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Extract indexing of Fingerprint to Metrics.
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@ -43,6 +43,7 @@ const (
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hasIndexMetric = "has_index_metric"
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hasLabelName = "has_label_name"
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hasLabelPair = "has_label_pair"
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indexFingerprints = "index_fingerprints"
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indexLabelNames = "index_label_names"
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indexLabelPairs = "index_label_pairs"
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indexMetric = "index_metric"
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@ -272,6 +272,8 @@ func (l *LevelDBMetricPersistence) findUnindexedMetrics(candidates map[model.Fin
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// indexLabelNames accumulates all label name to fingerprint index entries for
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// the dirty metrics, appends the new dirtied metrics, sorts, and bulk updates
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// the index to reflect the new state.
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//
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// This operation is idempotent.
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func (l *LevelDBMetricPersistence) indexLabelNames(metrics map[model.Fingerprint]model.Metric) (err error) {
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begin := time.Now()
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defer func() {
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@ -338,6 +340,8 @@ func (l *LevelDBMetricPersistence) indexLabelNames(metrics map[model.Fingerprint
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// indexLabelPairs accumulates all label pair to fingerprint index entries for
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// the dirty metrics, appends the new dirtied metrics, sorts, and bulk updates
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// the index to reflect the new state.
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//
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// This operation is idempotent.
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func (l *LevelDBMetricPersistence) indexLabelPairs(metrics map[model.Fingerprint]model.Metric) (err error) {
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begin := time.Now()
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defer func() {
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@ -408,6 +412,35 @@ func (l *LevelDBMetricPersistence) indexLabelPairs(metrics map[model.Fingerprint
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return
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}
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// indexFingerprints updates all of the Fingerprint to Metric reverse lookups
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// in the index and then bulk updates.
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//
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// This operation is idempotent.
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func (l *LevelDBMetricPersistence) indexFingerprints(metrics map[model.Fingerprint]model.Metric) (err error) {
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begin := time.Now()
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defer func() {
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duration := time.Since(begin)
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recordOutcome(duration, err, map[string]string{operation: indexFingerprints, result: success}, map[string]string{operation: indexFingerprints, result: failure})
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}()
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batch := leveldb.NewBatch()
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defer batch.Close()
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for fingerprint, metric := range metrics {
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key := coding.NewProtocolBufferEncoder(fingerprint.ToDTO())
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value := coding.NewProtocolBufferEncoder(model.MetricToDTO(metric))
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batch.Put(key, value)
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}
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err = l.fingerprintToMetrics.Commit(batch)
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if err != nil {
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panic(err)
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}
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return
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}
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// indexMetrics takes groups of samples, determines which ones contain metrics
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// that are unknown to the storage stack, and then proceeds to update all
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// affected indices.
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@ -435,19 +468,23 @@ func (l *LevelDBMetricPersistence) indexMetrics(fingerprints map[model.Fingerpri
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// TODO: For the missing fingerprints, determine what label names and pairs
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// are absent and act accordingly and append fingerprints.
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var (
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doneBuildingLabelNameIndex = make(chan error)
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doneBuildingLabelPairIndex = make(chan error)
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doneBuildingLabelNameIndex = make(chan error)
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doneBuildingLabelPairIndex = make(chan error)
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doneBuildingFingerprintIndex = make(chan error)
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)
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go func() {
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doneBuildingLabelNameIndex <- l.indexLabelNames(absentMetrics)
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}()
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// Update LabelPair -> Fingerprint index.
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go func() {
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doneBuildingLabelPairIndex <- l.indexLabelPairs(absentMetrics)
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}()
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go func() {
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doneBuildingFingerprintIndex <- l.indexFingerprints(absentMetrics)
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}()
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makeTopLevelIndex := true
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err = <-doneBuildingLabelNameIndex
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@ -460,27 +497,17 @@ func (l *LevelDBMetricPersistence) indexMetrics(fingerprints map[model.Fingerpri
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panic(err)
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makeTopLevelIndex = false
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}
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// Update the Metric existence index.
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if len(absentMetrics) > 0 {
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batch := leveldb.NewBatch()
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defer batch.Close()
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for fingerprint, metric := range absentMetrics {
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key := coding.NewProtocolBufferEncoder(fingerprint.ToDTO())
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value := coding.NewProtocolBufferEncoder(model.MetricToDTO(metric))
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batch.Put(key, value)
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}
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err = l.fingerprintToMetrics.Commit(batch)
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if err != nil {
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panic(err)
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// Critical
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log.Println(err)
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}
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err = <-doneBuildingFingerprintIndex
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if err != nil {
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panic(err)
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makeTopLevelIndex = false
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}
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// If any of the preceding operations failed, we will have inconsistent
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// indices. Thusly, the Metric membership index should NOT be updated, as
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// its state is used to determine whether to bulk update the other indices.
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// Given that those operations are idempotent, it is OK to repeat them;
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// however, it will consume considerable amounts of time.
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if makeTopLevelIndex {
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batch := leveldb.NewBatch()
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defer batch.Close()
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