Add OTLP Benchmark to measure push performance

pkg/util/push/otlp.go

@@ -73,7 +73,7 @@ func OTLPHandler(maxRecvMsgSize int, overrides *validation.Overrides, cfg distri
 		}
 
 		// convert prompb to cortexpb TimeSeries
-		tsList := []cortexpb.PreallocTimeseries(nil)
+		tsList := make([]cortexpb.PreallocTimeseries, 0, len(promTsList))
 		for _, v := range promTsList {
 			tsList = append(tsList, cortexpb.PreallocTimeseries{TimeSeries: &cortexpb.TimeSeries{
 				Labels:     makeLabels(v.Labels),

pkg/util/push/otlp_test.go

@@ -620,7 +620,7 @@ func getOTLPHttpRequest(otlpRequest *pmetricotlp.ExportRequest, contentType, enc
 	return req, nil
 }
 
-func BenchmarkOTLPWriteHandler(b *testing.B) {
+func BenchmarkOTLPWriteHandlerCompression(b *testing.B) {
 	cfg := distributor.OTLPConfig{
 		ConvertAllAttributes: false,
 		DisableTargetInfo:    false,
@@ -695,6 +695,91 @@ func BenchmarkOTLPWriteHandler(b *testing.B) {
 	})
 }
 
+func BenchmarkOTLPWriteHandlerPush(b *testing.B) {
+	cfg := distributor.OTLPConfig{
+		ConvertAllAttributes: false,
+		DisableTargetInfo:    false,
+	}
+	overrides := validation.NewOverrides(querier.DefaultLimitsConfig(), nil)
+
+	mockPushFunc := func(context.Context, *cortexpb.WriteRequest) (*cortexpb.WriteResponse, error) {
+		return &cortexpb.WriteResponse{}, nil
+	}
+	handler := OTLPHandler(1000000, overrides, cfg, nil, mockPushFunc)
+
+	tests := []struct {
+		description      string
+		numSeries        int
+		samplesPerSeries int
+		numHistograms    int
+	}{
+		{
+			numSeries:        1,
+			samplesPerSeries: 10,
+			numHistograms:    1,
+		},
+		{
+			numSeries:        1,
+			samplesPerSeries: 100,
+			numHistograms:    1,
+		},
+		{
+			numSeries:        1,
+			samplesPerSeries: 1000,
+			numHistograms:    1,
+		},
+		{
+			numSeries:        1,
+			samplesPerSeries: 1,
+			numHistograms:    10,
+		},
+		{
+			numSeries:        1,
+			samplesPerSeries: 1,
+			numHistograms:    100,
+		},
+		{
+			numSeries:        1,
+			samplesPerSeries: 1,
+			numHistograms:    1000,
+		},
+		{
+			numSeries:        10,
+			samplesPerSeries: 1,
+			numHistograms:    1,
+		},
+		{
+			numSeries:        100,
+			samplesPerSeries: 1,
+			numHistograms:    1,
+		},
+		{
+			numSeries:        1000,
+			samplesPerSeries: 1,
+			numHistograms:    1,
+		},
+	}
+
+	for _, test := range tests {
+		b.Run(fmt.Sprintf("numSeries:%d, samplesPerSeries:%d, numHistograms:%d", test.numSeries, test.samplesPerSeries, test.numHistograms), func(b *testing.B) {
+			exportRequest := generateOTLPWriteRequestWithSeries(test.numSeries, test.samplesPerSeries, test.numHistograms)
+			req, err := getOTLPHttpRequest(&exportRequest, pbContentType, "gzip")
+			require.NoError(b, err)
+
+			b.ResetTimer()
+			b.ReportAllocs()
+			for i := 0; i < b.N; i++ {
+				recorder := httptest.NewRecorder()
+				handler.ServeHTTP(recorder, req)
+
+				resp := recorder.Result()
+				require.Equal(b, http.StatusOK, resp.StatusCode)
+				req.Body.(*resetReader).Reset()
+			}
+		})
+	}
+}
+
 func TestOTLPWriteHandler(t *testing.T) {
 	cfg := distributor.OTLPConfig{
 		ConvertAllAttributes: false,
@@ -800,6 +885,87 @@ func TestOTLPWriteHandler(t *testing.T) {
 	}
 }
 
+func generateOTLPWriteRequestWithSeries(numSeries, samplesPerSeries, numHistogram int) pmetricotlp.ExportRequest {
+	d := pmetric.NewMetrics()
+
+	attributes := pcommon.NewMap()
+	attributes.PutStr("label1", "value1")
+	attributes.PutStr("label2", "value2")
+	attributes.PutStr("label3", "value3")
+
+	for i := 0; i < numSeries; i++ {
+		metricName := fmt.Sprintf("series_%d", i)
+		metricUnit := fmt.Sprintf("unit_%d", i)
+		metricDescription := fmt.Sprintf("description_%d", i)
+
+		resourceMetric := d.ResourceMetrics().AppendEmpty()
+		resourceMetric.Resource().Attributes().PutStr("service.name", "test-service")
+		resourceMetric.Resource().Attributes().PutStr("service.instance.id", "test-instance")
+		resourceMetric.Resource().Attributes().PutStr("host.name", "test-host")
+
+		scopeMetric := resourceMetric.ScopeMetrics()
+		metric := scopeMetric.AppendEmpty().Metrics().AppendEmpty()
+
+		// set metadata
+		metric.SetName(metricName)
+		metric.SetDescription(metricDescription)
+		metric.SetUnit(metricUnit)
+		metric.SetEmptyGauge()
+
+		for j := 0; j < samplesPerSeries; j++ {
+			v := float64(j + i)
+			ts := time.Now().Add(time.Second * 30 * time.Duration(samplesPerSeries-j+1))
+			dataPoint := metric.Gauge().DataPoints().AppendEmpty()
+			dataPoint.SetTimestamp(pcommon.NewTimestampFromTime(ts))
+			dataPoint.SetDoubleValue(v)
+			attributes.CopyTo(dataPoint.Attributes())
+
+			// exemplar
+			exemplar := dataPoint.Exemplars().AppendEmpty()
+			exemplar.SetTimestamp(pcommon.NewTimestampFromTime(ts))
+			exemplar.SetDoubleValue(v)
+			exemplar.SetSpanID(pcommon.SpanID{0, 1, 2, 3, 4, 5, 6, 7})
+			exemplar.SetTraceID(pcommon.TraceID{0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15})
+		}
+
+		for j := 0; j < numHistogram; j++ {
+			ts := time.Now().Add(time.Second * 30 * time.Duration(numHistogram-j+1))
+			// Generate One Histogram
+			histogramMetric := scopeMetric.AppendEmpty().Metrics().AppendEmpty()
+			histogramMetric.SetName(fmt.Sprintf("test-histogram_%d", j))
+			histogramMetric.SetDescription(fmt.Sprintf("test-histogram-description_%d", j))
+			histogramMetric.SetEmptyHistogram()
+			histogramMetric.Histogram().SetAggregationTemporality(pmetric.AggregationTemporalityCumulative)
+
+			histogramDataPoint := histogramMetric.Histogram().DataPoints().AppendEmpty()
+			histogramDataPoint.SetTimestamp(pcommon.NewTimestampFromTime(ts))
+			histogramDataPoint.ExplicitBounds().FromRaw([]float64{0.0, 1.0, 2.0, 3.0, 4.0, 5.0})
+			histogramDataPoint.BucketCounts().FromRaw([]uint64{2, 2, 2, 2, 2, 2})
+			histogramDataPoint.SetCount(10)
+			histogramDataPoint.SetSum(30.0)
+			attributes.CopyTo(histogramDataPoint.Attributes())
+
+			// Generate One Exponential-Histogram
+			exponentialHistogramMetric := scopeMetric.AppendEmpty().Metrics().AppendEmpty()
+			exponentialHistogramMetric.SetName(fmt.Sprintf("test-exponential-histogram_%d", j))
+			exponentialHistogramMetric.SetDescription(fmt.Sprintf("test-exponential-histogram-description_%d", j))
+			exponentialHistogramMetric.SetEmptyExponentialHistogram()
+			exponentialHistogramMetric.ExponentialHistogram().SetAggregationTemporality(pmetric.AggregationTemporalityCumulative)
+
+			exponentialHistogramDataPoint := exponentialHistogramMetric.ExponentialHistogram().DataPoints().AppendEmpty()
+			exponentialHistogramDataPoint.SetTimestamp(pcommon.NewTimestampFromTime(ts))
+			exponentialHistogramDataPoint.SetScale(2.0)
+			exponentialHistogramDataPoint.Positive().BucketCounts().FromRaw([]uint64{2, 2, 2, 2, 2})
+			exponentialHistogramDataPoint.SetZeroCount(2)
+			exponentialHistogramDataPoint.SetCount(10)
+			exponentialHistogramDataPoint.SetSum(30.0)
+			attributes.CopyTo(exponentialHistogramDataPoint.Attributes())
+		}
+	}
+
+	return pmetricotlp.NewExportRequestFromMetrics(d)
+}
+
 func generateOTLPWriteRequest() pmetricotlp.ExportRequest {
 	d := pmetric.NewMetrics()