update oc internal, prometheus exporters to use attributes (#3770)

* update oc internal, prometheus exporters to use attributes

* rename addAttributesToDoubleHistogramDataPoints

* cleaned up TODOs, mentioned the code in the issue instead

exporter/exporterhelper/metrics.go

@@ -91,7 +91,7 @@ func NewMetricsExporter(
 
  mc, err := consumerhelper.NewMetrics(func(ctx context.Context, md pdata.Metrics) error {
  if bs.ResourceToTelemetrySettings.Enabled {
- md = convertResourceToLabels(md)
+ md = convertResourceToAttributes(md)
  }
  req := newMetricsRequest(ctx, md, pusher)
  err := be.sender.send(req)

exporter/exporterhelper/resource_to_label.go

@@ -16,7 +16,6 @@ package exporterhelper
 
 import (
  "go.opentelemetry.io/collector/model/pdata"
- tracetranslator "go.opentelemetry.io/collector/translator/trace"
 )
 
 // ResourceToTelemetrySettings defines configuration for converting resource attributes to metric labels.
@@ -32,68 +31,52 @@ func defaultResourceToTelemetrySettings() ResourceToTelemetrySettings {
  }
 }
 
-// convertResourceToLabels converts all resource attributes to metric labels
-func convertResourceToLabels(md pdata.Metrics) pdata.Metrics {
+// convertResourceToAttributes converts all resource attributes to metric labels
+func convertResourceToAttributes(md pdata.Metrics) pdata.Metrics {
  cloneMd := md.Clone()
  rms := cloneMd.ResourceMetrics()
  for i := 0; i < rms.Len(); i++ {
  resource := rms.At(i).Resource()
 
- labelMap := extractLabelsFromResource(&resource)
-
  ilms := rms.At(i).InstrumentationLibraryMetrics()
  for j := 0; j < ilms.Len(); j++ {
  ilm := ilms.At(j)
  metricSlice := ilm.Metrics()
  for k := 0; k < metricSlice.Len(); k++ {
  metric := metricSlice.At(k)
- addLabelsToMetric(&metric, labelMap)
+ addAttributesToMetric(&metric, resource.Attributes())
  }
  }
  }
  return cloneMd
 }
 
-// extractAttributesFromResource extracts the attributes from a given resource and
-// returns them as a StringMap.
-func extractLabelsFromResource(resource *pdata.Resource) pdata.StringMap {
- labelMap := pdata.NewStringMap()
-
- attrMap := resource.Attributes()
- attrMap.Range(func(k string, av pdata.AttributeValue) bool {
- stringLabel := tracetranslator.AttributeValueToString(av)
- labelMap.Upsert(k, stringLabel)
- return true
- })
- return labelMap
-}
-
-// addLabelsToMetric adds additional labels to the given metric
-func addLabelsToMetric(metric *pdata.Metric, labelMap pdata.StringMap) {
+// addAttributesToMetric adds additional labels to the given metric
+func addAttributesToMetric(metric *pdata.Metric, labelMap pdata.AttributeMap) {
  switch metric.DataType() {
  case pdata.MetricDataTypeGauge:
- addLabelsToNumberDataPoints(metric.Gauge().DataPoints(), labelMap)
+ addAttributesToNumberDataPoints(metric.Gauge().DataPoints(), labelMap)
  case pdata.MetricDataTypeSum:
- addLabelsToNumberDataPoints(metric.Sum().DataPoints(), labelMap)
+ addAttributesToNumberDataPoints(metric.Sum().DataPoints(), labelMap)
  case pdata.MetricDataTypeHistogram:
- addLabelsToDoubleHistogramDataPoints(metric.Histogram().DataPoints(), labelMap)
+ addAttributesToHistogramDataPoints(metric.Histogram().DataPoints(), labelMap)
  }
 }
 
-func addLabelsToNumberDataPoints(ps pdata.NumberDataPointSlice, newLabelMap pdata.StringMap) {
+func addAttributesToNumberDataPoints(ps pdata.NumberDataPointSlice, newAttributeMap pdata.AttributeMap) {
  for i := 0; i < ps.Len(); i++ {
- joinStringMaps(newLabelMap, ps.At(i).LabelsMap())
+ joinAttributeMaps(newAttributeMap, ps.At(i).Attributes())
  }
 }
 
-func addLabelsToDoubleHistogramDataPoints(ps pdata.HistogramDataPointSlice, newLabelMap pdata.StringMap) {
+func addAttributesToHistogramDataPoints(ps pdata.HistogramDataPointSlice, newAttributeMap pdata.AttributeMap) {
  for i := 0; i < ps.Len(); i++ {
- joinStringMaps(newLabelMap, ps.At(i).LabelsMap())
+ joinAttributeMaps(newAttributeMap, ps.At(i).Attributes())
  }
 }
 
-func joinStringMaps(from, to pdata.StringMap) {
- from.Range(func(k, v string) bool {
+func joinAttributeMaps(from, to pdata.AttributeMap) {
+ from.Range(func(k string, v pdata.AttributeValue) bool {
  to.Upsert(k, v)
  return true
  })

exporter/exporterhelper/resource_to_label_test.go

@@ -21,52 +21,52 @@ import (
  "go.opentelemetry.io/collector/internal/testdata"
 )
 
-func TestConvertResourceToLabels(t *testing.T) {
+func TestConvertResourceToAttributes(t *testing.T) {
  md := testdata.GenerateMetricsOneMetric()
  assert.NotNil(t, md)
 
  // Before converting resource to labels
  assert.Equal(t, 1, md.ResourceMetrics().At(0).Resource().Attributes().Len())
- assert.Equal(t, 1, md.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(0).Sum().DataPoints().At(0).LabelsMap().Len())
+ assert.Equal(t, 1, md.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(0).Sum().DataPoints().At(0).Attributes().Len())
 
- cloneMd := convertResourceToLabels(md)
+ cloneMd := convertResourceToAttributes(md)
 
  // After converting resource to labels
  assert.Equal(t, 1, cloneMd.ResourceMetrics().At(0).Resource().Attributes().Len())
- assert.Equal(t, 2, cloneMd.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(0).Sum().DataPoints().At(0).LabelsMap().Len())
+ assert.Equal(t, 2, cloneMd.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(0).Sum().DataPoints().At(0).Attributes().Len())
 
  assert.Equal(t, 1, md.ResourceMetrics().At(0).Resource().Attributes().Len())
- assert.Equal(t, 1, md.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(0).Sum().DataPoints().At(0).LabelsMap().Len())
+ assert.Equal(t, 1, md.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(0).Sum().DataPoints().At(0).Attributes().Len())
 
 }
 
-func TestConvertResourceToLabelsAllDataTypesEmptyDataPoint(t *testing.T) {
+func TestConvertResourceToAttributesAllDataTypesEmptyDataPoint(t *testing.T) {
  md := testdata.GenerateMetricsAllTypesEmptyDataPoint()
  assert.NotNil(t, md)
 
  // Before converting resource to labels
  assert.Equal(t, 1, md.ResourceMetrics().At(0).Resource().Attributes().Len())
- assert.Equal(t, 0, md.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(0).Gauge().DataPoints().At(0).LabelsMap().Len())
- assert.Equal(t, 0, md.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(1).Gauge().DataPoints().At(0).LabelsMap().Len())
- assert.Equal(t, 0, md.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(2).Sum().DataPoints().At(0).LabelsMap().Len())
- assert.Equal(t, 0, md.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(3).Sum().DataPoints().At(0).LabelsMap().Len())
- assert.Equal(t, 0, md.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(4).Histogram().DataPoints().At(0).LabelsMap().Len())
+ assert.Equal(t, 0, md.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(0).Gauge().DataPoints().At(0).Attributes().Len())
+ assert.Equal(t, 0, md.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(1).Gauge().DataPoints().At(0).Attributes().Len())
+ assert.Equal(t, 0, md.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(2).Sum().DataPoints().At(0).Attributes().Len())
+ assert.Equal(t, 0, md.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(3).Sum().DataPoints().At(0).Attributes().Len())
+ assert.Equal(t, 0, md.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(4).Histogram().DataPoints().At(0).Attributes().Len())
 
- cloneMd := convertResourceToLabels(md)
+ cloneMd := convertResourceToAttributes(md)
 
  // After converting resource to labels
  assert.Equal(t, 1, cloneMd.ResourceMetrics().At(0).Resource().Attributes().Len())
- assert.Equal(t, 1, cloneMd.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(0).Gauge().DataPoints().At(0).LabelsMap().Len())
- assert.Equal(t, 1, cloneMd.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(1).Gauge().DataPoints().At(0).LabelsMap().Len())
- assert.Equal(t, 1, cloneMd.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(2).Sum().DataPoints().At(0).LabelsMap().Len())
- assert.Equal(t, 1, cloneMd.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(3).Sum().DataPoints().At(0).LabelsMap().Len())
- assert.Equal(t, 1, cloneMd.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(4).Histogram().DataPoints().At(0).LabelsMap().Len())
+ assert.Equal(t, 1, cloneMd.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(0).Gauge().DataPoints().At(0).Attributes().Len())
+ assert.Equal(t, 1, cloneMd.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(1).Gauge().DataPoints().At(0).Attributes().Len())
+ assert.Equal(t, 1, cloneMd.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(2).Sum().DataPoints().At(0).Attributes().Len())
+ assert.Equal(t, 1, cloneMd.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(3).Sum().DataPoints().At(0).Attributes().Len())
+ assert.Equal(t, 1, cloneMd.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(4).Histogram().DataPoints().At(0).Attributes().Len())
 
  assert.Equal(t, 1, md.ResourceMetrics().At(0).Resource().Attributes().Len())
- assert.Equal(t, 0, md.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(0).Gauge().DataPoints().At(0).LabelsMap().Len())
- assert.Equal(t, 0, md.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(1).Gauge().DataPoints().At(0).LabelsMap().Len())
- assert.Equal(t, 0, md.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(2).Sum().DataPoints().At(0).LabelsMap().Len())
- assert.Equal(t, 0, md.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(3).Sum().DataPoints().At(0).LabelsMap().Len())
- assert.Equal(t, 0, md.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(4).Histogram().DataPoints().At(0).LabelsMap().Len())
+ assert.Equal(t, 0, md.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(0).Gauge().DataPoints().At(0).Attributes().Len())
+ assert.Equal(t, 0, md.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(1).Gauge().DataPoints().At(0).Attributes().Len())
+ assert.Equal(t, 0, md.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(2).Sum().DataPoints().At(0).Attributes().Len())
+ assert.Equal(t, 0, md.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(3).Sum().DataPoints().At(0).Attributes().Len())
+ assert.Equal(t, 0, md.ResourceMetrics().At(0).InstrumentationLibraryMetrics().At(0).Metrics().At(4).Histogram().DataPoints().At(0).Attributes().Len())
 
 }

exporter/prometheusexporter/accumulator.go

@@ -105,7 +105,7 @@ func (a *lastValueAccumulator) accumulateSummary(metric pdata.Metric, il pdata.I
  for i := 0; i < dps.Len(); i++ {
  ip := dps.At(i)
 
- signature := timeseriesSignature(il.Name(), metric, ip.LabelsMap())
+ signature := timeseriesSignature(il.Name(), metric, ip.Attributes())
 
  v, ok := a.registeredMetrics.Load(signature)
  stalePoint := ok &&
@@ -130,7 +130,7 @@ func (a *lastValueAccumulator) accumulateGauge(metric pdata.Metric, il pdata.Ins
  for i := 0; i < dps.Len(); i++ {
  ip := dps.At(i)
 
- signature := timeseriesSignature(il.Name(), metric, ip.LabelsMap())
+ signature := timeseriesSignature(il.Name(), metric, ip.Attributes())
 
  v, ok := a.registeredMetrics.Load(signature)
  if !ok {
@@ -167,7 +167,7 @@ func (a *lastValueAccumulator) accumulateSum(metric pdata.Metric, il pdata.Instr
  for i := 0; i < dps.Len(); i++ {
  ip := dps.At(i)
 
- signature := timeseriesSignature(il.Name(), metric, ip.LabelsMap())
+ signature := timeseriesSignature(il.Name(), metric, ip.Attributes())
 
  v, ok := a.registeredMetrics.Load(signature)
  if !ok {
@@ -208,7 +208,7 @@ func (a *lastValueAccumulator) accumulateDoubleHistogram(metric pdata.Metric, il
  for i := 0; i < dps.Len(); i++ {
  ip := dps.At(i)
 
- signature := timeseriesSignature(il.Name(), metric, ip.LabelsMap())
+ signature := timeseriesSignature(il.Name(), metric, ip.Attributes())
 
  v, ok := a.registeredMetrics.Load(signature)
  if !ok {
@@ -256,13 +256,13 @@ func (a *lastValueAccumulator) Collect() []pdata.Metric {
  return res
 }
 
-func timeseriesSignature(ilmName string, metric pdata.Metric, labels pdata.StringMap) string {
+func timeseriesSignature(ilmName string, metric pdata.Metric, attributes pdata.AttributeMap) string {
  var b strings.Builder
  b.WriteString(metric.DataType().String())
  b.WriteString("*" + ilmName)
  b.WriteString("*" + metric.Name())
- labels.Sort().Range(func(k string, v string) bool {
- b.WriteString("*" + k + "*" + v)
+ attributes.Sort().Range(func(k string, v pdata.AttributeValue) bool {
+ b.WriteString("*" + k + "*" + v.StringVal())
  return true
  })
  return b.String()

exporter/prometheusexporter/accumulator_test.go

@@ -46,8 +46,8 @@ func TestAccumulateDeltaAggregation(t *testing.T) {
  metric.Sum().SetAggregationTemporality(pdata.AggregationTemporalityDelta)
  dp := metric.Sum().DataPoints().AppendEmpty()
  dp.SetIntVal(42)
- dp.LabelsMap().Insert("label_1", "1")
- dp.LabelsMap().Insert("label_2", "2")
+ dp.Attributes().InsertString("label_1", "1")
+ dp.Attributes().InsertString("label_2", "2")
  dp.SetTimestamp(pdata.TimestampFromTime(ts))
  },
  },
@@ -59,8 +59,8 @@ func TestAccumulateDeltaAggregation(t *testing.T) {
  metric.Sum().SetAggregationTemporality(pdata.AggregationTemporalityDelta)
  dp := metric.Sum().DataPoints().AppendEmpty()
  dp.SetDoubleVal(42.42)
- dp.LabelsMap().Insert("label_1", "1")
- dp.LabelsMap().Insert("label_2", "2")
+ dp.Attributes().InsertString("label_1", "1")
+ dp.Attributes().InsertString("label_2", "2")
  dp.SetTimestamp(pdata.TimestampFromTime(ts))
  },
  },
@@ -76,8 +76,8 @@ func TestAccumulateDeltaAggregation(t *testing.T) {
  dp.SetCount(7)
  dp.SetExplicitBounds([]float64{3.5, 10.0})
  dp.SetSum(42.42)
- dp.LabelsMap().Insert("label_1", "1")
- dp.LabelsMap().Insert("label_2", "2")
+ dp.Attributes().InsertString("label_1", "1")
+ dp.Attributes().InsertString("label_2", "2")
  dp.SetTimestamp(pdata.TimestampFromTime(ts))
  },
  },
@@ -94,7 +94,7 @@ func TestAccumulateDeltaAggregation(t *testing.T) {
  n := a.Accumulate(resourceMetrics)
  require.Equal(t, 0, n)
 
- signature := timeseriesSignature(ilm.InstrumentationLibrary().Name(), ilm.Metrics().At(0), pdata.NewStringMap())
+ signature := timeseriesSignature(ilm.InstrumentationLibrary().Name(), ilm.Metrics().At(0), pdata.NewAttributeMap())
  v, ok := a.registeredMetrics.Load(signature)
  require.False(t, ok)
  require.Nil(t, v)
@@ -116,8 +116,8 @@ func TestAccumulateMetrics(t *testing.T) {
  metric.SetDescription("test description")
  dp := metric.Gauge().DataPoints().AppendEmpty()
  dp.SetIntVal(int64(v))
- dp.LabelsMap().Insert("label_1", "1")
- dp.LabelsMap().Insert("label_2", "2")
+ dp.Attributes().InsertString("label_1", "1")
+ dp.Attributes().InsertString("label_2", "2")
  dp.SetTimestamp(pdata.TimestampFromTime(ts))
  },
  },
@@ -130,8 +130,8 @@ func TestAccumulateMetrics(t *testing.T) {
  metric.SetDescription("test description")
  dp := metric.Gauge().DataPoints().AppendEmpty()
  dp.SetDoubleVal(v)
- dp.LabelsMap().Insert("label_1", "1")
- dp.LabelsMap().Insert("label_2", "2")
+ dp.Attributes().InsertString("label_1", "1")
+ dp.Attributes().InsertString("label_2", "2")
  dp.SetTimestamp(pdata.TimestampFromTime(ts))
  },
  },
@@ -146,8 +146,8 @@ func TestAccumulateMetrics(t *testing.T) {
  metric.Sum().SetAggregationTemporality(pdata.AggregationTemporalityCumulative)
  dp := metric.Sum().DataPoints().AppendEmpty()
  dp.SetIntVal(int64(v))
- dp.LabelsMap().Insert("label_1", "1")
- dp.LabelsMap().Insert("label_2", "2")
+ dp.Attributes().InsertString("label_1", "1")
+ dp.Attributes().InsertString("label_2", "2")
  dp.SetTimestamp(pdata.TimestampFromTime(ts))
  },
  },
@@ -162,8 +162,8 @@ func TestAccumulateMetrics(t *testing.T) {
  metric.Sum().SetAggregationTemporality(pdata.AggregationTemporalityCumulative)
  dp := metric.Sum().DataPoints().AppendEmpty()
  dp.SetDoubleVal(v)
- dp.LabelsMap().Insert("label_1", "1")
- dp.LabelsMap().Insert("label_2", "2")
+ dp.Attributes().InsertString("label_1", "1")
+ dp.Attributes().InsertString("label_2", "2")
  dp.SetTimestamp(pdata.TimestampFromTime(ts))
  },
  },
@@ -178,8 +178,8 @@ func TestAccumulateMetrics(t *testing.T) {
  metric.Sum().SetAggregationTemporality(pdata.AggregationTemporalityCumulative)
  dp := metric.Sum().DataPoints().AppendEmpty()
  dp.SetIntVal(int64(v))
- dp.LabelsMap().Insert("label_1", "1")
- dp.LabelsMap().Insert("label_2", "2")
+ dp.Attributes().InsertString("label_1", "1")
+ dp.Attributes().InsertString("label_2", "2")
  dp.SetTimestamp(pdata.TimestampFromTime(ts))
  },
  },
@@ -194,8 +194,8 @@ func TestAccumulateMetrics(t *testing.T) {
  metric.SetDescription("test description")
  dp := metric.Sum().DataPoints().AppendEmpty()
  dp.SetDoubleVal(v)
- dp.LabelsMap().Insert("label_1", "1")
- dp.LabelsMap().Insert("label_2", "2")
+ dp.Attributes().InsertString("label_1", "1")
+ dp.Attributes().InsertString("label_2", "2")
  dp.SetTimestamp(pdata.TimestampFromTime(ts))
  },
  },
@@ -212,8 +212,8 @@ func TestAccumulateMetrics(t *testing.T) {
  dp.SetCount(7)
  dp.SetExplicitBounds([]float64{3.5, 10.0})
  dp.SetSum(v)
- dp.LabelsMap().Insert("label_1", "1")
- dp.LabelsMap().Insert("label_2", "2")
+ dp.Attributes().InsertString("label_1", "1")
+ dp.Attributes().InsertString("label_2", "2")
  dp.SetTimestamp(pdata.TimestampFromTime(ts))
  },
  },
@@ -249,7 +249,7 @@ func TestAccumulateMetrics(t *testing.T) {
 
  require.Equal(t, v.instrumentationLibrary.Name(), "test")
  require.Equal(t, v.value.DataType(), ilm2.Metrics().At(0).DataType())
- vLabels.Range(func(k, v string) bool {
+ vLabels.Range(func(k string, v pdata.AttributeValue) bool {
  r, _ := m2Labels.Get(k)
  require.Equal(t, r, v)
  return true
@@ -286,15 +286,15 @@ func TestAccumulateMetrics(t *testing.T) {
 }
 
 func getMetricProperties(metric pdata.Metric) (
- labels pdata.StringMap,
+ attributes pdata.AttributeMap,
  ts time.Time,
  value float64,
  temporality pdata.AggregationTemporality,
  isMonotonic bool,
 ) {
  switch metric.DataType() {
  case pdata.MetricDataTypeGauge:
- labels = metric.Gauge().DataPoints().At(0).LabelsMap()
+ attributes = metric.Gauge().DataPoints().At(0).Attributes()
  ts = metric.Gauge().DataPoints().At(0).Timestamp().AsTime()
  dp := metric.Gauge().DataPoints().At(0)
  switch dp.Type() {
@@ -306,7 +306,7 @@ func getMetricProperties(metric pdata.Metric) (
  temporality = pdata.AggregationTemporalityUnspecified
  isMonotonic = false
  case pdata.MetricDataTypeSum:
- labels = metric.Sum().DataPoints().At(0).LabelsMap()
+ attributes = metric.Sum().DataPoints().At(0).Attributes()
  ts = metric.Sum().DataPoints().At(0).Timestamp().AsTime()
  dp := metric.Sum().DataPoints().At(0)
  switch dp.Type() {
@@ -318,7 +318,7 @@ func getMetricProperties(metric pdata.Metric) (
  temporality = metric.Sum().AggregationTemporality()
  isMonotonic = metric.Sum().IsMonotonic()
  case pdata.MetricDataTypeHistogram:
- labels = metric.Histogram().DataPoints().At(0).LabelsMap()
+ attributes = metric.Histogram().DataPoints().At(0).Attributes()
  ts = metric.Histogram().DataPoints().At(0).Timestamp().AsTime()
  value = metric.Histogram().DataPoints().At(0).Sum()
  temporality = metric.Histogram().AggregationTemporality()