delay doesn't block or wait on the initial trigger.
// 3 is an arbitrary value because it's difficult to determine the precise value.
require.GreaterOrEqual(t, prom_testutil.ToFloat64(db.metrics.compactionsTriggered)-prom_testutil.ToFloat64(db.metrics.compactionsSkipped), 3.0)
// The delay doesn't change the head blocks alignment.
require.Eventually(t, func() bool {
return db.head.MinTime() == db.compactor.(*LeveledCompactor).ranges[0]+1
}, 500*time.Millisecond, 10*time.Millisecond)
// One compaction was run and one block was produced.
require.Equal(t, 1.0, prom_testutil.ToFloat64(db.compactor.(*LeveledCompactor).metrics.Ran))
}
// The second compaction is expected to result in 2 blocks.
// This ensures that the logic for compaction delay doesn't only work for the first compaction, but also takes into account the future compactions.
// This also ensures that no delay happens between consecutive compactions.
db.DisableCompactions()
app = db.Appender(context.Background())
_, err = app.Append(0, label, 31, 0)
require.NoError(t, err)
_, err = app.Append(0, label, 41, 0)
require.NoError(t, err)
require.NoError(t, app.Commit())
if c.compactionDelay == 0 {
// Compaction should still run on the first trigger.
compactAndCheck(db)
} else {
db.EnableCompactions()
waitUntilCompactedAndCheck(db)
}
// Two other compactions were run.
require.Eventually(t, func() bool {
return prom_testutil.ToFloat64(db.compactor.(*LeveledCompactor).metrics.Ran) == 3.0
}, 500*time.Millisecond, 10*time.Millisecond)
if c.compactionDelay == 0 {
return
}
// This test covers a special case. If auto compaction is in a delay period and a manual compaction is triggered,
// auto compaction should stop waiting for the delay if the head is no longer compactable.
// Of course, if the head is still compactable after the manual compaction, auto compaction will continue waiting for the same delay.
getTimeWhenCompactionDelayStarted := func() time.Time {
t.Helper()
db.cmtx.Lock()
defer db.cmtx.Unlock()
return db.timeWhenCompactionDelayStarted
}
db.DisableCompactions()
app = db.Appender(context.Background())
_, err = app.Append(0, label, 51, 0)
require.NoError(t, err)
require.NoError(t, app.Commit())
require.True(t, db.head.compactable())
db.EnableCompactions()
// Trigger an auto compaction.
db.compactc <- struct{}{}
// That made auto compaction start waiting for the delay.
require.Eventually(t, func() bool {
return !getTimeWhenCompactionDelayStarted().IsZero()
}, 100*time.Millisecond, 10*time.Millisecond)
// Trigger a manual compaction.
require.NoError(t, db.CompactHead(NewRangeHead(db.Head(), 0, 50.0)))
require.Equal(t, 4.0, prom_testutil.ToFloat64(db.compactor.(*LeveledCompactor).metrics.Ran))
// Re-trigger an auto compaction.
db.compactc <- struct{}{}
// That made auto compaction stop waiting for the delay.
require.Eventually(t, func() bool {
return getTimeWhenCompactionDelayStarted().IsZero()
}, 100*time.Millisecond, 10*time.Millisecond)
})
}
}
// TestDelayedCompactionDoesNotBlockUnrelatedOps makes sure that when delayed compaction is enabled,
// operations that don't directly derive from the Head compaction are not delayed, here we consider disk blocks compaction.
func TestDelayedCompactionDoesNotBlockUnrelatedOps(t *testing.T) {
cases := []struct {
name string
whenCompactable bool
}{
{
"Head is compactable",
true,
},
{
"Head is not compactable",
false,
},
}
for _, c := range cases {
c := c
t.Run(c.name, func(t *testing.T) {
t.Parallel()
tmpdir := t.TempDir()
// Some blocks that need compation are present.
createBlock(t, tmpdir, genSeries(1, 1, 0, 100))
createBlock(t, tmpdir, genSeries(1, 1, 100, 200))
createBlock(t, tmpdir, genSeries(1, 1, 200, 300))
options := DefaultOptions()
// This will make the test timeout if compaction really waits for it.
options.CompactionDelay = time.Hour
db, err := open(tmpdir, log.NewNopLogger(), nil, options, []int64{10, 200}, nil)
require.NoError(t, err)
defer func() {
require.NoError(t, db.Close())
}()
db.DisableCompactions()
require.Len(t, db.Blocks(), 3)
if c.whenCompactable {
label := labels.FromStrings("foo", "bar")
app := db.Appender(context.Background())
_, err := app.Append(0, label, 301, 0)
require.NoError(t, err)
_, err = app.Append(0, label, 317, 0)
require.NoError(t, err)
require.NoError(t, app.Commit())
// The Head is compactable and will still be at the end.
require.True(t, db.head.compactable())
defer func() {
require.True(t, db.head.compactable())
}()
}
// The blocks were compacted.
db.Compact(context.Background())
require.Len(t, db.Blocks(), 2)
})
}
}