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104 lines
3.5 KiB
Go
104 lines
3.5 KiB
Go
/*
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Copyright 2018 The Kubernetes Authors.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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*/
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package main
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import (
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"bytes"
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"encoding/json"
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"fmt"
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"os"
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benchparse "golang.org/x/tools/benchmark/parse"
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)
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// TODO(random-liu): Replace this with prometheus' data model.
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// The following performance data structures are generalized and well-formatted.
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// They can be pretty printed in json format and be analyzed by other performance
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// analyzing tools, such as Perfdash (k8s.io/contrib/perfdash).
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// DataItem is the data point.
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type DataItem struct {
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// Data is a map from bucket to real data point (e.g. "Perc90" -> 23.5). Notice
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// that all data items with the same label combination should have the same buckets.
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Data map[string]float64 `json:"data"`
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// Unit is the data unit. Notice that all data items with the same label combination
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// should have the same unit.
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Unit string `json:"unit"`
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// Labels is the labels of the data item.
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Labels map[string]string `json:"labels,omitempty"`
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}
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// PerfData contains all data items generated in current test.
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type PerfData struct {
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// Version is the version of the metrics. The metrics consumer could use the version
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// to detect metrics version change and decide what version to support.
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Version string `json:"version"`
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DataItems []DataItem `json:"dataItems"`
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// Labels is the labels of the dataset.
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Labels map[string]string `json:"labels,omitempty"`
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}
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func main() {
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err := run()
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if err != nil {
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panic(err)
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}
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}
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func run() error {
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if len(os.Args) < 2 {
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return fmt.Errorf("output filename is a required argument")
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}
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benchmarkSet, err := benchparse.ParseSet(os.Stdin)
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if err != nil {
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return err
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}
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data := PerfData{Version: "v1"}
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for _, benchMarks := range benchmarkSet {
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for _, benchMark := range benchMarks {
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data.DataItems = appendIfMeasured(data.DataItems, benchMark, benchparse.NsPerOp, "time", "μs", benchMark.NsPerOp/1000.0)
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data.DataItems = appendIfMeasured(data.DataItems, benchMark, benchparse.MBPerS, "throughput", "MBps", benchMark.MBPerS)
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data.DataItems = appendIfMeasured(data.DataItems, benchMark, benchparse.AllocedBytesPerOp, "allocated", "bytes", float64(benchMark.AllocedBytesPerOp))
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data.DataItems = appendIfMeasured(data.DataItems, benchMark, benchparse.AllocsPerOp, "allocations", "1", float64(benchMark.AllocsPerOp))
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data.DataItems = appendIfMeasured(data.DataItems, benchMark, 0, "iterations", "1", float64(benchMark.N))
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}
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}
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output := &bytes.Buffer{}
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if err := json.NewEncoder(output).Encode(data); err != nil {
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return err
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}
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formatted := &bytes.Buffer{}
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if err := json.Indent(formatted, output.Bytes(), "", " "); err != nil {
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return err
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}
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return os.WriteFile(os.Args[1], formatted.Bytes(), 0664)
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}
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func appendIfMeasured(items []DataItem, benchmark *benchparse.Benchmark, metricType int, metricName string, unit string, value float64) []DataItem {
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if metricType != 0 && (benchmark.Measured&metricType) == 0 {
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return items
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}
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return append(items, DataItem{
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Unit: unit,
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Labels: map[string]string{
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"benchmark": benchmark.Name,
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"metricName": metricName},
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Data: map[string]float64{
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"value": value}})
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}
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