// Copyright 2013 Prometheus Team // 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 leveldb import ( "code.google.com/p/goprotobuf/proto" "fmt" "github.com/prometheus/prometheus/model" dto "github.com/prometheus/prometheus/model/generated" "github.com/prometheus/prometheus/utility/test" "io/ioutil" "math" "math/rand" "os" "testing" "testing/quick" "time" ) const ( stochasticMaximumVariance = 8 ) var testBasicLifecycle func(t test.Tester) = func(t test.Tester) { temporaryDirectory, temporaryDirectoryErr := ioutil.TempDir("", "leveldb_metric_persistence_test") if temporaryDirectoryErr != nil { t.Errorf("Could not create test directory: %q\n", temporaryDirectoryErr) return } defer func() { if removeAllErr := os.RemoveAll(temporaryDirectory); removeAllErr != nil { t.Errorf("Could not remove temporary directory: %q\n", removeAllErr) } }() persistence, openErr := NewLevelDBMetricPersistence(temporaryDirectory) if openErr != nil { t.Errorf("Could not create LevelDB Metric Persistence: %q\n", openErr) } if persistence == nil { t.Errorf("Received nil LevelDB Metric Persistence.\n") return } closeErr := persistence.Close() if closeErr != nil { t.Errorf("Could not close LevelDB Metric Persistence: %q\n", closeErr) } } func TestBasicLifecycle(t *testing.T) { testBasicLifecycle(t) } func BenchmarkBasicLifecycle(b *testing.B) { for i := 0; i < b.N; i++ { testBasicLifecycle(b) } } var testReadEmpty func(t test.Tester) = func(t test.Tester) { temporaryDirectory, _ := ioutil.TempDir("", "leveldb_metric_persistence_test") defer func() { if removeAllErr := os.RemoveAll(temporaryDirectory); removeAllErr != nil { t.Errorf("Could not remove temporary directory: %q\n", removeAllErr) } }() persistence, _ := NewLevelDBMetricPersistence(temporaryDirectory) defer func() { persistence.Close() }() hasLabelPair := func(x int) bool { name := string(x) value := string(x) dto := &dto.LabelPair{ Name: proto.String(name), Value: proto.String(value), } has, hasErr := persistence.HasLabelPair(dto) if hasErr != nil { return false } return has == false } if hasPairErr := quick.Check(hasLabelPair, nil); hasPairErr != nil { t.Error(hasPairErr) } hasLabelName := func(x int) bool { name := string(x) dto := &dto.LabelName{ Name: proto.String(name), } has, hasErr := persistence.HasLabelName(dto) if hasErr != nil { return false } return has == false } if hasNameErr := quick.Check(hasLabelName, nil); hasNameErr != nil { t.Error(hasNameErr) } getLabelPairFingerprints := func(x int) bool { name := string(x) value := string(x) dto := &dto.LabelPair{ Name: proto.String(name), Value: proto.String(value), } fingerprints, fingerprintsErr := persistence.getFingerprintsForLabelSet(dto) if fingerprintsErr != nil { return false } if fingerprints == nil { return false } return len(fingerprints.Member) == 0 } if labelPairFingerprintsErr := quick.Check(getLabelPairFingerprints, nil); labelPairFingerprintsErr != nil { t.Error(labelPairFingerprintsErr) } getLabelNameFingerprints := func(x int) bool { name := string(x) dto := &dto.LabelName{ Name: proto.String(name), } fingerprints, fingerprintsErr := persistence.GetLabelNameFingerprints(dto) if fingerprintsErr != nil { return false } if fingerprints == nil { return false } return len(fingerprints.Member) == 0 } if labelNameFingerprintsErr := quick.Check(getLabelNameFingerprints, nil); labelNameFingerprintsErr != nil { t.Error(labelNameFingerprintsErr) } } func TestReadEmpty(t *testing.T) { testReadEmpty(t) } func BenchmarkReadEmpty(b *testing.B) { for i := 0; i < b.N; i++ { testReadEmpty(b) } } var testAppendSampleAsPureSparseAppend = func(t test.Tester) { temporaryDirectory, _ := ioutil.TempDir("", "leveldb_metric_persistence_test") defer func() { if removeAllErr := os.RemoveAll(temporaryDirectory); removeAllErr != nil { t.Errorf("Could not remove temporary directory: %q\n", removeAllErr) } }() persistence, _ := NewLevelDBMetricPersistence(temporaryDirectory) defer func() { persistence.Close() }() appendSample := func(x int) bool { v := model.SampleValue(x) t := time.Unix(int64(x), int64(x)) l := model.Metric{model.LabelName(x): model.LabelValue(x)} sample := model.Sample{ Value: v, Timestamp: t, Metric: l, } appendErr := persistence.AppendSample(sample) return appendErr == nil } if appendErr := quick.Check(appendSample, nil); appendErr != nil { t.Error(appendErr) } } func TestAppendSampleAsPureSparseAppend(t *testing.T) { testAppendSampleAsPureSparseAppend(t) } func BenchmarkAppendSampleAsPureSparseAppend(b *testing.B) { for i := 0; i < b.N; i++ { testAppendSampleAsPureSparseAppend(b) } } var testAppendSampleAsSparseAppendWithReads func(t test.Tester) = func(t test.Tester) { temporaryDirectory, _ := ioutil.TempDir("", "leveldb_metric_persistence_test") defer func() { if removeAllErr := os.RemoveAll(temporaryDirectory); removeAllErr != nil { t.Errorf("Could not remove temporary directory: %q\n", removeAllErr) } }() persistence, _ := NewLevelDBMetricPersistence(temporaryDirectory) defer func() { persistence.Close() }() appendSample := func(x int) bool { v := model.SampleValue(x) t := time.Unix(int64(x), int64(x)) l := model.Metric{model.LabelName(x): model.LabelValue(x)} sample := model.Sample{ Value: v, Timestamp: t, Metric: l, } appendErr := persistence.AppendSample(sample) if appendErr != nil { return false } labelNameDTO := &dto.LabelName{ Name: proto.String(string(x)), } hasLabelName, hasLabelNameErr := persistence.HasLabelName(labelNameDTO) if hasLabelNameErr != nil { return false } if !hasLabelName { return false } labelPairDTO := &dto.LabelPair{ Name: proto.String(string(x)), Value: proto.String(string(x)), } hasLabelPair, hasLabelPairErr := persistence.HasLabelPair(labelPairDTO) if hasLabelPairErr != nil { return false } if !hasLabelPair { return false } labelNameFingerprints, labelNameFingerprintsErr := persistence.GetLabelNameFingerprints(labelNameDTO) if labelNameFingerprintsErr != nil { return false } if labelNameFingerprints == nil { return false } if len(labelNameFingerprints.Member) != 1 { return false } labelPairFingerprints, labelPairFingerprintsErr := persistence.getFingerprintsForLabelSet(labelPairDTO) if labelPairFingerprintsErr != nil { return false } if labelPairFingerprints == nil { return false } if len(labelPairFingerprints.Member) != 1 { return false } return true } if appendErr := quick.Check(appendSample, nil); appendErr != nil { t.Error(appendErr) } } func TestAppendSampleAsSparseAppendWithReads(t *testing.T) { testAppendSampleAsSparseAppendWithReads(t) } func BenchmarkAppendSampleAsSparseAppendWithReads(b *testing.B) { for i := 0; i < b.N; i++ { testAppendSampleAsSparseAppendWithReads(b) } } func TestAppendSampleAsPureSingleEntityAppend(t *testing.T) { temporaryDirectory, _ := ioutil.TempDir("", "leveldb_metric_persistence_test") defer func() { if removeAllErr := os.RemoveAll(temporaryDirectory); removeAllErr != nil { t.Errorf("Could not remove temporary directory: %q\n", removeAllErr) } }() persistence, _ := NewLevelDBMetricPersistence(temporaryDirectory) defer func() { persistence.Close() }() appendSample := func(x int) bool { sample := model.Sample{ Value: model.SampleValue(float32(x)), Timestamp: time.Unix(int64(x), 0), Metric: model.Metric{"name": "my_metric"}, } appendErr := persistence.AppendSample(sample) return appendErr == nil } if appendErr := quick.Check(appendSample, nil); appendErr != nil { t.Error(appendErr) } } func TestStochastic(t *testing.T) { stochastic := func(x int) bool { s := time.Now() seed := rand.NewSource(int64(x)) random := rand.New(seed) numberOfMetrics := random.Intn(stochasticMaximumVariance) + 1 numberOfSharedLabels := random.Intn(stochasticMaximumVariance) numberOfUnsharedLabels := random.Intn(stochasticMaximumVariance) numberOfSamples := random.Intn(stochasticMaximumVariance) + 2 numberOfRangeScans := random.Intn(stochasticMaximumVariance) temporaryDirectory, _ := ioutil.TempDir("", "leveldb_metric_persistence_test") defer func() { if removeAllErr := os.RemoveAll(temporaryDirectory); removeAllErr != nil { t.Errorf("Could not remove temporary directory: %q\n", removeAllErr) } }() persistence, _ := NewLevelDBMetricPersistence(temporaryDirectory) defer func() { persistence.Close() }() metricTimestamps := make(map[int]map[int64]bool) metricEarliestSample := make(map[int]int64) metricNewestSample := make(map[int]int64) for metricIndex := 0; metricIndex < numberOfMetrics; metricIndex++ { sample := model.Sample{ Metric: model.Metric{}, } v := model.LabelValue(fmt.Sprintf("metric_index_%d", metricIndex)) sample.Metric["name"] = v for sharedLabelIndex := 0; sharedLabelIndex < numberOfSharedLabels; sharedLabelIndex++ { l := model.LabelName(fmt.Sprintf("shared_label_%d", sharedLabelIndex)) v := model.LabelValue(fmt.Sprintf("label_%d", sharedLabelIndex)) sample.Metric[l] = v } for unsharedLabelIndex := 0; unsharedLabelIndex < numberOfUnsharedLabels; unsharedLabelIndex++ { l := model.LabelName(fmt.Sprintf("metric_index_%d_private_label_%d", metricIndex, unsharedLabelIndex)) v := model.LabelValue(fmt.Sprintf("private_label_%d", unsharedLabelIndex)) sample.Metric[l] = v } timestamps := make(map[int64]bool) metricTimestamps[metricIndex] = timestamps var newestSample int64 = math.MinInt64 var oldestSample int64 = math.MaxInt64 var nextTimestamp func() int64 nextTimestamp = func() int64 { var candidate int64 candidate = random.Int63n(math.MaxInt32 - 1) if _, has := timestamps[candidate]; has { candidate = nextTimestamp() } timestamps[candidate] = true if candidate < oldestSample { oldestSample = candidate } if candidate > newestSample { newestSample = candidate } return candidate } for sampleIndex := 0; sampleIndex < numberOfSamples; sampleIndex++ { sample.Timestamp = time.Unix(nextTimestamp(), 0) sample.Value = model.SampleValue(sampleIndex) appendErr := persistence.AppendSample(sample) if appendErr != nil { return false } } metricEarliestSample[metricIndex] = oldestSample metricNewestSample[metricIndex] = newestSample for sharedLabelIndex := 0; sharedLabelIndex < numberOfSharedLabels; sharedLabelIndex++ { labelPair := &dto.LabelPair{ Name: proto.String(fmt.Sprintf("shared_label_%d", sharedLabelIndex)), Value: proto.String(fmt.Sprintf("label_%d", sharedLabelIndex)), } hasLabelPair, hasLabelPairErr := persistence.HasLabelPair(labelPair) if hasLabelPairErr != nil { return false } if hasLabelPair != true { return false } labelName := &dto.LabelName{ Name: proto.String(fmt.Sprintf("shared_label_%d", sharedLabelIndex)), } hasLabelName, hasLabelNameErr := persistence.HasLabelName(labelName) if hasLabelNameErr != nil { return false } if hasLabelName != true { return false } } } for sharedIndex := 0; sharedIndex < numberOfSharedLabels; sharedIndex++ { labelName := &dto.LabelName{ Name: proto.String(fmt.Sprintf("shared_label_%d", sharedIndex)), } fingerprints, fingerprintsErr := persistence.GetLabelNameFingerprints(labelName) if fingerprintsErr != nil { return false } if fingerprints == nil { return false } if len(fingerprints.Member) != numberOfMetrics { return false } } for metricIndex := 0; metricIndex < numberOfMetrics; metricIndex++ { for unsharedLabelIndex := 0; unsharedLabelIndex < numberOfUnsharedLabels; unsharedLabelIndex++ { labelPair := &dto.LabelPair{ Name: proto.String(fmt.Sprintf("metric_index_%d_private_label_%d", metricIndex, unsharedLabelIndex)), Value: proto.String(fmt.Sprintf("private_label_%d", unsharedLabelIndex)), } hasLabelPair, hasLabelPairErr := persistence.HasLabelPair(labelPair) if hasLabelPairErr != nil { return false } if hasLabelPair != true { return false } labelPairFingerprints, labelPairFingerprintsErr := persistence.getFingerprintsForLabelSet(labelPair) if labelPairFingerprintsErr != nil { return false } if labelPairFingerprints == nil { return false } if len(labelPairFingerprints.Member) != 1 { return false } labelName := &dto.LabelName{ Name: proto.String(fmt.Sprintf("metric_index_%d_private_label_%d", metricIndex, unsharedLabelIndex)), } hasLabelName, hasLabelNameErr := persistence.HasLabelName(labelName) if hasLabelNameErr != nil { return false } if hasLabelName != true { return false } labelNameFingerprints, labelNameFingerprintsErr := persistence.GetLabelNameFingerprints(labelName) if labelNameFingerprintsErr != nil { return false } if labelNameFingerprints == nil { return false } if len(labelNameFingerprints.Member) != 1 { return false } } metric := make(model.Metric) metric["name"] = model.LabelValue(fmt.Sprintf("metric_index_%d", metricIndex)) for i := 0; i < numberOfSharedLabels; i++ { l := model.LabelName(fmt.Sprintf("shared_label_%d", i)) v := model.LabelValue(fmt.Sprintf("label_%d", i)) metric[l] = v } for i := 0; i < numberOfUnsharedLabels; i++ { l := model.LabelName(fmt.Sprintf("metric_index_%d_private_label_%d", metricIndex, i)) v := model.LabelValue(fmt.Sprintf("private_label_%d", i)) metric[l] = v } for i := 0; i < numberOfRangeScans; i++ { timestamps := metricTimestamps[metricIndex] var first int64 = 0 var second int64 = 0 for { firstCandidate := random.Int63n(int64(len(timestamps))) secondCandidate := random.Int63n(int64(len(timestamps))) smallest := int64(-1) largest := int64(-1) if firstCandidate == secondCandidate { continue } else if firstCandidate > secondCandidate { largest = firstCandidate smallest = secondCandidate } else { largest = secondCandidate smallest = firstCandidate } j := int64(0) for i := range timestamps { if j == smallest { first = i } else if j == largest { second = i break } j++ } break } begin := first end := second if second < first { begin, end = second, first } interval := model.Interval{ OldestInclusive: time.Unix(begin, 0), NewestInclusive: time.Unix(end, 0), } rangeValues, rangeErr := persistence.GetSamplesForMetric(metric, interval) if rangeErr != nil { return false } if len(rangeValues) < 2 { return false } } } fmt.Printf("Duration %q\n", time.Now().Sub(s)) return true } if stochasticError := quick.Check(stochastic, nil); stochasticError != nil { t.Error(stochasticError) } } func TestGetFingerprintsForLabelSet(t *testing.T) { temporaryDirectory, _ := ioutil.TempDir("", "leveldb_metric_persistence_test") defer func() { if removeAllErr := os.RemoveAll(temporaryDirectory); removeAllErr != nil { t.Errorf("Could not remove temporary directory: %q\n", removeAllErr) } }() persistence, _ := NewLevelDBMetricPersistence(temporaryDirectory) defer func() { persistence.Close() }() appendErr := persistence.AppendSample(model.Sample{ Value: model.SampleValue(0), Timestamp: time.Unix(0, 0), Metric: model.Metric{ "name": "my_metric", "request_type": "your_mom", }, }) if appendErr != nil { t.Error(appendErr) } appendErr = persistence.AppendSample(model.Sample{ Value: model.SampleValue(0), Timestamp: time.Unix(int64(0), 0), Metric: model.Metric{ "name": "my_metric", "request_type": "your_dad", }, }) if appendErr != nil { t.Error(appendErr) } result, getErr := persistence.GetFingerprintsForLabelSet(model.LabelSet{ model.LabelName("name"): model.LabelValue("my_metric"), }) if getErr != nil { t.Error(getErr) } if len(result) != 2 { t.Errorf("Expected two elements.") } result, getErr = persistence.GetFingerprintsForLabelSet(model.LabelSet{ model.LabelName("request_type"): model.LabelValue("your_mom"), }) if getErr != nil { t.Error(getErr) } if len(result) != 1 { t.Errorf("Expected one element.") } result, getErr = persistence.GetFingerprintsForLabelSet(model.LabelSet{ model.LabelName("request_type"): model.LabelValue("your_dad"), }) if getErr != nil { t.Error(getErr) } if len(result) != 1 { t.Errorf("Expected one element.") } } func TestGetFingerprintsForLabelName(t *testing.T) { temporaryDirectory, _ := ioutil.TempDir("", "leveldb_metric_persistence_test") defer func() { if removeAllErr := os.RemoveAll(temporaryDirectory); removeAllErr != nil { t.Errorf("Could not remove temporary directory: %q\n", removeAllErr) } }() persistence, _ := NewLevelDBMetricPersistence(temporaryDirectory) defer func() { persistence.Close() }() appendErr := persistence.AppendSample(model.Sample{ Value: model.SampleValue(0), Timestamp: time.Unix(0, 0), Metric: model.Metric{ "name": "my_metric", "request_type": "your_mom", "language": "english", }, }) if appendErr != nil { t.Error(appendErr) } appendErr = persistence.AppendSample(model.Sample{ Value: model.SampleValue(0), Timestamp: time.Unix(int64(0), 0), Metric: model.Metric{ "name": "my_metric", "request_type": "your_dad", "sprache": "deutsch", }, }) if appendErr != nil { t.Error(appendErr) } b := model.LabelName("name") result, getErr := persistence.GetFingerprintsForLabelName(b) if getErr != nil { t.Error(getErr) } if len(result) != 2 { t.Errorf("Expected two elements.") } b = model.LabelName("request_type") result, getErr = persistence.GetFingerprintsForLabelName(b) if getErr != nil { t.Error(getErr) } if len(result) != 2 { t.Errorf("Expected two elements.") } b = model.LabelName("language") result, getErr = persistence.GetFingerprintsForLabelName(b) if getErr != nil { t.Error(getErr) } if len(result) != 1 { t.Errorf("Expected one element.") } b = model.LabelName("sprache") result, getErr = persistence.GetFingerprintsForLabelName(b) if getErr != nil { t.Error(getErr) } if len(result) != 1 { t.Errorf("Expected one element.") } } func TestGetMetricForFingerprint(t *testing.T) { temporaryDirectory, _ := ioutil.TempDir("", "leveldb_metric_persistence_test") defer func() { if removeAllErr := os.RemoveAll(temporaryDirectory); removeAllErr != nil { t.Errorf("Could not remove temporary directory: %q\n", removeAllErr) } }() persistence, _ := NewLevelDBMetricPersistence(temporaryDirectory) defer func() { persistence.Close() }() appendErr := persistence.AppendSample(model.Sample{ Value: model.SampleValue(0), Timestamp: time.Unix(0, 0), Metric: model.Metric{ "request_type": "your_mom", }, }) if appendErr != nil { t.Error(appendErr) } appendErr = persistence.AppendSample(model.Sample{ Value: model.SampleValue(0), Timestamp: time.Unix(int64(0), 0), Metric: model.Metric{ "request_type": "your_dad", "one-off": "value", }, }) if appendErr != nil { t.Error(appendErr) } result, getErr := persistence.GetFingerprintsForLabelSet(model.LabelSet{ model.LabelName("request_type"): model.LabelValue("your_mom"), }) if getErr != nil { t.Error(getErr) } if len(result) != 1 { t.Errorf("Expected one element.") } v, e := persistence.GetMetricForFingerprint(*result[0]) if e != nil { t.Error(e) } if len(*v) != 1 { t.Errorf("Expected one-dimensional metric.") } if (*v)["request_type"] != "your_mom" { t.Errorf("Expected metric to match.") } result, getErr = persistence.GetFingerprintsForLabelSet(model.LabelSet{ model.LabelName("request_type"): model.LabelValue("your_dad"), }) if getErr != nil { t.Error(getErr) } if len(result) != 1 { t.Errorf("Expected one element.") } v, e = persistence.GetMetricForFingerprint(*result[0]) if e != nil { t.Error(e) } if len(*v) != 2 { t.Errorf("Expected one-dimensional metric.") } if (*v)["request_type"] != "your_dad" { t.Errorf("Expected metric to match.") } if (*v)["one-off"] != "value" { t.Errorf("Expected metric to match.") } }