processor/lsmintervalprocessor/internal/data/expo/expotest/histogram.go (48 lines of code) (raw):
// Licensed to Elasticsearch B.V. under one or more contributor
// license agreements. See the NOTICE file distributed with
// this work for additional information regarding copyright
// ownership. Elasticsearch B.V. licenses this file to you 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.
// Copyright The OpenTelemetry Authors
// SPDX-License-Identifier: Apache-2.0
// This is a copy of the internal module from opentelemetry-collector-contrib:
// https://github.com/open-telemetry/opentelemetry-collector-contrib/tree/main/processor/deltatocumulativeprocessor/internal/data
package expotest // import "github.com/elastic/opentelemetry-collector-components/processor/lsmintervalprocessor/internal/data/expo/expotest"
import (
"go.opentelemetry.io/collector/pdata/pcommon"
"go.opentelemetry.io/collector/pdata/pmetric"
"github.com/elastic/opentelemetry-collector-components/processor/lsmintervalprocessor/internal/data/expo"
)
type Histogram struct {
Ts pcommon.Timestamp
Pos, Neg expo.Buckets
PosNeg expo.Buckets
Scale int
Count uint64
Sum *float64
Min, Max *float64
Zt float64
Zc uint64
}
func (hist Histogram) Into() expo.DataPoint {
dp := pmetric.NewExponentialHistogramDataPoint()
dp.SetTimestamp(hist.Ts)
if !zero(hist.PosNeg) {
hist.PosNeg.CopyTo(dp.Positive())
hist.PosNeg.CopyTo(dp.Negative())
}
if !zero(hist.Pos) {
hist.Pos.MoveTo(dp.Positive())
}
if !zero(hist.Neg) {
hist.Neg.MoveTo(dp.Negative())
}
dp.SetCount(hist.Count)
if hist.Sum != nil {
dp.SetSum(*hist.Sum)
}
if hist.Min != nil {
dp.SetMin(*hist.Min)
}
if hist.Max != nil {
dp.SetMax(*hist.Max)
}
dp.SetScale(int32(hist.Scale))
dp.SetZeroThreshold(hist.Zt)
dp.SetZeroCount(hist.Zc)
return dp
}
func zero[T comparable](v T) bool {
return v == *new(T)
}