mirror of
https://github.com/prometheus/prometheus.git
synced 2024-12-26 22:19:40 -08:00
345 lines
8.9 KiB
Go
345 lines
8.9 KiB
Go
// Copyright 2014 Prometheus Team
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package local
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import (
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"reflect"
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"testing"
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clientmodel "github.com/prometheus/client_golang/model"
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"github.com/prometheus/prometheus/storage/local/codable"
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"github.com/prometheus/prometheus/storage/local/index"
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"github.com/prometheus/prometheus/storage/metric"
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"github.com/prometheus/prometheus/utility/test"
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)
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func newTestPersistence(t *testing.T) (*persistence, test.Closer) {
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dir := test.NewTemporaryDirectory("test_persistence", t)
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p, err := newPersistence(dir.Path(), 1024)
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if err != nil {
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dir.Close()
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t.Fatal(err)
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}
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return p, test.NewCallbackCloser(func() {
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p.close()
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dir.Close()
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})
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}
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func buildTestChunks() map[clientmodel.Fingerprint]chunks {
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fps := clientmodel.Fingerprints{
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clientmodel.Metric{
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"label": "value1",
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}.Fingerprint(),
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clientmodel.Metric{
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"label": "value2",
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}.Fingerprint(),
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clientmodel.Metric{
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"label": "value3",
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}.Fingerprint(),
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}
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fpToChunks := map[clientmodel.Fingerprint]chunks{}
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for _, fp := range fps {
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fpToChunks[fp] = make(chunks, 0, 10)
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for i := 0; i < 10; i++ {
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fpToChunks[fp] = append(fpToChunks[fp], newDeltaEncodedChunk(d1, d1, true).add(&metric.SamplePair{
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Timestamp: clientmodel.Timestamp(i),
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Value: clientmodel.SampleValue(fp),
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})[0])
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}
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}
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return fpToChunks
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}
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func chunksEqual(c1, c2 chunk) bool {
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values2 := c2.values()
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for v1 := range c1.values() {
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v2 := <-values2
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if !v1.Equal(v2) {
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return false
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}
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}
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return true
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}
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func TestPersistChunk(t *testing.T) {
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p, closer := newTestPersistence(t)
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defer closer.Close()
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fpToChunks := buildTestChunks()
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for fp, chunks := range fpToChunks {
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for _, c := range chunks {
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if err := p.persistChunk(fp, c); err != nil {
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t.Fatal(err)
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}
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}
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}
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for fp, expectedChunks := range fpToChunks {
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indexes := make([]int, 0, len(expectedChunks))
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for i := range expectedChunks {
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indexes = append(indexes, i)
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}
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actualChunks, err := p.loadChunks(fp, indexes)
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if err != nil {
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t.Fatal(err)
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}
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for _, i := range indexes {
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if !chunksEqual(expectedChunks[i], actualChunks[i]) {
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t.Fatalf("%d. Chunks not equal.", i)
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}
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}
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}
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}
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type incrementalBatch struct {
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fpToMetric index.FingerprintMetricMapping
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expectedLnToLvs index.LabelNameLabelValuesMapping
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expectedLpToFps index.LabelPairFingerprintsMapping
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}
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func TestIndexing(t *testing.T) {
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batches := []incrementalBatch{
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{
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fpToMetric: index.FingerprintMetricMapping{
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0: {
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clientmodel.MetricNameLabel: "metric_0",
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"label_1": "value_1",
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},
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1: {
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clientmodel.MetricNameLabel: "metric_0",
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"label_2": "value_2",
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"label_3": "value_3",
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},
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2: {
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clientmodel.MetricNameLabel: "metric_1",
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"label_1": "value_2",
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},
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},
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expectedLnToLvs: index.LabelNameLabelValuesMapping{
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clientmodel.MetricNameLabel: codable.LabelValueSet{
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"metric_0": struct{}{},
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"metric_1": struct{}{},
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},
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"label_1": codable.LabelValueSet{
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"value_1": struct{}{},
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"value_2": struct{}{},
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},
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"label_2": codable.LabelValueSet{
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"value_2": struct{}{},
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},
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"label_3": codable.LabelValueSet{
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"value_3": struct{}{},
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},
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},
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expectedLpToFps: index.LabelPairFingerprintsMapping{
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metric.LabelPair{
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Name: clientmodel.MetricNameLabel,
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Value: "metric_0",
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}: codable.FingerprintSet{0: struct{}{}, 1: struct{}{}},
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metric.LabelPair{
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Name: clientmodel.MetricNameLabel,
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Value: "metric_1",
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}: codable.FingerprintSet{2: struct{}{}},
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metric.LabelPair{
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Name: "label_1",
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Value: "value_1",
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}: codable.FingerprintSet{0: struct{}{}},
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metric.LabelPair{
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Name: "label_1",
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Value: "value_2",
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}: codable.FingerprintSet{2: struct{}{}},
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metric.LabelPair{
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Name: "label_2",
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Value: "value_2",
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}: codable.FingerprintSet{1: struct{}{}},
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metric.LabelPair{
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Name: "label_3",
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Value: "value_3",
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}: codable.FingerprintSet{1: struct{}{}},
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},
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}, {
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fpToMetric: index.FingerprintMetricMapping{
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3: {
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clientmodel.MetricNameLabel: "metric_0",
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"label_1": "value_3",
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},
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4: {
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clientmodel.MetricNameLabel: "metric_2",
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"label_2": "value_2",
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"label_3": "value_1",
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},
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5: {
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clientmodel.MetricNameLabel: "metric_1",
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"label_1": "value_3",
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},
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},
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expectedLnToLvs: index.LabelNameLabelValuesMapping{
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clientmodel.MetricNameLabel: codable.LabelValueSet{
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"metric_0": struct{}{},
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"metric_1": struct{}{},
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"metric_2": struct{}{},
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},
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"label_1": codable.LabelValueSet{
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"value_1": struct{}{},
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"value_2": struct{}{},
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"value_3": struct{}{},
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},
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"label_2": codable.LabelValueSet{
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"value_2": struct{}{},
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},
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"label_3": codable.LabelValueSet{
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"value_1": struct{}{},
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"value_3": struct{}{},
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},
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},
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expectedLpToFps: index.LabelPairFingerprintsMapping{
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metric.LabelPair{
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Name: clientmodel.MetricNameLabel,
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Value: "metric_0",
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}: codable.FingerprintSet{0: struct{}{}, 1: struct{}{}, 3: struct{}{}},
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metric.LabelPair{
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Name: clientmodel.MetricNameLabel,
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Value: "metric_1",
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}: codable.FingerprintSet{2: struct{}{}, 5: struct{}{}},
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metric.LabelPair{
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Name: clientmodel.MetricNameLabel,
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Value: "metric_2",
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}: codable.FingerprintSet{4: struct{}{}},
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metric.LabelPair{
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Name: "label_1",
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Value: "value_1",
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}: codable.FingerprintSet{0: struct{}{}},
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metric.LabelPair{
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Name: "label_1",
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Value: "value_2",
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}: codable.FingerprintSet{2: struct{}{}},
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metric.LabelPair{
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Name: "label_1",
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Value: "value_3",
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}: codable.FingerprintSet{3: struct{}{}, 5: struct{}{}},
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metric.LabelPair{
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Name: "label_2",
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Value: "value_2",
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}: codable.FingerprintSet{1: struct{}{}, 4: struct{}{}},
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metric.LabelPair{
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Name: "label_3",
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Value: "value_1",
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}: codable.FingerprintSet{4: struct{}{}},
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metric.LabelPair{
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Name: "label_3",
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Value: "value_3",
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}: codable.FingerprintSet{1: struct{}{}},
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},
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},
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}
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p, closer := newTestPersistence(t)
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defer closer.Close()
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indexedFpsToMetrics := index.FingerprintMetricMapping{}
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for i, b := range batches {
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for fp, m := range b.fpToMetric {
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p.indexMetric(m, fp)
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if err := p.archiveMetric(fp, m, 1, 2); err != nil {
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t.Fatal(err)
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}
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indexedFpsToMetrics[fp] = m
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}
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verifyIndexedState(i, t, b, indexedFpsToMetrics, p)
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}
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for i := len(batches) - 1; i >= 0; i-- {
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b := batches[i]
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verifyIndexedState(i, t, batches[i], indexedFpsToMetrics, p)
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for fp, m := range b.fpToMetric {
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p.unindexMetric(m, fp)
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unarchived, err := p.unarchiveMetric(fp)
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if err != nil {
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t.Fatal(err)
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}
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if !unarchived {
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t.Errorf("%d. metric not unarchived", i)
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}
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delete(indexedFpsToMetrics, fp)
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}
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}
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}
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func verifyIndexedState(i int, t *testing.T, b incrementalBatch, indexedFpsToMetrics index.FingerprintMetricMapping, p *persistence) {
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p.waitForIndexing()
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for fp, m := range indexedFpsToMetrics {
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// Compare archived metrics with input metrics.
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mOut, err := p.getArchivedMetric(fp)
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if err != nil {
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t.Fatal(err)
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}
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if !mOut.Equal(m) {
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t.Errorf("%d. %v: Got: %s; want %s", i, fp, mOut, m)
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}
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// Check that archived metrics are in membership index.
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has, first, last, err := p.hasArchivedMetric(fp)
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if err != nil {
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t.Fatal(err)
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}
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if !has {
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t.Errorf("%d. fingerprint %v not found", i, fp)
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}
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if first != 1 || last != 2 {
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t.Errorf(
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"%d. %v: Got first: %d, last %d; want first: %d, last %d",
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i, fp, first, last, 1, 2,
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)
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}
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}
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// Compare label name -> label values mappings.
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for ln, lvs := range b.expectedLnToLvs {
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outLvs, err := p.getLabelValuesForLabelName(ln)
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if err != nil {
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t.Fatal(err)
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}
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outSet := codable.LabelValueSet{}
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for _, lv := range outLvs {
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outSet[lv] = struct{}{}
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}
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if !reflect.DeepEqual(lvs, outSet) {
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t.Errorf("%d. label values don't match. Got: %v; want %v", i, outSet, lvs)
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}
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}
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// Compare label pair -> fingerprints mappings.
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for lp, fps := range b.expectedLpToFps {
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outFps, err := p.getFingerprintsForLabelPair(lp)
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if err != nil {
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t.Fatal(err)
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}
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outSet := codable.FingerprintSet{}
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for _, fp := range outFps {
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outSet[fp] = struct{}{}
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}
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if !reflect.DeepEqual(fps, outSet) {
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t.Errorf("%d. %v: fingerprints don't match. Got: %v; want %v", i, lp, outSet, fps)
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}
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}
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}
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