prometheus/tsdb/querier_test.go
Brian Brazil d782387f81
Stream symbols during compaction. (#6468)
Rather than buffer up symbols in RAM, do it one by one
during compaction. Then use the reader's symbol handling
for symbol lookups during the rest of the index write.

There is some slowdown in compaction, due to having to look through a file
rather than a hash lookup. This is noise to the overall cost of compacting
series with thousands of samples though.

benchmark                                                                                   old ns/op       new ns/op       delta
BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=101-4        539917175       675341565       +25.08%
BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=1001-4       2441815993      2477453524      +1.46%
BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=2001-4       3978543559      3922909687      -1.40%
BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=5001-4       8430219716      8586610007      +1.86%
BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=101-4      1786424591      1909552782      +6.89%
BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=1001-4     5328998202      6020839950      +12.98%
BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=2001-4     10085059958     11085278690     +9.92%
BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=5001-4     25497010155     27018079806     +5.97%
BenchmarkCompactionFromHead/labelnames=1,labelvalues=100000-4                               2427391406      2817217987      +16.06%
BenchmarkCompactionFromHead/labelnames=10,labelvalues=10000-4                               2592965497      2538805050      -2.09%
BenchmarkCompactionFromHead/labelnames=100,labelvalues=1000-4                               2437388343      2668012858      +9.46%
BenchmarkCompactionFromHead/labelnames=1000,labelvalues=100-4                               2317095324      2787423966      +20.30%
BenchmarkCompactionFromHead/labelnames=10000,labelvalues=10-4                               2600239857      2096973860      -19.35%

benchmark                                                                                   old allocs     new allocs     delta
BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=101-4        500851         470794         -6.00%
BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=1001-4       821527         791451         -3.66%
BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=2001-4       1141562        1111508        -2.63%
BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=5001-4       2141576        2111504        -1.40%
BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=101-4      871466         841424         -3.45%
BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=1001-4     1941428        1911415        -1.55%
BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=2001-4     3071573        3041510        -0.98%
BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=5001-4     6771648        6741509        -0.45%
BenchmarkCompactionFromHead/labelnames=1,labelvalues=100000-4                               731493         824888         +12.77%
BenchmarkCompactionFromHead/labelnames=10,labelvalues=10000-4                               793918         887311         +11.76%
BenchmarkCompactionFromHead/labelnames=100,labelvalues=1000-4                               811842         905204         +11.50%
BenchmarkCompactionFromHead/labelnames=1000,labelvalues=100-4                               832244         925081         +11.16%
BenchmarkCompactionFromHead/labelnames=10000,labelvalues=10-4                               921553         1019162        +10.59%

benchmark                                                                                   old bytes      new bytes      delta
BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=101-4        40532648       35698276       -11.93%
BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=1001-4       60340216       53409568       -11.49%
BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=2001-4       81087336       72065552       -11.13%
BenchmarkCompaction/type=normal,blocks=4,series=10000,samplesPerSeriesPerBlock=5001-4       142485576      120878544      -15.16%
BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=101-4      208661368      203831136      -2.31%
BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=1001-4     347345904      340484696      -1.98%
BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=2001-4     585185856      576244648      -1.53%
BenchmarkCompaction/type=vertical,blocks=4,series=10000,samplesPerSeriesPerBlock=5001-4     1357641792     1358966528     +0.10%
BenchmarkCompactionFromHead/labelnames=1,labelvalues=100000-4                               126486664      119666744      -5.39%
BenchmarkCompactionFromHead/labelnames=10,labelvalues=10000-4                               122323192      115117224      -5.89%
BenchmarkCompactionFromHead/labelnames=100,labelvalues=1000-4                               126404504      119469864      -5.49%
BenchmarkCompactionFromHead/labelnames=1000,labelvalues=100-4                               119047832      112230408      -5.73%
BenchmarkCompactionFromHead/labelnames=10000,labelvalues=10-4                               136576016      116634800      -14.60%

Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2019-12-17 19:49:54 +00:00

2224 lines
55 KiB
Go

// 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 (
"fmt"
"io/ioutil"
"math"
"math/rand"
"os"
"path/filepath"
"sort"
"strconv"
"testing"
"github.com/pkg/errors"
"github.com/prometheus/prometheus/pkg/labels"
"github.com/prometheus/prometheus/tsdb/chunkenc"
"github.com/prometheus/prometheus/tsdb/chunks"
"github.com/prometheus/prometheus/tsdb/index"
"github.com/prometheus/prometheus/tsdb/tombstones"
"github.com/prometheus/prometheus/tsdb/tsdbutil"
"github.com/prometheus/prometheus/util/testutil"
)
type mockSeriesSet struct {
next func() bool
series func() Series
err func() error
}
func (m *mockSeriesSet) Next() bool { return m.next() }
func (m *mockSeriesSet) At() Series { return m.series() }
func (m *mockSeriesSet) Err() error { return m.err() }
func newMockSeriesSet(list []Series) *mockSeriesSet {
i := -1
return &mockSeriesSet{
next: func() bool {
i++
return i < len(list)
},
series: func() Series {
return list[i]
},
err: func() error { return nil },
}
}
func TestMergedSeriesSet(t *testing.T) {
cases := []struct {
// The input sets in order (samples in series in b are strictly
// after those in a).
a, b SeriesSet
// The composition of a and b in the partition series set must yield
// results equivalent to the result series set.
exp SeriesSet
}{
{
a: newMockSeriesSet([]Series{
newSeries(map[string]string{
"a": "a",
}, []tsdbutil.Sample{
sample{t: 1, v: 1},
}),
}),
b: newMockSeriesSet([]Series{
newSeries(map[string]string{
"a": "a",
}, []tsdbutil.Sample{
sample{t: 2, v: 2},
}),
newSeries(map[string]string{
"b": "b",
}, []tsdbutil.Sample{
sample{t: 1, v: 1},
}),
}),
exp: newMockSeriesSet([]Series{
newSeries(map[string]string{
"a": "a",
}, []tsdbutil.Sample{
sample{t: 1, v: 1},
sample{t: 2, v: 2},
}),
newSeries(map[string]string{
"b": "b",
}, []tsdbutil.Sample{
sample{t: 1, v: 1},
}),
}),
},
{
a: newMockSeriesSet([]Series{
newSeries(map[string]string{
"handler": "prometheus",
"instance": "127.0.0.1:9090",
}, []tsdbutil.Sample{
sample{t: 1, v: 1},
}),
newSeries(map[string]string{
"handler": "prometheus",
"instance": "localhost:9090",
}, []tsdbutil.Sample{
sample{t: 1, v: 2},
}),
}),
b: newMockSeriesSet([]Series{
newSeries(map[string]string{
"handler": "prometheus",
"instance": "127.0.0.1:9090",
}, []tsdbutil.Sample{
sample{t: 2, v: 1},
}),
newSeries(map[string]string{
"handler": "query",
"instance": "localhost:9090",
}, []tsdbutil.Sample{
sample{t: 2, v: 2},
}),
}),
exp: newMockSeriesSet([]Series{
newSeries(map[string]string{
"handler": "prometheus",
"instance": "127.0.0.1:9090",
}, []tsdbutil.Sample{
sample{t: 1, v: 1},
sample{t: 2, v: 1},
}),
newSeries(map[string]string{
"handler": "prometheus",
"instance": "localhost:9090",
}, []tsdbutil.Sample{
sample{t: 1, v: 2},
}),
newSeries(map[string]string{
"handler": "query",
"instance": "localhost:9090",
}, []tsdbutil.Sample{
sample{t: 2, v: 2},
}),
}),
},
}
Outer:
for _, c := range cases {
res := NewMergedSeriesSet([]SeriesSet{c.a, c.b})
for {
eok, rok := c.exp.Next(), res.Next()
testutil.Equals(t, eok, rok)
if !eok {
continue Outer
}
sexp := c.exp.At()
sres := res.At()
testutil.Equals(t, sexp.Labels(), sres.Labels())
smplExp, errExp := expandSeriesIterator(sexp.Iterator())
smplRes, errRes := expandSeriesIterator(sres.Iterator())
testutil.Equals(t, errExp, errRes)
testutil.Equals(t, smplExp, smplRes)
}
}
}
func expandSeriesIterator(it SeriesIterator) (r []tsdbutil.Sample, err error) {
for it.Next() {
t, v := it.At()
r = append(r, sample{t: t, v: v})
}
return r, it.Err()
}
type seriesSamples struct {
lset map[string]string
chunks [][]sample
}
// Index: labels -> postings -> chunkMetas -> chunkRef
// ChunkReader: ref -> vals
func createIdxChkReaders(t *testing.T, tc []seriesSamples) (IndexReader, ChunkReader, int64, int64) {
sort.Slice(tc, func(i, j int) bool {
return labels.Compare(labels.FromMap(tc[i].lset), labels.FromMap(tc[i].lset)) < 0
})
postings := index.NewMemPostings()
chkReader := mockChunkReader(make(map[uint64]chunkenc.Chunk))
lblIdx := make(map[string]stringset)
mi := newMockIndex()
blockMint := int64(math.MaxInt64)
blockMaxt := int64(math.MinInt64)
var chunkRef uint64
for i, s := range tc {
i = i + 1 // 0 is not a valid posting.
metas := make([]chunks.Meta, 0, len(s.chunks))
for _, chk := range s.chunks {
if chk[0].t < blockMint {
blockMint = chk[0].t
}
if chk[len(chk)-1].t > blockMaxt {
blockMaxt = chk[len(chk)-1].t
}
metas = append(metas, chunks.Meta{
MinTime: chk[0].t,
MaxTime: chk[len(chk)-1].t,
Ref: chunkRef,
})
chunk := chunkenc.NewXORChunk()
app, _ := chunk.Appender()
for _, smpl := range chk {
app.Append(smpl.t, smpl.v)
}
chkReader[chunkRef] = chunk
chunkRef += 1
}
ls := labels.FromMap(s.lset)
testutil.Ok(t, mi.AddSeries(uint64(i), ls, metas...))
postings.Add(uint64(i), ls)
for _, l := range ls {
vs, present := lblIdx[l.Name]
if !present {
vs = stringset{}
lblIdx[l.Name] = vs
}
vs.set(l.Value)
}
}
for l, vs := range lblIdx {
testutil.Ok(t, mi.WriteLabelIndex([]string{l}, vs.slice()))
}
testutil.Ok(t, postings.Iter(func(l labels.Label, p index.Postings) error {
return mi.WritePostings(l.Name, l.Value, p)
}))
return mi, chkReader, blockMint, blockMaxt
}
func TestBlockQuerier(t *testing.T) {
newSeries := func(l map[string]string, s []tsdbutil.Sample) Series {
return &mockSeries{
labels: func() labels.Labels { return labels.FromMap(l) },
iterator: func() SeriesIterator { return newListSeriesIterator(s) },
}
}
type query struct {
mint, maxt int64
ms []*labels.Matcher
exp SeriesSet
}
cases := struct {
data []seriesSamples
queries []query
}{
data: []seriesSamples{
{
lset: map[string]string{
"a": "a",
},
chunks: [][]sample{
{
{1, 2}, {2, 3}, {3, 4},
},
{
{5, 2}, {6, 3}, {7, 4},
},
},
},
{
lset: map[string]string{
"a": "a",
"b": "b",
},
chunks: [][]sample{
{
{1, 1}, {2, 2}, {3, 3},
},
{
{5, 3}, {6, 6},
},
},
},
{
lset: map[string]string{
"b": "b",
},
chunks: [][]sample{
{
{1, 3}, {2, 2}, {3, 6},
},
{
{5, 1}, {6, 7}, {7, 2},
},
},
},
},
queries: []query{
{
mint: 0,
maxt: 0,
ms: []*labels.Matcher{},
exp: newMockSeriesSet([]Series{}),
},
{
mint: 0,
maxt: 0,
ms: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "a", "a")},
exp: newMockSeriesSet([]Series{}),
},
{
mint: 1,
maxt: 0,
ms: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "a", "a")},
exp: newMockSeriesSet([]Series{}),
},
{
mint: 2,
maxt: 6,
ms: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "a", "a")},
exp: newMockSeriesSet([]Series{
newSeries(map[string]string{
"a": "a",
},
[]tsdbutil.Sample{sample{2, 3}, sample{3, 4}, sample{5, 2}, sample{6, 3}},
),
newSeries(map[string]string{
"a": "a",
"b": "b",
},
[]tsdbutil.Sample{sample{2, 2}, sample{3, 3}, sample{5, 3}, sample{6, 6}},
),
}),
},
},
}
Outer:
for _, c := range cases.queries {
ir, cr, _, _ := createIdxChkReaders(t, cases.data)
querier := &blockQuerier{
index: ir,
chunks: cr,
tombstones: tombstones.NewMemTombstones(),
mint: c.mint,
maxt: c.maxt,
}
res, err := querier.Select(c.ms...)
testutil.Ok(t, err)
for {
eok, rok := c.exp.Next(), res.Next()
testutil.Equals(t, eok, rok)
if !eok {
continue Outer
}
sexp := c.exp.At()
sres := res.At()
testutil.Equals(t, sexp.Labels(), sres.Labels())
smplExp, errExp := expandSeriesIterator(sexp.Iterator())
smplRes, errRes := expandSeriesIterator(sres.Iterator())
testutil.Equals(t, errExp, errRes)
testutil.Equals(t, smplExp, smplRes)
}
}
}
func TestBlockQuerierDelete(t *testing.T) {
newSeries := func(l map[string]string, s []tsdbutil.Sample) Series {
return &mockSeries{
labels: func() labels.Labels { return labels.FromMap(l) },
iterator: func() SeriesIterator { return newListSeriesIterator(s) },
}
}
type query struct {
mint, maxt int64
ms []*labels.Matcher
exp SeriesSet
}
cases := struct {
data []seriesSamples
tombstones tombstones.Reader
queries []query
}{
data: []seriesSamples{
{
lset: map[string]string{
"a": "a",
},
chunks: [][]sample{
{
{1, 2}, {2, 3}, {3, 4},
},
{
{5, 2}, {6, 3}, {7, 4},
},
},
},
{
lset: map[string]string{
"a": "a",
"b": "b",
},
chunks: [][]sample{
{
{1, 1}, {2, 2}, {3, 3},
},
{
{4, 15}, {5, 3}, {6, 6},
},
},
},
{
lset: map[string]string{
"b": "b",
},
chunks: [][]sample{
{
{1, 3}, {2, 2}, {3, 6},
},
{
{5, 1}, {6, 7}, {7, 2},
},
},
},
},
tombstones: tombstones.NewTestMemTombstones([]tombstones.Intervals{
tombstones.Intervals{{Mint: 1, Maxt: 3}},
tombstones.Intervals{{Mint: 1, Maxt: 3}, {Mint: 6, Maxt: 10}},
tombstones.Intervals{{Mint: 6, Maxt: 10}},
}),
queries: []query{
{
mint: 2,
maxt: 7,
ms: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "a", "a")},
exp: newMockSeriesSet([]Series{
newSeries(map[string]string{
"a": "a",
},
[]tsdbutil.Sample{sample{5, 2}, sample{6, 3}, sample{7, 4}},
),
newSeries(map[string]string{
"a": "a",
"b": "b",
},
[]tsdbutil.Sample{sample{4, 15}, sample{5, 3}},
),
}),
},
{
mint: 2,
maxt: 7,
ms: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "b", "b")},
exp: newMockSeriesSet([]Series{
newSeries(map[string]string{
"a": "a",
"b": "b",
},
[]tsdbutil.Sample{sample{4, 15}, sample{5, 3}},
),
newSeries(map[string]string{
"b": "b",
},
[]tsdbutil.Sample{sample{2, 2}, sample{3, 6}, sample{5, 1}},
),
}),
},
{
mint: 1,
maxt: 4,
ms: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "a", "a")},
exp: newMockSeriesSet([]Series{
newSeries(map[string]string{
"a": "a",
"b": "b",
},
[]tsdbutil.Sample{sample{4, 15}},
),
}),
},
{
mint: 1,
maxt: 3,
ms: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "a", "a")},
exp: newMockSeriesSet([]Series{}),
},
},
}
fmt.Println("tombstones", cases.tombstones)
Outer:
for _, c := range cases.queries {
ir, cr, _, _ := createIdxChkReaders(t, cases.data)
querier := &blockQuerier{
index: ir,
chunks: cr,
tombstones: cases.tombstones,
mint: c.mint,
maxt: c.maxt,
}
res, err := querier.Select(c.ms...)
testutil.Ok(t, err)
for {
eok, rok := c.exp.Next(), res.Next()
testutil.Equals(t, eok, rok)
if !eok {
continue Outer
}
sexp := c.exp.At()
sres := res.At()
testutil.Equals(t, sexp.Labels(), sres.Labels())
smplExp, errExp := expandSeriesIterator(sexp.Iterator())
smplRes, errRes := expandSeriesIterator(sres.Iterator())
testutil.Equals(t, errExp, errRes)
testutil.Equals(t, smplExp, smplRes)
}
}
}
func TestBaseChunkSeries(t *testing.T) {
type refdSeries struct {
lset labels.Labels
chunks []chunks.Meta
ref uint64
}
cases := []struct {
series []refdSeries
// Postings should be in the sorted order of the series
postings []uint64
expIdxs []int
}{
{
series: []refdSeries{
{
lset: labels.New([]labels.Label{{Name: "a", Value: "a"}}...),
chunks: []chunks.Meta{
{Ref: 29}, {Ref: 45}, {Ref: 245}, {Ref: 123}, {Ref: 4232}, {Ref: 5344},
{Ref: 121},
},
ref: 12,
},
{
lset: labels.New([]labels.Label{{Name: "a", Value: "a"}, {Name: "b", Value: "b"}}...),
chunks: []chunks.Meta{
{Ref: 82}, {Ref: 23}, {Ref: 234}, {Ref: 65}, {Ref: 26},
},
ref: 10,
},
{
lset: labels.New([]labels.Label{{Name: "b", Value: "c"}}...),
chunks: []chunks.Meta{{Ref: 8282}},
ref: 1,
},
{
lset: labels.New([]labels.Label{{Name: "b", Value: "b"}}...),
chunks: []chunks.Meta{
{Ref: 829}, {Ref: 239}, {Ref: 2349}, {Ref: 659}, {Ref: 269},
},
ref: 108,
},
},
postings: []uint64{12, 13, 10, 108}, // 13 doesn't exist and should just be skipped over.
expIdxs: []int{0, 1, 3},
},
{
series: []refdSeries{
{
lset: labels.New([]labels.Label{{Name: "a", Value: "a"}, {Name: "b", Value: "b"}}...),
chunks: []chunks.Meta{
{Ref: 82}, {Ref: 23}, {Ref: 234}, {Ref: 65}, {Ref: 26},
},
ref: 10,
},
{
lset: labels.New([]labels.Label{{Name: "b", Value: "c"}}...),
chunks: []chunks.Meta{{Ref: 8282}},
ref: 3,
},
},
postings: []uint64{},
expIdxs: []int{},
},
}
for _, tc := range cases {
mi := newMockIndex()
for _, s := range tc.series {
testutil.Ok(t, mi.AddSeries(s.ref, s.lset, s.chunks...))
}
bcs := &baseChunkSeries{
p: index.NewListPostings(tc.postings),
index: mi,
tombstones: tombstones.NewMemTombstones(),
}
i := 0
for bcs.Next() {
lset, chks, _ := bcs.At()
idx := tc.expIdxs[i]
testutil.Equals(t, tc.series[idx].lset, lset)
testutil.Equals(t, tc.series[idx].chunks, chks)
i++
}
testutil.Equals(t, len(tc.expIdxs), i)
testutil.Ok(t, bcs.Err())
}
}
// TODO: Remove after simpleSeries is merged
type itSeries struct {
si SeriesIterator
}
func (s itSeries) Iterator() SeriesIterator { return s.si }
func (s itSeries) Labels() labels.Labels { return labels.Labels{} }
func TestSeriesIterator(t *testing.T) {
itcases := []struct {
a, b, c []tsdbutil.Sample
exp []tsdbutil.Sample
mint, maxt int64
}{
{
a: []tsdbutil.Sample{},
b: []tsdbutil.Sample{},
c: []tsdbutil.Sample{},
exp: []tsdbutil.Sample{},
mint: math.MinInt64,
maxt: math.MaxInt64,
},
{
a: []tsdbutil.Sample{
sample{1, 2},
sample{2, 3},
sample{3, 5},
sample{6, 1},
},
b: []tsdbutil.Sample{},
c: []tsdbutil.Sample{
sample{7, 89}, sample{9, 8},
},
exp: []tsdbutil.Sample{
sample{1, 2}, sample{2, 3}, sample{3, 5}, sample{6, 1}, sample{7, 89}, sample{9, 8},
},
mint: math.MinInt64,
maxt: math.MaxInt64,
},
{
a: []tsdbutil.Sample{},
b: []tsdbutil.Sample{
sample{1, 2}, sample{2, 3}, sample{3, 5}, sample{6, 1},
},
c: []tsdbutil.Sample{
sample{7, 89}, sample{9, 8},
},
exp: []tsdbutil.Sample{
sample{1, 2}, sample{2, 3}, sample{3, 5}, sample{6, 1}, sample{7, 89}, sample{9, 8},
},
mint: 2,
maxt: 8,
},
{
a: []tsdbutil.Sample{
sample{1, 2}, sample{2, 3}, sample{3, 5}, sample{6, 1},
},
b: []tsdbutil.Sample{
sample{7, 89}, sample{9, 8},
},
c: []tsdbutil.Sample{
sample{10, 22}, sample{203, 3493},
},
exp: []tsdbutil.Sample{
sample{1, 2}, sample{2, 3}, sample{3, 5}, sample{6, 1}, sample{7, 89}, sample{9, 8}, sample{10, 22}, sample{203, 3493},
},
mint: 6,
maxt: 10,
},
}
seekcases := []struct {
a, b, c []tsdbutil.Sample
seek int64
success bool
exp []tsdbutil.Sample
mint, maxt int64
}{
{
a: []tsdbutil.Sample{},
b: []tsdbutil.Sample{},
c: []tsdbutil.Sample{},
seek: 0,
success: false,
exp: nil,
},
{
a: []tsdbutil.Sample{
sample{2, 3},
},
b: []tsdbutil.Sample{},
c: []tsdbutil.Sample{
sample{7, 89}, sample{9, 8},
},
seek: 10,
success: false,
exp: nil,
mint: math.MinInt64,
maxt: math.MaxInt64,
},
{
a: []tsdbutil.Sample{},
b: []tsdbutil.Sample{
sample{1, 2}, sample{3, 5}, sample{6, 1},
},
c: []tsdbutil.Sample{
sample{7, 89}, sample{9, 8},
},
seek: 2,
success: true,
exp: []tsdbutil.Sample{
sample{3, 5}, sample{6, 1}, sample{7, 89}, sample{9, 8},
},
mint: 5,
maxt: 8,
},
{
a: []tsdbutil.Sample{
sample{6, 1},
},
b: []tsdbutil.Sample{
sample{9, 8},
},
c: []tsdbutil.Sample{
sample{10, 22}, sample{203, 3493},
},
seek: 10,
success: true,
exp: []tsdbutil.Sample{
sample{10, 22}, sample{203, 3493},
},
mint: 10,
maxt: 203,
},
{
a: []tsdbutil.Sample{
sample{6, 1},
},
b: []tsdbutil.Sample{
sample{9, 8},
},
c: []tsdbutil.Sample{
sample{10, 22}, sample{203, 3493},
},
seek: 203,
success: true,
exp: []tsdbutil.Sample{
sample{203, 3493},
},
mint: 7,
maxt: 203,
},
}
t.Run("Chunk", func(t *testing.T) {
for _, tc := range itcases {
chkMetas := []chunks.Meta{
tsdbutil.ChunkFromSamples(tc.a),
tsdbutil.ChunkFromSamples(tc.b),
tsdbutil.ChunkFromSamples(tc.c),
}
res := newChunkSeriesIterator(chkMetas, nil, tc.mint, tc.maxt)
smplValid := make([]tsdbutil.Sample, 0)
for _, s := range tc.exp {
if s.T() >= tc.mint && s.T() <= tc.maxt {
smplValid = append(smplValid, tsdbutil.Sample(s))
}
}
exp := newListSeriesIterator(smplValid)
smplExp, errExp := expandSeriesIterator(exp)
smplRes, errRes := expandSeriesIterator(res)
testutil.Equals(t, errExp, errRes)
testutil.Equals(t, smplExp, smplRes)
}
t.Run("Seek", func(t *testing.T) {
extra := []struct {
a, b, c []tsdbutil.Sample
seek int64
success bool
exp []tsdbutil.Sample
mint, maxt int64
}{
{
a: []tsdbutil.Sample{
sample{6, 1},
},
b: []tsdbutil.Sample{
sample{9, 8},
},
c: []tsdbutil.Sample{
sample{10, 22}, sample{203, 3493},
},
seek: 203,
success: false,
exp: nil,
mint: 2,
maxt: 202,
},
{
a: []tsdbutil.Sample{
sample{6, 1},
},
b: []tsdbutil.Sample{
sample{9, 8},
},
c: []tsdbutil.Sample{
sample{10, 22}, sample{203, 3493},
},
seek: 5,
success: true,
exp: []tsdbutil.Sample{sample{10, 22}},
mint: 10,
maxt: 202,
},
}
seekcases2 := append(seekcases, extra...)
for _, tc := range seekcases2 {
chkMetas := []chunks.Meta{
tsdbutil.ChunkFromSamples(tc.a),
tsdbutil.ChunkFromSamples(tc.b),
tsdbutil.ChunkFromSamples(tc.c),
}
res := newChunkSeriesIterator(chkMetas, nil, tc.mint, tc.maxt)
smplValid := make([]tsdbutil.Sample, 0)
for _, s := range tc.exp {
if s.T() >= tc.mint && s.T() <= tc.maxt {
smplValid = append(smplValid, tsdbutil.Sample(s))
}
}
exp := newListSeriesIterator(smplValid)
testutil.Equals(t, tc.success, res.Seek(tc.seek))
if tc.success {
// Init the list and then proceed to check.
remaining := exp.Next()
testutil.Assert(t, remaining == true, "")
for remaining {
sExp, eExp := exp.At()
sRes, eRes := res.At()
testutil.Equals(t, eExp, eRes)
testutil.Equals(t, sExp, sRes)
remaining = exp.Next()
testutil.Equals(t, remaining, res.Next())
}
}
}
})
})
t.Run("Chain", func(t *testing.T) {
// Extra cases for overlapping series.
itcasesExtra := []struct {
a, b, c []tsdbutil.Sample
exp []tsdbutil.Sample
mint, maxt int64
}{
{
a: []tsdbutil.Sample{
sample{1, 2}, sample{2, 3}, sample{3, 5}, sample{6, 1},
},
b: []tsdbutil.Sample{
sample{5, 49}, sample{7, 89}, sample{9, 8},
},
c: []tsdbutil.Sample{
sample{2, 33}, sample{4, 44}, sample{10, 3},
},
exp: []tsdbutil.Sample{
sample{1, 2}, sample{2, 33}, sample{3, 5}, sample{4, 44}, sample{5, 49}, sample{6, 1}, sample{7, 89}, sample{9, 8}, sample{10, 3},
},
mint: math.MinInt64,
maxt: math.MaxInt64,
},
{
a: []tsdbutil.Sample{
sample{1, 2}, sample{2, 3}, sample{9, 5}, sample{13, 1},
},
b: []tsdbutil.Sample{},
c: []tsdbutil.Sample{
sample{1, 23}, sample{2, 342}, sample{3, 25}, sample{6, 11},
},
exp: []tsdbutil.Sample{
sample{1, 23}, sample{2, 342}, sample{3, 25}, sample{6, 11}, sample{9, 5}, sample{13, 1},
},
mint: math.MinInt64,
maxt: math.MaxInt64,
},
}
for _, tc := range itcases {
a, b, c := itSeries{newListSeriesIterator(tc.a)},
itSeries{newListSeriesIterator(tc.b)},
itSeries{newListSeriesIterator(tc.c)}
res := newChainedSeriesIterator(a, b, c)
exp := newListSeriesIterator([]tsdbutil.Sample(tc.exp))
smplExp, errExp := expandSeriesIterator(exp)
smplRes, errRes := expandSeriesIterator(res)
testutil.Equals(t, errExp, errRes)
testutil.Equals(t, smplExp, smplRes)
}
for _, tc := range append(itcases, itcasesExtra...) {
a, b, c := itSeries{newListSeriesIterator(tc.a)},
itSeries{newListSeriesIterator(tc.b)},
itSeries{newListSeriesIterator(tc.c)}
res := newVerticalMergeSeriesIterator(a, b, c)
exp := newListSeriesIterator([]tsdbutil.Sample(tc.exp))
smplExp, errExp := expandSeriesIterator(exp)
smplRes, errRes := expandSeriesIterator(res)
testutil.Equals(t, errExp, errRes)
testutil.Equals(t, smplExp, smplRes)
}
t.Run("Seek", func(t *testing.T) {
for _, tc := range seekcases {
ress := []SeriesIterator{
newChainedSeriesIterator(
itSeries{newListSeriesIterator(tc.a)},
itSeries{newListSeriesIterator(tc.b)},
itSeries{newListSeriesIterator(tc.c)},
),
newVerticalMergeSeriesIterator(
itSeries{newListSeriesIterator(tc.a)},
itSeries{newListSeriesIterator(tc.b)},
itSeries{newListSeriesIterator(tc.c)},
),
}
for _, res := range ress {
exp := newListSeriesIterator(tc.exp)
testutil.Equals(t, tc.success, res.Seek(tc.seek))
if tc.success {
// Init the list and then proceed to check.
remaining := exp.Next()
testutil.Assert(t, remaining == true, "")
for remaining {
sExp, eExp := exp.At()
sRes, eRes := res.At()
testutil.Equals(t, eExp, eRes)
testutil.Equals(t, sExp, sRes)
remaining = exp.Next()
testutil.Equals(t, remaining, res.Next())
}
}
}
}
})
})
}
// Regression for: https://github.com/prometheus/prometheus/tsdb/pull/97
func TestChunkSeriesIterator_DoubleSeek(t *testing.T) {
chkMetas := []chunks.Meta{
tsdbutil.ChunkFromSamples([]tsdbutil.Sample{}),
tsdbutil.ChunkFromSamples([]tsdbutil.Sample{sample{1, 1}, sample{2, 2}, sample{3, 3}}),
tsdbutil.ChunkFromSamples([]tsdbutil.Sample{sample{4, 4}, sample{5, 5}}),
}
res := newChunkSeriesIterator(chkMetas, nil, 2, 8)
testutil.Assert(t, res.Seek(1) == true, "")
testutil.Assert(t, res.Seek(2) == true, "")
ts, v := res.At()
testutil.Equals(t, int64(2), ts)
testutil.Equals(t, float64(2), v)
}
// Regression when seeked chunks were still found via binary search and we always
// skipped to the end when seeking a value in the current chunk.
func TestChunkSeriesIterator_SeekInCurrentChunk(t *testing.T) {
metas := []chunks.Meta{
tsdbutil.ChunkFromSamples([]tsdbutil.Sample{}),
tsdbutil.ChunkFromSamples([]tsdbutil.Sample{sample{1, 2}, sample{3, 4}, sample{5, 6}, sample{7, 8}}),
tsdbutil.ChunkFromSamples([]tsdbutil.Sample{}),
}
it := newChunkSeriesIterator(metas, nil, 1, 7)
testutil.Assert(t, it.Next() == true, "")
ts, v := it.At()
testutil.Equals(t, int64(1), ts)
testutil.Equals(t, float64(2), v)
testutil.Assert(t, it.Seek(4) == true, "")
ts, v = it.At()
testutil.Equals(t, int64(5), ts)
testutil.Equals(t, float64(6), v)
}
// Regression when calling Next() with a time bounded to fit within two samples.
// Seek gets called and advances beyond the max time, which was just accepted as a valid sample.
func TestChunkSeriesIterator_NextWithMinTime(t *testing.T) {
metas := []chunks.Meta{
tsdbutil.ChunkFromSamples([]tsdbutil.Sample{sample{1, 6}, sample{5, 6}, sample{7, 8}}),
}
it := newChunkSeriesIterator(metas, nil, 2, 4)
testutil.Assert(t, it.Next() == false, "")
}
func TestPopulatedCSReturnsValidChunkSlice(t *testing.T) {
lbls := []labels.Labels{labels.New(labels.Label{Name: "a", Value: "b"})}
chunkMetas := [][]chunks.Meta{
{
{MinTime: 1, MaxTime: 2, Ref: 1},
{MinTime: 3, MaxTime: 4, Ref: 2},
{MinTime: 10, MaxTime: 12, Ref: 3},
},
}
cr := mockChunkReader(
map[uint64]chunkenc.Chunk{
1: chunkenc.NewXORChunk(),
2: chunkenc.NewXORChunk(),
3: chunkenc.NewXORChunk(),
},
)
m := &mockChunkSeriesSet{l: lbls, cm: chunkMetas, i: -1}
p := &populatedChunkSeries{
set: m,
chunks: cr,
mint: 0,
maxt: 0,
}
testutil.Assert(t, p.Next() == false, "")
p.mint = 6
p.maxt = 9
testutil.Assert(t, p.Next() == false, "")
// Test the case where 1 chunk could cause an unpopulated chunk to be returned.
chunkMetas = [][]chunks.Meta{
{
{MinTime: 1, MaxTime: 2, Ref: 1},
},
}
m = &mockChunkSeriesSet{l: lbls, cm: chunkMetas, i: -1}
p = &populatedChunkSeries{
set: m,
chunks: cr,
mint: 10,
maxt: 15,
}
testutil.Assert(t, p.Next() == false, "")
}
type mockChunkSeriesSet struct {
l []labels.Labels
cm [][]chunks.Meta
i int
}
func (m *mockChunkSeriesSet) Next() bool {
if len(m.l) != len(m.cm) {
return false
}
m.i++
return m.i < len(m.l)
}
func (m *mockChunkSeriesSet) At() (labels.Labels, []chunks.Meta, tombstones.Intervals) {
return m.l[m.i], m.cm[m.i], nil
}
func (m *mockChunkSeriesSet) Err() error {
return nil
}
// Test the cost of merging series sets for different number of merged sets and their size.
// The subset are all equivalent so this does not capture merging of partial or non-overlapping sets well.
func BenchmarkMergedSeriesSet(b *testing.B) {
var sel = func(sets []SeriesSet) SeriesSet {
return NewMergedSeriesSet(sets)
}
for _, k := range []int{
100,
1000,
10000,
20000,
} {
for _, j := range []int{1, 2, 4, 8, 16, 32} {
b.Run(fmt.Sprintf("series=%d,blocks=%d", k, j), func(b *testing.B) {
lbls, err := labels.ReadLabels(filepath.Join("testdata", "20kseries.json"), k)
testutil.Ok(b, err)
sort.Sort(labels.Slice(lbls))
in := make([][]Series, j)
for _, l := range lbls {
l2 := l
for j := range in {
in[j] = append(in[j], &mockSeries{labels: func() labels.Labels { return l2 }})
}
}
b.ResetTimer()
for i := 0; i < b.N; i++ {
var sets []SeriesSet
for _, s := range in {
sets = append(sets, newMockSeriesSet(s))
}
ms := sel(sets)
i := 0
for ms.Next() {
i++
}
testutil.Ok(b, ms.Err())
testutil.Equals(b, len(lbls), i)
}
})
}
}
}
type mockChunkReader map[uint64]chunkenc.Chunk
func (cr mockChunkReader) Chunk(id uint64) (chunkenc.Chunk, error) {
chk, ok := cr[id]
if ok {
return chk, nil
}
return nil, errors.New("Chunk with ref not found")
}
func (cr mockChunkReader) Close() error {
return nil
}
func TestDeletedIterator(t *testing.T) {
chk := chunkenc.NewXORChunk()
app, err := chk.Appender()
testutil.Ok(t, err)
// Insert random stuff from (0, 1000).
act := make([]sample, 1000)
for i := 0; i < 1000; i++ {
act[i].t = int64(i)
act[i].v = rand.Float64()
app.Append(act[i].t, act[i].v)
}
cases := []struct {
r tombstones.Intervals
}{
{r: tombstones.Intervals{{Mint: 1, Maxt: 20}}},
{r: tombstones.Intervals{{Mint: 1, Maxt: 10}, {Mint: 12, Maxt: 20}, {Mint: 21, Maxt: 23}, {Mint: 25, Maxt: 30}}},
{r: tombstones.Intervals{{Mint: 1, Maxt: 10}, {Mint: 12, Maxt: 20}, {Mint: 20, Maxt: 30}}},
{r: tombstones.Intervals{{Mint: 1, Maxt: 10}, {Mint: 12, Maxt: 23}, {Mint: 25, Maxt: 30}}},
{r: tombstones.Intervals{{Mint: 1, Maxt: 23}, {Mint: 12, Maxt: 20}, {Mint: 25, Maxt: 30}}},
{r: tombstones.Intervals{{Mint: 1, Maxt: 23}, {Mint: 12, Maxt: 20}, {Mint: 25, Maxt: 3000}}},
{r: tombstones.Intervals{{Mint: 0, Maxt: 2000}}},
{r: tombstones.Intervals{{Mint: 500, Maxt: 2000}}},
{r: tombstones.Intervals{{Mint: 0, Maxt: 200}}},
{r: tombstones.Intervals{{Mint: 1000, Maxt: 20000}}},
}
for _, c := range cases {
i := int64(-1)
it := &deletedIterator{it: chk.Iterator(nil), intervals: c.r[:]}
ranges := c.r[:]
for it.Next() {
i++
for _, tr := range ranges {
if tr.InBounds(i) {
i = tr.Maxt + 1
ranges = ranges[1:]
}
}
testutil.Assert(t, i < 1000, "")
ts, v := it.At()
testutil.Equals(t, act[i].t, ts)
testutil.Equals(t, act[i].v, v)
}
// There has been an extra call to Next().
i++
for _, tr := range ranges {
if tr.InBounds(i) {
i = tr.Maxt + 1
ranges = ranges[1:]
}
}
testutil.Assert(t, i >= 1000, "")
testutil.Ok(t, it.Err())
}
}
type series struct {
l labels.Labels
chunks []chunks.Meta
}
type mockIndex struct {
series map[uint64]series
labelIndex map[string][]string
postings map[labels.Label][]uint64
symbols map[string]struct{}
}
func newMockIndex() mockIndex {
ix := mockIndex{
series: make(map[uint64]series),
labelIndex: make(map[string][]string),
postings: make(map[labels.Label][]uint64),
symbols: make(map[string]struct{}),
}
return ix
}
func (m mockIndex) Symbols() index.StringIter {
l := []string{}
for s := range m.symbols {
l = append(l, s)
}
sort.Strings(l)
return index.NewStringListIter(l)
}
func (m *mockIndex) AddSeries(ref uint64, l labels.Labels, chunks ...chunks.Meta) error {
if _, ok := m.series[ref]; ok {
return errors.Errorf("series with reference %d already added", ref)
}
for _, lbl := range l {
m.symbols[lbl.Name] = struct{}{}
m.symbols[lbl.Value] = struct{}{}
}
s := series{l: l}
// Actual chunk data is not stored in the index.
for _, c := range chunks {
c.Chunk = nil
s.chunks = append(s.chunks, c)
}
m.series[ref] = s
return nil
}
func (m mockIndex) WriteLabelIndex(names []string, values []string) error {
// TODO support composite indexes
if len(names) != 1 {
return errors.New("composite indexes not supported yet")
}
sort.Strings(values)
m.labelIndex[names[0]] = values
return nil
}
func (m mockIndex) WritePostings(name, value string, it index.Postings) error {
l := labels.Label{Name: name, Value: value}
if _, ok := m.postings[l]; ok {
return errors.Errorf("postings for %s already added", l)
}
ep, err := index.ExpandPostings(it)
if err != nil {
return err
}
m.postings[l] = ep
return nil
}
func (m mockIndex) Close() error {
return nil
}
func (m mockIndex) LabelValues(names ...string) (index.StringTuples, error) {
// TODO support composite indexes
if len(names) != 1 {
return nil, errors.New("composite indexes not supported yet")
}
return index.NewStringTuples(m.labelIndex[names[0]], 1)
}
func (m mockIndex) Postings(name string, values ...string) (index.Postings, error) {
res := make([]index.Postings, 0, len(values))
for _, value := range values {
l := labels.Label{Name: name, Value: value}
res = append(res, index.NewListPostings(m.postings[l]))
}
return index.Merge(res...), nil
}
func (m mockIndex) SortedPostings(p index.Postings) index.Postings {
ep, err := index.ExpandPostings(p)
if err != nil {
return index.ErrPostings(errors.Wrap(err, "expand postings"))
}
sort.Slice(ep, func(i, j int) bool {
return labels.Compare(m.series[ep[i]].l, m.series[ep[j]].l) < 0
})
return index.NewListPostings(ep)
}
func (m mockIndex) Series(ref uint64, lset *labels.Labels, chks *[]chunks.Meta) error {
s, ok := m.series[ref]
if !ok {
return ErrNotFound
}
*lset = append((*lset)[:0], s.l...)
*chks = append((*chks)[:0], s.chunks...)
return nil
}
func (m mockIndex) LabelNames() ([]string, error) {
labelNames := make([]string, 0, len(m.labelIndex))
for name := range m.labelIndex {
labelNames = append(labelNames, name)
}
sort.Strings(labelNames)
return labelNames, nil
}
type mockSeries struct {
labels func() labels.Labels
iterator func() SeriesIterator
}
func newSeries(l map[string]string, s []tsdbutil.Sample) Series {
return &mockSeries{
labels: func() labels.Labels { return labels.FromMap(l) },
iterator: func() SeriesIterator { return newListSeriesIterator(s) },
}
}
func (m *mockSeries) Labels() labels.Labels { return m.labels() }
func (m *mockSeries) Iterator() SeriesIterator { return m.iterator() }
type listSeriesIterator struct {
list []tsdbutil.Sample
idx int
}
func newListSeriesIterator(list []tsdbutil.Sample) *listSeriesIterator {
return &listSeriesIterator{list: list, idx: -1}
}
func (it *listSeriesIterator) At() (int64, float64) {
s := it.list[it.idx]
return s.T(), s.V()
}
func (it *listSeriesIterator) Next() bool {
it.idx++
return it.idx < len(it.list)
}
func (it *listSeriesIterator) Seek(t int64) bool {
if it.idx == -1 {
it.idx = 0
}
// Do binary search between current position and end.
it.idx = sort.Search(len(it.list)-it.idx, func(i int) bool {
s := it.list[i+it.idx]
return s.T() >= t
})
return it.idx < len(it.list)
}
func (it *listSeriesIterator) Err() error {
return nil
}
func BenchmarkQueryIterator(b *testing.B) {
cases := []struct {
numBlocks int
numSeries int
numSamplesPerSeriesPerBlock int
overlapPercentages []int // >=0, <=100, this is w.r.t. the previous block.
}{
{
numBlocks: 20,
numSeries: 1000,
numSamplesPerSeriesPerBlock: 20000,
overlapPercentages: []int{0, 10, 30},
},
}
for _, c := range cases {
for _, overlapPercentage := range c.overlapPercentages {
benchMsg := fmt.Sprintf("nBlocks=%d,nSeries=%d,numSamplesPerSeriesPerBlock=%d,overlap=%d%%",
c.numBlocks, c.numSeries, c.numSamplesPerSeriesPerBlock, overlapPercentage)
b.Run(benchMsg, func(b *testing.B) {
dir, err := ioutil.TempDir("", "bench_query_iterator")
testutil.Ok(b, err)
defer func() {
testutil.Ok(b, os.RemoveAll(dir))
}()
var (
blocks []*Block
overlapDelta = int64(overlapPercentage * c.numSamplesPerSeriesPerBlock / 100)
prefilledLabels []map[string]string
generatedSeries []Series
)
for i := int64(0); i < int64(c.numBlocks); i++ {
offset := i * overlapDelta
mint := i*int64(c.numSamplesPerSeriesPerBlock) - offset
maxt := mint + int64(c.numSamplesPerSeriesPerBlock) - 1
if len(prefilledLabels) == 0 {
generatedSeries = genSeries(c.numSeries, 10, mint, maxt)
for _, s := range generatedSeries {
prefilledLabels = append(prefilledLabels, s.Labels().Map())
}
} else {
generatedSeries = populateSeries(prefilledLabels, mint, maxt)
}
block, err := OpenBlock(nil, createBlock(b, dir, generatedSeries), nil)
testutil.Ok(b, err)
blocks = append(blocks, block)
defer block.Close()
}
que := &querier{
blocks: make([]Querier, 0, len(blocks)),
}
for _, blk := range blocks {
q, err := NewBlockQuerier(blk, math.MinInt64, math.MaxInt64)
testutil.Ok(b, err)
que.blocks = append(que.blocks, q)
}
var sq Querier = que
if overlapPercentage > 0 {
sq = &verticalQuerier{
querier: *que,
}
}
defer sq.Close()
benchQuery(b, c.numSeries, sq, labels.Selector{labels.MustNewMatcher(labels.MatchRegexp, "__name__", ".*")})
})
}
}
}
func BenchmarkQuerySeek(b *testing.B) {
cases := []struct {
numBlocks int
numSeries int
numSamplesPerSeriesPerBlock int
overlapPercentages []int // >=0, <=100, this is w.r.t. the previous block.
}{
{
numBlocks: 20,
numSeries: 100,
numSamplesPerSeriesPerBlock: 2000,
overlapPercentages: []int{0, 10, 30, 50},
},
}
for _, c := range cases {
for _, overlapPercentage := range c.overlapPercentages {
benchMsg := fmt.Sprintf("nBlocks=%d,nSeries=%d,numSamplesPerSeriesPerBlock=%d,overlap=%d%%",
c.numBlocks, c.numSeries, c.numSamplesPerSeriesPerBlock, overlapPercentage)
b.Run(benchMsg, func(b *testing.B) {
dir, err := ioutil.TempDir("", "bench_query_iterator")
testutil.Ok(b, err)
defer func() {
testutil.Ok(b, os.RemoveAll(dir))
}()
var (
blocks []*Block
overlapDelta = int64(overlapPercentage * c.numSamplesPerSeriesPerBlock / 100)
prefilledLabels []map[string]string
generatedSeries []Series
)
for i := int64(0); i < int64(c.numBlocks); i++ {
offset := i * overlapDelta
mint := i*int64(c.numSamplesPerSeriesPerBlock) - offset
maxt := mint + int64(c.numSamplesPerSeriesPerBlock) - 1
if len(prefilledLabels) == 0 {
generatedSeries = genSeries(c.numSeries, 10, mint, maxt)
for _, s := range generatedSeries {
prefilledLabels = append(prefilledLabels, s.Labels().Map())
}
} else {
generatedSeries = populateSeries(prefilledLabels, mint, maxt)
}
block, err := OpenBlock(nil, createBlock(b, dir, generatedSeries), nil)
testutil.Ok(b, err)
blocks = append(blocks, block)
defer block.Close()
}
que := &querier{
blocks: make([]Querier, 0, len(blocks)),
}
for _, blk := range blocks {
q, err := NewBlockQuerier(blk, math.MinInt64, math.MaxInt64)
testutil.Ok(b, err)
que.blocks = append(que.blocks, q)
}
var sq Querier = que
if overlapPercentage > 0 {
sq = &verticalQuerier{
querier: *que,
}
}
defer sq.Close()
mint := blocks[0].meta.MinTime
maxt := blocks[len(blocks)-1].meta.MaxTime
b.ResetTimer()
b.ReportAllocs()
ss, err := sq.Select(labels.MustNewMatcher(labels.MatchRegexp, "__name__", ".*"))
for ss.Next() {
it := ss.At().Iterator()
for t := mint; t <= maxt; t++ {
it.Seek(t)
}
testutil.Ok(b, it.Err())
}
testutil.Ok(b, ss.Err())
testutil.Ok(b, err)
})
}
}
}
// Refer to https://github.com/prometheus/prometheus/issues/2651.
func BenchmarkSetMatcher(b *testing.B) {
cases := []struct {
numBlocks int
numSeries int
numSamplesPerSeriesPerBlock int
cardinality int
pattern string
}{
// The first three cases are to find out whether the set
// matcher is always faster than regex matcher.
{
numBlocks: 1,
numSeries: 1,
numSamplesPerSeriesPerBlock: 10,
cardinality: 100,
pattern: "^(?:1|2|3|4|5|6|7|8|9|10)$",
},
{
numBlocks: 1,
numSeries: 15,
numSamplesPerSeriesPerBlock: 10,
cardinality: 100,
pattern: "^(?:1|2|3|4|5|6|7|8|9|10)$",
},
{
numBlocks: 1,
numSeries: 15,
numSamplesPerSeriesPerBlock: 10,
cardinality: 100,
pattern: "^(?:1|2|3)$",
},
// Big data sizes benchmarks.
{
numBlocks: 20,
numSeries: 1000,
numSamplesPerSeriesPerBlock: 10,
cardinality: 100,
pattern: "^(?:1|2|3)$",
},
{
numBlocks: 20,
numSeries: 1000,
numSamplesPerSeriesPerBlock: 10,
cardinality: 100,
pattern: "^(?:1|2|3|4|5|6|7|8|9|10)$",
},
// Increase cardinality.
{
numBlocks: 1,
numSeries: 100000,
numSamplesPerSeriesPerBlock: 10,
cardinality: 100000,
pattern: "^(?:1|2|3|4|5|6|7|8|9|10)$",
},
{
numBlocks: 1,
numSeries: 500000,
numSamplesPerSeriesPerBlock: 10,
cardinality: 500000,
pattern: "^(?:1|2|3|4|5|6|7|8|9|10)$",
},
{
numBlocks: 10,
numSeries: 500000,
numSamplesPerSeriesPerBlock: 10,
cardinality: 500000,
pattern: "^(?:1|2|3|4|5|6|7|8|9|10)$",
},
{
numBlocks: 1,
numSeries: 1000000,
numSamplesPerSeriesPerBlock: 10,
cardinality: 1000000,
pattern: "^(?:1|2|3|4|5|6|7|8|9|10)$",
},
}
for _, c := range cases {
dir, err := ioutil.TempDir("", "bench_postings_for_matchers")
testutil.Ok(b, err)
defer func() {
testutil.Ok(b, os.RemoveAll(dir))
}()
var (
blocks []*Block
prefilledLabels []map[string]string
generatedSeries []Series
)
for i := int64(0); i < int64(c.numBlocks); i++ {
mint := i * int64(c.numSamplesPerSeriesPerBlock)
maxt := mint + int64(c.numSamplesPerSeriesPerBlock) - 1
if len(prefilledLabels) == 0 {
generatedSeries = genSeries(c.numSeries, 10, mint, maxt)
for _, s := range generatedSeries {
prefilledLabels = append(prefilledLabels, s.Labels().Map())
}
} else {
generatedSeries = populateSeries(prefilledLabels, mint, maxt)
}
block, err := OpenBlock(nil, createBlock(b, dir, generatedSeries), nil)
testutil.Ok(b, err)
blocks = append(blocks, block)
defer block.Close()
}
que := &querier{
blocks: make([]Querier, 0, len(blocks)),
}
for _, blk := range blocks {
q, err := NewBlockQuerier(blk, math.MinInt64, math.MaxInt64)
testutil.Ok(b, err)
que.blocks = append(que.blocks, q)
}
defer que.Close()
benchMsg := fmt.Sprintf("nSeries=%d,nBlocks=%d,cardinality=%d,pattern=\"%s\"", c.numSeries, c.numBlocks, c.cardinality, c.pattern)
b.Run(benchMsg, func(b *testing.B) {
b.ResetTimer()
b.ReportAllocs()
for n := 0; n < b.N; n++ {
_, err := que.Select(labels.MustNewMatcher(labels.MatchRegexp, "test", c.pattern))
testutil.Ok(b, err)
}
})
}
}
// Refer to https://github.com/prometheus/prometheus/issues/2651.
func TestFindSetMatches(t *testing.T) {
cases := []struct {
pattern string
exp []string
}{
// Simple sets.
{
pattern: "^(?:foo|bar|baz)$",
exp: []string{
"foo",
"bar",
"baz",
},
},
// Simple sets containing escaped characters.
{
pattern: "^(?:fo\\.o|bar\\?|\\^baz)$",
exp: []string{
"fo.o",
"bar?",
"^baz",
},
},
// Simple sets containing special characters without escaping.
{
pattern: "^(?:fo.o|bar?|^baz)$",
exp: nil,
},
// Missing wrapper.
{
pattern: "foo|bar|baz",
exp: nil,
},
}
for _, c := range cases {
matches := findSetMatches(c.pattern)
if len(c.exp) == 0 {
if len(matches) != 0 {
t.Errorf("Evaluating %s, unexpected result %v", c.pattern, matches)
}
} else {
if len(matches) != len(c.exp) {
t.Errorf("Evaluating %s, length of result not equal to exp", c.pattern)
} else {
for i := 0; i < len(c.exp); i++ {
if c.exp[i] != matches[i] {
t.Errorf("Evaluating %s, unexpected result %s", c.pattern, matches[i])
}
}
}
}
}
}
func TestPostingsForMatchers(t *testing.T) {
h, err := NewHead(nil, nil, nil, 1000)
testutil.Ok(t, err)
defer func() {
testutil.Ok(t, h.Close())
}()
app := h.Appender()
app.Add(labels.FromStrings("n", "1"), 0, 0)
app.Add(labels.FromStrings("n", "1", "i", "a"), 0, 0)
app.Add(labels.FromStrings("n", "1", "i", "b"), 0, 0)
app.Add(labels.FromStrings("n", "2"), 0, 0)
app.Add(labels.FromStrings("n", "2.5"), 0, 0)
testutil.Ok(t, app.Commit())
cases := []struct {
matchers []*labels.Matcher
exp []labels.Labels
}{
// Simple equals.
{
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "n", "1")},
exp: []labels.Labels{
labels.FromStrings("n", "1"),
labels.FromStrings("n", "1", "i", "a"),
labels.FromStrings("n", "1", "i", "b"),
},
},
{
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "n", "1"), labels.MustNewMatcher(labels.MatchEqual, "i", "a")},
exp: []labels.Labels{
labels.FromStrings("n", "1", "i", "a"),
},
},
{
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "n", "1"), labels.MustNewMatcher(labels.MatchEqual, "i", "missing")},
exp: []labels.Labels{},
},
{
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "missing", "")},
exp: []labels.Labels{
labels.FromStrings("n", "1"),
labels.FromStrings("n", "1", "i", "a"),
labels.FromStrings("n", "1", "i", "b"),
labels.FromStrings("n", "2"),
labels.FromStrings("n", "2.5"),
},
},
// Not equals.
{
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchNotEqual, "n", "1")},
exp: []labels.Labels{
labels.FromStrings("n", "2"),
labels.FromStrings("n", "2.5"),
},
},
{
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchNotEqual, "i", "")},
exp: []labels.Labels{
labels.FromStrings("n", "1", "i", "a"),
labels.FromStrings("n", "1", "i", "b"),
},
},
{
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchNotEqual, "missing", "")},
exp: []labels.Labels{},
},
{
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "n", "1"), labels.MustNewMatcher(labels.MatchNotEqual, "i", "a")},
exp: []labels.Labels{
labels.FromStrings("n", "1"),
labels.FromStrings("n", "1", "i", "b"),
},
},
{
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "n", "1"), labels.MustNewMatcher(labels.MatchNotEqual, "i", "")},
exp: []labels.Labels{
labels.FromStrings("n", "1", "i", "a"),
labels.FromStrings("n", "1", "i", "b"),
},
},
// Regex.
{
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchRegexp, "n", "^1$")},
exp: []labels.Labels{
labels.FromStrings("n", "1"),
labels.FromStrings("n", "1", "i", "a"),
labels.FromStrings("n", "1", "i", "b"),
},
},
{
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "n", "1"), labels.MustNewMatcher(labels.MatchRegexp, "i", "^a$")},
exp: []labels.Labels{
labels.FromStrings("n", "1", "i", "a"),
},
},
{
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "n", "1"), labels.MustNewMatcher(labels.MatchRegexp, "i", "^a?$")},
exp: []labels.Labels{
labels.FromStrings("n", "1"),
labels.FromStrings("n", "1", "i", "a"),
},
},
{
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchRegexp, "i", "^$")},
exp: []labels.Labels{
labels.FromStrings("n", "1"),
labels.FromStrings("n", "2"),
labels.FromStrings("n", "2.5"),
},
},
{
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "n", "1"), labels.MustNewMatcher(labels.MatchRegexp, "i", "^$")},
exp: []labels.Labels{
labels.FromStrings("n", "1"),
},
},
{
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "n", "1"), labels.MustNewMatcher(labels.MatchRegexp, "i", "^.*$")},
exp: []labels.Labels{
labels.FromStrings("n", "1"),
labels.FromStrings("n", "1", "i", "a"),
labels.FromStrings("n", "1", "i", "b"),
},
},
{
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "n", "1"), labels.MustNewMatcher(labels.MatchRegexp, "i", "^.+$")},
exp: []labels.Labels{
labels.FromStrings("n", "1", "i", "a"),
labels.FromStrings("n", "1", "i", "b"),
},
},
// Not regex.
{
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchNotRegexp, "n", "^1$")},
exp: []labels.Labels{
labels.FromStrings("n", "2"),
labels.FromStrings("n", "2.5"),
},
},
{
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "n", "1"), labels.MustNewMatcher(labels.MatchNotRegexp, "i", "^a$")},
exp: []labels.Labels{
labels.FromStrings("n", "1"),
labels.FromStrings("n", "1", "i", "b"),
},
},
{
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "n", "1"), labels.MustNewMatcher(labels.MatchNotRegexp, "i", "^a?$")},
exp: []labels.Labels{
labels.FromStrings("n", "1", "i", "b"),
},
},
{
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "n", "1"), labels.MustNewMatcher(labels.MatchNotRegexp, "i", "^$")},
exp: []labels.Labels{
labels.FromStrings("n", "1", "i", "a"),
labels.FromStrings("n", "1", "i", "b"),
},
},
{
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "n", "1"), labels.MustNewMatcher(labels.MatchNotRegexp, "i", "^.*$")},
exp: []labels.Labels{},
},
{
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "n", "1"), labels.MustNewMatcher(labels.MatchNotRegexp, "i", "^.+$")},
exp: []labels.Labels{
labels.FromStrings("n", "1"),
},
},
// Combinations.
{
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "n", "1"), labels.MustNewMatcher(labels.MatchNotEqual, "i", ""), labels.MustNewMatcher(labels.MatchEqual, "i", "a")},
exp: []labels.Labels{
labels.FromStrings("n", "1", "i", "a"),
},
},
{
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "n", "1"), labels.MustNewMatcher(labels.MatchNotEqual, "i", "b"), labels.MustNewMatcher(labels.MatchRegexp, "i", "^(b|a).*$")},
exp: []labels.Labels{
labels.FromStrings("n", "1", "i", "a"),
},
},
// Set optimization for Regex.
// Refer to https://github.com/prometheus/prometheus/issues/2651.
{
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchRegexp, "n", "^(?:1|2)$")},
exp: []labels.Labels{
labels.FromStrings("n", "1"),
labels.FromStrings("n", "1", "i", "a"),
labels.FromStrings("n", "1", "i", "b"),
labels.FromStrings("n", "2"),
},
},
{
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchRegexp, "i", "^(?:a|b)$")},
exp: []labels.Labels{
labels.FromStrings("n", "1", "i", "a"),
labels.FromStrings("n", "1", "i", "b"),
},
},
{
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchRegexp, "n", "^(?:x1|2)$")},
exp: []labels.Labels{
labels.FromStrings("n", "2"),
},
},
{
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchRegexp, "n", "^(?:2|2\\.5)$")},
exp: []labels.Labels{
labels.FromStrings("n", "2"),
labels.FromStrings("n", "2.5"),
},
},
// Empty value.
{
matchers: []*labels.Matcher{labels.MustNewMatcher(labels.MatchRegexp, "i", "^(?:c||d)$")},
exp: []labels.Labels{
labels.FromStrings("n", "1"),
labels.FromStrings("n", "2"),
labels.FromStrings("n", "2.5"),
},
},
}
ir, err := h.Index()
testutil.Ok(t, err)
for _, c := range cases {
exp := map[string]struct{}{}
for _, l := range c.exp {
exp[l.String()] = struct{}{}
}
p, err := PostingsForMatchers(ir, c.matchers...)
testutil.Ok(t, err)
for p.Next() {
lbls := labels.Labels{}
testutil.Ok(t, ir.Series(p.At(), &lbls, &[]chunks.Meta{}))
if _, ok := exp[lbls.String()]; !ok {
t.Errorf("Evaluating %v, unexpected result %s", c.matchers, lbls.String())
} else {
delete(exp, lbls.String())
}
}
testutil.Ok(t, p.Err())
if len(exp) != 0 {
t.Errorf("Evaluating %v, missing results %+v", c.matchers, exp)
}
}
}
// TestClose ensures that calling Close more than once doesn't block and doesn't panic.
func TestClose(t *testing.T) {
dir, err := ioutil.TempDir("", "test_storage")
if err != nil {
t.Fatalf("Opening test dir failed: %s", err)
}
defer func() {
testutil.Ok(t, os.RemoveAll(dir))
}()
createBlock(t, dir, genSeries(1, 1, 0, 10))
createBlock(t, dir, genSeries(1, 1, 10, 20))
db, err := Open(dir, nil, nil, DefaultOptions)
if err != nil {
t.Fatalf("Opening test storage failed: %s", err)
}
defer func() {
testutil.Ok(t, db.Close())
}()
q, err := db.Querier(0, 20)
testutil.Ok(t, err)
testutil.Ok(t, q.Close())
testutil.NotOk(t, q.Close())
}
func BenchmarkQueries(b *testing.B) {
cases := map[string]labels.Selector{
"Eq Matcher: Expansion - 1": {
labels.MustNewMatcher(labels.MatchEqual, "la", "va"),
},
"Eq Matcher: Expansion - 2": {
labels.MustNewMatcher(labels.MatchEqual, "la", "va"),
labels.MustNewMatcher(labels.MatchEqual, "lb", "vb"),
},
"Eq Matcher: Expansion - 3": {
labels.MustNewMatcher(labels.MatchEqual, "la", "va"),
labels.MustNewMatcher(labels.MatchEqual, "lb", "vb"),
labels.MustNewMatcher(labels.MatchEqual, "lc", "vc"),
},
"Regex Matcher: Expansion - 1": {
labels.MustNewMatcher(labels.MatchRegexp, "la", ".*va"),
},
"Regex Matcher: Expansion - 2": {
labels.MustNewMatcher(labels.MatchRegexp, "la", ".*va"),
labels.MustNewMatcher(labels.MatchRegexp, "lb", ".*vb"),
},
"Regex Matcher: Expansion - 3": {
labels.MustNewMatcher(labels.MatchRegexp, "la", ".*va"),
labels.MustNewMatcher(labels.MatchRegexp, "lb", ".*vb"),
labels.MustNewMatcher(labels.MatchRegexp, "lc", ".*vc"),
},
}
queryTypes := make(map[string]Querier)
defer func() {
for _, q := range queryTypes {
// Can't run a check for error here as some of these will fail as
// queryTypes is using the same slice for the different block queriers
// and would have been closed in the previous iterration.
q.Close()
}
}()
for title, selectors := range cases {
for _, nSeries := range []int{10} {
for _, nSamples := range []int64{1000, 10000, 100000} {
dir, err := ioutil.TempDir("", "test_persisted_query")
testutil.Ok(b, err)
defer func() {
testutil.Ok(b, os.RemoveAll(dir))
}()
series := genSeries(nSeries, 5, 1, int64(nSamples))
// Add some common labels to make the matchers select these series.
{
var commonLbls labels.Labels
for _, selector := range selectors {
switch selector.Type {
case labels.MatchEqual:
commonLbls = append(commonLbls, labels.Label{Name: selector.Name, Value: selector.Value})
case labels.MatchRegexp:
commonLbls = append(commonLbls, labels.Label{Name: selector.Name, Value: selector.Value})
}
}
for i := range commonLbls {
s := series[i].(*mockSeries)
allLabels := append(commonLbls, s.Labels()...)
s = &mockSeries{
labels: func() labels.Labels { return allLabels },
iterator: s.iterator,
}
series[i] = s
}
}
qs := []Querier{}
for x := 0; x <= 10; x++ {
block, err := OpenBlock(nil, createBlock(b, dir, series), nil)
testutil.Ok(b, err)
q, err := NewBlockQuerier(block, 1, int64(nSamples))
testutil.Ok(b, err)
qs = append(qs, q)
}
queryTypes["_1-Block"] = &querier{blocks: qs[:1]}
queryTypes["_3-Blocks"] = &querier{blocks: qs[0:3]}
queryTypes["_10-Blocks"] = &querier{blocks: qs}
head := createHead(b, series)
qHead, err := NewBlockQuerier(head, 1, int64(nSamples))
testutil.Ok(b, err)
queryTypes["_Head"] = qHead
for qtype, querier := range queryTypes {
b.Run(title+qtype+"_nSeries:"+strconv.Itoa(nSeries)+"_nSamples:"+strconv.Itoa(int(nSamples)), func(b *testing.B) {
expExpansions, err := strconv.Atoi(string(title[len(title)-1]))
testutil.Ok(b, err)
benchQuery(b, expExpansions, querier, selectors)
})
}
}
}
}
}
func benchQuery(b *testing.B, expExpansions int, q Querier, selectors labels.Selector) {
b.ResetTimer()
b.ReportAllocs()
for i := 0; i < b.N; i++ {
ss, err := q.Select(selectors...)
testutil.Ok(b, err)
var actualExpansions int
for ss.Next() {
s := ss.At()
s.Labels()
it := s.Iterator()
for it.Next() {
}
actualExpansions++
}
testutil.Equals(b, expExpansions, actualExpansions)
testutil.Ok(b, ss.Err())
}
}