Awesome
📉 gobenchdata
gobenchdata
is a tool for parsing and inspecting go test -bench
data, and a GitHub Action for continuous benchmarking. It was inspired by the deno.land
continuous benchmarks, which aims to display performance improvements and regressions on a continuous basis.
GitHub Action
gobenchdata
can be used as GitHub Action for uploading Go benchmark data as
JSON to gh-pages
and visualizing it with a generated web app or your own web application.
Setup
The default action, uses: bobheadxi/gobenchdata@v1
, is distributed as a Docker container action.
This means that the Go version benchmarks are run with are tied to the version of Go that ships with the gobenchdata
action.
For greater flexibility, such as to use custom Go versions, see custom setup.
Learn more about GitHub Actions in the official documentation.
Docker container action
For example, in .github/workflows/push.yml
, using the new YAML syntax for workflows, a simple benchmark run and publish workflow would look like:
name: gobenchdata publish
on: push
jobs:
publish:
runs-on: ubuntu-latest
steps:
- name: checkout
uses: actions/checkout@v2
- name: gobenchdata publish
uses: bobheadxi/gobenchdata@v1
with:
PRUNE_COUNT: 30
GO_TEST_FLAGS: -cpu 1,2
PUBLISH: true
PUBLISH_BRANCH: gh-pages
env:
GITHUB_TOKEN: ${{ secrets.ACCESS_TOKEN }}
Custom setup
For greater flexibility and the ability to target custom Go versions, you can either:
- directly use the
entrypoint.sh
script, or some variant of it - run
gobenchdata action
, which replicates the behaviour of the GitHub Action
Using gobenchdata action
to replicate the Docker container action would look like:
name: gobenchdata publish
on: push
jobs:
publish:
runs-on: ubuntu-latest
steps:
- name: checkout
uses: actions/checkout@v2
- uses: actions/setup-go@v2
with: { go-version: "1.18" }
- name: gobenchdata publish
run: go run go.bobheadxi.dev/gobenchdata@v1 action
env:
GITHUB_TOKEN: ${{ secrets.ACCESS_TOKEN }}
# Instead of 'with: ...', provide environment variables and
# prefix each input variable with 'INPUT'
INPUT_PRUNE_COUNT: 30
INPUT_GO_TEST_FLAGS: -cpu 1,2
INPUT_PUBLISH: true
INPUT_PUBLISH_BRANCH: gh-pages
Configuration
inputs
Input variables are configured using
jobs.<job_id>.steps.with
.
Variable | Default | Purpose |
---|---|---|
SUBDIRECTORY | . | subdirectory of project to run commands from |
GO_BENCHMARKS | . | benchmarks to run (argument for -bench ) |
GO_TEST_FLAGS | additional flags for go test | |
GO_TEST_PKGS | ./... | packages to test (argument for go test ) |
Publishing
The following inputs
enable publishing - this merges and publishes benchmark results to a
repository and branch of your choice. This is most useful in conjunction with the gobenchdata
web application.
Variable | Default | Purpose |
---|---|---|
PUBLISH | false | if true , publishes results |
PUBLISH_REPO | an alternative repository to publish to | |
PUBLISH_BRANCH | gh-pages | branch to publish to |
PRUNE_COUNT | 0 | number of past runs to keep (0 keeps everything) |
GIT_COMMIT_MESSAGE | "add new benchmark run" | the commit message for the benchmark update |
BENCHMARKS_OUT | benchmarks.json | destination path of benchmark data |
Checks
The following inputs
are for enabling Pull Request Checks, which allow
you to watch for performance regressions in your pull requests.
Variable | Default | Purpose |
---|---|---|
CHECKS | false | if true , runs checks and sets JSON results to checks-results |
CHECKS_CONFIG | gobenchdata-checks.yml | path to checks configuration |
PUBLISH_REPO | repository of benchmark data to check against | |
PUBLISH_BRANCH | gh-pages | branch of benchmark data to check against |
BENCHMARKS_OUT | benchmarks.json | path to benchmark data to check against |
env
Environment variables are configured using
jobs.<job_id>.steps.env
.
Variable | Recommended | Purpose |
---|---|---|
GITHUB_TOKEN | ${{ secrets.GITHUB_TOKEN }} | token to provide access to repository |
GITHUB_ACTOR | set by GitHub | the user to make commits as |
Note that for GITHUB_TOKEN
, it seems that pushes to gh-pages
made by the default
secrets.GITHUB_TOKEN
might not trigger page builds. This issue can be resolved by using
a personal access token
instead.
Pull Request Checks
Instead of publishing results, benchmark output can be used to pass and fail pull requests
using CHECKS: true
. To get started, set up the checks configuration:
go install go.bobheadxi.dev/gobenchdata@latest
gobenchdata checks generate
This will generate a file, gobenchdata-checks.yml
, where you can configure what checks are
executed. The checks are run against any benchmarks that match given package
and benchmarks
values, which should be provided as regular expressions.
checks:
- name: My Check
description: |-
Define a check here - in this example, we caculate % difference for NsPerOp in the diff function.
diff is a function where you receive two parameters, current and base, and in general this function
should return a negative value for an improvement and a positive value for a regression.
package: .
benchmarks: []
diff: (current.NsPerOp - base.NsPerOp) / base.NsPerOp * 100
thresholds:
max: 10
</p>
</details>
Visualisation
The gobenchdata
GitHub action eventually generates a JSON file with past benchmarks.
You can visualize these continuous benchmarks by creating a web app that reads
from the JSON benchmarks file, or by using gobenchdata
. An easy way to get started is:
go install go.bobheadxi.dev/gobenchdata@latest
gobenchdata web generate --web.config-only .
gobenchdata web serve # opens visualization in browser
You can configure the web application using gobenchdata-web.yml
. The configuration allows
you to define groups of charts, where each group can be used to compare a set of benchmarks.
Benchmarks are selected with regular expressions by package and benchmark
names provided in the configuration.
Note that in each set of compared benchmarks, every metric will get its own chart. You can
select which metrics to display using the metrics
option.
title: gobenchdata web
description: Benchmarks generated using 'gobenchdata'
repository: https://github.com/bobheadxi/gobenchdata
benchmarksFile: benchmarks.json
chartGroups:
- name: Demo Benchmarks
description: |
This is a demo for gobenchdata, a tool and GitHub action for setting up simple continuous
benchmarks to monitor performance improvements and regressions in your Golang benchmarks!
charts:
- name: specify charts by package
package: go.bobheadxi.dev\/gobenchdata\/demo
- name: match on specific benchmarks across packages with glob patterns
benchmarks: [ 'BenchmarkFib.' ]
- name: More Demo Benchmarks
description: Create multiple groups of benchmarks
charts:
- name: match by a combination of package and benchmarks
package: go.bobheadxi.dev\/gobenchdata\/.
benchmarks: [ 'BenchmarkPizzas.', '.FibSlow.' ]
</p>
</details>
You can output the entire web application (to publish to Github pages, for example) using:
gobenchdata web generate ./app
<br />
Command Line Interface
gobenchdata
, which the GitHub Action leverages to manage benchmark data,
is also available as a CLI:
go install go.bobheadxi.dev/gobenchdata@latest
gobenchdata help
The easiest way to use the CLI is by piping the output of go test -bench
to
it - gobenchdata
will consume the output and generate a JSON report for you.
go test -bench . -benchmem ./... | gobenchdata --json bench.json
You can use this report to create your own charts, or just use the built-in web application:
gobenchdata web serve
gobenchdata
can also execute checks for you to help you ensure performance
regressions don't happen:
gobenchdata checks generate
gobenchdata checks eval ${base benchmarks} ${current benchmarks}
<details>
<summary>Example Report</summary>
<p>
BASE | CURRENT | PASSED CHECKS | FAILED CHECKS | TOTAL | |
---|---|---|---|---|---|
✅ | 5aa9b7f901e770f1364bfc849aaba0cc06066336 | abfdd5c29b1aff48cb22e0cbb6f4f7526ad85604 | 2 | 0 | 2 |
CHECK | PACKAGE | BENCHMARK | DIFF | COMMENT | |
---|---|---|---|---|---|
✅ | An example NsPerOp check | go.bobheadxi.dev/gobenchdata/demo | BenchmarkFib10/Fib() | -2.61 | |
✅ | An example NsPerOp check | go.bobheadxi.dev/gobenchdata/demo | BenchmarkFib10/Fib()-2 | -2.85 | |
✅ | An example NsPerOp check | go.bobheadxi.dev/gobenchdata/demo | BenchmarkFib10/FibSlow() | -2.47 | |
✅ | An example NsPerOp check | go.bobheadxi.dev/gobenchdata/demo | BenchmarkFib10/FibSlow()-2 | -2.19 | |
✅ | An example NsPerOp check | go.bobheadxi.dev/gobenchdata/demo | BenchmarkPizzas/Pizzas() | -1.85 | |
✅ | An example NsPerOp check | go.bobheadxi.dev/gobenchdata/demo | BenchmarkPizzas/Pizzas()-2 | -2.45 | |
✅ | An example NsPerOp check | go.bobheadxi.dev/gobenchdata/demo | BenchmarkPizzas/PizzasSquared() | -5.71 | |
✅ | An example NsPerOp check | go.bobheadxi.dev/gobenchdata/demo | BenchmarkPizzas/PizzasSquared()-2 | -3.03 | |
✅ | An example custom metric check | go.bobheadxi.dev/gobenchdata/demo | BenchmarkPizzas/Pizzas() | 8.00 | |
✅ | An example custom metric check | go.bobheadxi.dev/gobenchdata/demo | BenchmarkPizzas/Pizzas()-2 | 4.00 | |
✅ | An example custom metric check | go.bobheadxi.dev/gobenchdata/demo | BenchmarkPizzas/PizzasSquared() | 4.00 | |
✅ | An example custom metric check | go.bobheadxi.dev/gobenchdata/demo | BenchmarkPizzas/PizzasSquared()-2 | 1.00 |
For more details on how to use checks, see the pull request checks documentation.
The CLI also embeds the same script that the GitHub Action offers - see custom setup for more details.
<br />Contributions
Please report bugs and requests in the repository issues!
See CONTRIBUTING.md for more detailed development documentation.