opentelemetry-collector/processor/batchprocessor/splitmetrics.go

199 lines
6.2 KiB
Go

// Copyright The OpenTelemetry Authors
// SPDX-License-Identifier: Apache-2.0
package batchprocessor // import "go.opentelemetry.io/collector/processor/batchprocessor"
import (
"go.opentelemetry.io/collector/pdata/pmetric"
)
// splitMetrics removes metrics from the input data and returns a new data of the specified size.
func splitMetrics(size int, src pmetric.Metrics) pmetric.Metrics {
dataPoints := src.DataPointCount()
if dataPoints <= size {
return src
}
totalCopiedDataPoints := 0
dest := pmetric.NewMetrics()
src.ResourceMetrics().RemoveIf(func(srcRs pmetric.ResourceMetrics) bool {
// If we are done skip everything else.
if totalCopiedDataPoints == size {
return false
}
// If it fully fits
srcRsDataPointCount := resourceMetricsDPC(srcRs)
if (totalCopiedDataPoints + srcRsDataPointCount) <= size {
totalCopiedDataPoints += srcRsDataPointCount
srcRs.MoveTo(dest.ResourceMetrics().AppendEmpty())
return true
}
destRs := dest.ResourceMetrics().AppendEmpty()
srcRs.Resource().CopyTo(destRs.Resource())
srcRs.ScopeMetrics().RemoveIf(func(srcIlm pmetric.ScopeMetrics) bool {
// If we are done skip everything else.
if totalCopiedDataPoints == size {
return false
}
// If possible to move all metrics do that.
srcIlmDataPointCount := scopeMetricsDPC(srcIlm)
if srcIlmDataPointCount+totalCopiedDataPoints <= size {
totalCopiedDataPoints += srcIlmDataPointCount
srcIlm.MoveTo(destRs.ScopeMetrics().AppendEmpty())
return true
}
destIlm := destRs.ScopeMetrics().AppendEmpty()
srcIlm.Scope().CopyTo(destIlm.Scope())
srcIlm.Metrics().RemoveIf(func(srcMetric pmetric.Metric) bool {
// If we are done skip everything else.
if totalCopiedDataPoints == size {
return false
}
// If possible to move all points do that.
srcMetricPointCount := metricDPC(srcMetric)
if srcMetricPointCount+totalCopiedDataPoints <= size {
totalCopiedDataPoints += srcMetricPointCount
srcMetric.MoveTo(destIlm.Metrics().AppendEmpty())
return true
}
// If the metric has more data points than free slots we should split it.
copiedDataPoints, remove := splitMetric(srcMetric, destIlm.Metrics().AppendEmpty(), size-totalCopiedDataPoints)
totalCopiedDataPoints += copiedDataPoints
return remove
})
return false
})
return srcRs.ScopeMetrics().Len() == 0
})
return dest
}
// resourceMetricsDPC calculates the total number of data points in the pmetric.ResourceMetrics.
func resourceMetricsDPC(rs pmetric.ResourceMetrics) int {
dataPointCount := 0
ilms := rs.ScopeMetrics()
for k := 0; k < ilms.Len(); k++ {
dataPointCount += scopeMetricsDPC(ilms.At(k))
}
return dataPointCount
}
// scopeMetricsDPC calculates the total number of data points in the pmetric.ScopeMetrics.
func scopeMetricsDPC(ilm pmetric.ScopeMetrics) int {
dataPointCount := 0
ms := ilm.Metrics()
for k := 0; k < ms.Len(); k++ {
dataPointCount += metricDPC(ms.At(k))
}
return dataPointCount
}
// metricDPC calculates the total number of data points in the pmetric.Metric.
func metricDPC(ms pmetric.Metric) int {
switch ms.Type() {
case pmetric.MetricTypeGauge:
return ms.Gauge().DataPoints().Len()
case pmetric.MetricTypeSum:
return ms.Sum().DataPoints().Len()
case pmetric.MetricTypeHistogram:
return ms.Histogram().DataPoints().Len()
case pmetric.MetricTypeExponentialHistogram:
return ms.ExponentialHistogram().DataPoints().Len()
case pmetric.MetricTypeSummary:
return ms.Summary().DataPoints().Len()
}
return 0
}
// splitMetric removes metric points from the input data and moves data of the specified size to destination.
// Returns size of moved data and boolean describing, whether the metric should be removed from original slice.
func splitMetric(ms, dest pmetric.Metric, size int) (int, bool) {
dest.SetName(ms.Name())
dest.SetDescription(ms.Description())
dest.SetUnit(ms.Unit())
switch ms.Type() {
case pmetric.MetricTypeGauge:
return splitNumberDataPoints(ms.Gauge().DataPoints(), dest.SetEmptyGauge().DataPoints(), size)
case pmetric.MetricTypeSum:
destSum := dest.SetEmptySum()
destSum.SetAggregationTemporality(ms.Sum().AggregationTemporality())
destSum.SetIsMonotonic(ms.Sum().IsMonotonic())
return splitNumberDataPoints(ms.Sum().DataPoints(), destSum.DataPoints(), size)
case pmetric.MetricTypeHistogram:
destHistogram := dest.SetEmptyHistogram()
destHistogram.SetAggregationTemporality(ms.Histogram().AggregationTemporality())
return splitHistogramDataPoints(ms.Histogram().DataPoints(), destHistogram.DataPoints(), size)
case pmetric.MetricTypeExponentialHistogram:
destHistogram := dest.SetEmptyExponentialHistogram()
destHistogram.SetAggregationTemporality(ms.ExponentialHistogram().AggregationTemporality())
return splitExponentialHistogramDataPoints(ms.ExponentialHistogram().DataPoints(), destHistogram.DataPoints(), size)
case pmetric.MetricTypeSummary:
return splitSummaryDataPoints(ms.Summary().DataPoints(), dest.SetEmptySummary().DataPoints(), size)
}
return size, false
}
func splitNumberDataPoints(src, dst pmetric.NumberDataPointSlice, size int) (int, bool) {
dst.EnsureCapacity(size)
i := 0
src.RemoveIf(func(dp pmetric.NumberDataPoint) bool {
if i < size {
dp.MoveTo(dst.AppendEmpty())
i++
return true
}
return false
})
return size, false
}
func splitHistogramDataPoints(src, dst pmetric.HistogramDataPointSlice, size int) (int, bool) {
dst.EnsureCapacity(size)
i := 0
src.RemoveIf(func(dp pmetric.HistogramDataPoint) bool {
if i < size {
dp.MoveTo(dst.AppendEmpty())
i++
return true
}
return false
})
return size, false
}
func splitExponentialHistogramDataPoints(src, dst pmetric.ExponentialHistogramDataPointSlice, size int) (int, bool) {
dst.EnsureCapacity(size)
i := 0
src.RemoveIf(func(dp pmetric.ExponentialHistogramDataPoint) bool {
if i < size {
dp.MoveTo(dst.AppendEmpty())
i++
return true
}
return false
})
return size, false
}
func splitSummaryDataPoints(src, dst pmetric.SummaryDataPointSlice, size int) (int, bool) {
dst.EnsureCapacity(size)
i := 0
src.RemoveIf(func(dp pmetric.SummaryDataPoint) bool {
if i < size {
dp.MoveTo(dst.AppendEmpty())
i++
return true
}
return false
})
return size, false
}