mirror of
https://github.com/etcd-io/etcd.git
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tools/rw-heatmaps: reimplement in golang
Signed-off-by: Ivan Valdes <ivan@vald.es>
This commit is contained in:
Ivan Valdes
parent
266a3ba5ec
commit
1576e2e5a4
@ -2,25 +2,69 @@
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`etcd/tools/rw-heatmaps` is the mixed read/write performance evaluation tool for etcd clusters.
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## Installation
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Install the tool by running the following command from the etcd source directory.
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```sh
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$ go install -v ./tools/rw-heatmaps
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```
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The installation will place executables in the $GOPATH/bin. If $GOPATH environment variable is not set, the tool will be installed into the $HOME/go/bin. You can also find out the installed location by running the following command from the etcd source directory. Make sure that $PATH is set accordingly in your environment.
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```sh
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$ go list -f "{{.Target}}" ./tools/rw-heatmaps
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```
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Alternatively, instead of installing the tool, you can use it by simply running the following command from the etcd source directory.
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```sh
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$ go run ./tools/rw-heatmaps
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```
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## Execute
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### Benchmark
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To get a mixed read/write performance evaluation result:
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```sh
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# run with default configurations and specify the working directory
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./rw-benchmark.sh -w ${WORKING_DIR}
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# run with default configurations and specify the working directory
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$ ./rw-benchmark.sh -w ${WORKING_DIR}
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```
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`rw-benchmark.sh` will automatically use the etcd binary compiled under `etcd/bin/` directory.
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Note: the result csv file will be saved to current working directory. The working directory is where etcd database is saved. The working directory is designed for scenarios where a different mounted disk is preferred.
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Note: the result CSV file will be saved to current working directory. The working directory is where etcd database is saved. The working directory is designed for scenarios where a different mounted disk is preferred.
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### Plot Graphs
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To generate two images (read and write) based on the benchmark result csv file:
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To generate two images (read and write) based on the benchmark result CSV file:
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```sh
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# to generate a pair of read & write images from one data csv file
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./plot_data.py ${FIRST_CSV_FILE} -t ${IMAGE_TITLE} -o ${OUTPUT_IMAGE_NAME}
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# to generate a pair of read & write images by comparing two data csv files
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./plot_data.py ${FIRST_CSV_FILE} ${SECOND_CSV_FILE} -t ${IMAGE_TITLE} -o ${OUTPUT_IMAGE_NAME}
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# to generate a pair of read & write images from one data csv file
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$ rw-heatmaps ${CSV_FILE} -t ${IMAGE_TITLE} -o ${OUTPUT_IMAGE_NAME}
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```
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To generate two images (read and write) showing the performance difference from two result CSV files:
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```sh
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# to generate a pair of read & write images from one data csv file
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$ rw-heatmaps ${CSV_FILE1} ${CSV_FILE2} -t ${IMAGE_TITLE} -o ${OUTPUT_IMAGE_NAME}
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```
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To see the available options use the `--help` option.
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```sh
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$ rw-heatmaps --help
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rw-heatmaps is a tool to generate read/write heatmaps images for etcd3.
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Usage:
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rw-heatmaps [input file(s) in csv format] [flags]
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Flags:
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-h, --help help for rw-heatmaps
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-f, --output-format string output image file format (default "jpg")
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-o, --output-image-file string output image filename (required)
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-t, --title string plot graph title (required)
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--zero-centered plot the improvement graph with white color represents 0.0 (default true)
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```
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105
tools/rw-heatmaps/cmd/root.go
Normal file
105
tools/rw-heatmaps/cmd/root.go
Normal file
@ -0,0 +1,105 @@
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// Copyright 2024 The etcd Authors
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//
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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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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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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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package cmd
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import (
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"fmt"
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"github.com/spf13/cobra"
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"github.com/spf13/pflag"
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"go.etcd.io/etcd/tools/rw-heatmaps/v3/pkg/chart"
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"go.etcd.io/etcd/tools/rw-heatmaps/v3/pkg/dataset"
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)
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var (
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// ErrMissingTitleArg is returned when the title argument is missing.
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ErrMissingTitleArg = fmt.Errorf("missing title argument")
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// ErrMissingOutputImageFileArg is returned when the output image file argument is missing.
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ErrMissingOutputImageFileArg = fmt.Errorf("missing output image file argument")
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// ErrMissingInputFileArg is returned when the input file argument is missing.
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ErrMissingInputFileArg = fmt.Errorf("missing input file argument")
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// ErrInvalidOutputFormat is returned when the output format is invalid.
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ErrInvalidOutputFormat = fmt.Errorf("invalid output format, must be one of png, jpg, jpeg, tiff")
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)
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// NewRootCommand returns the root command for the rw-heatmaps tool.
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func NewRootCommand() *cobra.Command {
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o := newOptions()
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rootCmd := &cobra.Command{
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Use: "rw-heatmaps [input file(s) in csv format]",
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Short: "A tool to generate read/write heatmaps for etcd3",
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Long: "rw-heatmaps is a tool to generate read/write heatmaps images for etcd3.",
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Args: cobra.RangeArgs(1, 2),
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RunE: func(cmd *cobra.Command, args []string) error {
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if err := o.Validate(); err != nil {
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return err
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}
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datasets := make([]*dataset.DataSet, len(args))
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for i, arg := range args {
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var err error
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if datasets[i], err = dataset.LoadCSVData(arg); err != nil {
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return err
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}
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}
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return chart.PlotHeatMaps(datasets, o.title, o.outputImageFile, o.outputFormat, o.zeroCentered)
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},
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}
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o.AddFlags(rootCmd.Flags())
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return rootCmd
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}
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// options holds the options for the command.
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type options struct {
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title string
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outputImageFile string
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outputFormat string
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zeroCentered bool
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}
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// newOptions returns a new options for the command with the default values applied.
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func newOptions() options {
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return options{
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outputFormat: "jpg",
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zeroCentered: true,
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}
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}
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// AddFlags sets the flags for the command.
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func (o *options) AddFlags(fs *pflag.FlagSet) {
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fs.StringVarP(&o.title, "title", "t", o.title, "plot graph title (required)")
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fs.StringVarP(&o.outputImageFile, "output-image-file", "o", o.outputImageFile, "output image filename (required)")
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fs.StringVarP(&o.outputFormat, "output-format", "f", o.outputFormat, "output image file format")
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fs.BoolVar(&o.zeroCentered, "zero-centered", o.zeroCentered, "plot the improvement graph with white color represents 0.0")
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}
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// Validate returns an error if the options are invalid.
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func (o *options) Validate() error {
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if o.title == "" {
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return ErrMissingTitleArg
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}
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if o.outputImageFile == "" {
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return ErrMissingOutputImageFileArg
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}
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switch o.outputFormat {
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case "png", "jpg", "jpeg", "tiff":
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default:
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return ErrInvalidOutputFormat
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}
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return nil
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}
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23
tools/rw-heatmaps/go.mod
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23
tools/rw-heatmaps/go.mod
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module go.etcd.io/etcd/tools/rw-heatmaps/v3
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go 1.21
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require (
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github.com/spf13/cobra v1.8.0
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github.com/spf13/pflag v1.0.5
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gonum.org/v1/plot v0.14.0
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)
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require (
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git.sr.ht/~sbinet/gg v0.5.0 // indirect
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github.com/ajstarks/svgo v0.0.0-20211024235047-1546f124cd8b // indirect
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github.com/campoy/embedmd v1.0.0 // indirect
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github.com/go-fonts/liberation v0.3.1 // indirect
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github.com/go-latex/latex v0.0.0-20230307184459-12ec69307ad9 // indirect
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github.com/go-pdf/fpdf v0.8.0 // indirect
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github.com/golang/freetype v0.0.0-20170609003504-e2365dfdc4a0 // indirect
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github.com/inconshreveable/mousetrap v1.1.0 // indirect
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github.com/pmezard/go-difflib v1.0.0 // indirect
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golang.org/x/image v0.11.0 // indirect
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golang.org/x/text v0.12.0 // indirect
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)
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92
tools/rw-heatmaps/go.sum
Normal file
92
tools/rw-heatmaps/go.sum
Normal file
@ -0,0 +1,92 @@
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git.sr.ht/~sbinet/cmpimg v0.1.0 h1:E0zPRk2muWuCqSKSVZIWsgtU9pjsw3eKHi8VmQeScxo=
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git.sr.ht/~sbinet/cmpimg v0.1.0/go.mod h1:FU12psLbF4TfNXkKH2ZZQ29crIqoiqTZmeQ7dkp/pxE=
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git.sr.ht/~sbinet/gg v0.5.0 h1:6V43j30HM623V329xA9Ntq+WJrMjDxRjuAB1LFWF5m8=
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git.sr.ht/~sbinet/gg v0.5.0/go.mod h1:G2C0eRESqlKhS7ErsNey6HHrqU1PwsnCQlekFi9Q2Oo=
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github.com/BurntSushi/toml v0.3.1/go.mod h1:xHWCNGjB5oqiDr8zfno3MHue2Ht5sIBksp03qcyfWMU=
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github.com/ajstarks/deck v0.0.0-20200831202436-30c9fc6549a9/go.mod h1:JynElWSGnm/4RlzPXRlREEwqTHAN3T56Bv2ITsFT3gY=
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github.com/ajstarks/deck/generate v0.0.0-20210309230005-c3f852c02e19/go.mod h1:T13YZdzov6OU0A1+RfKZiZN9ca6VeKdBdyDV+BY97Tk=
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github.com/ajstarks/svgo v0.0.0-20211024235047-1546f124cd8b h1:slYM766cy2nI3BwyRiyQj/Ud48djTMtMebDqepE95rw=
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github.com/ajstarks/svgo v0.0.0-20211024235047-1546f124cd8b/go.mod h1:1KcenG0jGWcpt8ov532z81sp/kMMUG485J2InIOyADM=
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github.com/campoy/embedmd v1.0.0 h1:V4kI2qTJJLf4J29RzI/MAt2c3Bl4dQSYPuflzwFH2hY=
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github.com/campoy/embedmd v1.0.0/go.mod h1:oxyr9RCiSXg0M3VJ3ks0UGfp98BpSSGr0kpiX3MzVl8=
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github.com/cpuguy83/go-md2man/v2 v2.0.3/go.mod h1:tgQtvFlXSQOSOSIRvRPT7W67SCa46tRHOmNcaadrF8o=
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github.com/go-fonts/dejavu v0.1.0 h1:JSajPXURYqpr+Cu8U9bt8K+XcACIHWqWrvWCKyeFmVQ=
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github.com/go-fonts/dejavu v0.1.0/go.mod h1:4Wt4I4OU2Nq9asgDCteaAaWZOV24E+0/Pwo0gppep4g=
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github.com/go-fonts/latin-modern v0.3.1 h1:/cT8A7uavYKvglYXvrdDw4oS5ZLkcOU22fa2HJ1/JVM=
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github.com/go-fonts/latin-modern v0.3.1/go.mod h1:ysEQXnuT/sCDOAONxC7ImeEDVINbltClhasMAqEtRK0=
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github.com/go-fonts/liberation v0.3.1 h1:9RPT2NhUpxQ7ukUvz3jeUckmN42T9D9TpjtQcqK/ceM=
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github.com/go-fonts/liberation v0.3.1/go.mod h1:jdJ+cqF+F4SUL2V+qxBth8fvBpBDS7yloUL5Fi8GTGY=
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github.com/go-latex/latex v0.0.0-20230307184459-12ec69307ad9 h1:NxXI5pTAtpEaU49bpLpQoDsu1zrteW/vxzTz8Cd2UAs=
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github.com/go-latex/latex v0.0.0-20230307184459-12ec69307ad9/go.mod h1:gWuR/CrFDDeVRFQwHPvsv9soJVB/iqymhuZQuJ3a9OM=
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github.com/go-pdf/fpdf v0.8.0 h1:IJKpdaagnWUeSkUFUjTcSzTppFxmv8ucGQyNPQWxYOQ=
|
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github.com/go-pdf/fpdf v0.8.0/go.mod h1:gfqhcNwXrsd3XYKte9a7vM3smvU/jB4ZRDrmWSxpfdc=
|
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github.com/golang/freetype v0.0.0-20170609003504-e2365dfdc4a0 h1:DACJavvAHhabrF08vX0COfcOBJRhZ8lUbR+ZWIs0Y5g=
|
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github.com/golang/freetype v0.0.0-20170609003504-e2365dfdc4a0/go.mod h1:E/TSTwGwJL78qG/PmXZO1EjYhfJinVAhrmmHX6Z8B9k=
|
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github.com/inconshreveable/mousetrap v1.1.0 h1:wN+x4NVGpMsO7ErUn/mUI3vEoE6Jt13X2s0bqwp9tc8=
|
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github.com/inconshreveable/mousetrap v1.1.0/go.mod h1:vpF70FUmC8bwa3OWnCshd2FqLfsEA9PFc4w1p2J65bw=
|
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github.com/kisielk/gotool v1.0.0/go.mod h1:XhKaO+MFFWcvkIS/tQcRk01m1F5IRFswLeQ+oQHNcck=
|
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github.com/pmezard/go-difflib v1.0.0 h1:4DBwDE0NGyQoBHbLQYPwSUPoCMWR5BEzIk/f1lZbAQM=
|
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github.com/pmezard/go-difflib v1.0.0/go.mod h1:iKH77koFhYxTK1pcRnkKkqfTogsbg7gZNVY4sRDYZ/4=
|
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github.com/russross/blackfriday/v2 v2.1.0/go.mod h1:+Rmxgy9KzJVeS9/2gXHxylqXiyQDYRxCVz55jmeOWTM=
|
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github.com/spf13/cobra v1.8.0 h1:7aJaZx1B85qltLMc546zn58BxxfZdR/W22ej9CFoEf0=
|
||||
github.com/spf13/cobra v1.8.0/go.mod h1:WXLWApfZ71AjXPya3WOlMsY9yMs7YeiHhFVlvLyhcho=
|
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github.com/spf13/pflag v1.0.5 h1:iy+VFUOCP1a+8yFto/drg2CJ5u0yRoB7fZw3DKv/JXA=
|
||||
github.com/spf13/pflag v1.0.5/go.mod h1:McXfInJRrz4CZXVZOBLb0bTZqETkiAhM9Iw0y3An2Bg=
|
||||
github.com/yuin/goldmark v1.2.1/go.mod h1:3hX8gzYuyVAZsxl0MRgGTJEmQBFcNTphYh9decYSb74=
|
||||
github.com/yuin/goldmark v1.4.13/go.mod h1:6yULJ656Px+3vBD8DxQVa3kxgyrAnzto9xy5taEt/CY=
|
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golang.org/x/crypto v0.0.0-20190308221718-c2843e01d9a2/go.mod h1:djNgcEr1/C05ACkg1iLfiJU5Ep61QUkGW8qpdssI0+w=
|
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golang.org/x/crypto v0.0.0-20191011191535-87dc89f01550/go.mod h1:yigFU9vqHzYiE8UmvKecakEJjdnWj3jj499lnFckfCI=
|
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golang.org/x/crypto v0.0.0-20200622213623-75b288015ac9/go.mod h1:LzIPMQfyMNhhGPhUkYOs5KpL4U8rLKemX1yGLhDgUto=
|
||||
golang.org/x/crypto v0.0.0-20210921155107-089bfa567519/go.mod h1:GvvjBRRGRdwPK5ydBHafDWAxML/pGHZbMvKqRZ5+Abc=
|
||||
golang.org/x/exp v0.0.0-20230801115018-d63ba01acd4b h1:r+vk0EmXNmekl0S0BascoeeoHk/L7wmaW2QF90K+kYI=
|
||||
golang.org/x/exp v0.0.0-20230801115018-d63ba01acd4b/go.mod h1:FXUEEKJgO7OQYeo8N01OfiKP8RXMtf6e8aTskBGqWdc=
|
||||
golang.org/x/image v0.11.0 h1:ds2RoQvBvYTiJkwpSFDwCcDFNX7DqjL2WsUgTNk0Ooo=
|
||||
golang.org/x/image v0.11.0/go.mod h1:bglhjqbqVuEb9e9+eNR45Jfu7D+T4Qan+NhQk8Ck2P8=
|
||||
golang.org/x/mod v0.3.0/go.mod h1:s0Qsj1ACt9ePp/hMypM3fl4fZqREWJwdYDEqhRiZZUA=
|
||||
golang.org/x/mod v0.6.0-dev.0.20220419223038-86c51ed26bb4/go.mod h1:jJ57K6gSWd91VN4djpZkiMVwK6gcyfeH4XE8wZrZaV4=
|
||||
golang.org/x/mod v0.8.0/go.mod h1:iBbtSCu2XBx23ZKBPSOrRkjjQPZFPuis4dIYUhu/chs=
|
||||
golang.org/x/net v0.0.0-20190404232315-eb5bcb51f2a3/go.mod h1:t9HGtf8HONx5eT2rtn7q6eTqICYqUVnKs3thJo3Qplg=
|
||||
golang.org/x/net v0.0.0-20190620200207-3b0461eec859/go.mod h1:z5CRVTTTmAJ677TzLLGU+0bjPO0LkuOLi4/5GtJWs/s=
|
||||
golang.org/x/net v0.0.0-20201021035429-f5854403a974/go.mod h1:sp8m0HH+o8qH0wwXwYZr8TS3Oi6o0r6Gce1SSxlDquU=
|
||||
golang.org/x/net v0.0.0-20210226172049-e18ecbb05110/go.mod h1:m0MpNAwzfU5UDzcl9v0D8zg8gWTRqZa9RBIspLL5mdg=
|
||||
golang.org/x/net v0.0.0-20220722155237-a158d28d115b/go.mod h1:XRhObCWvk6IyKnWLug+ECip1KBveYUHfp+8e9klMJ9c=
|
||||
golang.org/x/net v0.6.0/go.mod h1:2Tu9+aMcznHK/AK1HMvgo6xiTLG5rD5rZLDS+rp2Bjs=
|
||||
golang.org/x/sync v0.0.0-20190423024810-112230192c58/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
|
||||
golang.org/x/sync v0.0.0-20201020160332-67f06af15bc9/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
|
||||
golang.org/x/sync v0.0.0-20220722155255-886fb9371eb4/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
|
||||
golang.org/x/sync v0.1.0/go.mod h1:RxMgew5VJxzue5/jJTE5uejpjVlOe/izrB70Jof72aM=
|
||||
golang.org/x/sys v0.0.0-20190215142949-d0b11bdaac8a/go.mod h1:STP8DvDyc/dI5b8T5hshtkjS+E42TnysNCUPdjciGhY=
|
||||
golang.org/x/sys v0.0.0-20190412213103-97732733099d/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
|
||||
golang.org/x/sys v0.0.0-20200930185726-fdedc70b468f/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
|
||||
golang.org/x/sys v0.0.0-20201119102817-f84b799fce68/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
|
||||
golang.org/x/sys v0.0.0-20210119212857-b64e53b001e4/go.mod h1:h1NjWce9XRLGQEsW7wpKNCjG9DtNlClVuFLEZdDNbEs=
|
||||
golang.org/x/sys v0.0.0-20210615035016-665e8c7367d1/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
|
||||
golang.org/x/sys v0.0.0-20220520151302-bc2c85ada10a/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
|
||||
golang.org/x/sys v0.0.0-20220722155257-8c9f86f7a55f/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
|
||||
golang.org/x/sys v0.5.0/go.mod h1:oPkhp1MJrh7nUepCBck5+mAzfO9JrbApNNgaTdGDITg=
|
||||
golang.org/x/term v0.0.0-20201126162022-7de9c90e9dd1/go.mod h1:bj7SfCRtBDWHUb9snDiAeCFNEtKQo2Wmx5Cou7ajbmo=
|
||||
golang.org/x/term v0.0.0-20210927222741-03fcf44c2211/go.mod h1:jbD1KX2456YbFQfuXm/mYQcufACuNUgVhRMnK/tPxf8=
|
||||
golang.org/x/term v0.5.0/go.mod h1:jMB1sMXY+tzblOD4FWmEbocvup2/aLOaQEp7JmGp78k=
|
||||
golang.org/x/text v0.3.0/go.mod h1:NqM8EUOU14njkJ3fqMW+pc6Ldnwhi/IjpwHt7yyuwOQ=
|
||||
golang.org/x/text v0.3.3/go.mod h1:5Zoc/QRtKVWzQhOtBMvqHzDpF6irO9z98xDceosuGiQ=
|
||||
golang.org/x/text v0.3.7/go.mod h1:u+2+/6zg+i71rQMx5EYifcz6MCKuco9NR6JIITiCfzQ=
|
||||
golang.org/x/text v0.7.0/go.mod h1:mrYo+phRRbMaCq/xk9113O4dZlRixOauAjOtrjsXDZ8=
|
||||
golang.org/x/text v0.12.0 h1:k+n5B8goJNdU7hSvEtMUz3d1Q6D/XW4COJSJR6fN0mc=
|
||||
golang.org/x/text v0.12.0/go.mod h1:TvPlkZtksWOMsz7fbANvkp4WM8x/WCo/om8BMLbz+aE=
|
||||
golang.org/x/tools v0.0.0-20180917221912-90fa682c2a6e/go.mod h1:n7NCudcB/nEzxVGmLbDWY5pfWTLqBcC2KZ6jyYvM4mQ=
|
||||
golang.org/x/tools v0.0.0-20191119224855-298f0cb1881e/go.mod h1:b+2E5dAYhXwXZwtnZ6UAqBI28+e2cm9otk0dWdXHAEo=
|
||||
golang.org/x/tools v0.1.0/go.mod h1:xkSsbof2nBLbhDlRMhhhyNLN/zl3eTqcnHD5viDpcZ0=
|
||||
golang.org/x/tools v0.1.12/go.mod h1:hNGJHUnrk76NpqgfD5Aqm5Crs+Hm0VOH/i9J2+nxYbc=
|
||||
golang.org/x/tools v0.6.0/go.mod h1:Xwgl3UAJ/d3gWutnCtw505GrjyAbvKui8lOU390QaIU=
|
||||
golang.org/x/xerrors v0.0.0-20190717185122-a985d3407aa7/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
|
||||
golang.org/x/xerrors v0.0.0-20191011141410-1b5146add898/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
|
||||
golang.org/x/xerrors v0.0.0-20200804184101-5ec99f83aff1/go.mod h1:I/5z698sn9Ka8TeJc9MKroUUfqBBauWjQqLJ2OPfmY0=
|
||||
gonum.org/v1/gonum v0.14.0 h1:2NiG67LD1tEH0D7kM+ps2V+fXmsAnpUeec7n8tcr4S0=
|
||||
gonum.org/v1/gonum v0.14.0/go.mod h1:AoWeoz0becf9QMWtE8iWXNXc27fK4fNeHNf/oMejGfU=
|
||||
gonum.org/v1/plot v0.14.0 h1:+LBDVFYwFe4LHhdP8coW6296MBEY4nQ+Y4vuUpJopcE=
|
||||
gonum.org/v1/plot v0.14.0/go.mod h1:MLdR9424SJed+5VqC6MsouEpig9pZX2VZ57H9ko2bXU=
|
||||
gopkg.in/check.v1 v0.0.0-20161208181325-20d25e280405/go.mod h1:Co6ibVJAznAaIkqp8huTwlJQCZ016jof/cbN4VW5Yz0=
|
||||
gopkg.in/yaml.v3 v3.0.1/go.mod h1:K4uyk7z7BCEPqu6E+C64Yfv1cQ7kz7rIZviUmN+EgEM=
|
||||
honnef.co/go/tools v0.1.3/go.mod h1:NgwopIslSNH47DimFoV78dnkksY2EFtX0ajyb3K/las=
|
||||
rsc.io/pdf v0.1.1 h1:k1MczvYDUvJBe93bYd7wrZLLUEcLZAuF824/I4e5Xr4=
|
||||
rsc.io/pdf v0.1.1/go.mod h1:n8OzWcQ6Sp37PL01nO98y4iUCRdTGarVfzxY20ICaU4=
|
||||
29
tools/rw-heatmaps/main.go
Normal file
29
tools/rw-heatmaps/main.go
Normal file
@ -0,0 +1,29 @@
|
||||
// Copyright 2024 The etcd 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 main
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"os"
|
||||
|
||||
"go.etcd.io/etcd/tools/rw-heatmaps/v3/cmd"
|
||||
)
|
||||
|
||||
func main() {
|
||||
if err := cmd.NewRootCommand().Execute(); err != nil {
|
||||
fmt.Fprintf(os.Stderr, "error: %v\n", err.Error())
|
||||
os.Exit(1)
|
||||
}
|
||||
}
|
||||
130
tools/rw-heatmaps/pkg/chart/heatmap_grid.go
Normal file
130
tools/rw-heatmaps/pkg/chart/heatmap_grid.go
Normal file
@ -0,0 +1,130 @@
|
||||
// Copyright 2024 The etcd 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 chart
|
||||
|
||||
import (
|
||||
"sort"
|
||||
|
||||
"go.etcd.io/etcd/tools/rw-heatmaps/v3/pkg/dataset"
|
||||
)
|
||||
|
||||
// heatMapGrid holds X, Y, Z values for a heatmap.
|
||||
type heatMapGrid struct {
|
||||
x, y []float64
|
||||
z [][]float64 // The Z values should be arranged in a 2D slice.
|
||||
}
|
||||
|
||||
// newHeatMapGrid returns a new heatMapGrid.
|
||||
func newHeatMapGrid(plotType string, records []dataset.DataRecord) *heatMapGrid {
|
||||
x, y := populateGridAxes(records)
|
||||
|
||||
// Create a 2D slice to hold the Z values.
|
||||
z := make([][]float64, len(y))
|
||||
for i := range z {
|
||||
z[i] = make([]float64, len(x))
|
||||
for j := range z[i] {
|
||||
recordIndex := i*len(x) + j
|
||||
// If the recordIndex is out of range (incomplete data), break the loop.
|
||||
if recordIndex >= len(records) {
|
||||
break
|
||||
}
|
||||
record := records[recordIndex]
|
||||
if plotType == "read" {
|
||||
z[i][j] = record.AvgRead
|
||||
} else {
|
||||
z[i][j] = record.AvgWrite
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return &heatMapGrid{x, y, z}
|
||||
}
|
||||
|
||||
// newDeltaHeatMapGrid returns a new heatMapGrid for the delta heatmap.
|
||||
func newDeltaHeatMapGrid(plotType string, records [][]dataset.DataRecord) *heatMapGrid {
|
||||
delta := make([]dataset.DataRecord, len(records[0]))
|
||||
for i := range records[0] {
|
||||
delta[i] = dataset.DataRecord{
|
||||
ConnSize: records[0][i].ConnSize,
|
||||
ValueSize: records[0][i].ValueSize,
|
||||
AvgRead: ((records[1][i].AvgRead - records[0][i].AvgRead) / records[0][i].AvgRead) * 100,
|
||||
AvgWrite: ((records[1][i].AvgWrite - records[0][i].AvgWrite) / records[0][i].AvgWrite) * 100,
|
||||
}
|
||||
}
|
||||
|
||||
return newHeatMapGrid(plotType, delta)
|
||||
}
|
||||
|
||||
// Dims returns the number of elements in the grid.
|
||||
// It implements the plotter.GridXYZ interface.
|
||||
func (h *heatMapGrid) Dims() (int, int) {
|
||||
return len(h.x), len(h.y)
|
||||
}
|
||||
|
||||
// Z returns the value of a grid cell at (c, r).
|
||||
// It implements the plotter.GridXYZ interface.
|
||||
func (h *heatMapGrid) Z(c, r int) float64 {
|
||||
return h.z[r][c]
|
||||
}
|
||||
|
||||
// X returns the coordinate for the column at index c.
|
||||
// It implements the plotter.GridXYZ interface.
|
||||
func (h *heatMapGrid) X(c int) float64 {
|
||||
if c >= len(h.x) {
|
||||
panic("index out of range")
|
||||
}
|
||||
return h.x[c]
|
||||
}
|
||||
|
||||
// Y returns the coordinate for the row at index r.
|
||||
// It implements the plotter.GridXYZ interface.
|
||||
func (h *heatMapGrid) Y(r int) float64 {
|
||||
if r >= len(h.y) {
|
||||
panic("index out of range")
|
||||
}
|
||||
return h.y[r]
|
||||
}
|
||||
|
||||
// populateGridAxes populates the X and Y axes for the heatmap grid.
|
||||
func populateGridAxes(records []dataset.DataRecord) ([]float64, []float64) {
|
||||
var xslice, yslice []float64
|
||||
|
||||
for _, record := range records {
|
||||
xslice = append(xslice, float64(record.ConnSize))
|
||||
yslice = append(yslice, float64(record.ValueSize))
|
||||
}
|
||||
|
||||
// Sort and deduplicate the slices
|
||||
xUnique := uniqueSortedFloats(xslice)
|
||||
yUnique := uniqueSortedFloats(yslice)
|
||||
|
||||
return xUnique, yUnique
|
||||
}
|
||||
|
||||
// uniqueSortedFloats returns a sorted slice of unique float64 values.
|
||||
func uniqueSortedFloats(input []float64) []float64 {
|
||||
unique := make([]float64, 0)
|
||||
seen := make(map[float64]bool)
|
||||
|
||||
for _, value := range input {
|
||||
if !seen[value] {
|
||||
seen[value] = true
|
||||
unique = append(unique, value)
|
||||
}
|
||||
}
|
||||
|
||||
sort.Float64s(unique)
|
||||
return unique
|
||||
}
|
||||
346
tools/rw-heatmaps/pkg/chart/heatmaps.go
Normal file
346
tools/rw-heatmaps/pkg/chart/heatmaps.go
Normal file
@ -0,0 +1,346 @@
|
||||
// Copyright 2024 The etcd 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 chart
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"image/color"
|
||||
"io"
|
||||
"math"
|
||||
"os"
|
||||
"strings"
|
||||
|
||||
"gonum.org/v1/plot"
|
||||
"gonum.org/v1/plot/font"
|
||||
"gonum.org/v1/plot/palette"
|
||||
"gonum.org/v1/plot/palette/brewer"
|
||||
"gonum.org/v1/plot/plotter"
|
||||
"gonum.org/v1/plot/vg"
|
||||
"gonum.org/v1/plot/vg/draw"
|
||||
"gonum.org/v1/plot/vg/vgimg"
|
||||
|
||||
"go.etcd.io/etcd/tools/rw-heatmaps/v3/pkg/dataset"
|
||||
)
|
||||
|
||||
// pow2Ticks is a type that implements the plot.Ticker interface for log2 scale.
|
||||
type pow2Ticks struct{}
|
||||
|
||||
// Ticks returns the ticks for the log2 scale.
|
||||
// It implements the plot.Ticker interface.
|
||||
func (pow2Ticks) Ticks(min, max float64) []plot.Tick {
|
||||
var t []plot.Tick
|
||||
for i := math.Log2(min); math.Pow(2, i) <= max; i++ {
|
||||
t = append(t, plot.Tick{
|
||||
Value: math.Pow(2, i),
|
||||
Label: fmt.Sprintf("2^%d", int(i)),
|
||||
})
|
||||
}
|
||||
return t
|
||||
}
|
||||
|
||||
// invertedPalette takes an existing palette and inverts it.
|
||||
type invertedPalette struct {
|
||||
base palette.Palette
|
||||
}
|
||||
|
||||
// Colors returns the sequence of colors in reverse order from the base palette.
|
||||
// It implements the palette.Palette interface.
|
||||
func (p invertedPalette) Colors() []color.Color {
|
||||
baseColors := p.base.Colors()
|
||||
invertedColors := make([]color.Color, len(baseColors))
|
||||
for i, c := range baseColors {
|
||||
invertedColors[len(baseColors)-i-1] = c
|
||||
}
|
||||
return invertedColors
|
||||
}
|
||||
|
||||
// PlotHeatMaps plots, and saves the heatmaps for the given dataset.
|
||||
func PlotHeatMaps(datasets []*dataset.DataSet, title, outputImageFile, outputFormat string, zeroCentered bool) error {
|
||||
plot.DefaultFont = font.Font{
|
||||
Typeface: "Liberation",
|
||||
Variant: "Sans",
|
||||
}
|
||||
|
||||
for _, plotType := range []string{"read", "write"} {
|
||||
var canvas *vgimg.Canvas
|
||||
if len(datasets) == 1 {
|
||||
canvas = plotHeatMapGrid(datasets[0], title, plotType)
|
||||
} else {
|
||||
canvas = plotComparisonHeatMapGrid(datasets, title, plotType, zeroCentered)
|
||||
}
|
||||
if err := saveCanvas(canvas, plotType, outputImageFile, outputFormat); err != nil {
|
||||
return err
|
||||
}
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
// plotHeatMapGrid plots a grid of heatmaps for the given dataset.
|
||||
func plotHeatMapGrid(dataset *dataset.DataSet, title, plotType string) *vgimg.Canvas {
|
||||
// Make a 4x2 grid of heatmaps.
|
||||
const rows, cols = 4, 2
|
||||
|
||||
// Set the width and height of the canvas.
|
||||
const width, height = 30 * vg.Centimeter, 40 * vg.Centimeter
|
||||
|
||||
canvas := vgimg.New(width, height)
|
||||
dc := draw.New(canvas)
|
||||
|
||||
// Create a tiled layout for the plots.
|
||||
t := draw.Tiles{
|
||||
Rows: rows,
|
||||
Cols: cols,
|
||||
PadX: vg.Millimeter * 4,
|
||||
PadY: vg.Millimeter * 4,
|
||||
PadTop: vg.Millimeter * 10,
|
||||
PadBottom: vg.Millimeter * 2,
|
||||
PadLeft: vg.Millimeter * 2,
|
||||
PadRight: vg.Millimeter * 2,
|
||||
}
|
||||
|
||||
// Store the plots and legends (scale label) in a grid.
|
||||
plots := make([][]*plot.Plot, rows)
|
||||
legends := make([][]plot.Legend, rows)
|
||||
for i := range plots {
|
||||
plots[i] = make([]*plot.Plot, cols)
|
||||
legends[i] = make([]plot.Legend, cols)
|
||||
}
|
||||
|
||||
// Load records into the grid.
|
||||
ratios := dataset.GetSortedRatios()
|
||||
row, col := 0, 0
|
||||
for _, ratio := range ratios {
|
||||
records := dataset.Records[ratio]
|
||||
p, l := plotIndividualHeatMap(fmt.Sprintf("R/W Ratio %0.04f", ratio), plotType, records)
|
||||
plots[row][col] = p
|
||||
legends[row][col] = l
|
||||
|
||||
if col++; col == cols {
|
||||
col = 0
|
||||
row++
|
||||
}
|
||||
}
|
||||
|
||||
// Fill the canvas with the plots and legends.
|
||||
canvases := plot.Align(plots, t, dc)
|
||||
for i := 0; i < rows; i++ {
|
||||
for j := 0; j < cols; j++ {
|
||||
// Continue if there is no plot in the current cell (incomplete data).
|
||||
if plots[i][j] == nil {
|
||||
continue
|
||||
}
|
||||
|
||||
l := legends[i][j]
|
||||
r := l.Rectangle(canvases[i][j])
|
||||
legendWidth := r.Max.X - r.Min.X
|
||||
// Adjust the legend down a little.
|
||||
l.YOffs = -plots[i][j].Title.TextStyle.FontExtents().Height
|
||||
l.Draw(canvases[i][j])
|
||||
|
||||
// Crop the plot to make space for the legend.
|
||||
c := draw.Crop(canvases[i][j], 0, -legendWidth-vg.Millimeter, 0, 0)
|
||||
plots[i][j].Draw(c)
|
||||
}
|
||||
}
|
||||
|
||||
// Add the title and parameter legend.
|
||||
l := plot.NewLegend()
|
||||
l.Add(fmt.Sprintf("%s [%s]", title, strings.ToUpper(plotType)))
|
||||
l.Add(dataset.Param)
|
||||
l.Top = true
|
||||
l.Left = true
|
||||
l.Draw(dc)
|
||||
|
||||
return canvas
|
||||
}
|
||||
|
||||
// plotComparisonHeatMapGrid plots a grid of heatmaps for the given datasets.
|
||||
func plotComparisonHeatMapGrid(datasets []*dataset.DataSet, title, plotType string, zeroCentered bool) *vgimg.Canvas {
|
||||
// Make a 8x3 grid of heatmaps.
|
||||
const rows, cols = 8, 3
|
||||
// Set the width and height of the canvas.
|
||||
const width, height = 40 * vg.Centimeter, 66 * vg.Centimeter
|
||||
|
||||
canvas := vgimg.New(width, height)
|
||||
dc := draw.New(canvas)
|
||||
|
||||
// Create a tiled layout for the plots.
|
||||
t := draw.Tiles{
|
||||
Rows: rows,
|
||||
Cols: cols,
|
||||
PadX: vg.Millimeter * 4,
|
||||
PadY: vg.Millimeter * 4,
|
||||
PadTop: vg.Millimeter * 15,
|
||||
PadBottom: vg.Millimeter * 2,
|
||||
PadLeft: vg.Millimeter * 2,
|
||||
PadRight: vg.Millimeter * 2,
|
||||
}
|
||||
|
||||
// Store the plots and legends (scale label) in a grid.
|
||||
plots := make([][]*plot.Plot, rows)
|
||||
legends := make([][]plot.Legend, rows)
|
||||
for i := range plots {
|
||||
plots[i] = make([]*plot.Plot, cols)
|
||||
legends[i] = make([]plot.Legend, cols)
|
||||
}
|
||||
|
||||
// Load records into the grid.
|
||||
ratios := datasets[0].GetSortedRatios()
|
||||
for row, ratio := range ratios {
|
||||
records := make([][]dataset.DataRecord, len(datasets))
|
||||
for col, dataset := range datasets {
|
||||
r := dataset.Records[ratio]
|
||||
p, l := plotIndividualHeatMap(fmt.Sprintf("R/W Ratio %0.04f", ratio), plotType, r)
|
||||
// Add the title to the first row.
|
||||
if row == 0 {
|
||||
p.Title.Text = fmt.Sprintf("%s\n%s", dataset.FileName, p.Title.Text)
|
||||
}
|
||||
|
||||
plots[row][col] = p
|
||||
legends[row][col] = l
|
||||
records[col] = r
|
||||
}
|
||||
plots[row][2], legends[row][2] = plotDeltaHeatMap(fmt.Sprintf("R/W Ratio %0.04f", ratio), plotType, records, zeroCentered)
|
||||
}
|
||||
|
||||
// Fill the canvas with the plots and legends.
|
||||
canvases := plot.Align(plots, t, dc)
|
||||
for i := 0; i < rows; i++ {
|
||||
for j := 0; j < cols; j++ {
|
||||
// Continue if there is no plot in the current cell (incomplete data).
|
||||
if plots[i][j] == nil {
|
||||
continue
|
||||
}
|
||||
|
||||
l := legends[i][j]
|
||||
r := l.Rectangle(canvases[i][j])
|
||||
legendWidth := r.Max.X - r.Min.X
|
||||
// Adjust the legend down a little.
|
||||
l.YOffs = -plots[i][j].Title.TextStyle.FontExtents().Height
|
||||
l.Draw(canvases[i][j])
|
||||
|
||||
// Crop the plot to make space for the legend.
|
||||
c := draw.Crop(canvases[i][j], 0, -legendWidth-vg.Millimeter, 0, 0)
|
||||
plots[i][j].Draw(c)
|
||||
}
|
||||
}
|
||||
|
||||
// Add the title and parameter legend.
|
||||
l := plot.NewLegend()
|
||||
l.Add(fmt.Sprintf("%s [%s]", title, strings.ToUpper(plotType)))
|
||||
for _, dataset := range datasets {
|
||||
l.Add(fmt.Sprintf("%s: %s", dataset.FileName, dataset.Param))
|
||||
}
|
||||
l.Top = true
|
||||
l.Left = true
|
||||
l.Draw(dc)
|
||||
|
||||
return canvas
|
||||
}
|
||||
|
||||
// saveCanvas saves the canvas to a file.
|
||||
func saveCanvas(canvas *vgimg.Canvas, plotType, outputImageFile, outputFormat string) error {
|
||||
f, err := os.Create(fmt.Sprintf("%s_%s.%s", outputImageFile, plotType, outputFormat))
|
||||
if err != nil {
|
||||
return err
|
||||
}
|
||||
defer f.Close()
|
||||
|
||||
var w io.WriterTo
|
||||
switch outputFormat {
|
||||
case "png":
|
||||
w = vgimg.PngCanvas{Canvas: canvas}
|
||||
case "jpeg", "jpg":
|
||||
w = vgimg.PngCanvas{Canvas: canvas}
|
||||
case "tiff":
|
||||
w = vgimg.TiffCanvas{Canvas: canvas}
|
||||
}
|
||||
|
||||
_, err = w.WriteTo(f)
|
||||
return err
|
||||
}
|
||||
|
||||
// plotIndividualHeatMap plots a heatmap for a given set of records.
|
||||
func plotIndividualHeatMap(title, plotType string, records []dataset.DataRecord) (*plot.Plot, plot.Legend) {
|
||||
p := plot.New()
|
||||
p.X.Scale = plot.LogScale{}
|
||||
p.X.Tick.Marker = pow2Ticks{}
|
||||
p.X.Label.Text = "Connections Amount"
|
||||
p.Y.Scale = plot.LogScale{}
|
||||
p.Y.Tick.Marker = pow2Ticks{}
|
||||
p.Y.Label.Text = "Value Size"
|
||||
|
||||
gridData := newHeatMapGrid(plotType, records)
|
||||
|
||||
// Use the YlGnBu color palette from ColorBrewer to match the original implementation.
|
||||
colors, _ := brewer.GetPalette(brewer.TypeAny, "YlGnBu", 9)
|
||||
pal := invertedPalette{colors}
|
||||
h := plotter.NewHeatMap(gridData, pal)
|
||||
|
||||
p.Title.Text = fmt.Sprintf("%s [%.2f, %.2f]", title, h.Min, h.Max)
|
||||
p.Add(h)
|
||||
|
||||
// Create a legend with the scale.
|
||||
legend := generateScaleLegend(h.Min, h.Max, pal)
|
||||
|
||||
return p, legend
|
||||
}
|
||||
|
||||
// plotDeltaHeatMap plots a heatmap for the delta between two sets of records.
|
||||
func plotDeltaHeatMap(title, plotType string, records [][]dataset.DataRecord, zeroCentered bool) (*plot.Plot, plot.Legend) {
|
||||
p := plot.New()
|
||||
p.X.Scale = plot.LogScale{}
|
||||
p.X.Tick.Marker = pow2Ticks{}
|
||||
p.X.Label.Text = "Connections Amount"
|
||||
p.Y.Scale = plot.LogScale{}
|
||||
p.Y.Tick.Marker = pow2Ticks{}
|
||||
p.Y.Label.Text = "Value Size"
|
||||
|
||||
gridData := newDeltaHeatMapGrid(plotType, records)
|
||||
|
||||
// Use the RdBu color palette from ColorBrewer to match the original implementation.
|
||||
colors, _ := brewer.GetPalette(brewer.TypeAny, "RdBu", 11)
|
||||
pal := invertedPalette{colors}
|
||||
h := plotter.NewHeatMap(gridData, pal)
|
||||
p.Title.Text = fmt.Sprintf("%s [%.2f%%, %.2f%%]", title, h.Min, h.Max)
|
||||
|
||||
if zeroCentered {
|
||||
if h.Min < 0 && math.Abs(h.Min) > h.Max {
|
||||
h.Max = math.Abs(h.Min)
|
||||
} else {
|
||||
h.Min = h.Max * -1
|
||||
}
|
||||
}
|
||||
|
||||
p.Add(h)
|
||||
|
||||
// Create a legend with the scale.
|
||||
legend := generateScaleLegend(h.Min, h.Max, pal)
|
||||
|
||||
return p, legend
|
||||
}
|
||||
|
||||
// generateScaleLegend generates legends for the heatmap.
|
||||
func generateScaleLegend(min, max float64, pal palette.Palette) plot.Legend {
|
||||
legend := plot.NewLegend()
|
||||
thumbs := plotter.PaletteThumbnailers(pal)
|
||||
step := (max - min) / float64(len(thumbs)-1)
|
||||
for i := len(thumbs) - 1; i >= 0; i-- {
|
||||
legend.Add(fmt.Sprintf("%.0f", min+step*float64(i)), thumbs[i])
|
||||
}
|
||||
legend.Top = true
|
||||
|
||||
return legend
|
||||
}
|
||||
122
tools/rw-heatmaps/pkg/dataset/dataset.go
Normal file
122
tools/rw-heatmaps/pkg/dataset/dataset.go
Normal file
@ -0,0 +1,122 @@
|
||||
// Copyright 2024 The etcd 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 dataset
|
||||
|
||||
import (
|
||||
"encoding/csv"
|
||||
"os"
|
||||
"path/filepath"
|
||||
"sort"
|
||||
"strconv"
|
||||
"strings"
|
||||
)
|
||||
|
||||
const (
|
||||
_ = iota
|
||||
// fieldIndexRatio is the index of the ratio field in the CSV file.
|
||||
fieldIndexRatio
|
||||
// fieldIndexConnSize is the index of the connection size (connSize) field in the CSV file.
|
||||
fieldIndexConnSize
|
||||
// fieldIndexValueSize is the index of the value size (valueSize) field in the CSV file.
|
||||
fieldIndexValueSize
|
||||
// fieldIndexIterOffset is the index of the first iteration field in the CSV file.
|
||||
fieldIndexIterOffset
|
||||
)
|
||||
|
||||
// DataSet holds the data for the heatmaps, including the parameter used for the run.
|
||||
type DataSet struct {
|
||||
// FileName is the name of the file from which the data was loaded.
|
||||
FileName string
|
||||
// Records is a map from the ratio of read to write operations to the data for that ratio.
|
||||
Records map[float64][]DataRecord
|
||||
// Param is the parameter used for the run.
|
||||
Param string
|
||||
}
|
||||
|
||||
// DataRecord holds the data for a single heatmap chart.
|
||||
type DataRecord struct {
|
||||
ConnSize int64
|
||||
ValueSize int64
|
||||
AvgRead float64
|
||||
AvgWrite float64
|
||||
}
|
||||
|
||||
// GetSortedRatios returns the sorted ratios of read to write operations in the dataset.
|
||||
func (d *DataSet) GetSortedRatios() []float64 {
|
||||
ratios := make([]float64, 0)
|
||||
for ratio := range d.Records {
|
||||
ratios = append(ratios, ratio)
|
||||
}
|
||||
sort.Float64s(ratios)
|
||||
return ratios
|
||||
}
|
||||
|
||||
// LoadCSVData loads the data from a CSV file into a DataSet.
|
||||
func LoadCSVData(inputFile string) (*DataSet, error) {
|
||||
file, err := os.Open(inputFile)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
defer file.Close()
|
||||
|
||||
reader := csv.NewReader(file)
|
||||
lines, err := reader.ReadAll()
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
|
||||
records := make(map[float64][]DataRecord)
|
||||
|
||||
// Count the number of iterations.
|
||||
iters := 0
|
||||
for _, header := range lines[0][fieldIndexIterOffset:] {
|
||||
if strings.HasPrefix(header, "iter") {
|
||||
iters++
|
||||
}
|
||||
}
|
||||
|
||||
// Running parameters are stored in the first line after the header, after the iteration fields.
|
||||
param := lines[1][fieldIndexIterOffset+iters]
|
||||
|
||||
for _, line := range lines[2:] { // Skip header line.
|
||||
ratio, _ := strconv.ParseFloat(line[fieldIndexRatio], 64)
|
||||
if _, ok := records[ratio]; !ok {
|
||||
records[ratio] = make([]DataRecord, 0)
|
||||
}
|
||||
connSize, _ := strconv.ParseInt(line[fieldIndexConnSize], 10, 64)
|
||||
valueSize, _ := strconv.ParseInt(line[fieldIndexValueSize], 10, 64)
|
||||
|
||||
// Calculate the average read and write values for the iterations.
|
||||
var readSum, writeSum float64
|
||||
for _, v := range line[fieldIndexIterOffset : fieldIndexIterOffset+iters] {
|
||||
splitted := strings.Split(v, ":")
|
||||
|
||||
readValue, _ := strconv.ParseFloat(splitted[0], 64)
|
||||
readSum += readValue
|
||||
|
||||
writeValue, _ := strconv.ParseFloat(splitted[1], 64)
|
||||
writeSum += writeValue
|
||||
}
|
||||
|
||||
records[ratio] = append(records[ratio], DataRecord{
|
||||
ConnSize: connSize,
|
||||
ValueSize: valueSize,
|
||||
AvgRead: readSum / float64(iters),
|
||||
AvgWrite: writeSum / float64(iters),
|
||||
})
|
||||
}
|
||||
|
||||
return &DataSet{FileName: filepath.Base(inputFile), Records: records, Param: param}, nil
|
||||
}
|
||||
@ -1,181 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
import sys
|
||||
import os
|
||||
import argparse
|
||||
import logging
|
||||
import pandas as pd
|
||||
import numpy as np
|
||||
import matplotlib.pyplot as plt
|
||||
import matplotlib.colors as colors
|
||||
|
||||
logging.basicConfig(format='[%(levelname)s %(asctime)s %(name)s] %(message)s')
|
||||
logger = logging.getLogger(__name__)
|
||||
logger.setLevel(logging.INFO)
|
||||
|
||||
params = None
|
||||
|
||||
|
||||
def parse_args():
|
||||
parser = argparse.ArgumentParser(
|
||||
description='plot graph using mixed read/write result file.')
|
||||
parser.add_argument('input_file_a', type=str,
|
||||
help='first input data files in csv format. (required)')
|
||||
parser.add_argument('input_file_b', type=str, nargs='?',
|
||||
help='second input data files in csv format. (optional)')
|
||||
parser.add_argument('-t', '--title', dest='title', type=str, required=True,
|
||||
help='plot graph title string')
|
||||
parser.add_argument('-z', '--zero-centered', dest='zero', action='store_true', required=False,
|
||||
help='plot the improvement graph with white color represents 0.0',
|
||||
default=True)
|
||||
parser.add_argument('--no-zero-centered', dest='zero', action='store_false', required=False,
|
||||
help='plot the improvement graph without white color represents 0.0')
|
||||
parser.add_argument('-o', '--output-image-file', dest='output', type=str, required=True,
|
||||
help='output image filename')
|
||||
parser.add_argument('-F', '--output-format', dest='format', type=str, default='png',
|
||||
help='output image file format. default: jpg')
|
||||
return parser.parse_args()
|
||||
|
||||
|
||||
def load_data_files(*args):
|
||||
df_list = []
|
||||
try:
|
||||
for i in args:
|
||||
if i is not None:
|
||||
logger.debug('loading csv file {}'.format(i))
|
||||
df_list.append(pd.read_csv(i))
|
||||
except FileNotFoundError as e:
|
||||
logger.error(str(e))
|
||||
sys.exit(1)
|
||||
res = []
|
||||
try:
|
||||
for df in df_list:
|
||||
param_df = df[df['type'] == 'PARAM']
|
||||
param_str = ''
|
||||
if len(param_df) != 0:
|
||||
param_str = param_df['comment'].iloc[0]
|
||||
new_df = df[df['type'] == 'DATA'][[
|
||||
'ratio', 'conn_size', 'value_size']].copy()
|
||||
cols = [x for x in df.columns if x.find('iter') != -1]
|
||||
tmp = [df[df['type'] == 'DATA'][x].str.split(':') for x in cols]
|
||||
|
||||
read_df = [x.apply(lambda x: float(x[0])) for x in tmp]
|
||||
read_avg = sum(read_df) / len(read_df)
|
||||
new_df['read'] = read_avg
|
||||
|
||||
write_df = [x.apply(lambda x: float(x[1])) for x in tmp]
|
||||
write_avg = sum(write_df) / len(write_df)
|
||||
new_df['write'] = write_avg
|
||||
|
||||
new_df['ratio'] = new_df['ratio'].astype(float)
|
||||
new_df['conn_size'] = new_df['conn_size'].astype(int)
|
||||
new_df['value_size'] = new_df['value_size'].astype(int)
|
||||
res.append({
|
||||
'dataframe': new_df,
|
||||
'param': param_str
|
||||
})
|
||||
except Exception as e:
|
||||
logger.error(str(e))
|
||||
sys.exit(1)
|
||||
return res
|
||||
|
||||
|
||||
# plot type is the type of the data to plot. Either 'read' or 'write'
|
||||
def plot_data(title, plot_type, cmap_name_default, *args):
|
||||
if len(args) == 1:
|
||||
fig_size = (12, 16)
|
||||
df0 = args[0]['dataframe']
|
||||
df0param = args[0]['param']
|
||||
fig = plt.figure(figsize=fig_size)
|
||||
count = 0
|
||||
for val, df in df0.groupby('ratio'):
|
||||
count += 1
|
||||
plt.subplot(4, 2, count)
|
||||
plt.tripcolor(df['conn_size'], df['value_size'], df[plot_type])
|
||||
plt.title('R/W Ratio {:.4f} [{:.2f}, {:.2f}]'.format(val, df[plot_type].min(),
|
||||
df[plot_type].max()))
|
||||
plt.yscale('log', base=2)
|
||||
plt.ylabel('Value Size')
|
||||
plt.xscale('log', base=2)
|
||||
plt.xlabel('Connections Amount')
|
||||
plt.colorbar()
|
||||
plt.tight_layout()
|
||||
fig.suptitle('{} [{}]\n{}'.format(title, plot_type.upper(), df0param))
|
||||
elif len(args) == 2:
|
||||
fig_size = (12, 26)
|
||||
df0 = args[0]['dataframe']
|
||||
df0param = args[0]['param']
|
||||
df1 = args[1]['dataframe']
|
||||
df1param = args[1]['param']
|
||||
fig = plt.figure(figsize=fig_size)
|
||||
col = 0
|
||||
delta_df = df1.copy()
|
||||
delta_df[[plot_type]] = ((df1[[plot_type]] - df0[[plot_type]]) /
|
||||
df0[[plot_type]]) * 100
|
||||
for tmp in [df0, df1, delta_df]:
|
||||
row = 0
|
||||
for val, df in tmp.groupby('ratio'):
|
||||
pos = row * 3 + col + 1
|
||||
plt.subplot(8, 3, pos)
|
||||
norm = None
|
||||
if col == 2:
|
||||
cmap_name = 'bwr'
|
||||
if params.zero:
|
||||
norm = colors.CenteredNorm()
|
||||
else:
|
||||
cmap_name = cmap_name_default
|
||||
plt.tripcolor(df['conn_size'], df['value_size'], df[plot_type],
|
||||
norm=norm,
|
||||
cmap=plt.get_cmap(cmap_name))
|
||||
if row == 0:
|
||||
if col == 0:
|
||||
plt.title('{}\nR/W Ratio {:.4f} [{:.1f}, {:.1f}]'.format(
|
||||
os.path.basename(params.input_file_a),
|
||||
val, df[plot_type].min(), df[plot_type].max()))
|
||||
elif col == 1:
|
||||
plt.title('{}\nR/W Ratio {:.4f} [{:.1f}, {:.1f}]'.format(
|
||||
os.path.basename(params.input_file_b),
|
||||
val, df[plot_type].min(), df[plot_type].max()))
|
||||
elif col == 2:
|
||||
plt.title('Gain\nR/W Ratio {:.4f} [{:.2f}%, {:.2f}%]'.format(val, df[plot_type].min(),
|
||||
df[plot_type].max()))
|
||||
else:
|
||||
if col == 2:
|
||||
plt.title('R/W Ratio {:.4f} [{:.2f}%, {:.2f}%]'.format(val, df[plot_type].min(),
|
||||
df[plot_type].max()))
|
||||
else:
|
||||
plt.title('R/W Ratio {:.4f} [{:.1f}, {:.1f}]'.format(val, df[plot_type].min(),
|
||||
df[plot_type].max()))
|
||||
plt.yscale('log', base=2)
|
||||
plt.ylabel('Value Size')
|
||||
plt.xscale('log', base=2)
|
||||
plt.xlabel('Connections Amount')
|
||||
|
||||
if col == 2:
|
||||
plt.colorbar(format='%.2f%%')
|
||||
else:
|
||||
plt.colorbar()
|
||||
plt.tight_layout()
|
||||
row += 1
|
||||
col += 1
|
||||
fig.suptitle('{} [{}]\n{} {}\n{} {}'.format(
|
||||
title, plot_type.upper(), os.path.basename(params.input_file_a), df0param,
|
||||
os.path.basename(params.input_file_b), df1param))
|
||||
else:
|
||||
raise Exception('invalid plot input data')
|
||||
fig.subplots_adjust(top=0.93)
|
||||
plt.savefig("{}_{}.{}".format(params.output, plot_type,
|
||||
params.format), format=params.format)
|
||||
|
||||
|
||||
def main():
|
||||
global params
|
||||
logging.basicConfig()
|
||||
params = parse_args()
|
||||
result = load_data_files(params.input_file_a, params.input_file_b)
|
||||
for i in [('read', 'viridis'), ('write', 'plasma')]:
|
||||
plot_type, cmap_name = i
|
||||
plot_data(params.title, plot_type, cmap_name, *result)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
main()
|
||||
@ -1,3 +0,0 @@
|
||||
matplotlib==3.7.1
|
||||
numpy==1.24.3
|
||||
pandas==2.0.1
|
||||
Loading…
x
Reference in New Issue
Block a user