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metric_processor.go
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/
metric_processor.go
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// Copyright Splunk, Inc.
//
// 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 timestampprocessor
import (
"context"
"fmt"
"go.opentelemetry.io/collector/pdata/pcommon"
"go.opentelemetry.io/collector/pdata/pmetric"
"go.opentelemetry.io/collector/processor/processorhelper"
"go.uber.org/zap"
)
func newMetricAttributesProcessor(_ *zap.Logger, offsetFn func(timestamp pcommon.Timestamp) pcommon.Timestamp) processorhelper.ProcessMetricsFunc {
return func(ctx context.Context, metrics pmetric.Metrics) (pmetric.Metrics, error) {
for i := 0; i < metrics.ResourceMetrics().Len(); i++ {
rs := metrics.ResourceMetrics().At(i)
for j := 0; j < rs.ScopeMetrics().Len(); j++ {
ss := rs.ScopeMetrics().At(j)
for k := 0; k < ss.Metrics().Len(); k++ {
metric := ss.Metrics().At(k)
switch metric.Type() {
case pmetric.MetricTypeGauge:
for l := 0; l < metric.Gauge().DataPoints().Len(); l++ {
dp := metric.Gauge().DataPoints().At(l)
dp.SetStartTimestamp(offsetFn(dp.StartTimestamp()))
dp.SetTimestamp(offsetFn(dp.Timestamp()))
for m := 0; m < dp.Exemplars().Len(); m++ {
e := dp.Exemplars().At(m)
e.SetTimestamp(offsetFn(e.Timestamp()))
}
}
case pmetric.MetricTypeHistogram:
for l := 0; l < metric.Histogram().DataPoints().Len(); l++ {
dp := metric.Histogram().DataPoints().At(l)
dp.SetStartTimestamp(offsetFn(dp.StartTimestamp()))
dp.SetTimestamp(offsetFn(dp.Timestamp()))
for m := 0; m < dp.Exemplars().Len(); m++ {
e := dp.Exemplars().At(m)
e.SetTimestamp(offsetFn(e.Timestamp()))
}
}
case pmetric.MetricTypeEmpty:
case pmetric.MetricTypeSum:
for l := 0; l < metric.Sum().DataPoints().Len(); l++ {
dp := metric.Sum().DataPoints().At(l)
dp.SetStartTimestamp(offsetFn(dp.StartTimestamp()))
dp.SetTimestamp(offsetFn(dp.Timestamp()))
for m := 0; m < dp.Exemplars().Len(); m++ {
e := dp.Exemplars().At(m)
e.SetTimestamp(offsetFn(e.Timestamp()))
}
}
case pmetric.MetricTypeExponentialHistogram:
for l := 0; l < metric.ExponentialHistogram().DataPoints().Len(); l++ {
dp := metric.ExponentialHistogram().DataPoints().At(l)
dp.SetStartTimestamp(offsetFn(dp.StartTimestamp()))
dp.SetTimestamp(offsetFn(dp.Timestamp()))
for m := 0; m < dp.Exemplars().Len(); m++ {
e := dp.Exemplars().At(m)
e.SetTimestamp(offsetFn(e.Timestamp()))
}
}
case pmetric.MetricTypeSummary:
for l := 0; l < metric.Summary().DataPoints().Len(); l++ {
dp := metric.Summary().DataPoints().At(l)
dp.SetStartTimestamp(offsetFn(dp.StartTimestamp()))
dp.SetTimestamp(offsetFn(dp.Timestamp()))
}
default:
return pmetric.Metrics{}, fmt.Errorf("unsupported metric type: %v", metric.Type())
}
}
}
}
return metrics, nil
}
}