本文整理汇总了Golang中github.com/prometheus/common/model.Metric.FastFingerprint方法的典型用法代码示例。如果您正苦于以下问题:Golang Metric.FastFingerprint方法的具体用法?Golang Metric.FastFingerprint怎么用?Golang Metric.FastFingerprint使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类github.com/prometheus/common/model.Metric
的用法示例。
在下文中一共展示了Metric.FastFingerprint方法的7个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Golang代码示例。
示例1: maybeAddMapping
// maybeAddMapping adds a fingerprint mapping to fpm if the FastFingerprint of m is different from fp.
func maybeAddMapping(fp model.Fingerprint, m model.Metric, fpm fpMappings) {
if rawFP := m.FastFingerprint(); rawFP != fp {
log.Warnf(
"Metric %v with fingerprint %v is mapped from raw fingerprint %v.",
m, fp, rawFP,
)
if mappedFPs, ok := fpm[rawFP]; ok {
mappedFPs[metricToUniqueString(m)] = fp
} else {
fpm[rawFP] = map[string]model.Fingerprint{
metricToUniqueString(m): fp,
}
}
}
}
示例2: TestAppendOutOfOrder
func TestAppendOutOfOrder(t *testing.T) {
s, closer := NewTestStorage(t, 1)
defer closer.Close()
m := model.Metric{
model.MetricNameLabel: "out_of_order",
}
for i, t := range []int{0, 2, 2, 1} {
s.Append(&model.Sample{
Metric: m,
Timestamp: model.Time(t),
Value: model.SampleValue(i),
})
}
fp, err := s.mapper.mapFP(m.FastFingerprint(), m)
if err != nil {
t.Fatal(err)
}
pl := s.NewPreloader()
defer pl.Close()
err = pl.PreloadRange(fp, 0, 2, 5*time.Minute)
if err != nil {
t.Fatalf("Error preloading chunks: %s", err)
}
it := s.NewIterator(fp)
want := []model.SamplePair{
{
Timestamp: 0,
Value: 0,
},
{
Timestamp: 2,
Value: 1,
},
}
got := it.RangeValues(metric.Interval{OldestInclusive: 0, NewestInclusive: 2})
if !reflect.DeepEqual(want, got) {
t.Fatalf("want %v, got %v", want, got)
}
}
示例3: TestDropMetrics
func TestDropMetrics(t *testing.T) {
now := model.Now()
insertStart := now.Add(-2 * time.Hour)
s, closer := NewTestStorage(t, 1)
defer closer.Close()
chunkFileExists := func(fp model.Fingerprint) (bool, error) {
f, err := s.persistence.openChunkFileForReading(fp)
if err == nil {
f.Close()
return true, nil
}
if os.IsNotExist(err) {
return false, nil
}
return false, err
}
m1 := model.Metric{model.MetricNameLabel: "test", "n1": "v1"}
m2 := model.Metric{model.MetricNameLabel: "test", "n1": "v2"}
m3 := model.Metric{model.MetricNameLabel: "test", "n1": "v3"}
N := 120000
for j, m := range []model.Metric{m1, m2, m3} {
for i := 0; i < N; i++ {
smpl := &model.Sample{
Metric: m,
Timestamp: insertStart.Add(time.Duration(i) * time.Millisecond), // 1 millisecond intervals.
Value: model.SampleValue(j),
}
s.Append(smpl)
}
}
s.WaitForIndexing()
// Archive m3, but first maintain it so that at least something is written to disk.
fpToBeArchived := m3.FastFingerprint()
s.maintainMemorySeries(fpToBeArchived, 0)
s.fpLocker.Lock(fpToBeArchived)
s.fpToSeries.del(fpToBeArchived)
if err := s.persistence.archiveMetric(
fpToBeArchived, m3, 0, insertStart.Add(time.Duration(N-1)*time.Millisecond),
); err != nil {
t.Error(err)
}
s.fpLocker.Unlock(fpToBeArchived)
fps := s.fingerprintsForLabelPairs(model.LabelPair{Name: model.MetricNameLabel, Value: "test"})
if len(fps) != 3 {
t.Errorf("unexpected number of fingerprints: %d", len(fps))
}
fpList := model.Fingerprints{m1.FastFingerprint(), m2.FastFingerprint(), fpToBeArchived}
s.DropMetricsForFingerprints(fpList[0])
s.WaitForIndexing()
fps2 := s.fingerprintsForLabelPairs(model.LabelPair{
Name: model.MetricNameLabel, Value: "test",
})
if len(fps2) != 2 {
t.Errorf("unexpected number of fingerprints: %d", len(fps2))
}
it := s.NewIterator(fpList[0])
if vals := it.RangeValues(metric.Interval{OldestInclusive: insertStart, NewestInclusive: now}); len(vals) != 0 {
t.Errorf("unexpected number of samples: %d", len(vals))
}
it = s.NewIterator(fpList[1])
if vals := it.RangeValues(metric.Interval{OldestInclusive: insertStart, NewestInclusive: now}); len(vals) != N {
t.Errorf("unexpected number of samples: %d", len(vals))
}
exists, err := chunkFileExists(fpList[2])
if err != nil {
t.Fatal(err)
}
if !exists {
t.Errorf("chunk file does not exist for fp=%v", fpList[2])
}
s.DropMetricsForFingerprints(fpList...)
s.WaitForIndexing()
fps3 := s.fingerprintsForLabelPairs(model.LabelPair{
Name: model.MetricNameLabel, Value: "test",
})
if len(fps3) != 0 {
t.Errorf("unexpected number of fingerprints: %d", len(fps3))
}
it = s.NewIterator(fpList[0])
if vals := it.RangeValues(metric.Interval{OldestInclusive: insertStart, NewestInclusive: now}); len(vals) != 0 {
t.Errorf("unexpected number of samples: %d", len(vals))
}
it = s.NewIterator(fpList[1])
if vals := it.RangeValues(metric.Interval{OldestInclusive: insertStart, NewestInclusive: now}); len(vals) != 0 {
t.Errorf("unexpected number of samples: %d", len(vals))
}
//.........这里部分代码省略.........
示例4: TestMatches
func TestMatches(t *testing.T) {
storage, closer := NewTestStorage(t, 1)
defer closer.Close()
samples := make([]*model.Sample, 100)
fingerprints := make(model.Fingerprints, 100)
for i := range samples {
metric := model.Metric{
model.MetricNameLabel: model.LabelValue(fmt.Sprintf("test_metric_%d", i)),
"label1": model.LabelValue(fmt.Sprintf("test_%d", i/10)),
"label2": model.LabelValue(fmt.Sprintf("test_%d", (i+5)/10)),
"all": "const",
}
samples[i] = &model.Sample{
Metric: metric,
Timestamp: model.Time(i),
Value: model.SampleValue(i),
}
fingerprints[i] = metric.FastFingerprint()
}
for _, s := range samples {
storage.Append(s)
}
storage.WaitForIndexing()
newMatcher := func(matchType metric.MatchType, name model.LabelName, value model.LabelValue) *metric.LabelMatcher {
lm, err := metric.NewLabelMatcher(matchType, name, value)
if err != nil {
t.Fatalf("error creating label matcher: %s", err)
}
return lm
}
var matcherTests = []struct {
matchers metric.LabelMatchers
expected model.Fingerprints
}{
{
matchers: metric.LabelMatchers{newMatcher(metric.Equal, "label1", "x")},
expected: model.Fingerprints{},
},
{
matchers: metric.LabelMatchers{newMatcher(metric.Equal, "label1", "test_0")},
expected: fingerprints[:10],
},
{
matchers: metric.LabelMatchers{
newMatcher(metric.Equal, "label1", "test_0"),
newMatcher(metric.Equal, "label2", "test_1"),
},
expected: fingerprints[5:10],
},
{
matchers: metric.LabelMatchers{
newMatcher(metric.Equal, "all", "const"),
newMatcher(metric.NotEqual, "label1", "x"),
},
expected: fingerprints,
},
{
matchers: metric.LabelMatchers{
newMatcher(metric.Equal, "all", "const"),
newMatcher(metric.NotEqual, "label1", "test_0"),
},
expected: fingerprints[10:],
},
{
matchers: metric.LabelMatchers{
newMatcher(metric.Equal, "all", "const"),
newMatcher(metric.NotEqual, "label1", "test_0"),
newMatcher(metric.NotEqual, "label1", "test_1"),
newMatcher(metric.NotEqual, "label1", "test_2"),
},
expected: fingerprints[30:],
},
{
matchers: metric.LabelMatchers{
newMatcher(metric.Equal, "label1", ""),
},
expected: fingerprints[:0],
},
{
matchers: metric.LabelMatchers{
newMatcher(metric.NotEqual, "label1", "test_0"),
newMatcher(metric.Equal, "label1", ""),
},
expected: fingerprints[:0],
},
{
matchers: metric.LabelMatchers{
newMatcher(metric.NotEqual, "label1", "test_0"),
newMatcher(metric.Equal, "label2", ""),
},
expected: fingerprints[:0],
},
{
matchers: metric.LabelMatchers{
newMatcher(metric.Equal, "all", "const"),
newMatcher(metric.NotEqual, "label1", "test_0"),
//.........这里部分代码省略.........
示例5: TestFingerprintsForLabels
func TestFingerprintsForLabels(t *testing.T) {
storage, closer := NewTestStorage(t, 1)
defer closer.Close()
samples := make([]*model.Sample, 100)
fingerprints := make(model.Fingerprints, 100)
for i := range samples {
metric := model.Metric{
model.MetricNameLabel: model.LabelValue(fmt.Sprintf("test_metric_%d", i)),
"label1": model.LabelValue(fmt.Sprintf("test_%d", i/10)),
"label2": model.LabelValue(fmt.Sprintf("test_%d", (i+5)/10)),
}
samples[i] = &model.Sample{
Metric: metric,
Timestamp: model.Time(i),
Value: model.SampleValue(i),
}
fingerprints[i] = metric.FastFingerprint()
}
for _, s := range samples {
storage.Append(s)
}
storage.WaitForIndexing()
var matcherTests = []struct {
pairs []model.LabelPair
expected model.Fingerprints
}{
{
pairs: []model.LabelPair{{"label1", "x"}},
expected: fingerprints[:0],
},
{
pairs: []model.LabelPair{{"label1", "test_0"}},
expected: fingerprints[:10],
},
{
pairs: []model.LabelPair{
{"label1", "test_0"},
{"label1", "test_1"},
},
expected: fingerprints[:0],
},
{
pairs: []model.LabelPair{
{"label1", "test_0"},
{"label2", "test_1"},
},
expected: fingerprints[5:10],
},
{
pairs: []model.LabelPair{
{"label1", "test_1"},
{"label2", "test_2"},
},
expected: fingerprints[15:20],
},
}
for _, mt := range matcherTests {
resfps := storage.fingerprintsForLabelPairs(mt.pairs...)
if len(mt.expected) != len(resfps) {
t.Fatalf("expected %d matches for %q, found %d", len(mt.expected), mt.pairs, len(resfps))
}
for fp1 := range resfps {
found := false
for _, fp2 := range mt.expected {
if fp1 == fp2 {
found = true
break
}
}
if !found {
t.Errorf("expected fingerprint %s for %q not in result", fp1, mt.pairs)
}
}
}
}
示例6: TestQuarantineMetric
func TestQuarantineMetric(t *testing.T) {
now := model.Now()
insertStart := now.Add(-2 * time.Hour)
s, closer := NewTestStorage(t, 2)
defer closer.Close()
chunkFileExists := func(fp model.Fingerprint) (bool, error) {
f, err := s.persistence.openChunkFileForReading(fp)
if err == nil {
f.Close()
return true, nil
}
if os.IsNotExist(err) {
return false, nil
}
return false, err
}
m1 := model.Metric{model.MetricNameLabel: "test", "n1": "v1"}
m2 := model.Metric{model.MetricNameLabel: "test", "n1": "v2"}
m3 := model.Metric{model.MetricNameLabel: "test", "n1": "v3"}
N := 120000
for j, m := range []model.Metric{m1, m2, m3} {
for i := 0; i < N; i++ {
smpl := &model.Sample{
Metric: m,
Timestamp: insertStart.Add(time.Duration(i) * time.Millisecond), // 1 millisecond intervals.
Value: model.SampleValue(j),
}
s.Append(smpl)
}
}
s.WaitForIndexing()
// Archive m3, but first maintain it so that at least something is written to disk.
fpToBeArchived := m3.FastFingerprint()
s.maintainMemorySeries(fpToBeArchived, 0)
s.fpLocker.Lock(fpToBeArchived)
s.fpToSeries.del(fpToBeArchived)
s.persistence.archiveMetric(fpToBeArchived, m3, 0, insertStart.Add(time.Duration(N-1)*time.Millisecond))
s.fpLocker.Unlock(fpToBeArchived)
// Corrupt the series file for m3.
f, err := os.Create(s.persistence.fileNameForFingerprint(fpToBeArchived))
if err != nil {
t.Fatal(err)
}
if _, err := f.WriteString("This is clearly not the content of a series file."); err != nil {
t.Fatal(err)
}
if f.Close(); err != nil {
t.Fatal(err)
}
fps := s.fingerprintsForLabelPairs(model.LabelPair{Name: model.MetricNameLabel, Value: "test"})
if len(fps) != 3 {
t.Errorf("unexpected number of fingerprints: %d", len(fps))
}
pl := s.NewPreloader()
// This will access the corrupt file and lead to quarantining.
pl.PreloadInstant(fpToBeArchived, now.Add(-2*time.Hour), time.Minute)
pl.Close()
time.Sleep(time.Second) // Give time to quarantine. TODO(beorn7): Find a better way to wait.
s.WaitForIndexing()
fps2 := s.fingerprintsForLabelPairs(model.LabelPair{
Name: model.MetricNameLabel, Value: "test",
})
if len(fps2) != 2 {
t.Errorf("unexpected number of fingerprints: %d", len(fps2))
}
exists, err := chunkFileExists(fpToBeArchived)
if err != nil {
t.Fatal(err)
}
if exists {
t.Errorf("chunk file exists for fp=%v", fpToBeArchived)
}
}
示例7: TestMatches
func TestMatches(t *testing.T) {
storage, closer := NewTestStorage(t, 2)
defer closer.Close()
storage.archiveHighWatermark = 90
samples := make([]*model.Sample, 100)
fingerprints := make(model.Fingerprints, 100)
for i := range samples {
metric := model.Metric{
model.MetricNameLabel: model.LabelValue(fmt.Sprintf("test_metric_%d", i)),
"label1": model.LabelValue(fmt.Sprintf("test_%d", i/10)),
"label2": model.LabelValue(fmt.Sprintf("test_%d", (i+5)/10)),
"all": "const",
}
samples[i] = &model.Sample{
Metric: metric,
Timestamp: model.Time(i),
Value: model.SampleValue(i),
}
fingerprints[i] = metric.FastFingerprint()
}
for _, s := range samples {
storage.Append(s)
}
storage.WaitForIndexing()
// Archive every tenth metric.
for i, fp := range fingerprints {
if i%10 != 0 {
continue
}
s, ok := storage.fpToSeries.get(fp)
if !ok {
t.Fatal("could not retrieve series for fp", fp)
}
storage.fpLocker.Lock(fp)
storage.persistence.archiveMetric(fp, s.metric, s.firstTime(), s.lastTime)
storage.fpLocker.Unlock(fp)
}
newMatcher := func(matchType metric.MatchType, name model.LabelName, value model.LabelValue) *metric.LabelMatcher {
lm, err := metric.NewLabelMatcher(matchType, name, value)
if err != nil {
t.Fatalf("error creating label matcher: %s", err)
}
return lm
}
var matcherTests = []struct {
matchers metric.LabelMatchers
expected model.Fingerprints
}{
{
matchers: metric.LabelMatchers{newMatcher(metric.Equal, "label1", "x")},
expected: model.Fingerprints{},
},
{
matchers: metric.LabelMatchers{newMatcher(metric.Equal, "label1", "test_0")},
expected: fingerprints[:10],
},
{
matchers: metric.LabelMatchers{
newMatcher(metric.Equal, "label1", "test_0"),
newMatcher(metric.Equal, "label2", "test_1"),
},
expected: fingerprints[5:10],
},
{
matchers: metric.LabelMatchers{
newMatcher(metric.Equal, "all", "const"),
newMatcher(metric.NotEqual, "label1", "x"),
},
expected: fingerprints,
},
{
matchers: metric.LabelMatchers{
newMatcher(metric.Equal, "all", "const"),
newMatcher(metric.NotEqual, "label1", "test_0"),
},
expected: fingerprints[10:],
},
{
matchers: metric.LabelMatchers{
newMatcher(metric.Equal, "all", "const"),
newMatcher(metric.NotEqual, "label1", "test_0"),
newMatcher(metric.NotEqual, "label1", "test_1"),
newMatcher(metric.NotEqual, "label1", "test_2"),
},
expected: fingerprints[30:],
},
{
matchers: metric.LabelMatchers{
newMatcher(metric.Equal, "label1", ""),
},
expected: fingerprints[:0],
},
{
matchers: metric.LabelMatchers{
newMatcher(metric.NotEqual, "label1", "test_0"),
//.........这里部分代码省略.........