CodeQL workflow (TarsCloud/TarsGo)
The CodeQL workflow from TarsCloud/TarsGo, explained and optimized by Latchkey.
C
CI health: C - fair
Point runs-on at Latchkey and get run de-duplication, job timeouts, self-healing for flaky steps, and up to 58% lower cost, applied automatically.
What it does
This is the CodeQL workflow from the TarsCloud/TarsGo repository, a real project running GitHub Actions. It is shown here with attribution under its BSD-3-Clause license.
Below, Latchkey shows a faster, safer version produced by its optimization engine.
The workflow
workflow (.yml)
name: "CodeQL"
on:
push:
branches: [ master ]
pull_request:
branches: [ master ]
schedule:
- cron: '20 20 * * 6'
jobs:
analyze:
name: Analyze
runs-on: ubuntu-latest
steps:
- name: Checkout repo
uses: actions/checkout@v2
- name: Initialize CodeQL
uses: github/codeql-action/init@v1
with:
languages: go
- name: Autobuild
uses: github/codeql-action/autobuild@v1
- name: CodeQL Analysis
uses: github/codeql-action/analyze@v1The same workflow, on Latchkey
Removes redundant runs and caps runaway jobs. Added and changed lines are highlighted.
name: "CodeQL" on: push: branches: [ master ] pull_request: branches: [ master ] schedule: - cron: '20 20 * * 6' concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: analyze: timeout-minutes: 30 name: Analyze runs-on: latchkey-small steps: - name: Checkout repo uses: actions/checkout@v2 - name: Initialize CodeQL uses: github/codeql-action/init@v1 with: languages: go - name: Autobuild uses: github/codeql-action/autobuild@v1 - name: CodeQL Analysis uses: github/codeql-action/analyze@v1
What changed
- Run on Latchkey managed runners with one line (
runs-on), which apply the fixes below automatically and self-heal transient failures. This example useslatchkey-small; pick the runner size that fits the job. - Cancel superseded runs when a branch or PR gets a newer push.
- Add a job timeout so a hung step cannot burn hours of runner time.
This workflow runs 1 job per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.