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Merge pull request #30 from matttproud/fix/get-metrics-for-labelset-semantics
``GetFingerprintsForLabelSet`` uses intersection.
This commit is contained in:
commit
f1a4f26d3b
@ -22,6 +22,7 @@ import (
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"github.com/matttproud/prometheus/model"
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dto "github.com/matttproud/prometheus/model/generated"
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"github.com/matttproud/prometheus/storage/metric"
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"github.com/matttproud/prometheus/utility"
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"time"
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)
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@ -170,7 +171,7 @@ func (l *LevelDBMetricPersistence) GetFingerprintsForLabelSet(labelSet *model.La
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m.Increment()
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}()
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fps = make([]*model.Fingerprint, 0, 0)
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sets := []utility.Set{}
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for _, labelSetDTO := range model.LabelSetToDTOs(labelSet) {
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f, err := l.labelSetToFingerprints.Get(coding.NewProtocolBufferEncoder(labelSetDTO))
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@ -184,10 +185,29 @@ func (l *LevelDBMetricPersistence) GetFingerprintsForLabelSet(labelSet *model.La
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return fps, err
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}
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set := utility.Set{}
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for _, m := range unmarshaled.Member {
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fp := model.Fingerprint(*m.Signature)
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fps = append(fps, &fp)
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set.Add(fp)
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}
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sets = append(sets, set)
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}
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numberOfSets := len(sets)
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if numberOfSets == 0 {
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return
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}
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base := sets[0]
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for i := 1; i < numberOfSets; i++ {
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base = base.Intersection(sets[i])
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}
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fps = []*model.Fingerprint{}
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for _, e := range base.Elements() {
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fingerprint := e.(model.Fingerprint)
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fps = append(fps, &fingerprint)
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}
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return
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76
storage/metric/leveldb/regressions_test.go
Normal file
76
storage/metric/leveldb/regressions_test.go
Normal file
@ -0,0 +1,76 @@
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// Copyright 2012 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 leveldb
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import (
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"github.com/matttproud/prometheus/model"
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"io/ioutil"
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"os"
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"testing"
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"time"
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)
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func TestGetFingerprintsForLabelSetUsesAnd(t *testing.T) {
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temporaryDirectory, _ := ioutil.TempDir("", "test_get_fingerprints_for_label_set_uses_and")
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defer func() {
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err := os.RemoveAll(temporaryDirectory)
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if err != nil {
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t.Errorf("could not remove temporary directory: %f", err)
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}
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}()
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persistence, _ := NewLevelDBMetricPersistence(temporaryDirectory)
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defer persistence.Close()
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metrics := []map[string]string{
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{"name": "request_metrics_latency_equal_tallying_microseconds", "instance": "http://localhost:9090/metrics.json", "percentile": "0.010000"},
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{"name": "requests_metrics_latency_equal_accumulating_microseconds", "instance": "http://localhost:9090/metrics.json", "percentile": "0.010000"},
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{"name": "requests_metrics_latency_logarithmic_accumulating_microseconds", "instance": "http://localhost:9090/metrics.json", "percentile": "0.010000"},
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{"name": "requests_metrics_latency_logarithmic_tallying_microseconds", "instance": "http://localhost:9090/metrics.json", "percentile": "0.010000"},
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{"name": "targets_healthy_scrape_latency_ms", "instance": "http://localhost:9090/metrics.json", "percentile": "0.010000"},
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}
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for _, metric := range metrics {
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m := model.Metric{}
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for k, v := range metric {
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m[model.LabelName(k)] = model.LabelValue(v)
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}
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err := persistence.AppendSample(&model.Sample{
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Value: model.SampleValue(0.0),
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Timestamp: time.Now(),
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Metric: m,
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})
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if err != nil {
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t.Errorf("could not create base sample: %s", err)
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}
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}
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labelSet := model.LabelSet{
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"name": "targets_healthy_scrape_latency_ms",
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"percentile": "0.010000",
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}
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fingerprints, err := persistence.GetFingerprintsForLabelSet(&labelSet)
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if err != nil {
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t.Errorf("could not get labels: %s", err)
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}
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if len(fingerprints) != 1 {
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t.Errorf("did not get a single metric as is expected, got %s", fingerprints)
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}
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}
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