mirror of
https://github.com/prometheus/prometheus.git
synced 2024-11-10 15:44:05 -08:00
666 lines
17 KiB
Go
666 lines
17 KiB
Go
// 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 metric
|
|
|
|
import (
|
|
"fmt"
|
|
"math"
|
|
"math/rand"
|
|
"sort"
|
|
"testing"
|
|
"testing/quick"
|
|
"time"
|
|
|
|
clientmodel "github.com/prometheus/client_golang/model"
|
|
|
|
dto "github.com/prometheus/prometheus/model/generated"
|
|
|
|
"github.com/prometheus/prometheus/coding"
|
|
"github.com/prometheus/prometheus/coding/indexable"
|
|
"github.com/prometheus/prometheus/utility/test"
|
|
)
|
|
|
|
const stochasticMaximumVariance = 8
|
|
|
|
func BasicLifecycleTests(p MetricPersistence, t test.Tester) {
|
|
if p == nil {
|
|
t.Errorf("Received nil Metric Persistence.\n")
|
|
return
|
|
}
|
|
}
|
|
|
|
func ReadEmptyTests(p MetricPersistence, t test.Tester) {
|
|
hasLabelPair := func(x int) (success bool) {
|
|
name := clientmodel.LabelName(string(x))
|
|
value := clientmodel.LabelValue(string(x))
|
|
|
|
labelSet := clientmodel.LabelSet{
|
|
name: value,
|
|
}
|
|
|
|
fingerprints, err := p.GetFingerprintsForLabelSet(labelSet)
|
|
if err != nil {
|
|
t.Error(err)
|
|
return
|
|
}
|
|
|
|
success = len(fingerprints) == 0
|
|
if !success {
|
|
t.Errorf("unexpected fingerprint length %d, got %d", 0, len(fingerprints))
|
|
}
|
|
|
|
return
|
|
}
|
|
|
|
err := quick.Check(hasLabelPair, nil)
|
|
if err != nil {
|
|
t.Error(err)
|
|
return
|
|
}
|
|
|
|
hasLabelName := func(x int) (success bool) {
|
|
labelName := clientmodel.LabelName(string(x))
|
|
|
|
fingerprints, err := p.GetFingerprintsForLabelName(labelName)
|
|
if err != nil {
|
|
t.Error(err)
|
|
return
|
|
}
|
|
|
|
success = len(fingerprints) == 0
|
|
if !success {
|
|
t.Errorf("unexpected fingerprint length %d, got %d", 0, len(fingerprints))
|
|
}
|
|
|
|
return
|
|
}
|
|
|
|
err = quick.Check(hasLabelName, nil)
|
|
if err != nil {
|
|
t.Error(err)
|
|
return
|
|
}
|
|
}
|
|
|
|
func AppendSampleAsPureSparseAppendTests(p MetricPersistence, t test.Tester) {
|
|
appendSample := func(x int) (success bool) {
|
|
v := clientmodel.SampleValue(x)
|
|
ts := time.Unix(int64(x), int64(x))
|
|
labelName := clientmodel.LabelName(x)
|
|
labelValue := clientmodel.LabelValue(x)
|
|
l := clientmodel.Metric{labelName: labelValue}
|
|
|
|
sample := &clientmodel.Sample{
|
|
Value: v,
|
|
Timestamp: ts,
|
|
Metric: l,
|
|
}
|
|
|
|
err := p.AppendSample(sample)
|
|
|
|
success = err == nil
|
|
if !success {
|
|
t.Error(err)
|
|
}
|
|
|
|
return
|
|
}
|
|
|
|
if err := quick.Check(appendSample, nil); err != nil {
|
|
t.Error(err)
|
|
}
|
|
}
|
|
|
|
func AppendSampleAsSparseAppendWithReadsTests(p MetricPersistence, t test.Tester) {
|
|
appendSample := func(x int) (success bool) {
|
|
v := clientmodel.SampleValue(x)
|
|
ts := time.Unix(int64(x), int64(x))
|
|
labelName := clientmodel.LabelName(x)
|
|
labelValue := clientmodel.LabelValue(x)
|
|
l := clientmodel.Metric{labelName: labelValue}
|
|
|
|
sample := &clientmodel.Sample{
|
|
Value: v,
|
|
Timestamp: ts,
|
|
Metric: l,
|
|
}
|
|
|
|
err := p.AppendSample(sample)
|
|
if err != nil {
|
|
t.Error(err)
|
|
return
|
|
}
|
|
|
|
fingerprints, err := p.GetFingerprintsForLabelName(labelName)
|
|
if err != nil {
|
|
t.Error(err)
|
|
return
|
|
}
|
|
if len(fingerprints) != 1 {
|
|
t.Errorf("expected fingerprint count of %d, got %d", 1, len(fingerprints))
|
|
return
|
|
}
|
|
|
|
fingerprints, err = p.GetFingerprintsForLabelSet(clientmodel.LabelSet{
|
|
labelName: labelValue,
|
|
})
|
|
if err != nil {
|
|
t.Error(err)
|
|
return
|
|
}
|
|
if len(fingerprints) != 1 {
|
|
t.Errorf("expected fingerprint count of %d, got %d", 1, len(fingerprints))
|
|
return
|
|
}
|
|
|
|
return true
|
|
}
|
|
|
|
if err := quick.Check(appendSample, nil); err != nil {
|
|
t.Error(err)
|
|
}
|
|
}
|
|
|
|
func AppendSampleAsPureSingleEntityAppendTests(p MetricPersistence, t test.Tester) {
|
|
appendSample := func(x int) bool {
|
|
sample := &clientmodel.Sample{
|
|
Value: clientmodel.SampleValue(x),
|
|
Timestamp: time.Unix(int64(x), 0),
|
|
Metric: clientmodel.Metric{clientmodel.MetricNameLabel: "my_metric"},
|
|
}
|
|
|
|
err := p.AppendSample(sample)
|
|
|
|
return err == nil
|
|
}
|
|
|
|
if err := quick.Check(appendSample, nil); err != nil {
|
|
t.Error(err)
|
|
}
|
|
}
|
|
|
|
func levelDBGetRangeValues(l *LevelDBMetricPersistence, fp *clientmodel.Fingerprint, i Interval) (samples Values, err error) {
|
|
fpDto := &dto.Fingerprint{}
|
|
dumpFingerprint(fpDto, fp)
|
|
k := &dto.SampleKey{
|
|
Fingerprint: fpDto,
|
|
Timestamp: indexable.EncodeTime(i.OldestInclusive),
|
|
}
|
|
|
|
e := coding.NewPBEncoder(k).MustEncode()
|
|
|
|
iterator := l.MetricSamples.NewIterator(true)
|
|
defer iterator.Close()
|
|
|
|
for valid := iterator.Seek(e); valid; valid = iterator.Next() {
|
|
retrievedKey, err := extractSampleKey(iterator)
|
|
if err != nil {
|
|
return samples, err
|
|
}
|
|
|
|
if retrievedKey.FirstTimestamp.After(i.NewestInclusive) {
|
|
break
|
|
}
|
|
|
|
if !retrievedKey.Fingerprint.Equal(fp) {
|
|
break
|
|
}
|
|
|
|
retrievedValues, err := extractSampleValues(iterator)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
samples = append(samples, retrievedValues...)
|
|
}
|
|
|
|
return
|
|
}
|
|
|
|
type timeslice []time.Time
|
|
|
|
func (t timeslice) Len() int {
|
|
return len(t)
|
|
}
|
|
|
|
func (t timeslice) Swap(i, j int) {
|
|
t[i], t[j] = t[j], t[i]
|
|
}
|
|
|
|
func (t timeslice) Less(i, j int) bool {
|
|
return t[i].Before(t[j])
|
|
}
|
|
|
|
func StochasticTests(persistenceMaker func() (MetricPersistence, test.Closer), t test.Tester) {
|
|
stochastic := func(x int) (success bool) {
|
|
p, closer := persistenceMaker()
|
|
defer closer.Close()
|
|
defer p.Close()
|
|
|
|
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)
|
|
|
|
metricTimestamps := map[int]map[int64]bool{}
|
|
metricEarliestSample := map[int]int64{}
|
|
metricNewestSample := map[int]int64{}
|
|
|
|
for metricIndex := 0; metricIndex < numberOfMetrics; metricIndex++ {
|
|
sample := &clientmodel.Sample{
|
|
Metric: clientmodel.Metric{},
|
|
}
|
|
|
|
v := clientmodel.LabelValue(fmt.Sprintf("metric_index_%d", metricIndex))
|
|
sample.Metric[clientmodel.MetricNameLabel] = v
|
|
|
|
for sharedLabelIndex := 0; sharedLabelIndex < numberOfSharedLabels; sharedLabelIndex++ {
|
|
l := clientmodel.LabelName(fmt.Sprintf("shared_label_%d", sharedLabelIndex))
|
|
v := clientmodel.LabelValue(fmt.Sprintf("label_%d", sharedLabelIndex))
|
|
|
|
sample.Metric[l] = v
|
|
}
|
|
|
|
for unsharedLabelIndex := 0; unsharedLabelIndex < numberOfUnsharedLabels; unsharedLabelIndex++ {
|
|
l := clientmodel.LabelName(fmt.Sprintf("metric_index_%d_private_label_%d", metricIndex, unsharedLabelIndex))
|
|
v := clientmodel.LabelValue(fmt.Sprintf("private_label_%d", unsharedLabelIndex))
|
|
|
|
sample.Metric[l] = v
|
|
}
|
|
|
|
timestamps := 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 {
|
|
// WART
|
|
candidate = nextTimestamp()
|
|
}
|
|
|
|
timestamps[candidate] = true
|
|
|
|
if candidate < oldestSample {
|
|
oldestSample = candidate
|
|
}
|
|
|
|
if candidate > newestSample {
|
|
newestSample = candidate
|
|
}
|
|
|
|
return candidate
|
|
}
|
|
|
|
// BUG(matt): Invariant of the in-memory database assumes this.
|
|
sortedTimestamps := timeslice{}
|
|
for sampleIndex := 0; sampleIndex < numberOfSamples; sampleIndex++ {
|
|
sortedTimestamps = append(sortedTimestamps, time.Unix(nextTimestamp(), 0))
|
|
}
|
|
sort.Sort(sortedTimestamps)
|
|
|
|
for sampleIndex := 0; sampleIndex < numberOfSamples; sampleIndex++ {
|
|
sample.Timestamp = sortedTimestamps[sampleIndex]
|
|
sample.Value = clientmodel.SampleValue(sampleIndex)
|
|
|
|
err := p.AppendSample(sample)
|
|
|
|
if err != nil {
|
|
t.Error(err)
|
|
return
|
|
}
|
|
}
|
|
|
|
metricEarliestSample[metricIndex] = oldestSample
|
|
metricNewestSample[metricIndex] = newestSample
|
|
|
|
for sharedLabelIndex := 0; sharedLabelIndex < numberOfSharedLabels; sharedLabelIndex++ {
|
|
labelPair := clientmodel.LabelSet{
|
|
clientmodel.LabelName(fmt.Sprintf("shared_label_%d", sharedLabelIndex)): clientmodel.LabelValue(fmt.Sprintf("label_%d", sharedLabelIndex)),
|
|
}
|
|
|
|
fingerprints, err := p.GetFingerprintsForLabelSet(labelPair)
|
|
if err != nil {
|
|
t.Error(err)
|
|
return
|
|
}
|
|
if len(fingerprints) == 0 {
|
|
t.Errorf("expected fingerprint count of %d, got %d", 0, len(fingerprints))
|
|
return
|
|
}
|
|
|
|
labelName := clientmodel.LabelName(fmt.Sprintf("shared_label_%d", sharedLabelIndex))
|
|
fingerprints, err = p.GetFingerprintsForLabelName(labelName)
|
|
if err != nil {
|
|
t.Error(err)
|
|
return
|
|
}
|
|
if len(fingerprints) == 0 {
|
|
t.Errorf("expected fingerprint count of %d, got %d", 0, len(fingerprints))
|
|
return
|
|
}
|
|
}
|
|
}
|
|
|
|
for sharedIndex := 0; sharedIndex < numberOfSharedLabels; sharedIndex++ {
|
|
labelName := clientmodel.LabelName(fmt.Sprintf("shared_label_%d", sharedIndex))
|
|
fingerprints, err := p.GetFingerprintsForLabelName(labelName)
|
|
if err != nil {
|
|
t.Error(err)
|
|
return
|
|
}
|
|
|
|
if len(fingerprints) != numberOfMetrics {
|
|
t.Errorf("expected fingerprint count of %d, got %d", numberOfMetrics, len(fingerprints))
|
|
return
|
|
}
|
|
}
|
|
|
|
for metricIndex := 0; metricIndex < numberOfMetrics; metricIndex++ {
|
|
for unsharedLabelIndex := 0; unsharedLabelIndex < numberOfUnsharedLabels; unsharedLabelIndex++ {
|
|
labelName := clientmodel.LabelName(fmt.Sprintf("metric_index_%d_private_label_%d", metricIndex, unsharedLabelIndex))
|
|
labelValue := clientmodel.LabelValue(fmt.Sprintf("private_label_%d", unsharedLabelIndex))
|
|
labelSet := clientmodel.LabelSet{
|
|
labelName: labelValue,
|
|
}
|
|
|
|
fingerprints, err := p.GetFingerprintsForLabelSet(labelSet)
|
|
if err != nil {
|
|
t.Error(err)
|
|
return
|
|
}
|
|
if len(fingerprints) != 1 {
|
|
t.Errorf("expected fingerprint count of %d, got %d", 1, len(fingerprints))
|
|
return
|
|
}
|
|
|
|
fingerprints, err = p.GetFingerprintsForLabelName(labelName)
|
|
if err != nil {
|
|
t.Error(err)
|
|
return
|
|
}
|
|
if len(fingerprints) != 1 {
|
|
t.Errorf("expected fingerprint count of %d, got %d", 1, len(fingerprints))
|
|
return
|
|
}
|
|
}
|
|
|
|
metric := clientmodel.Metric{}
|
|
metric[clientmodel.MetricNameLabel] = clientmodel.LabelValue(fmt.Sprintf("metric_index_%d", metricIndex))
|
|
|
|
for i := 0; i < numberOfSharedLabels; i++ {
|
|
l := clientmodel.LabelName(fmt.Sprintf("shared_label_%d", i))
|
|
v := clientmodel.LabelValue(fmt.Sprintf("label_%d", i))
|
|
|
|
metric[l] = v
|
|
}
|
|
|
|
for i := 0; i < numberOfUnsharedLabels; i++ {
|
|
l := clientmodel.LabelName(fmt.Sprintf("metric_index_%d_private_label_%d", metricIndex, i))
|
|
v := clientmodel.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 := Interval{
|
|
OldestInclusive: time.Unix(begin, 0),
|
|
NewestInclusive: time.Unix(end, 0),
|
|
}
|
|
|
|
samples := Values{}
|
|
fp := &clientmodel.Fingerprint{}
|
|
fp.LoadFromMetric(metric)
|
|
switch persistence := p.(type) {
|
|
case *LevelDBMetricPersistence:
|
|
var err error
|
|
samples, err = levelDBGetRangeValues(persistence, fp, interval)
|
|
if err != nil {
|
|
t.Fatal(err)
|
|
}
|
|
if len(samples) < 2 {
|
|
t.Fatalf("expected sample count greater than %d, got %d", 2, len(samples))
|
|
}
|
|
default:
|
|
samples = p.GetRangeValues(fp, interval)
|
|
if len(samples) < 2 {
|
|
t.Fatalf("expected sample count greater than %d, got %d", 2, len(samples))
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
return true
|
|
}
|
|
|
|
if err := quick.Check(stochastic, nil); err != nil {
|
|
t.Error(err)
|
|
}
|
|
}
|
|
|
|
// Test Definitions Follow
|
|
|
|
var testLevelDBBasicLifecycle = buildLevelDBTestPersistence("basic_lifecycle", BasicLifecycleTests)
|
|
|
|
func TestLevelDBBasicLifecycle(t *testing.T) {
|
|
testLevelDBBasicLifecycle(t)
|
|
}
|
|
|
|
func BenchmarkLevelDBBasicLifecycle(b *testing.B) {
|
|
for i := 0; i < b.N; i++ {
|
|
testLevelDBBasicLifecycle(b)
|
|
}
|
|
}
|
|
|
|
var testLevelDBReadEmpty = buildLevelDBTestPersistence("read_empty", ReadEmptyTests)
|
|
|
|
func TestLevelDBReadEmpty(t *testing.T) {
|
|
testLevelDBReadEmpty(t)
|
|
}
|
|
|
|
func BenchmarkLevelDBReadEmpty(b *testing.B) {
|
|
for i := 0; i < b.N; i++ {
|
|
testLevelDBReadEmpty(b)
|
|
}
|
|
}
|
|
|
|
var testLevelDBAppendSampleAsPureSparseAppend = buildLevelDBTestPersistence("append_sample_as_pure_sparse_append", AppendSampleAsPureSparseAppendTests)
|
|
|
|
func TestLevelDBAppendSampleAsPureSparseAppend(t *testing.T) {
|
|
testLevelDBAppendSampleAsPureSparseAppend(t)
|
|
}
|
|
|
|
func BenchmarkLevelDBAppendSampleAsPureSparseAppend(b *testing.B) {
|
|
for i := 0; i < b.N; i++ {
|
|
testLevelDBAppendSampleAsPureSparseAppend(b)
|
|
}
|
|
}
|
|
|
|
var testLevelDBAppendSampleAsSparseAppendWithReads = buildLevelDBTestPersistence("append_sample_as_sparse_append_with_reads", AppendSampleAsSparseAppendWithReadsTests)
|
|
|
|
func TestLevelDBAppendSampleAsSparseAppendWithReads(t *testing.T) {
|
|
testLevelDBAppendSampleAsSparseAppendWithReads(t)
|
|
}
|
|
|
|
func BenchmarkLevelDBAppendSampleAsSparseAppendWithReads(b *testing.B) {
|
|
for i := 0; i < b.N; i++ {
|
|
testLevelDBAppendSampleAsSparseAppendWithReads(b)
|
|
}
|
|
}
|
|
|
|
var testLevelDBAppendSampleAsPureSingleEntityAppend = buildLevelDBTestPersistence("append_sample_as_pure_single_entity_append", AppendSampleAsPureSingleEntityAppendTests)
|
|
|
|
func TestLevelDBAppendSampleAsPureSingleEntityAppend(t *testing.T) {
|
|
testLevelDBAppendSampleAsPureSingleEntityAppend(t)
|
|
}
|
|
|
|
func BenchmarkLevelDBAppendSampleAsPureSingleEntityAppend(b *testing.B) {
|
|
for i := 0; i < b.N; i++ {
|
|
testLevelDBAppendSampleAsPureSingleEntityAppend(b)
|
|
}
|
|
}
|
|
|
|
func testLevelDBStochastic(t test.Tester) {
|
|
persistenceMaker := func() (MetricPersistence, test.Closer) {
|
|
temporaryDirectory := test.NewTemporaryDirectory("test_leveldb_stochastic", t)
|
|
|
|
p, err := NewLevelDBMetricPersistence(temporaryDirectory.Path())
|
|
if err != nil {
|
|
t.Errorf("Could not start up LevelDB: %q\n", err)
|
|
}
|
|
|
|
return p, temporaryDirectory
|
|
}
|
|
|
|
StochasticTests(persistenceMaker, t)
|
|
}
|
|
|
|
func TestLevelDBStochastic(t *testing.T) {
|
|
testLevelDBStochastic(t)
|
|
}
|
|
|
|
func BenchmarkLevelDBStochastic(b *testing.B) {
|
|
for i := 0; i < b.N; i++ {
|
|
testLevelDBStochastic(b)
|
|
}
|
|
}
|
|
|
|
var testMemoryBasicLifecycle = buildMemoryTestPersistence(BasicLifecycleTests)
|
|
|
|
func TestMemoryBasicLifecycle(t *testing.T) {
|
|
testMemoryBasicLifecycle(t)
|
|
}
|
|
|
|
func BenchmarkMemoryBasicLifecycle(b *testing.B) {
|
|
for i := 0; i < b.N; i++ {
|
|
testMemoryBasicLifecycle(b)
|
|
}
|
|
}
|
|
|
|
var testMemoryReadEmpty = buildMemoryTestPersistence(ReadEmptyTests)
|
|
|
|
func TestMemoryReadEmpty(t *testing.T) {
|
|
testMemoryReadEmpty(t)
|
|
}
|
|
|
|
func BenchmarkMemoryReadEmpty(b *testing.B) {
|
|
for i := 0; i < b.N; i++ {
|
|
testMemoryReadEmpty(b)
|
|
}
|
|
}
|
|
|
|
var testMemoryAppendSampleAsPureSparseAppend = buildMemoryTestPersistence(AppendSampleAsPureSparseAppendTests)
|
|
|
|
func TestMemoryAppendSampleAsPureSparseAppend(t *testing.T) {
|
|
testMemoryAppendSampleAsPureSparseAppend(t)
|
|
}
|
|
|
|
func BenchmarkMemoryAppendSampleAsPureSparseAppend(b *testing.B) {
|
|
for i := 0; i < b.N; i++ {
|
|
testMemoryAppendSampleAsPureSparseAppend(b)
|
|
}
|
|
}
|
|
|
|
var testMemoryAppendSampleAsSparseAppendWithReads = buildMemoryTestPersistence(AppendSampleAsSparseAppendWithReadsTests)
|
|
|
|
func TestMemoryAppendSampleAsSparseAppendWithReads(t *testing.T) {
|
|
testMemoryAppendSampleAsSparseAppendWithReads(t)
|
|
}
|
|
|
|
func BenchmarkMemoryAppendSampleAsSparseAppendWithReads(b *testing.B) {
|
|
for i := 0; i < b.N; i++ {
|
|
testMemoryAppendSampleAsSparseAppendWithReads(b)
|
|
}
|
|
}
|
|
|
|
var testMemoryAppendSampleAsPureSingleEntityAppend = buildMemoryTestPersistence(AppendSampleAsPureSingleEntityAppendTests)
|
|
|
|
func TestMemoryAppendSampleAsPureSingleEntityAppend(t *testing.T) {
|
|
testMemoryAppendSampleAsPureSingleEntityAppend(t)
|
|
}
|
|
|
|
func BenchmarkMemoryAppendSampleAsPureSingleEntityAppend(b *testing.B) {
|
|
for i := 0; i < b.N; i++ {
|
|
testMemoryAppendSampleAsPureSingleEntityAppend(b)
|
|
}
|
|
}
|
|
|
|
func testMemoryStochastic(t test.Tester) {
|
|
persistenceMaker := func() (MetricPersistence, test.Closer) {
|
|
return NewMemorySeriesStorage(MemorySeriesOptions{}), test.NilCloser
|
|
}
|
|
|
|
StochasticTests(persistenceMaker, t)
|
|
}
|
|
|
|
func TestMemoryStochastic(t *testing.T) {
|
|
testMemoryStochastic(t)
|
|
}
|
|
|
|
func BenchmarkMemoryStochastic(b *testing.B) {
|
|
for i := 0; i < b.N; i++ {
|
|
testMemoryStochastic(b)
|
|
}
|
|
}
|