lib/streamaggr: skip de-duplication for series, which do not match the configured aggregation rules

Previously all the incoming samples were de-duplicated, even if their series doesn't
match aggregation rule filters. This could result in increased CPU usage.

Now the de-duplication isn't applied to samples for series, which do not match
aggregation rule filters. Such samples are just ignored.

lib/streamaggr/streamaggr.go

@@ -449,7 +449,7 @@ func (a *aggregator) dedupFlush() {
 		skipAggrSuffix: true,
 	}
 	a.dedupAggr.appendSeriesForFlush(ctx)
-	a.push(ctx.tss)
+	a.push(ctx.tss, false)
 }
 
 func (a *aggregator) flush() {
@@ -500,7 +500,7 @@ func (a *aggregator) MustStop() {
 // Push pushes tss to a.
 func (a *aggregator) Push(tss []prompbmarshal.TimeSeries) {
 	if a.dedupAggr == nil {
-		a.push(tss)
+		a.push(tss, true)
 		return
 	}
 
@@ -509,25 +509,11 @@ func (a *aggregator) Push(tss []prompbmarshal.TimeSeries) {
 	pushSample := a.dedupAggr.pushSample
 	inputKey := ""
 	bb := bbPool.Get()
-	for _, ts := range tss {
-		bb.B = marshalLabelsFast(bb.B[:0], ts.Labels)
-		outputKey := bytesutil.InternBytes(bb.B)
-		for _, sample := range ts.Samples {
-			pushSample(inputKey, outputKey, sample.Value)
-		}
-	}
-	bbPool.Put(bb)
-}
-
-func (a *aggregator) push(tss []prompbmarshal.TimeSeries) {
 	labels := promutils.GetLabels()
-	tmpLabels := promutils.GetLabels()
-	bb := bbPool.Get()
 	for _, ts := range tss {
 		if !a.match.Match(ts.Labels) {
 			continue
 		}
-
 		labels.Labels = append(labels.Labels[:0], ts.Labels...)
 		labels.Labels = a.inputRelabeling.Apply(labels.Labels, 0)
 		if len(labels.Labels) == 0 {
@@ -536,6 +522,34 @@ func (a *aggregator) push(tss []prompbmarshal.TimeSeries) {
 		}
 		labels.Sort()
 
+		bb.B = marshalLabelsFast(bb.B[:0], labels.Labels)
+		outputKey := bytesutil.InternBytes(bb.B)
+		for _, sample := range ts.Samples {
+			pushSample(inputKey, outputKey, sample.Value)
+		}
+	}
+	promutils.PutLabels(labels)
+	bbPool.Put(bb)
+}
+
+func (a *aggregator) push(tss []prompbmarshal.TimeSeries, applyFilters bool) {
+	labels := promutils.GetLabels()
+	tmpLabels := promutils.GetLabels()
+	bb := bbPool.Get()
+	for _, ts := range tss {
+		if applyFilters && !a.match.Match(ts.Labels) {
+			continue
+		}
+		labels.Labels = append(labels.Labels[:0], ts.Labels...)
+		if applyFilters {
+			labels.Labels = a.inputRelabeling.Apply(labels.Labels, 0)
+			if len(labels.Labels) == 0 {
+				// The metric has been deleted by the relabeling
+				continue
+			}
+			labels.Sort()
+		}
+
 		if a.aggregateOnlyByTime {
 			bb.B = marshalLabelsFast(bb.B[:0], labels.Labels)
 		} else {