func AppendRepeatingValuesTests(p metric.Persistence, t test.Tester) {
m := clientmodel.Metric{
clientmodel.MetricNameLabel: "errors_total",
"controller": "foo",
"operation": "bar",
}
increments := 10
repetitions := 500
for i := 0; i < increments; i++ {
for j := 0; j < repetitions; j++ {
time := clientmodel.Timestamp(0).Add(time.Duration(i) * time.Hour).Add(time.Duration(j) * time.Second)
testAppendSamples(p, &clientmodel.Sample{
Value: clientmodel.SampleValue(i),
Timestamp: time,
Metric: m,
}, t)
}
}
v, ok := p.(metric.View)
if !ok {
// It's purely a benchmark for a Persistence that is not viewable.
return
}
matchers := labelMatchersFromLabelSet(clientmodel.LabelSet{
clientmodel.MetricNameLabel: "errors_total",
"controller": "foo",
"operation": "bar",
})
for i := 0; i < increments; i++ {
for j := 0; j < repetitions; j++ {
fingerprints, err := p.GetFingerprintsForLabelMatchers(matchers)
if err != nil {
t.Fatal(err)
}
if len(fingerprints) != 1 {
t.Fatalf("expected %d fingerprints, got %d", 1, len(fingerprints))
}
time := clientmodel.Timestamp(0).Add(time.Duration(i) * time.Hour).Add(time.Duration(j) * time.Second)
samples := v.GetValueAtTime(fingerprints[0], time)
if len(samples) == 0 {
t.Fatal("expected at least one sample.")
}
expected := clientmodel.SampleValue(i)
for _, sample := range samples {
if sample.Value != expected {
t.Fatalf("expected %v value, got %v", expected, sample.Value)
}
}
}
}
}
func newTestStorage(t test.Tester) (storage *tiered.TieredStorage, closer test.Closer) {
storage, closer = NewTestTieredStorage(t)
if storage == nil {
t.Fatal("storage == nil")
}
storeMatrix(storage, testMatrix)
return
}
func AppendRepeatingValuesTests(p MetricPersistence, t test.Tester) {
metric := model.Metric{
model.MetricNameLabel: "errors_total",
"controller": "foo",
"operation": "bar",
}
increments := 10
repetitions := 500
for i := 0; i < increments; i++ {
for j := 0; j < repetitions; j++ {
time := time.Time{}.Add(time.Duration(i) * time.Hour).Add(time.Duration(j) * time.Second)
testAppendSample(p, model.Sample{
Value: model.SampleValue(i),
Timestamp: time,
Metric: metric,
}, t)
}
}
if true {
// XXX: Purely a benchmark.
return
}
labelSet := model.LabelSet{
model.MetricNameLabel: "errors_total",
"controller": "foo",
"operation": "bar",
}
for i := 0; i < increments; i++ {
for j := 0; j < repetitions; j++ {
fingerprints, err := p.GetFingerprintsForLabelSet(labelSet)
if err != nil {
t.Fatal(err)
}
if len(fingerprints) != 1 {
t.Fatalf("expected %d fingerprints, got %d", 1, len(fingerprints))
}
time := time.Time{}.Add(time.Duration(i) * time.Hour).Add(time.Duration(j) * time.Second)
sample, err := p.GetValueAtTime(fingerprints[0], time, StalenessPolicy{})
if err != nil {
t.Fatal(err)
}
if sample == nil {
t.Fatal("expected non-nil sample.")
}
expected := model.SampleValue(i)
if sample.Value != expected {
t.Fatalf("expected %d value, got %d", expected, sample.Value)
}
}
}
}
func GetMetricForFingerprintTests(p metric.Persistence, t test.Tester) {
testAppendSamples(p, &clientmodel.Sample{
Value: 0,
Timestamp: 0,
Metric: clientmodel.Metric{
"request_type": "your_mom",
},
}, t)
testAppendSamples(p, &clientmodel.Sample{
Value: 0,
Timestamp: 0,
Metric: clientmodel.Metric{
"request_type": "your_dad",
"one-off": "value",
},
}, t)
result, err := p.GetFingerprintsForLabelMatchers(metric.LabelMatchers{{
Type: metric.Equal,
Name: "request_type",
Value: "your_mom",
}})
if err != nil {
t.Error(err)
}
if len(result) != 1 {
t.Errorf("Expected one element.")
}
m, err := p.GetMetricForFingerprint(result[0])
if err != nil {
t.Error(err)
}
if m == nil {
t.Fatal("Did not expect nil.")
}
if len(m) != 1 {
t.Errorf("Expected one-dimensional metric.")
}
if m["request_type"] != "your_mom" {
t.Errorf("Expected metric to match.")
}
result, err = p.GetFingerprintsForLabelMatchers(metric.LabelMatchers{{
Type: metric.Equal,
Name: "request_type",
Value: "your_dad",
}})
if err != nil {
t.Error(err)
}
if len(result) != 1 {
t.Errorf("Expected one element.")
}
m, err = p.GetMetricForFingerprint(result[0])
if m == nil {
t.Fatal("Did not expect nil.")
}
if err != nil {
t.Error(err)
}
if len(m) != 2 {
t.Errorf("Expected two-dimensional metric.")
}
if m["request_type"] != "your_dad" {
t.Errorf("Expected metric to match.")
}
if m["one-off"] != "value" {
t.Errorf("Expected metric to match.")
}
// Verify that mutating a returned metric does not result in the mutated
// metric to be returned at the next GetMetricForFingerprint() call.
m["one-off"] = "new value"
m, err = p.GetMetricForFingerprint(result[0])
if m == nil {
t.Fatal("Did not expect nil.")
}
if err != nil {
t.Error(err)
}
if len(m) != 2 {
t.Errorf("Expected two-dimensional metric.")
}
if m["request_type"] != "your_dad" {
t.Errorf("Expected metric to match.")
}
if m["one-off"] != "value" {
t.Errorf("Expected metric to match.")
}
}
func GetMetricForFingerprintTests(p MetricPersistence, t test.Tester) {
testAppendSample(p, model.Sample{
Value: 0,
Timestamp: time.Time{},
Metric: model.Metric{
"request_type": "your_mom",
},
}, t)
testAppendSample(p, model.Sample{
Value: 0,
Timestamp: time.Time{},
Metric: model.Metric{
"request_type": "your_dad",
"one-off": "value",
},
}, t)
result, err := p.GetFingerprintsForLabelSet(model.LabelSet{
model.LabelName("request_type"): model.LabelValue("your_mom"),
})
if err != nil {
t.Error(err)
}
if len(result) != 1 {
t.Errorf("Expected one element.")
}
v, e := p.GetMetricForFingerprint(result[0])
if e != nil {
t.Error(e)
}
if v == nil {
t.Fatal("Did not expect nil.")
}
metric := *v
if len(metric) != 1 {
t.Errorf("Expected one-dimensional metric.")
}
if metric["request_type"] != "your_mom" {
t.Errorf("Expected metric to match.")
}
result, err = p.GetFingerprintsForLabelSet(model.LabelSet{
model.LabelName("request_type"): model.LabelValue("your_dad"),
})
if err != nil {
t.Error(err)
}
if len(result) != 1 {
t.Errorf("Expected one element.")
}
v, e = p.GetMetricForFingerprint(result[0])
if v == nil {
t.Fatal("Did not expect nil.")
}
metric = *v
if e != nil {
t.Error(e)
}
if len(metric) != 2 {
t.Errorf("Expected one-dimensional metric.")
}
if metric["request_type"] != "your_dad" {
t.Errorf("Expected metric to match.")
}
if metric["one-off"] != "value" {
t.Errorf("Expected metric to match.")
}
}
func testAppendSample(p MetricPersistence, s model.Sample, t test.Tester) {
err := p.AppendSample(s)
if err != nil {
t.Fatal(err)
}
}
func StochasticTests(persistenceMaker func() (metric.Persistence, 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, clientmodel.TimestampFromUnix(nextTimestamp()))
}
sort.Sort(sortedTimestamps)
for sampleIndex := 0; sampleIndex < numberOfSamples; sampleIndex++ {
sample.Timestamp = sortedTimestamps[sampleIndex]
sample.Value = clientmodel.SampleValue(sampleIndex)
err := p.AppendSamples(clientmodel.Samples{sample})
if err != nil {
t.Error(err)
return
}
}
metricEarliestSample[metricIndex] = oldestSample
metricNewestSample[metricIndex] = newestSample
for sharedLabelIndex := 0; sharedLabelIndex < numberOfSharedLabels; sharedLabelIndex++ {
matchers := metric.LabelMatchers{{
Type: metric.Equal,
Name: clientmodel.LabelName(fmt.Sprintf("shared_label_%d", sharedLabelIndex)),
Value: clientmodel.LabelValue(fmt.Sprintf("label_%d", sharedLabelIndex)),
}}
fingerprints, err := p.GetFingerprintsForLabelMatchers(matchers)
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 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))
matchers := metric.LabelMatchers{{
Type: metric.Equal,
Name: labelName,
Value: labelValue,
}}
fingerprints, err := p.GetFingerprintsForLabelMatchers(matchers)
if err != nil {
t.Error(err)
return
}
if len(fingerprints) != 1 {
t.Errorf("expected fingerprint count of %d, got %d", 1, len(fingerprints))
return
}
}
m := clientmodel.Metric{}
m[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))
m[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))
m[l] = v
}
for i := 0; i < numberOfRangeScans; i++ {
timestamps := metricTimestamps[metricIndex]
var first int64
var second int64
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 := metric.Interval{
OldestInclusive: clientmodel.TimestampFromUnix(begin),
NewestInclusive: clientmodel.TimestampFromUnix(end),
}
samples := metric.Values{}
fp := &clientmodel.Fingerprint{}
fp.LoadFromMetric(m)
switch persistence := p.(type) {
case metric.View:
samples = persistence.GetRangeValues(fp, interval)
if len(samples) < 2 {
t.Fatalf("expected sample count greater than %d, got %d", 2, len(samples))
}
case *LevelDBPersistence:
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:
t.Error("Unexpected type of metric.Persistence.")
}
}
}
return true
}
if err := quick.Check(stochastic, nil); err != nil {
t.Error(err)
}
}
func testAppendSamples(p metric.Persistence, s *clientmodel.Sample, t test.Tester) {
err := p.AppendSamples(clientmodel.Samples{s})
if err != nil {
t.Fatal(err)
}
}
