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oc_to_metrics.go
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/
oc_to_metrics.go
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// Copyright The OpenTelemetry Authors
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package internaldata
import (
occommon "github.com/census-instrumentation/opencensus-proto/gen-go/agent/common/v1"
ocmetrics "github.com/census-instrumentation/opencensus-proto/gen-go/metrics/v1"
"go.opentelemetry.io/collector/consumer/consumerdata"
"go.opentelemetry.io/collector/consumer/pdata"
"go.opentelemetry.io/collector/internal"
"go.opentelemetry.io/collector/internal/data"
)
const (
invalidMetricType = pdata.MetricType(-1)
)
// OCSliceToMetricData converts a slice of OC data format to MetricData.
func OCSliceToMetricData(ocmds []consumerdata.MetricsData) data.MetricData {
metricData := data.NewMetricData()
if len(ocmds) == 0 {
return metricData
}
for _, ocmd := range ocmds {
appendOcToMetriData(ocmd, metricData)
}
return metricData
}
// OCToMetricData converts OC data format to MetricData.
func OCToMetricData(md consumerdata.MetricsData) data.MetricData {
metricData := data.NewMetricData()
appendOcToMetriData(md, metricData)
return metricData
}
func appendOcToMetriData(md consumerdata.MetricsData, dest data.MetricData) {
if md.Node == nil && md.Resource == nil && len(md.Metrics) == 0 {
return
}
rms := dest.ResourceMetrics()
initialRmsLen := rms.Len()
if len(md.Metrics) == 0 {
// At least one of the md.Node or md.Resource is not nil. Set the resource and return.
rms.Resize(initialRmsLen + 1)
ocNodeResourceToInternal(md.Node, md.Resource, rms.At(initialRmsLen).Resource())
return
}
// We may need to split OC metrics into several ResourceMetrics. OC metrics can have a
// Resource field inside them set to nil which indicates they use the Resource
// specified in "md.Resource", or they can have the Resource field inside them set
// to non-nil which indicates they have overridden Resource field and "md.Resource"
// does not apply to those metrics.
//
// Each OC metric that has its own Resource field set to non-nil must be placed in a
// separate ResourceMetrics instance, containing only that metric. All other OC Metrics
// that have nil Resource field must be placed in one other ResourceMetrics instance,
// which will gets its Resource field from "md.Resource".
//
// We will end up with with one or more ResourceMetrics like this:
//
// ResourceMetrics ResourceMetrics ResourceMetrics
// +-------+-------+---+-------+ +--------------+ +--------------+
// |Metric1|Metric2|...|MetricM| |Metric | |Metric | ...
// +-------+-------+---+-------+ +--------------+ +--------------+
// Count the number of metrics that have nil Resource and need to be combined
// in one slice.
combinedMetricCount := 0
distinctResourceCount := 0
for _, ocMetric := range md.Metrics {
if ocMetric == nil {
// Skip nil metrics.
continue
}
if ocMetric.Resource == nil {
combinedMetricCount++
} else {
distinctResourceCount++
}
}
// Total number of resources is equal to:
// 1 (for all metrics with nil resource) + numMetricsWithResource (distinctResourceCount).
rms.Resize(initialRmsLen + distinctResourceCount + 1)
rm0 := rms.At(initialRmsLen)
ocNodeResourceToInternal(md.Node, md.Resource, rm0.Resource())
// Allocate a slice for metrics that need to be combined into first ResourceMetrics.
ilms := rm0.InstrumentationLibraryMetrics()
ilms.Resize(1)
combinedMetrics := ilms.At(0).Metrics()
combinedMetrics.Resize(combinedMetricCount)
// Now do the metric translation and place them in appropriate ResourceMetrics
// instances.
// Index to next available slot in "combinedMetrics" slice.
combinedMetricIdx := 0
// First resourcemetric is used for the default resource, so start with 1.
resourceMetricIdx := 1
for _, ocMetric := range md.Metrics {
if ocMetric == nil {
// Skip nil metrics.
continue
}
if ocMetric.Resource == nil {
// Add the metric to the "combinedMetrics". combinedMetrics length is equal
// to combinedMetricCount. The loop above that calculates combinedMetricCount
// has exact same conditions as we have here in this loop.
ocMetricToInternal(ocMetric, combinedMetrics.At(combinedMetricIdx))
combinedMetricIdx++
} else {
// This metric has a different Resource and must be placed in a different
// ResourceMetrics instance. Create a separate ResourceMetrics item just for this metric
// and store at resourceMetricIdx.
ocMetricToResourceMetrics(ocMetric, md.Node, rms.At(initialRmsLen+resourceMetricIdx))
resourceMetricIdx++
}
}
}
func ocMetricToResourceMetrics(ocMetric *ocmetrics.Metric, node *occommon.Node, out pdata.ResourceMetrics) {
ocNodeResourceToInternal(node, ocMetric.Resource, out.Resource())
ilms := out.InstrumentationLibraryMetrics()
ilms.Resize(1)
metrics := ilms.At(0).Metrics()
metrics.Resize(1)
ocMetricToInternal(ocMetric, metrics.At(0))
}
// ocMetricToInternal conversts ocMetric to internal representation and fill metric
func ocMetricToInternal(ocMetric *ocmetrics.Metric, metric pdata.Metric) {
descriptorToInternal(ocMetric.GetMetricDescriptor(), metric.MetricDescriptor())
setDataPoints(ocMetric, metric)
}
func descriptorToInternal(ocDescriptor *ocmetrics.MetricDescriptor, descriptor pdata.MetricDescriptor) {
if ocDescriptor == nil {
return
}
descriptorType := descriptorTypeToInternal(ocDescriptor.Type)
if descriptorType == invalidMetricType {
return
}
descriptor.InitEmpty()
descriptor.SetType(descriptorType)
descriptor.SetDescription(ocDescriptor.GetDescription())
descriptor.SetName(ocDescriptor.GetName())
descriptor.SetUnit(ocDescriptor.GetUnit())
}
func descriptorTypeToInternal(t ocmetrics.MetricDescriptor_Type) pdata.MetricType {
switch t {
case ocmetrics.MetricDescriptor_UNSPECIFIED:
return pdata.MetricTypeInvalid
case ocmetrics.MetricDescriptor_GAUGE_INT64:
return pdata.MetricTypeInt64
case ocmetrics.MetricDescriptor_GAUGE_DOUBLE:
return pdata.MetricTypeDouble
case ocmetrics.MetricDescriptor_CUMULATIVE_INT64:
return pdata.MetricTypeMonotonicInt64
case ocmetrics.MetricDescriptor_CUMULATIVE_DOUBLE:
return pdata.MetricTypeMonotonicDouble
case ocmetrics.MetricDescriptor_CUMULATIVE_DISTRIBUTION:
return pdata.MetricTypeHistogram
case ocmetrics.MetricDescriptor_SUMMARY:
return pdata.MetricTypeSummary
default:
return invalidMetricType
}
}
// setDataPoints converts OC timeseries to internal datapoints based on metric type
func setDataPoints(ocMetric *ocmetrics.Metric, metric pdata.Metric) {
var int64DataPointsNum, doubleDataPointsNum, histogramDataPointsNum, summaryDataPointsNum int
ocLabelsKeys := ocMetric.GetMetricDescriptor().GetLabelKeys()
ocPointsCount := getPointsCount(ocMetric)
for _, timeseries := range ocMetric.GetTimeseries() {
if timeseries == nil {
continue
}
startTimestamp := internal.TimestampToUnixNano(timeseries.GetStartTimestamp())
for _, point := range timeseries.GetPoints() {
if point == nil {
continue
}
pointTimestamp := internal.TimestampToUnixNano(point.GetTimestamp())
switch point.Value.(type) {
case *ocmetrics.Point_Int64Value:
dataPoints := metric.Int64DataPoints()
if dataPoints.Len() == 0 {
dataPoints.Resize(ocPointsCount)
}
dataPoint := dataPoints.At(int64DataPointsNum)
dataPoint.SetStartTime(startTimestamp)
dataPoint.SetTimestamp(pointTimestamp)
setInt64DataPointValue(dataPoint, point)
setLabelsMap(ocLabelsKeys, timeseries.GetLabelValues(), dataPoint.LabelsMap())
int64DataPointsNum++
case *ocmetrics.Point_DoubleValue:
dataPoints := metric.DoubleDataPoints()
if dataPoints.Len() == 0 {
dataPoints.Resize(ocPointsCount)
}
dataPoint := dataPoints.At(doubleDataPointsNum)
dataPoint.SetStartTime(startTimestamp)
dataPoint.SetTimestamp(pointTimestamp)
setDoubleDataPointValue(dataPoint, point)
setLabelsMap(ocLabelsKeys, timeseries.GetLabelValues(), dataPoint.LabelsMap())
doubleDataPointsNum++
case *ocmetrics.Point_DistributionValue:
dataPoints := metric.HistogramDataPoints()
if dataPoints.Len() == 0 {
dataPoints.Resize(ocPointsCount)
}
dataPoint := dataPoints.At(histogramDataPointsNum)
dataPoint.SetStartTime(startTimestamp)
dataPoint.SetTimestamp(pointTimestamp)
setHistogramDataPointValue(dataPoint, point)
setLabelsMap(ocLabelsKeys, timeseries.GetLabelValues(), dataPoint.LabelsMap())
histogramDataPointsNum++
case *ocmetrics.Point_SummaryValue:
dataPoints := metric.SummaryDataPoints()
if dataPoints.Len() == 0 {
dataPoints.Resize(ocPointsCount)
}
dataPoint := dataPoints.At(summaryDataPointsNum)
dataPoint.SetStartTime(startTimestamp)
dataPoint.SetTimestamp(pointTimestamp)
setSummaryDataPointValue(dataPoint, point)
setLabelsMap(ocLabelsKeys, timeseries.GetLabelValues(), dataPoint.LabelsMap())
summaryDataPointsNum++
}
}
}
// If we allocated any of the data points slices, we did allocate them with empty points (resize),
// so make sure that we do not leave empty points at the end of any slice.
if metric.Int64DataPoints().Len() != 0 {
metric.Int64DataPoints().Resize(int64DataPointsNum)
}
if metric.DoubleDataPoints().Len() != 0 {
metric.DoubleDataPoints().Resize(doubleDataPointsNum)
}
if metric.HistogramDataPoints().Len() != 0 {
metric.HistogramDataPoints().Resize(histogramDataPointsNum)
}
if metric.SummaryDataPoints().Len() != 0 {
metric.SummaryDataPoints().Resize(summaryDataPointsNum)
}
}
func setLabelsMap(ocLabelsKeys []*ocmetrics.LabelKey, ocLabelValues []*ocmetrics.LabelValue, labelsMap pdata.StringMap) {
if len(ocLabelsKeys) == 0 || len(ocLabelValues) == 0 {
return
}
lablesCount := len(ocLabelsKeys)
// Handle invalid length of OC label values list
if len(ocLabelValues) < lablesCount {
lablesCount = len(ocLabelValues)
}
labelsMap.InitEmptyWithCapacity(lablesCount)
for i := 0; i < lablesCount; i++ {
if !ocLabelValues[i].GetHasValue() {
continue
}
labelsMap.Insert(ocLabelsKeys[i].Key, ocLabelValues[i].Value)
}
}
func setInt64DataPointValue(dataPoint pdata.Int64DataPoint, point *ocmetrics.Point) {
dataPoint.SetValue(point.GetInt64Value())
}
func setDoubleDataPointValue(dataPoint pdata.DoubleDataPoint, point *ocmetrics.Point) {
dataPoint.SetValue(point.GetDoubleValue())
}
func setHistogramDataPointValue(dataPoint pdata.HistogramDataPoint, point *ocmetrics.Point) {
distributionValue := point.GetDistributionValue()
dataPoint.SetSum(distributionValue.GetSum())
dataPoint.SetCount(uint64(distributionValue.GetCount()))
histogramBucketsToInternal(distributionValue.GetBuckets(), dataPoint.Buckets())
dataPoint.SetExplicitBounds(distributionValue.GetBucketOptions().GetExplicit().GetBounds())
}
func histogramBucketsToInternal(ocBuckets []*ocmetrics.DistributionValue_Bucket, buckets pdata.HistogramBucketSlice) {
buckets.Resize(len(ocBuckets))
for i := 0; i < buckets.Len(); i++ {
bucket := buckets.At(i)
bucket.SetCount(uint64(ocBuckets[i].GetCount()))
if ocBuckets[i].GetExemplar() != nil {
bucket.Exemplar().InitEmpty()
exemplarToInternal(ocBuckets[i].GetExemplar(), bucket.Exemplar())
}
}
}
func exemplarToInternal(ocExemplar *ocmetrics.DistributionValue_Exemplar, exemplar pdata.HistogramBucketExemplar) {
if ocExemplar.GetTimestamp() != nil {
exemplar.SetTimestamp(internal.TimestampToUnixNano(ocExemplar.GetTimestamp()))
}
exemplar.SetValue(ocExemplar.GetValue())
attachments := exemplar.Attachments()
ocAttachments := ocExemplar.GetAttachments()
attachments.InitEmptyWithCapacity(len(ocAttachments))
for k, v := range ocAttachments {
attachments.Upsert(k, v)
}
}
func setSummaryDataPointValue(dataPoint pdata.SummaryDataPoint, point *ocmetrics.Point) {
summaryValue := point.GetSummaryValue()
dataPoint.SetSum(summaryValue.GetSum().GetValue())
dataPoint.SetCount(uint64(summaryValue.GetCount().GetValue()))
percentileToInternal(summaryValue.GetSnapshot().GetPercentileValues(), dataPoint.ValueAtPercentiles())
}
func percentileToInternal(
ocPercentiles []*ocmetrics.SummaryValue_Snapshot_ValueAtPercentile,
percentiles pdata.SummaryValueAtPercentileSlice,
) {
percentiles.Resize(len(ocPercentiles))
for i := 0; i < percentiles.Len(); i++ {
percentile := percentiles.At(i)
percentile.SetPercentile(ocPercentiles[i].GetPercentile())
percentile.SetValue(ocPercentiles[i].GetValue())
}
}
func getPointsCount(ocMetric *ocmetrics.Metric) int {
timeseriesSlice := ocMetric.GetTimeseries()
var count int
for _, timeseries := range timeseriesSlice {
count += len(timeseries.GetPoints())
}
return count
}