Make the batch processor limit data points rather than metrics.

consumer/pdata/metric.go

@@ -127,31 +127,41 @@ func (md Metrics) MetricAndDataPointCount() (metricCount int, dataPointCount int
 			ilm := ilms.At(j)
 			metrics := ilm.Metrics()
 			metricCount += metrics.Len()
-			ms := ilm.Metrics()
-			for k := 0; k < ms.Len(); k++ {
-				m := ms.At(k)
-				switch m.DataType() {
-				case MetricDataTypeIntGauge:
-					dataPointCount += m.IntGauge().DataPoints().Len()
-				case MetricDataTypeDoubleGauge:
-					dataPointCount += m.DoubleGauge().DataPoints().Len()
-				case MetricDataTypeIntSum:
-					dataPointCount += m.IntSum().DataPoints().Len()
-				case MetricDataTypeDoubleSum:
-					dataPointCount += m.DoubleSum().DataPoints().Len()
-				case MetricDataTypeIntHistogram:
-					dataPointCount += m.IntHistogram().DataPoints().Len()
-				case MetricDataTypeHistogram:
-					dataPointCount += m.Histogram().DataPoints().Len()
-				case MetricDataTypeSummary:
-					dataPointCount += m.Summary().DataPoints().Len()
-				}
-			}
+			dataPointCount += ilm.Metrics().DataPointCount()
 		}
 	}
 	return
 }
 
+// DataPointCount calculates the total number of  data points.
+func (ms MetricSlice) DataPointCount() (dataPointCount int) {
+	for k := 0; k < ms.Len(); k++ {
+		dataPointCount += ms.At(k).DataPointCount()
+	}
+	return
+}
+
+// DataPointCount calculates the total number of  data points.
+func (ms Metric) DataPointCount() (dataPointCount int) {
+	switch ms.DataType() {
+	case MetricDataTypeIntGauge:
+		dataPointCount = ms.IntGauge().DataPoints().Len()
+	case MetricDataTypeDoubleGauge:
+		dataPointCount = ms.DoubleGauge().DataPoints().Len()
+	case MetricDataTypeIntSum:
+		dataPointCount = ms.IntSum().DataPoints().Len()
+	case MetricDataTypeDoubleSum:
+		dataPointCount = ms.DoubleSum().DataPoints().Len()
+	case MetricDataTypeIntHistogram:
+		dataPointCount = ms.IntHistogram().DataPoints().Len()
+	case MetricDataTypeHistogram:
+		dataPointCount = ms.Histogram().DataPoints().Len()
+	case MetricDataTypeSummary:
+		dataPointCount = ms.Summary().DataPoints().Len()
+	}
+	return
+}
+
 // MetricDataType specifies the type of data in a Metric.
 type MetricDataType int32
 

processor/batchprocessor/README.md

@@ -15,8 +15,8 @@ any data drops such as sampling.
 Please refer to [config.go](./config.go) for the config spec.
 
 The following configuration options can be modified:
-- `send_batch_size` (default = 8192): Number of spans or metrics after which a
-batch will be sent regardless of the timeout.
+- `send_batch_size` (default = 8192): Number of spans or data point in metrics
+after which a batch will be sent regardless of the timeout.
 - `timeout` (default = 200ms): Time duration after which a batch will be sent
 regardless of size.
 - `send_batch_max_size` (default = 0): The upper limit of the batch size.

processor/batchprocessor/batch_processor.go

@@ -263,9 +263,9 @@ func (bt *batchTraces) size() int {
 }
 
 type batchMetrics struct {
-	nextConsumer consumer.Metrics
-	metricData   pdata.Metrics
-	metricCount  int
+	nextConsumer   consumer.Metrics
+	metricData     pdata.Metrics
+	dataPointCount int
 }
 
 func newBatchMetrics(nextConsumer consumer.Metrics) *batchMetrics {
@@ -274,19 +274,19 @@ func newBatchMetrics(nextConsumer consumer.Metrics) *batchMetrics {
 
 func (bm *batchMetrics) export(ctx context.Context, sendBatchMaxSize int) error {
 	var req pdata.Metrics
-	if sendBatchMaxSize > 0 && bm.metricCount > sendBatchMaxSize {
+	if sendBatchMaxSize > 0 && bm.dataPointCount > sendBatchMaxSize {
 		req = splitMetrics(sendBatchMaxSize, bm.metricData)
-		bm.metricCount -= sendBatchMaxSize
+		bm.dataPointCount -= sendBatchMaxSize
 	} else {
 		req = bm.metricData
 		bm.metricData = pdata.NewMetrics()
-		bm.metricCount = 0
+		bm.dataPointCount = 0
 	}
 	return bm.nextConsumer.ConsumeMetrics(ctx, req)
 }
 
 func (bm *batchMetrics) itemCount() int {
-	return bm.metricCount
+	return bm.dataPointCount
 }
 
 func (bm *batchMetrics) size() int {
@@ -296,11 +296,11 @@ func (bm *batchMetrics) size() int {
 func (bm *batchMetrics) add(item interface{}) {
 	md := item.(pdata.Metrics)
 
-	newMetricsCount := md.MetricCount()
-	if newMetricsCount == 0 {
+	_, newDataPointCount := md.MetricAndDataPointCount()
+	if newDataPointCount == 0 {
 		return
 	}
-	bm.metricCount += newMetricsCount
+	bm.dataPointCount += newDataPointCount
 	md.ResourceMetrics().MoveAndAppendTo(bm.metricData.ResourceMetrics())
 }
 

processor/batchprocessor/batch_processor_test.go

@@ -320,6 +320,8 @@ func TestBatchMetricProcessor_BatchSize(t *testing.T) {
 
 	requestCount := 100
 	metricsPerRequest := 5
+	dataPointsPreMetric := 2 // Since the int counter uses two datapoints.
+	dataPointsPerRequest := metricsPerRequest * dataPointsPreMetric
 	sink := new(consumertest.MetricsSink)
 
 	createParams := component.ProcessorCreateParams{Logger: zap.NewNop()}
@@ -339,8 +341,8 @@ func TestBatchMetricProcessor_BatchSize(t *testing.T) {
 	elapsed := time.Since(start)
 	require.LessOrEqual(t, elapsed.Nanoseconds(), cfg.Timeout.Nanoseconds())
 
-	expectedBatchesNum := requestCount * metricsPerRequest / int(cfg.SendBatchSize)
-	expectedBatchingFactor := int(cfg.SendBatchSize) / metricsPerRequest
+	expectedBatchesNum := requestCount * dataPointsPerRequest / int(cfg.SendBatchSize)
+	expectedBatchingFactor := int(cfg.SendBatchSize) / dataPointsPerRequest
 
 	require.Equal(t, requestCount*metricsPerRequest, sink.MetricsCount())
 	receivedMds := sink.AllMetrics()
@@ -357,7 +359,7 @@ func TestBatchMetricProcessor_BatchSize(t *testing.T) {
 	assert.Equal(t, 1, len(viewData))
 	distData := viewData[0].Data.(*view.DistributionData)
 	assert.Equal(t, int64(expectedBatchesNum), distData.Count)
-	assert.Equal(t, sink.MetricsCount(), int(distData.Sum()))
+	assert.Equal(t, sink.MetricsCount()*dataPointsPreMetric, int(distData.Sum()))
 	assert.Equal(t, cfg.SendBatchSize, uint32(distData.Min))
 	assert.Equal(t, cfg.SendBatchSize, uint32(distData.Max))
 

processor/batchprocessor/splitmetrics.go

@@ -20,15 +20,17 @@ import (
 
 // splitMetrics removes metrics from the input data and returns a new data of the specified size.
 func splitMetrics(size int, src pdata.Metrics) pdata.Metrics {
-	if src.MetricCount() <= size {
+	_, dataPoints := src.MetricAndDataPointCount()
+	if dataPoints <= size {
 		return src
 	}
-	totalCopiedMetrics := 0
+	shouldSend := false
+	totalCopiedDataPoints := 0
 	dest := pdata.NewMetrics()
 
 	src.ResourceMetrics().RemoveIf(func(srcRs pdata.ResourceMetrics) bool {
 		// If we are done skip everything else.
-		if totalCopiedMetrics == size {
+		if shouldSend {
 			return false
 		}
 
@@ -37,28 +39,29 @@ func splitMetrics(size int, src pdata.Metrics) pdata.Metrics {
 
 		srcRs.InstrumentationLibraryMetrics().RemoveIf(func(srcIlm pdata.InstrumentationLibraryMetrics) bool {
 			// If we are done skip everything else.
-			if totalCopiedMetrics == size {
+			if shouldSend {
 				return false
 			}
 
 			destIlm := destRs.InstrumentationLibraryMetrics().AppendEmpty()
 			srcIlm.InstrumentationLibrary().CopyTo(destIlm.InstrumentationLibrary())
 
 			// If possible to move all metrics do that.
-			srcMetricsLen := srcIlm.Metrics().Len()
-			if size-totalCopiedMetrics >= srcMetricsLen {
-				totalCopiedMetrics += srcMetricsLen
+			srcDataPointCount := srcIlm.Metrics().DataPointCount()
+			if size-totalCopiedDataPoints >= srcDataPointCount {
+				totalCopiedDataPoints += srcDataPointCount
 				srcIlm.Metrics().MoveAndAppendTo(destIlm.Metrics())
 				return true
 			}
 
 			srcIlm.Metrics().RemoveIf(func(srcMetric pdata.Metric) bool {
 				// If we are done skip everything else.
-				if totalCopiedMetrics == size {
+				if srcMetric.DataPointCount()+totalCopiedDataPoints > size {
+					shouldSend = true
 					return false
 				}
 				srcMetric.CopyTo(destIlm.Metrics().AppendEmpty())
-				totalCopiedMetrics++
+				totalCopiedDataPoints += srcMetric.DataPointCount()
 				return true
 			})
 			return false

processor/batchprocessor/splitmetrics_test.go

@@ -36,8 +36,10 @@ func TestSplitMetrics_noop(t *testing.T) {
 func TestSplitMetrics(t *testing.T) {
 	md := testdata.GenerateMetricsManyMetricsSameResource(20)
 	metrics := md.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics()
+	dataPointCount := metrics.At(0).DataPointCount()
 	for i := 0; i < metrics.Len(); i++ {
 		metrics.At(i).SetName(getTestMetricName(0, i))
+		assert.Equal(t, dataPointCount, metrics.At(i).DataPointCount())
 	}
 	cp := pdata.NewMetrics()
 	cpMetrics := cp.ResourceMetrics().AppendEmpty().InstrumentationLibraryMetrics().AppendEmpty().Metrics()
@@ -52,9 +54,10 @@ func TestSplitMetrics(t *testing.T) {
 	metrics.At(3).CopyTo(cpMetrics.At(3))
 	metrics.At(4).CopyTo(cpMetrics.At(4))
 
-	splitSize := 5
+	splitMetricCount := 5
+	splitSize := splitMetricCount * dataPointCount
 	split := splitMetrics(splitSize, md)
-	assert.Equal(t, splitSize, split.MetricCount())
+	assert.Equal(t, splitMetricCount, split.MetricCount())
 	assert.Equal(t, cp, split)
 	assert.Equal(t, 15, md.MetricCount())
 	assert.Equal(t, "test-metric-int-0-0", split.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(0).Name())
@@ -79,8 +82,10 @@ func TestSplitMetrics(t *testing.T) {
 func TestSplitMetricsMultipleResourceSpans(t *testing.T) {
 	md := testdata.GenerateMetricsManyMetricsSameResource(20)
 	metrics := md.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics()
+	dataPointCount := metrics.At(0).DataPointCount()
 	for i := 0; i < metrics.Len(); i++ {
 		metrics.At(i).SetName(getTestMetricName(0, i))
+		assert.Equal(t, dataPointCount, metrics.At(i).DataPointCount())
 	}
 	// add second index to resource metrics
 	testdata.GenerateMetricsManyMetricsSameResource(20).
@@ -90,9 +95,10 @@ func TestSplitMetricsMultipleResourceSpans(t *testing.T) {
 		metrics.At(i).SetName(getTestMetricName(1, i))
 	}
 
-	splitSize := 5
+	splitMetricCount := 5
+	splitSize := splitMetricCount * dataPointCount
 	split := splitMetrics(splitSize, md)
-	assert.Equal(t, splitSize, split.MetricCount())
+	assert.Equal(t, splitMetricCount, split.MetricCount())
 	assert.Equal(t, 35, md.MetricCount())
 	assert.Equal(t, "test-metric-int-0-0", split.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(0).Name())
 	assert.Equal(t, "test-metric-int-0-4", split.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(4).Name())
@@ -101,8 +107,10 @@ func TestSplitMetricsMultipleResourceSpans(t *testing.T) {
 func TestSplitMetricsMultipleResourceSpans_SplitSizeGreaterThanMetricSize(t *testing.T) {
 	td := testdata.GenerateMetricsManyMetricsSameResource(20)
 	metrics := td.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics()
+	dataPointCount := metrics.At(0).DataPointCount()
 	for i := 0; i < metrics.Len(); i++ {
 		metrics.At(i).SetName(getTestMetricName(0, i))
+		assert.Equal(t, dataPointCount, metrics.At(i).DataPointCount())
 	}
 	td.ResourceMetrics().Resize(2)
 	// add second index to resource metrics
@@ -113,10 +121,11 @@ func TestSplitMetricsMultipleResourceSpans_SplitSizeGreaterThanMetricSize(t *tes
 		metrics.At(i).SetName(getTestMetricName(1, i))
 	}
 
-	splitSize := 25
+	splitMetricCount := 25
+	splitSize := splitMetricCount * dataPointCount
 	split := splitMetrics(splitSize, td)
-	assert.Equal(t, splitSize, split.MetricCount())
-	assert.Equal(t, 40-splitSize, td.MetricCount())
+	assert.Equal(t, splitMetricCount, split.MetricCount())
+	assert.Equal(t, 40-splitMetricCount, td.MetricCount())
 	assert.Equal(t, 1, td.ResourceMetrics().Len())
 	assert.Equal(t, "test-metric-int-0-0", split.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(0).Name())
 	assert.Equal(t, "test-metric-int-0-19", split.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(19).Name())
@@ -166,3 +175,31 @@ func BenchmarkCloneMetrics(b *testing.B) {
 		}
 	}
 }
+
+func TestSplitMetricsNotFull(t *testing.T) {
+	md := testdata.GenerateMetricsManyMetricsSameResource(10)
+	metrics := md.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics()
+	dataPointCount := 2
+	for i := 0; i < metrics.Len(); i++ {
+		metrics.At(i).SetName(getTestMetricName(0, i))
+		assert.Equal(t, dataPointCount, metrics.At(i).DataPointCount())
+	}
+
+	splitSize := 9
+	split := splitMetrics(splitSize, md)
+	assert.Equal(t, 4, split.MetricCount())
+	assert.Equal(t, 6, md.MetricCount())
+	assert.Equal(t, "test-metric-int-0-0", split.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(0).Name())
+	assert.Equal(t, "test-metric-int-0-3", split.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(3).Name())
+
+	split = splitMetrics(splitSize, md)
+	assert.Equal(t, 4, split.MetricCount())
+	assert.Equal(t, 2, md.MetricCount())
+	assert.Equal(t, "test-metric-int-0-4", split.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(0).Name())
+	assert.Equal(t, "test-metric-int-0-7", split.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(3).Name())
+
+	split = splitMetrics(splitSize, md)
+	assert.Equal(t, 2, split.MetricCount())
+	assert.Equal(t, "test-metric-int-0-8", split.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(0).Name())
+	assert.Equal(t, "test-metric-int-0-9", split.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(1).Name())
+}