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prometheus/head_test.go

357 lines
7.9 KiB

// 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 (
"io/ioutil"
"math"
"math/rand"
"os"
"sort"
"testing"
"unsafe"
8 years ago
"github.com/pkg/errors"
"github.com/prometheus/tsdb/labels"
promlabels "github.com/prometheus/prometheus/pkg/labels"
"github.com/prometheus/prometheus/pkg/textparse"
"github.com/stretchr/testify/require"
)
func BenchmarkCreateSeries(b *testing.B) {
lbls, err := readPrometheusLabels("cmd/tsdb/testdata.1m", 1e6)
require.NoError(b, err)
b.Run("", func(b *testing.B) {
dir, err := ioutil.TempDir("", "create_series_bench")
require.NoError(b, err)
defer os.RemoveAll(dir)
h, err := createHeadBlock(dir, 0, nil, 0, 1)
require.NoError(b, err)
b.ReportAllocs()
b.ResetTimer()
for _, l := range lbls[:b.N] {
h.create(l.Hash(), l)
}
})
}
func readPrometheusLabels(fn string, n int) ([]labels.Labels, error) {
f, err := os.Open(fn)
if err != nil {
return nil, err
}
defer f.Close()
b, err := ioutil.ReadAll(f)
if err != nil {
return nil, err
}
p := textparse.New(b)
i := 0
var mets []labels.Labels
hashes := map[uint64]struct{}{}
for p.Next() && i < n {
m := make(labels.Labels, 0, 10)
p.Metric((*promlabels.Labels)(unsafe.Pointer(&m)))
h := m.Hash()
if _, ok := hashes[h]; ok {
continue
}
mets = append(mets, m)
hashes[h] = struct{}{}
i++
}
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if err := p.Err(); err != nil {
return nil, err
}
if i != n {
return mets, errors.Errorf("requested %d metrics but found %d", n, i)
}
return mets, nil
}
func TestAmendDatapointCausesError(t *testing.T) {
tmpdir, _ := ioutil.TempDir("", "test")
defer os.RemoveAll(tmpdir)
hb, err := createHeadBlock(tmpdir+"/hb", 0, nil, 0, 1000)
if err != nil {
t.Fatalf("Error creating head block: %s", err)
}
app := hb.Appender()
_, err = app.Add(labels.Labels{}, 0, 0)
if err != nil {
t.Fatalf("Failed to add sample: %s", err)
}
if err = app.Commit(); err != nil {
t.Fatalf("Unexpected error committing appender: %s", err)
}
app = hb.Appender()
_, err = app.Add(labels.Labels{}, 0, 1)
if err != ErrAmendSample {
t.Fatalf("Expected error amending sample, got: %s", err)
}
}
func TestDuplicateNaNDatapointNoAmendError(t *testing.T) {
tmpdir, _ := ioutil.TempDir("", "test")
defer os.RemoveAll(tmpdir)
hb, err := createHeadBlock(tmpdir+"/hb", 0, nil, 0, 1000)
if err != nil {
t.Fatalf("Error creating head block: %s", err)
}
app := hb.Appender()
_, err = app.Add(labels.Labels{}, 0, math.NaN())
if err != nil {
t.Fatalf("Failed to add sample: %s", err)
}
if err = app.Commit(); err != nil {
t.Fatalf("Unexpected error committing appender: %s", err)
}
app = hb.Appender()
_, err = app.Add(labels.Labels{}, 0, math.NaN())
if err != nil {
t.Fatalf("Unexpected error adding duplicate NaN sample, got: %s", err)
}
}
func TestNonDuplicateNaNDatapointsCausesAmendError(t *testing.T) {
tmpdir, _ := ioutil.TempDir("", "test")
defer os.RemoveAll(tmpdir)
hb, err := createHeadBlock(tmpdir+"/hb", 0, nil, 0, 1000)
if err != nil {
t.Fatalf("Error creating head block: %s", err)
}
app := hb.Appender()
_, err = app.Add(labels.Labels{}, 0, math.Float64frombits(0x7ff0000000000001))
if err != nil {
t.Fatalf("Failed to add sample: %s", err)
}
if err = app.Commit(); err != nil {
t.Fatalf("Unexpected error committing appender: %s", err)
}
app = hb.Appender()
_, err = app.Add(labels.Labels{}, 0, math.Float64frombits(0x7ff0000000000002))
if err != ErrAmendSample {
t.Fatalf("Expected error amending sample, got: %s", err)
}
}
func TestHeadBlock_e2e(t *testing.T) {
numDatapoints := 1000
numRanges := 1000
timeInterval := int64(3)
// Create 8 series with 1000 data-points of different ranges and run queries.
lbls := [][]labels.Label{
{
{"a", "b"},
{"instance", "localhost:9090"},
{"job", "prometheus"},
},
{
{"a", "b"},
{"instance", "127.0.0.1:9090"},
{"job", "prometheus"},
},
{
{"a", "b"},
{"instance", "127.0.0.1:9090"},
{"job", "prom-k8s"},
},
{
{"a", "b"},
{"instance", "localhost:9090"},
{"job", "prom-k8s"},
},
{
{"a", "c"},
{"instance", "localhost:9090"},
{"job", "prometheus"},
},
{
{"a", "c"},
{"instance", "127.0.0.1:9090"},
{"job", "prometheus"},
},
{
{"a", "c"},
{"instance", "127.0.0.1:9090"},
{"job", "prom-k8s"},
},
{
{"a", "c"},
{"instance", "localhost:9090"},
{"job", "prom-k8s"},
},
}
seriesMap := map[string][]sample{}
for _, l := range lbls {
seriesMap[labels.New(l...).String()] = []sample{}
}
tmpdir, _ := ioutil.TempDir("", "test")
defer os.RemoveAll(tmpdir)
hb, err := createHeadBlock(tmpdir+"/hb", 0, nil, 0, 1000)
require.NoError(t, err)
app := hb.Appender()
for _, l := range lbls {
ls := labels.New(l...)
series := []sample{}
ts := rand.Int63n(300)
for i := 0; i < numDatapoints; i++ {
v := rand.Float64()
series = append(series, sample{ts, v})
_, err := app.Add(ls, ts, v)
require.NoError(t, err)
ts += rand.Int63n(timeInterval) + 1
}
seriesMap[labels.New(l...).String()] = series
}
require.NoError(t, app.Commit())
// Query each selector on 1000 random time-ranges.
queries := []struct {
ms []labels.Matcher
}{
{
ms: []labels.Matcher{labels.NewEqualMatcher("a", "b")},
},
{
ms: []labels.Matcher{
labels.NewEqualMatcher("a", "b"),
labels.NewEqualMatcher("job", "prom-k8s"),
},
},
{
ms: []labels.Matcher{
labels.NewEqualMatcher("a", "c"),
labels.NewEqualMatcher("instance", "localhost:9090"),
labels.NewEqualMatcher("job", "prometheus"),
},
},
// TODO: Add Regexp Matchers.
}
for _, qry := range queries {
matched := labels.Slice{}
for _, ls := range lbls {
s := labels.Selector(qry.ms)
if s.Matches(ls) {
matched = append(matched, ls)
}
}
sort.Sort(matched)
for i := 0; i < numRanges; i++ {
mint := rand.Int63n(300)
maxt := mint + rand.Int63n(timeInterval*int64(numDatapoints))
q := hb.Querier(mint, maxt)
ss := q.Select(qry.ms...)
// Build the mockSeriesSet.
matchedSeries := make([]Series, 0, len(matched))
for _, m := range matched {
smpls := boundedSamples(seriesMap[m.String()], mint, maxt)
// 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 := newListSeriesSet(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
}
}
}
require.Equal(t, eok, rok, "next")
if !eok {
break
}
sexp := expSs.At()
sres := ss.At()
require.Equal(t, sexp.Labels(), sres.Labels(), "labels")
smplExp, errExp := expandSeriesIterator(sexp.Iterator())
smplRes, errRes := expandSeriesIterator(sres.Iterator())
require.Equal(t, errExp, errRes, "samples error")
require.Equal(t, smplExp, smplRes, "samples")
}
}
}
return
}
func boundedSamples(full []sample, mint, maxt int64) []sample {
for len(full) > 0 {
if full[0].t >= mint {
break
}
full = full[1:]
}
for i, s := range full {
// Terminate on the first sample larger than maxt.
if s.t > maxt {
return full[:i]
}
}
// maxt is after highest sample.
return full
}