prometheus/tsdb/head_test.go
Brian Brazil 38d32e0686 Don't sort postings if we only have one block.
Sorting the heads postings can be quite slow.
We only need sorted series when merging with another
querier, so only sort then.
This will make big queries that only touch the head faster,
though queries that touch both the head and a block will still
be the same speed. This probably won't help much with graphing
unless the range is under an hour, however it should make most
recording rules faster.

Add gaurantee that remote read streaming produces sorted series.

PromQL benchmarks for histograms show only 2-3% improvement, but
they're only over 1k series.

benchmark                                                old ns/op      new ns/op      delta
BenchmarkQuerierSelect/Head/1of1000000-4                 1375486282     507657736      -63.09%
BenchmarkQuerierSelect/Head/10of1000000-4                1387859004     507769850      -63.41%
BenchmarkQuerierSelect/Head/100of1000000-4               1387087935     506029110      -63.52%
BenchmarkQuerierSelect/Head/1000of1000000-4              1386869064     504521986      -63.62%
BenchmarkQuerierSelect/Head/10000of1000000-4             1386213685     505210422      -63.55%
BenchmarkQuerierSelect/Head/100000of1000000-4            1392754988     529842406      -61.96%
BenchmarkQuerierSelect/Head/1000000of1000000-4           1569414722     725059506      -53.80%
BenchmarkQuerierSelect/SortedHead/1of1000000-4           1381019902     1370495863     -0.76%
BenchmarkQuerierSelect/SortedHead/10of1000000-4          1375696209     1366789468     -0.65%
BenchmarkQuerierSelect/SortedHead/100of1000000-4         1386009422     1364519297     -1.55%
BenchmarkQuerierSelect/SortedHead/1000of1000000-4        1377700532     1364486191     -0.96%
BenchmarkQuerierSelect/SortedHead/10000of1000000-4       1383539536     1369545314     -1.01%
BenchmarkQuerierSelect/SortedHead/100000of1000000-4      1410089163     1394731339     -1.09%
BenchmarkQuerierSelect/SortedHead/1000000of1000000-4     1634744148     1581554956     -3.25%
BenchmarkQuerierSelect/Block/1of1000000-4                881741242      879839470      -0.22%
BenchmarkQuerierSelect/Block/10of1000000-4               880381562      882846038      +0.28%
BenchmarkQuerierSelect/Block/100of1000000-4              887519357      881016916      -0.73%
BenchmarkQuerierSelect/Block/1000of1000000-4             902194205      883433524      -2.08%
BenchmarkQuerierSelect/Block/10000of1000000-4            892321964      885130170      -0.81%
BenchmarkQuerierSelect/Block/100000of1000000-4           938604466      933527150      -0.54%
BenchmarkQuerierSelect/Block/1000000of1000000-4          1313510845     1295881124     -1.34%

benchmark                                                old allocs     new allocs     delta
BenchmarkQuerierSelect/Head/1of1000000-4                 4000056        4000018        -0.00%
BenchmarkQuerierSelect/Head/10of1000000-4                4000074        4000036        -0.00%
BenchmarkQuerierSelect/Head/100of1000000-4               4000254        4000216        -0.00%
BenchmarkQuerierSelect/Head/1000of1000000-4              4002054        4002016        -0.00%
BenchmarkQuerierSelect/Head/10000of1000000-4             4020054        4020016        -0.00%
BenchmarkQuerierSelect/Head/100000of1000000-4            4200054        4200016        -0.00%
BenchmarkQuerierSelect/Head/1000000of1000000-4           6000054        6000016        -0.00%
BenchmarkQuerierSelect/SortedHead/1of1000000-4           4000071        4000071        +0.00%
BenchmarkQuerierSelect/SortedHead/10of1000000-4          4000089        4000089        +0.00%
BenchmarkQuerierSelect/SortedHead/100of1000000-4         4000269        4000269        +0.00%
BenchmarkQuerierSelect/SortedHead/1000of1000000-4        4002069        4002069        +0.00%
BenchmarkQuerierSelect/SortedHead/10000of1000000-4       4020069        4020069        +0.00%
BenchmarkQuerierSelect/SortedHead/100000of1000000-4      4200069        4200069        +0.00%
BenchmarkQuerierSelect/SortedHead/1000000of1000000-4     6000069        6000069        +0.00%
BenchmarkQuerierSelect/Block/1of1000000-4                6000023        6000022        -0.00%
BenchmarkQuerierSelect/Block/10of1000000-4               6000059        6000058        -0.00%
BenchmarkQuerierSelect/Block/100of1000000-4              6000419        6000418        -0.00%
BenchmarkQuerierSelect/Block/1000of1000000-4             6004019        6004018        -0.00%
BenchmarkQuerierSelect/Block/10000of1000000-4            6040019        6040018        -0.00%
BenchmarkQuerierSelect/Block/100000of1000000-4           6400019        6400018        -0.00%
BenchmarkQuerierSelect/Block/1000000of1000000-4          10000020       10000019       -0.00%

benchmark                                                old bytes     new bytes     delta
BenchmarkQuerierSelect/Head/1of1000000-4                 229192200     176001176     -23.21%
BenchmarkQuerierSelect/Head/10of1000000-4                229193352     176002328     -23.21%
BenchmarkQuerierSelect/Head/100of1000000-4               229204872     176013848     -23.21%
BenchmarkQuerierSelect/Head/1000of1000000-4              229320072     176129048     -23.20%
BenchmarkQuerierSelect/Head/10000of1000000-4             230472072     177281048     -23.08%
BenchmarkQuerierSelect/Head/100000of1000000-4            241992072     188801048     -21.98%
BenchmarkQuerierSelect/Head/1000000of1000000-4           357192072     304001048     -14.89%
BenchmarkQuerierSelect/SortedHead/1of1000000-4           229193928     229193928     +0.00%
BenchmarkQuerierSelect/SortedHead/10of1000000-4          229195080     229195080     +0.00%
BenchmarkQuerierSelect/SortedHead/100of1000000-4         229206600     229206600     +0.00%
BenchmarkQuerierSelect/SortedHead/1000of1000000-4        229321800     229321800     +0.00%
BenchmarkQuerierSelect/SortedHead/10000of1000000-4       230473800     230473800     +0.00%
BenchmarkQuerierSelect/SortedHead/100000of1000000-4      241993800     241993800     +0.00%
BenchmarkQuerierSelect/SortedHead/1000000of1000000-4     357193800     357193800     +0.00%
BenchmarkQuerierSelect/Block/1of1000000-4                227201516     227201500     -0.00%
BenchmarkQuerierSelect/Block/10of1000000-4               227202924     227202908     -0.00%
BenchmarkQuerierSelect/Block/100of1000000-4              227217036     227217020     -0.00%
BenchmarkQuerierSelect/Block/1000of1000000-4             227358156     227358140     -0.00%
BenchmarkQuerierSelect/Block/10000of1000000-4            228769356     228769340     -0.00%
BenchmarkQuerierSelect/Block/100000of1000000-4           242881356     242881340     -0.00%
BenchmarkQuerierSelect/Block/1000000of1000000-4          384001616     384001600     -0.00%

Signed-off-by: Brian Brazil <brian.brazil@robustperception.io>
2020-01-28 09:14:56 +00:00

1294 lines
36 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"
"path/filepath"
"sort"
"strconv"
"testing"
"github.com/pkg/errors"
prom_testutil "github.com/prometheus/client_golang/prometheus/testutil"
"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/record"
"github.com/prometheus/prometheus/tsdb/tombstones"
"github.com/prometheus/prometheus/tsdb/tsdbutil"
"github.com/prometheus/prometheus/tsdb/wal"
"github.com/prometheus/prometheus/util/testutil"
)
func BenchmarkCreateSeries(b *testing.B) {
series := genSeries(b.N, 10, 0, 0)
h, err := NewHead(nil, nil, nil, 10000)
testutil.Ok(b, err)
defer h.Close()
b.ReportAllocs()
b.ResetTimer()
for _, s := range series {
h.getOrCreate(s.Labels().Hash(), s.Labels())
}
}
func populateTestWAL(t testing.TB, w *wal.WAL, recs []interface{}) {
var enc record.Encoder
for _, r := range recs {
switch v := r.(type) {
case []record.RefSeries:
testutil.Ok(t, w.Log(enc.Series(v, nil)))
case []record.RefSample:
testutil.Ok(t, w.Log(enc.Samples(v, nil)))
case []tombstones.Stone:
testutil.Ok(t, w.Log(enc.Tombstones(v, nil)))
}
}
}
func readTestWAL(t testing.TB, dir string) (recs []interface{}) {
sr, err := wal.NewSegmentsReader(dir)
testutil.Ok(t, err)
defer sr.Close()
var dec record.Decoder
r := wal.NewReader(sr)
for r.Next() {
rec := r.Record()
switch dec.Type(rec) {
case record.Series:
series, err := dec.Series(rec, nil)
testutil.Ok(t, err)
recs = append(recs, series)
case record.Samples:
samples, err := dec.Samples(rec, nil)
testutil.Ok(t, err)
recs = append(recs, samples)
case record.Tombstones:
tstones, err := dec.Tombstones(rec, nil)
testutil.Ok(t, err)
recs = append(recs, tstones)
default:
t.Fatalf("unknown record type")
}
}
testutil.Ok(t, r.Err())
return recs
}
func BenchmarkLoadWAL(b *testing.B) {
cases := []struct {
// Total series is (batches*seriesPerBatch).
batches int
seriesPerBatch int
samplesPerSeries int
}{
{ // Less series and more samples. 2 hour WAL with 1 second scrape interval.
batches: 10,
seriesPerBatch: 100,
samplesPerSeries: 7200,
},
{ // More series and less samples.
batches: 10,
seriesPerBatch: 10000,
samplesPerSeries: 50,
},
{ // In between.
batches: 10,
seriesPerBatch: 1000,
samplesPerSeries: 480,
},
}
labelsPerSeries := 5
for _, c := range cases {
b.Run(fmt.Sprintf("batches=%d,seriesPerBatch=%d,samplesPerSeries=%d", c.batches, c.seriesPerBatch, c.samplesPerSeries),
func(b *testing.B) {
dir, err := ioutil.TempDir("", "test_load_wal")
testutil.Ok(b, err)
defer func() {
testutil.Ok(b, os.RemoveAll(dir))
}()
w, err := wal.New(nil, nil, dir, false)
testutil.Ok(b, err)
// Write series.
refSeries := make([]record.RefSeries, 0, c.seriesPerBatch)
for k := 0; k < c.batches; k++ {
refSeries = refSeries[:0]
for i := k * c.seriesPerBatch; i < (k+1)*c.seriesPerBatch; i++ {
lbls := make(map[string]string, labelsPerSeries)
lbls[defaultLabelName] = strconv.Itoa(i)
for j := 1; len(lbls) < labelsPerSeries; j++ {
lbls[defaultLabelName+strconv.Itoa(j)] = defaultLabelValue + strconv.Itoa(j)
}
refSeries = append(refSeries, record.RefSeries{Ref: uint64(i) * 100, Labels: labels.FromMap(lbls)})
}
populateTestWAL(b, w, []interface{}{refSeries})
}
// Write samples.
refSamples := make([]record.RefSample, 0, c.seriesPerBatch)
for i := 0; i < c.samplesPerSeries; i++ {
for j := 0; j < c.batches; j++ {
refSamples = refSamples[:0]
for k := j * c.seriesPerBatch; k < (j+1)*c.seriesPerBatch; k++ {
refSamples = append(refSamples, record.RefSample{
Ref: uint64(k) * 100,
T: int64(i) * 10,
V: float64(i) * 100,
})
}
populateTestWAL(b, w, []interface{}{refSamples})
}
}
b.ResetTimer()
// Load the WAL.
for i := 0; i < b.N; i++ {
h, err := NewHead(nil, nil, w, 1000)
testutil.Ok(b, err)
h.Init(0)
}
})
}
}
func TestHead_ReadWAL(t *testing.T) {
for _, compress := range []bool{false, true} {
t.Run(fmt.Sprintf("compress=%t", compress), func(t *testing.T) {
entries := []interface{}{
[]record.RefSeries{
{Ref: 10, Labels: labels.FromStrings("a", "1")},
{Ref: 11, Labels: labels.FromStrings("a", "2")},
{Ref: 100, Labels: labels.FromStrings("a", "3")},
},
[]record.RefSample{
{Ref: 0, T: 99, V: 1},
{Ref: 10, T: 100, V: 2},
{Ref: 100, T: 100, V: 3},
},
[]record.RefSeries{
{Ref: 50, Labels: labels.FromStrings("a", "4")},
// This series has two refs pointing to it.
{Ref: 101, Labels: labels.FromStrings("a", "3")},
},
[]record.RefSample{
{Ref: 10, T: 101, V: 5},
{Ref: 50, T: 101, V: 6},
{Ref: 101, T: 101, V: 7},
},
[]tombstones.Stone{
{Ref: 0, Intervals: []tombstones.Interval{{Mint: 99, Maxt: 101}}},
},
}
dir, err := ioutil.TempDir("", "test_read_wal")
testutil.Ok(t, err)
defer func() {
testutil.Ok(t, os.RemoveAll(dir))
}()
w, err := wal.New(nil, nil, dir, compress)
testutil.Ok(t, err)
defer w.Close()
populateTestWAL(t, w, entries)
head, err := NewHead(nil, nil, w, 1000)
testutil.Ok(t, err)
testutil.Ok(t, head.Init(math.MinInt64))
testutil.Equals(t, uint64(101), head.lastSeriesID)
s10 := head.series.getByID(10)
s11 := head.series.getByID(11)
s50 := head.series.getByID(50)
s100 := head.series.getByID(100)
testutil.Equals(t, labels.FromStrings("a", "1"), s10.lset)
testutil.Equals(t, (*memSeries)(nil), s11) // Series without samples should be garbage collected at head.Init().
testutil.Equals(t, labels.FromStrings("a", "4"), s50.lset)
testutil.Equals(t, labels.FromStrings("a", "3"), s100.lset)
expandChunk := func(c chunkenc.Iterator) (x []sample) {
for c.Next() {
t, v := c.At()
x = append(x, sample{t: t, v: v})
}
testutil.Ok(t, c.Err())
return x
}
testutil.Equals(t, []sample{{100, 2}, {101, 5}}, expandChunk(s10.iterator(0, nil)))
testutil.Equals(t, []sample{{101, 6}}, expandChunk(s50.iterator(0, nil)))
testutil.Equals(t, []sample{{100, 3}, {101, 7}}, expandChunk(s100.iterator(0, nil)))
})
}
}
func TestHead_WALMultiRef(t *testing.T) {
dir, err := ioutil.TempDir("", "test_wal_multi_ref")
testutil.Ok(t, err)
defer func() {
testutil.Ok(t, os.RemoveAll(dir))
}()
w, err := wal.New(nil, nil, dir, false)
testutil.Ok(t, err)
head, err := NewHead(nil, nil, w, 1000)
testutil.Ok(t, err)
testutil.Ok(t, head.Init(0))
app := head.Appender()
ref1, err := app.Add(labels.FromStrings("foo", "bar"), 100, 1)
testutil.Ok(t, err)
testutil.Ok(t, app.Commit())
testutil.Ok(t, head.Truncate(200))
app = head.Appender()
ref2, err := app.Add(labels.FromStrings("foo", "bar"), 300, 2)
testutil.Ok(t, err)
testutil.Ok(t, app.Commit())
if ref1 == ref2 {
t.Fatal("Refs are the same")
}
testutil.Ok(t, head.Close())
w, err = wal.New(nil, nil, dir, false)
testutil.Ok(t, err)
head, err = NewHead(nil, nil, w, 1000)
testutil.Ok(t, err)
testutil.Ok(t, head.Init(0))
defer head.Close()
q, err := NewBlockQuerier(head, 0, 300)
testutil.Ok(t, err)
series := query(t, q, labels.MustNewMatcher(labels.MatchEqual, "foo", "bar"))
testutil.Equals(t, map[string][]tsdbutil.Sample{`{foo="bar"}`: {sample{100, 1}, sample{300, 2}}}, series)
}
func TestHead_Truncate(t *testing.T) {
h, err := NewHead(nil, nil, nil, 1000)
testutil.Ok(t, err)
defer h.Close()
h.initTime(0)
s1, _ := h.getOrCreate(1, labels.FromStrings("a", "1", "b", "1"))
s2, _ := h.getOrCreate(2, labels.FromStrings("a", "2", "b", "1"))
s3, _ := h.getOrCreate(3, labels.FromStrings("a", "1", "b", "2"))
s4, _ := h.getOrCreate(4, labels.FromStrings("a", "2", "b", "2", "c", "1"))
s1.chunks = []*memChunk{
{minTime: 0, maxTime: 999},
{minTime: 1000, maxTime: 1999},
{minTime: 2000, maxTime: 2999},
}
s2.chunks = []*memChunk{
{minTime: 1000, maxTime: 1999},
{minTime: 2000, maxTime: 2999},
{minTime: 3000, maxTime: 3999},
}
s3.chunks = []*memChunk{
{minTime: 0, maxTime: 999},
{minTime: 1000, maxTime: 1999},
}
s4.chunks = []*memChunk{}
// Truncation need not be aligned.
testutil.Ok(t, h.Truncate(1))
testutil.Ok(t, h.Truncate(2000))
testutil.Equals(t, []*memChunk{
{minTime: 2000, maxTime: 2999},
}, h.series.getByID(s1.ref).chunks)
testutil.Equals(t, []*memChunk{
{minTime: 2000, maxTime: 2999},
{minTime: 3000, maxTime: 3999},
}, h.series.getByID(s2.ref).chunks)
testutil.Assert(t, h.series.getByID(s3.ref) == nil, "")
testutil.Assert(t, h.series.getByID(s4.ref) == nil, "")
postingsA1, _ := index.ExpandPostings(h.postings.Get("a", "1"))
postingsA2, _ := index.ExpandPostings(h.postings.Get("a", "2"))
postingsB1, _ := index.ExpandPostings(h.postings.Get("b", "1"))
postingsB2, _ := index.ExpandPostings(h.postings.Get("b", "2"))
postingsC1, _ := index.ExpandPostings(h.postings.Get("c", "1"))
postingsAll, _ := index.ExpandPostings(h.postings.Get("", ""))
testutil.Equals(t, []uint64{s1.ref}, postingsA1)
testutil.Equals(t, []uint64{s2.ref}, postingsA2)
testutil.Equals(t, []uint64{s1.ref, s2.ref}, postingsB1)
testutil.Equals(t, []uint64{s1.ref, s2.ref}, postingsAll)
testutil.Assert(t, postingsB2 == nil, "")
testutil.Assert(t, postingsC1 == nil, "")
testutil.Equals(t, map[string]struct{}{
"": {}, // from 'all' postings list
"a": {},
"b": {},
"1": {},
"2": {},
}, h.symbols)
testutil.Equals(t, map[string]stringset{
"a": {"1": struct{}{}, "2": struct{}{}},
"b": {"1": struct{}{}},
"": {"": struct{}{}},
}, h.values)
}
// Validate various behaviors brought on by firstChunkID accounting for
// garbage collected chunks.
func TestMemSeries_truncateChunks(t *testing.T) {
s := newMemSeries(labels.FromStrings("a", "b"), 1, 2000)
for i := 0; i < 4000; i += 5 {
ok, _ := s.append(int64(i), float64(i))
testutil.Assert(t, ok == true, "sample append failed")
}
// Check that truncate removes half of the chunks and afterwards
// that the ID of the last chunk still gives us the same chunk afterwards.
countBefore := len(s.chunks)
lastID := s.chunkID(countBefore - 1)
lastChunk := s.chunk(lastID)
testutil.Assert(t, s.chunk(0) != nil, "")
testutil.Assert(t, lastChunk != nil, "")
s.truncateChunksBefore(2000)
testutil.Equals(t, int64(2000), s.chunks[0].minTime)
testutil.Assert(t, s.chunk(0) == nil, "first chunks not gone")
testutil.Equals(t, countBefore/2, len(s.chunks))
testutil.Equals(t, lastChunk, s.chunk(lastID))
// Validate that the series' sample buffer is applied correctly to the last chunk
// after truncation.
it1 := s.iterator(s.chunkID(len(s.chunks)-1), nil)
_, ok := it1.(*memSafeIterator)
testutil.Assert(t, ok == true, "")
it2 := s.iterator(s.chunkID(len(s.chunks)-2), nil)
_, ok = it2.(*memSafeIterator)
testutil.Assert(t, ok == false, "non-last chunk incorrectly wrapped with sample buffer")
}
func TestHeadDeleteSeriesWithoutSamples(t *testing.T) {
for _, compress := range []bool{false, true} {
t.Run(fmt.Sprintf("compress=%t", compress), func(t *testing.T) {
entries := []interface{}{
[]record.RefSeries{
{Ref: 10, Labels: labels.FromStrings("a", "1")},
},
[]record.RefSample{},
[]record.RefSeries{
{Ref: 50, Labels: labels.FromStrings("a", "2")},
},
[]record.RefSample{
{Ref: 50, T: 80, V: 1},
{Ref: 50, T: 90, V: 1},
},
}
dir, err := ioutil.TempDir("", "test_delete_series")
testutil.Ok(t, err)
defer func() {
testutil.Ok(t, os.RemoveAll(dir))
}()
w, err := wal.New(nil, nil, dir, compress)
testutil.Ok(t, err)
defer w.Close()
populateTestWAL(t, w, entries)
head, err := NewHead(nil, nil, w, 1000)
testutil.Ok(t, err)
testutil.Ok(t, head.Init(math.MinInt64))
testutil.Ok(t, head.Delete(0, 100, labels.MustNewMatcher(labels.MatchEqual, "a", "1")))
})
}
}
func TestHeadDeleteSimple(t *testing.T) {
buildSmpls := func(s []int64) []sample {
ss := make([]sample, 0, len(s))
for _, t := range s {
ss = append(ss, sample{t: t, v: float64(t)})
}
return ss
}
smplsAll := buildSmpls([]int64{0, 1, 2, 3, 4, 5, 6, 7, 8, 9})
lblDefault := labels.Label{Name: "a", Value: "b"}
cases := []struct {
dranges tombstones.Intervals
addSamples []sample // Samples to add after delete.
smplsExp []sample
}{
{
dranges: tombstones.Intervals{{Mint: 0, Maxt: 3}},
smplsExp: buildSmpls([]int64{4, 5, 6, 7, 8, 9}),
},
{
dranges: tombstones.Intervals{{Mint: 1, Maxt: 3}},
smplsExp: buildSmpls([]int64{0, 4, 5, 6, 7, 8, 9}),
},
{
dranges: tombstones.Intervals{{Mint: 1, Maxt: 3}, {Mint: 4, Maxt: 7}},
smplsExp: buildSmpls([]int64{0, 8, 9}),
},
{
dranges: tombstones.Intervals{{Mint: 1, Maxt: 3}, {Mint: 4, Maxt: 700}},
smplsExp: buildSmpls([]int64{0}),
},
{ // This case is to ensure that labels and symbols are deleted.
dranges: tombstones.Intervals{{Mint: 0, Maxt: 9}},
smplsExp: buildSmpls([]int64{}),
},
{
dranges: tombstones.Intervals{{Mint: 1, Maxt: 3}},
addSamples: buildSmpls([]int64{11, 13, 15}),
smplsExp: buildSmpls([]int64{0, 4, 5, 6, 7, 8, 9, 11, 13, 15}),
},
{
// After delete, the appended samples in the deleted range should be visible
// as the tombstones are clamped to head min/max time.
dranges: tombstones.Intervals{{Mint: 7, Maxt: 20}},
addSamples: buildSmpls([]int64{11, 13, 15}),
smplsExp: buildSmpls([]int64{0, 1, 2, 3, 4, 5, 6, 11, 13, 15}),
},
}
for _, compress := range []bool{false, true} {
t.Run(fmt.Sprintf("compress=%t", compress), func(t *testing.T) {
Outer:
for _, c := range cases {
dir, err := ioutil.TempDir("", "test_wal_reload")
testutil.Ok(t, err)
defer func() {
testutil.Ok(t, os.RemoveAll(dir))
}()
w, err := wal.New(nil, nil, path.Join(dir, "wal"), compress)
testutil.Ok(t, err)
defer w.Close()
head, err := NewHead(nil, nil, w, 1000)
testutil.Ok(t, err)
defer head.Close()
app := head.Appender()
for _, smpl := range smplsAll {
_, err = app.Add(labels.Labels{lblDefault}, smpl.t, smpl.v)
testutil.Ok(t, err)
}
testutil.Ok(t, app.Commit())
// Delete the ranges.
for _, r := range c.dranges {
testutil.Ok(t, head.Delete(r.Mint, r.Maxt, labels.MustNewMatcher(labels.MatchEqual, lblDefault.Name, lblDefault.Value)))
}
// Add more samples.
app = head.Appender()
for _, smpl := range c.addSamples {
_, err = app.Add(labels.Labels{lblDefault}, smpl.t, smpl.v)
testutil.Ok(t, err)
}
testutil.Ok(t, app.Commit())
// Compare the samples for both heads - before and after the reload.
reloadedW, err := wal.New(nil, nil, w.Dir(), compress) // Use a new wal to ensure deleted samples are gone even after a reload.
testutil.Ok(t, err)
defer reloadedW.Close()
reloadedHead, err := NewHead(nil, nil, reloadedW, 1000)
testutil.Ok(t, err)
defer reloadedHead.Close()
testutil.Ok(t, reloadedHead.Init(0))
// Compare the query results for both heads - before and after the reload.
expSeriesSet := newMockSeriesSet([]Series{
newSeries(map[string]string{lblDefault.Name: lblDefault.Value}, func() []tsdbutil.Sample {
ss := make([]tsdbutil.Sample, 0, len(c.smplsExp))
for _, s := range c.smplsExp {
ss = append(ss, s)
}
return ss
}(),
),
})
for _, h := range []*Head{head, reloadedHead} {
q, err := NewBlockQuerier(h, h.MinTime(), h.MaxTime())
testutil.Ok(t, err)
actSeriesSet, err := q.Select(labels.MustNewMatcher(labels.MatchEqual, lblDefault.Name, lblDefault.Value))
testutil.Ok(t, err)
for {
eok, rok := expSeriesSet.Next(), actSeriesSet.Next()
testutil.Equals(t, eok, rok)
if !eok {
testutil.Ok(t, h.Close())
continue Outer
}
expSeries := expSeriesSet.At()
actSeries := actSeriesSet.At()
testutil.Equals(t, expSeries.Labels(), actSeries.Labels())
smplExp, errExp := expandSeriesIterator(expSeries.Iterator())
smplRes, errRes := expandSeriesIterator(actSeries.Iterator())
testutil.Equals(t, errExp, errRes)
testutil.Equals(t, smplExp, smplRes)
}
}
}
})
}
}
func TestDeleteUntilCurMax(t *testing.T) {
numSamples := int64(10)
hb, err := NewHead(nil, nil, nil, 1000000)
testutil.Ok(t, err)
defer hb.Close()
app := hb.Appender()
smpls := make([]float64, numSamples)
for i := int64(0); i < numSamples; i++ {
smpls[i] = rand.Float64()
_, err := app.Add(labels.Labels{{Name: "a", Value: "b"}}, i, smpls[i])
testutil.Ok(t, err)
}
testutil.Ok(t, app.Commit())
testutil.Ok(t, hb.Delete(0, 10000, labels.MustNewMatcher(labels.MatchEqual, "a", "b")))
// Test the series returns no samples. The series is cleared only after compaction.
q, err := NewBlockQuerier(hb, 0, 100000)
testutil.Ok(t, err)
res, err := q.Select(labels.MustNewMatcher(labels.MatchEqual, "a", "b"))
testutil.Ok(t, err)
testutil.Assert(t, res.Next(), "series is not present")
s := res.At()
it := s.Iterator()
testutil.Assert(t, !it.Next(), "expected no samples")
// Add again and test for presence.
app = hb.Appender()
_, err = app.Add(labels.Labels{{Name: "a", Value: "b"}}, 11, 1)
testutil.Ok(t, err)
testutil.Ok(t, app.Commit())
q, err = NewBlockQuerier(hb, 0, 100000)
testutil.Ok(t, err)
res, err = q.Select(labels.MustNewMatcher(labels.MatchEqual, "a", "b"))
testutil.Ok(t, err)
testutil.Assert(t, res.Next(), "series don't exist")
exps := res.At()
it = exps.Iterator()
resSamples, err := expandSeriesIterator(it)
testutil.Ok(t, err)
testutil.Equals(t, []tsdbutil.Sample{sample{11, 1}}, resSamples)
}
func TestDeletedSamplesAndSeriesStillInWALAfterCheckpoint(t *testing.T) {
dir, err := ioutil.TempDir("", "test_delete_wal")
testutil.Ok(t, err)
defer func() {
testutil.Ok(t, os.RemoveAll(dir))
}()
wlog, err := wal.NewSize(nil, nil, dir, 32768, false)
testutil.Ok(t, err)
// Enough samples to cause a checkpoint.
numSamples := 10000
hb, err := NewHead(nil, nil, wlog, int64(numSamples)*10)
testutil.Ok(t, err)
defer hb.Close()
for i := 0; i < numSamples; i++ {
app := hb.Appender()
_, err := app.Add(labels.Labels{{Name: "a", Value: "b"}}, int64(i), 0)
testutil.Ok(t, err)
testutil.Ok(t, app.Commit())
}
testutil.Ok(t, hb.Delete(0, int64(numSamples), labels.MustNewMatcher(labels.MatchEqual, "a", "b")))
testutil.Ok(t, hb.Truncate(1))
testutil.Ok(t, hb.Close())
// Confirm there's been a checkpoint.
cdir, _, err := wal.LastCheckpoint(dir)
testutil.Ok(t, err)
// Read in checkpoint and WAL.
recs := readTestWAL(t, cdir)
recs = append(recs, readTestWAL(t, dir)...)
var series, samples, stones int
for _, rec := range recs {
switch rec.(type) {
case []record.RefSeries:
series++
case []record.RefSample:
samples++
case []tombstones.Stone:
stones++
default:
t.Fatalf("unknown record type")
}
}
testutil.Equals(t, 1, series)
testutil.Equals(t, 9999, samples)
testutil.Equals(t, 1, stones)
}
func TestDelete_e2e(t *testing.T) {
numDatapoints := 1000
numRanges := 1000
timeInterval := int64(2)
// Create 8 series with 1000 data-points of different ranges, delete and run queries.
lbls := [][]labels.Label{
{
{Name: "a", Value: "b"},
{Name: "instance", Value: "localhost:9090"},
{Name: "job", Value: "prometheus"},
},
{
{Name: "a", Value: "b"},
{Name: "instance", Value: "127.0.0.1:9090"},
{Name: "job", Value: "prometheus"},
},
{
{Name: "a", Value: "b"},
{Name: "instance", Value: "127.0.0.1:9090"},
{Name: "job", Value: "prom-k8s"},
},
{
{Name: "a", Value: "b"},
{Name: "instance", Value: "localhost:9090"},
{Name: "job", Value: "prom-k8s"},
},
{
{Name: "a", Value: "c"},
{Name: "instance", Value: "localhost:9090"},
{Name: "job", Value: "prometheus"},
},
{
{Name: "a", Value: "c"},
{Name: "instance", Value: "127.0.0.1:9090"},
{Name: "job", Value: "prometheus"},
},
{
{Name: "a", Value: "c"},
{Name: "instance", Value: "127.0.0.1:9090"},
{Name: "job", Value: "prom-k8s"},
},
{
{Name: "a", Value: "c"},
{Name: "instance", Value: "localhost:9090"},
{Name: "job", Value: "prom-k8s"},
},
}
seriesMap := map[string][]tsdbutil.Sample{}
for _, l := range lbls {
seriesMap[labels.New(l...).String()] = []tsdbutil.Sample{}
}
dir, _ := ioutil.TempDir("", "test")
defer func() {
testutil.Ok(t, os.RemoveAll(dir))
}()
hb, err := NewHead(nil, nil, nil, 100000)
testutil.Ok(t, err)
defer hb.Close()
app := hb.Appender()
for _, l := range lbls {
ls := labels.New(l...)
series := []tsdbutil.Sample{}
ts := rand.Int63n(300)
for i := 0; i < numDatapoints; i++ {
v := rand.Float64()
_, err := app.Add(ls, ts, v)
testutil.Ok(t, err)
series = append(series, sample{ts, v})
ts += rand.Int63n(timeInterval) + 1
}
seriesMap[labels.New(l...).String()] = series
}
testutil.Ok(t, app.Commit())
// Delete a time-range from each-selector.
dels := []struct {
ms []*labels.Matcher
drange tombstones.Intervals
}{
{
ms: []*labels.Matcher{labels.MustNewMatcher(labels.MatchEqual, "a", "b")},
drange: tombstones.Intervals{{Mint: 300, Maxt: 500}, {Mint: 600, Maxt: 670}},
},
{
ms: []*labels.Matcher{
labels.MustNewMatcher(labels.MatchEqual, "a", "b"),
labels.MustNewMatcher(labels.MatchEqual, "job", "prom-k8s"),
},
drange: tombstones.Intervals{{Mint: 300, Maxt: 500}, {Mint: 100, Maxt: 670}},
},
{
ms: []*labels.Matcher{
labels.MustNewMatcher(labels.MatchEqual, "a", "c"),
labels.MustNewMatcher(labels.MatchEqual, "instance", "localhost:9090"),
labels.MustNewMatcher(labels.MatchEqual, "job", "prometheus"),
},
drange: tombstones.Intervals{{Mint: 300, Maxt: 400}, {Mint: 100, Maxt: 6700}},
},
// TODO: Add Regexp Matchers.
}
for _, del := range dels {
for _, r := range del.drange {
testutil.Ok(t, hb.Delete(r.Mint, r.Maxt, del.ms...))
}
matched := labels.Slice{}
for _, ls := range lbls {
s := labels.Selector(del.ms)
if s.Matches(ls) {
matched = append(matched, ls)
}
}
sort.Sort(matched)
for i := 0; i < numRanges; i++ {
q, err := NewBlockQuerier(hb, 0, 100000)
testutil.Ok(t, err)
defer q.Close()
ss, err := q.SelectSorted(del.ms...)
testutil.Ok(t, err)
// Build the mockSeriesSet.
matchedSeries := make([]Series, 0, len(matched))
for _, m := range matched {
smpls := seriesMap[m.String()]
smpls = deletedSamples(smpls, del.drange)
// Only append those series for which samples exist as mockSeriesSet
// doesn't skip series with no samples.
// TODO: But sometimes SeriesSet returns an empty SeriesIterator
if len(smpls) > 0 {
matchedSeries = append(matchedSeries, newSeries(
m.Map(),
smpls,
))
}
}
expSs := newMockSeriesSet(matchedSeries)
// Compare both SeriesSets.
for {
eok, rok := expSs.Next(), ss.Next()
// Skip a series if iterator is empty.
if rok {
for !ss.At().Iterator().Next() {
rok = ss.Next()
if !rok {
break
}
}
}
testutil.Equals(t, eok, rok)
if !eok {
break
}
sexp := expSs.At()
sres := ss.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 boundedSamples(full []tsdbutil.Sample, mint, maxt int64) []tsdbutil.Sample {
for len(full) > 0 {
if full[0].T() >= mint {
break
}
full = full[1:]
}
for i, s := range full {
// labels.Labelinate on the first sample larger than maxt.
if s.T() > maxt {
return full[:i]
}
}
// maxt is after highest sample.
return full
}
func deletedSamples(full []tsdbutil.Sample, dranges tombstones.Intervals) []tsdbutil.Sample {
ds := make([]tsdbutil.Sample, 0, len(full))
Outer:
for _, s := range full {
for _, r := range dranges {
if r.InBounds(s.T()) {
continue Outer
}
}
ds = append(ds, s)
}
return ds
}
func TestComputeChunkEndTime(t *testing.T) {
cases := []struct {
start, cur, max int64
res int64
}{
{
start: 0,
cur: 250,
max: 1000,
res: 1000,
},
{
start: 100,
cur: 200,
max: 1000,
res: 550,
},
// Case where we fit floored 0 chunks. Must catch division by 0
// and default to maximum time.
{
start: 0,
cur: 500,
max: 1000,
res: 1000,
},
// Catch division by zero for cur == start. Strictly not a possible case.
{
start: 100,
cur: 100,
max: 1000,
res: 104,
},
}
for _, c := range cases {
got := computeChunkEndTime(c.start, c.cur, c.max)
if got != c.res {
t.Errorf("expected %d for (start: %d, cur: %d, max: %d), got %d", c.res, c.start, c.cur, c.max, got)
}
}
}
func TestMemSeries_append(t *testing.T) {
s := newMemSeries(labels.Labels{}, 1, 500)
// Add first two samples at the very end of a chunk range and the next two
// on and after it.
// New chunk must correctly be cut at 1000.
ok, chunkCreated := s.append(998, 1)
testutil.Assert(t, ok, "append failed")
testutil.Assert(t, chunkCreated, "first sample created chunk")
ok, chunkCreated = s.append(999, 2)
testutil.Assert(t, ok, "append failed")
testutil.Assert(t, !chunkCreated, "second sample should use same chunk")
ok, chunkCreated = s.append(1000, 3)
testutil.Assert(t, ok, "append failed")
testutil.Assert(t, chunkCreated, "expected new chunk on boundary")
ok, chunkCreated = s.append(1001, 4)
testutil.Assert(t, ok, "append failed")
testutil.Assert(t, !chunkCreated, "second sample should use same chunk")
testutil.Assert(t, s.chunks[0].minTime == 998 && s.chunks[0].maxTime == 999, "wrong chunk range")
testutil.Assert(t, s.chunks[1].minTime == 1000 && s.chunks[1].maxTime == 1001, "wrong chunk range")
// Fill the range [1000,2000) with many samples. Intermediate chunks should be cut
// at approximately 120 samples per chunk.
for i := 1; i < 1000; i++ {
ok, _ := s.append(1001+int64(i), float64(i))
testutil.Assert(t, ok, "append failed")
}
testutil.Assert(t, len(s.chunks) > 7, "expected intermediate chunks")
// All chunks but the first and last should now be moderately full.
for i, c := range s.chunks[1 : len(s.chunks)-1] {
testutil.Assert(t, c.chunk.NumSamples() > 100, "unexpected small chunk %d of length %d", i, c.chunk.NumSamples())
}
}
func TestGCChunkAccess(t *testing.T) {
// Put a chunk, select it. GC it and then access it.
h, err := NewHead(nil, nil, nil, 1000)
testutil.Ok(t, err)
defer h.Close()
h.initTime(0)
s, _ := h.getOrCreate(1, labels.FromStrings("a", "1"))
s.chunks = []*memChunk{
{minTime: 0, maxTime: 999},
{minTime: 1000, maxTime: 1999},
}
idx := h.indexRange(0, 1500)
var (
lset labels.Labels
chunks []chunks.Meta
)
testutil.Ok(t, idx.Series(1, &lset, &chunks))
testutil.Equals(t, labels.Labels{{
Name: "a", Value: "1",
}}, lset)
testutil.Equals(t, 2, len(chunks))
cr := h.chunksRange(0, 1500)
_, err = cr.Chunk(chunks[0].Ref)
testutil.Ok(t, err)
_, err = cr.Chunk(chunks[1].Ref)
testutil.Ok(t, err)
testutil.Ok(t, h.Truncate(1500)) // Remove a chunk.
_, err = cr.Chunk(chunks[0].Ref)
testutil.Equals(t, ErrNotFound, err)
_, err = cr.Chunk(chunks[1].Ref)
testutil.Ok(t, err)
}
func TestGCSeriesAccess(t *testing.T) {
// Put a series, select it. GC it and then access it.
h, err := NewHead(nil, nil, nil, 1000)
testutil.Ok(t, err)
defer h.Close()
h.initTime(0)
s, _ := h.getOrCreate(1, labels.FromStrings("a", "1"))
s.chunks = []*memChunk{
{minTime: 0, maxTime: 999},
{minTime: 1000, maxTime: 1999},
}
idx := h.indexRange(0, 2000)
var (
lset labels.Labels
chunks []chunks.Meta
)
testutil.Ok(t, idx.Series(1, &lset, &chunks))
testutil.Equals(t, labels.Labels{{
Name: "a", Value: "1",
}}, lset)
testutil.Equals(t, 2, len(chunks))
cr := h.chunksRange(0, 2000)
_, err = cr.Chunk(chunks[0].Ref)
testutil.Ok(t, err)
_, err = cr.Chunk(chunks[1].Ref)
testutil.Ok(t, err)
testutil.Ok(t, h.Truncate(2000)) // Remove the series.
testutil.Equals(t, (*memSeries)(nil), h.series.getByID(1))
_, err = cr.Chunk(chunks[0].Ref)
testutil.Equals(t, ErrNotFound, err)
_, err = cr.Chunk(chunks[1].Ref)
testutil.Equals(t, ErrNotFound, err)
}
func TestUncommittedSamplesNotLostOnTruncate(t *testing.T) {
h, err := NewHead(nil, nil, nil, 1000)
testutil.Ok(t, err)
defer h.Close()
h.initTime(0)
app := h.appender()
lset := labels.FromStrings("a", "1")
_, err = app.Add(lset, 2100, 1)
testutil.Ok(t, err)
testutil.Ok(t, h.Truncate(2000))
testutil.Assert(t, nil != h.series.getByHash(lset.Hash(), lset), "series should not have been garbage collected")
testutil.Ok(t, app.Commit())
q, err := NewBlockQuerier(h, 1500, 2500)
testutil.Ok(t, err)
defer q.Close()
ss, err := q.Select(labels.MustNewMatcher(labels.MatchEqual, "a", "1"))
testutil.Ok(t, err)
testutil.Equals(t, true, ss.Next())
}
func TestRemoveSeriesAfterRollbackAndTruncate(t *testing.T) {
h, err := NewHead(nil, nil, nil, 1000)
testutil.Ok(t, err)
defer h.Close()
h.initTime(0)
app := h.appender()
lset := labels.FromStrings("a", "1")
_, err = app.Add(lset, 2100, 1)
testutil.Ok(t, err)
testutil.Ok(t, h.Truncate(2000))
testutil.Assert(t, nil != h.series.getByHash(lset.Hash(), lset), "series should not have been garbage collected")
testutil.Ok(t, app.Rollback())
q, err := NewBlockQuerier(h, 1500, 2500)
testutil.Ok(t, err)
defer q.Close()
ss, err := q.Select(labels.MustNewMatcher(labels.MatchEqual, "a", "1"))
testutil.Ok(t, err)
testutil.Equals(t, false, ss.Next())
// Truncate again, this time the series should be deleted
testutil.Ok(t, h.Truncate(2050))
testutil.Equals(t, (*memSeries)(nil), h.series.getByHash(lset.Hash(), lset))
}
func TestHead_LogRollback(t *testing.T) {
for _, compress := range []bool{false, true} {
t.Run(fmt.Sprintf("compress=%t", compress), func(t *testing.T) {
dir, err := ioutil.TempDir("", "wal_rollback")
testutil.Ok(t, err)
defer func() {
testutil.Ok(t, os.RemoveAll(dir))
}()
w, err := wal.New(nil, nil, dir, compress)
testutil.Ok(t, err)
defer w.Close()
h, err := NewHead(nil, nil, w, 1000)
testutil.Ok(t, err)
app := h.Appender()
_, err = app.Add(labels.FromStrings("a", "b"), 1, 2)
testutil.Ok(t, err)
testutil.Ok(t, app.Rollback())
recs := readTestWAL(t, w.Dir())
testutil.Equals(t, 1, len(recs))
series, ok := recs[0].([]record.RefSeries)
testutil.Assert(t, ok, "expected series record but got %+v", recs[0])
testutil.Equals(t, []record.RefSeries{{Ref: 1, Labels: labels.FromStrings("a", "b")}}, series)
})
}
}
// TestWalRepair_DecodingError ensures that a repair is run for an error
// when decoding a record.
func TestWalRepair_DecodingError(t *testing.T) {
var enc record.Encoder
for name, test := range map[string]struct {
corrFunc func(rec []byte) []byte // Func that applies the corruption to a record.
rec []byte
totalRecs int
expRecs int
}{
"invalid_record": {
func(rec []byte) []byte {
// Do not modify the base record because it is Logged multiple times.
res := make([]byte, len(rec))
copy(res, rec)
res[0] = byte(record.Invalid)
return res
},
enc.Series([]record.RefSeries{{Ref: 1, Labels: labels.FromStrings("a", "b")}}, []byte{}),
9,
5,
},
"decode_series": {
func(rec []byte) []byte {
return rec[:3]
},
enc.Series([]record.RefSeries{{Ref: 1, Labels: labels.FromStrings("a", "b")}}, []byte{}),
9,
5,
},
"decode_samples": {
func(rec []byte) []byte {
return rec[:3]
},
enc.Samples([]record.RefSample{{Ref: 0, T: 99, V: 1}}, []byte{}),
9,
5,
},
"decode_tombstone": {
func(rec []byte) []byte {
return rec[:3]
},
enc.Tombstones([]tombstones.Stone{{Ref: 1, Intervals: tombstones.Intervals{}}}, []byte{}),
9,
5,
},
} {
for _, compress := range []bool{false, true} {
t.Run(fmt.Sprintf("%s,compress=%t", name, compress), func(t *testing.T) {
dir, err := ioutil.TempDir("", "wal_repair")
testutil.Ok(t, err)
defer func() {
testutil.Ok(t, os.RemoveAll(dir))
}()
// Fill the wal and corrupt it.
{
w, err := wal.New(nil, nil, filepath.Join(dir, "wal"), compress)
testutil.Ok(t, err)
for i := 1; i <= test.totalRecs; i++ {
// At this point insert a corrupted record.
if i-1 == test.expRecs {
testutil.Ok(t, w.Log(test.corrFunc(test.rec)))
continue
}
testutil.Ok(t, w.Log(test.rec))
}
h, err := NewHead(nil, nil, w, 1)
testutil.Ok(t, err)
testutil.Equals(t, 0.0, prom_testutil.ToFloat64(h.metrics.walCorruptionsTotal))
initErr := h.Init(math.MinInt64)
err = errors.Cause(initErr) // So that we can pick up errors even if wrapped.
_, corrErr := err.(*wal.CorruptionErr)
testutil.Assert(t, corrErr, "reading the wal didn't return corruption error")
testutil.Ok(t, w.Close())
}
// Open the db to trigger a repair.
{
db, err := Open(dir, nil, nil, DefaultOptions)
testutil.Ok(t, err)
defer func() {
testutil.Ok(t, db.Close())
}()
testutil.Equals(t, 1.0, prom_testutil.ToFloat64(db.head.metrics.walCorruptionsTotal))
}
// Read the wal content after the repair.
{
sr, err := wal.NewSegmentsReader(filepath.Join(dir, "wal"))
testutil.Ok(t, err)
defer sr.Close()
r := wal.NewReader(sr)
var actRec int
for r.Next() {
actRec++
}
testutil.Ok(t, r.Err())
testutil.Equals(t, test.expRecs, actRec, "Wrong number of intact records")
}
})
}
}
}
func TestNewWalSegmentOnTruncate(t *testing.T) {
dir, err := ioutil.TempDir("", "test_wal_segments")
testutil.Ok(t, err)
defer func() {
testutil.Ok(t, os.RemoveAll(dir))
}()
wlog, err := wal.NewSize(nil, nil, dir, 32768, false)
testutil.Ok(t, err)
h, err := NewHead(nil, nil, wlog, 1000)
testutil.Ok(t, err)
defer h.Close()
add := func(ts int64) {
app := h.Appender()
_, err := app.Add(labels.Labels{{Name: "a", Value: "b"}}, ts, 0)
testutil.Ok(t, err)
testutil.Ok(t, app.Commit())
}
add(0)
_, last, err := wlog.Segments()
testutil.Ok(t, err)
testutil.Equals(t, 0, last)
add(1)
testutil.Ok(t, h.Truncate(1))
_, last, err = wlog.Segments()
testutil.Ok(t, err)
testutil.Equals(t, 1, last)
add(2)
testutil.Ok(t, h.Truncate(2))
_, last, err = wlog.Segments()
testutil.Ok(t, err)
testutil.Equals(t, 2, last)
}
func TestAddDuplicateLabelName(t *testing.T) {
dir, err := ioutil.TempDir("", "test_duplicate_label_name")
testutil.Ok(t, err)
defer func() {
testutil.Ok(t, os.RemoveAll(dir))
}()
wlog, err := wal.NewSize(nil, nil, dir, 32768, false)
testutil.Ok(t, err)
h, err := NewHead(nil, nil, wlog, 1000)
testutil.Ok(t, err)
defer h.Close()
add := func(labels labels.Labels, labelName string) {
app := h.Appender()
_, err = app.Add(labels, 0, 0)
testutil.NotOk(t, err)
testutil.Equals(t, fmt.Sprintf(`label name "%s" is not unique: invalid sample`, labelName), err.Error())
}
add(labels.Labels{{Name: "a", Value: "c"}, {Name: "a", Value: "b"}}, "a")
add(labels.Labels{{Name: "a", Value: "c"}, {Name: "a", Value: "c"}}, "a")
add(labels.Labels{{Name: "__name__", Value: "up"}, {Name: "job", Value: "prometheus"}, {Name: "le", Value: "500"}, {Name: "le", Value: "400"}, {Name: "unit", Value: "s"}}, "le")
}