There are several approaches you can try to reduce the build time in a code scanning analysis.
Increase the memory or cores
If you're using GitHub-hosted runners for your code scanning analysis, consider upgrading to より大きなランナー (larger runner). These are GitHub-hosted runners with more RAM, CPU, and disk space than standard runners. For more information about より大きなランナー (larger runner) and code scanning, see より大きなランナーの使用 and Configuring larger runners for default setup.
If you're using self-hosted runners to run code scanning analysis, you can increase the memory or the number of cores on those runners. If you're using CodeQL with advanced setup for your analysis, review the recommended hardware resources for CodeQL to make sure your self-hosted runners meet those requirements. For more information, see CodeQL を実行するための推奨ハードウェア リソース.
Use matrix builds to parallelize the analysis
To speed up analysis of workflows that involve multiple jobs, you can modify your workflow to use a matrix. For more information, see ワークフローでのジョブのバリエーションの実行.
The default CodeQL 分析ワークフロー uses a matrix of languages, which causes the analysis of each language to run in parallel. However, if you're using CodeQL with advanced setup and you have specified the languages you want to analyze directly in the "Initialize CodeQL" step, analysis of each language will happen sequentially. In this configuration, you can speed up your analysis by modifying your advanced setup workflow to use a matrix. For an example, see the workflow extract in Some languages were not analyzed with CodeQL advanced setup.
Reduce the amount of code being analyzed in a single workflow
Analysis time is typically proportional to the amount of code being analyzed. If you're using CodeQL with advanced setup, you can reduce the analysis time by reducing the amount of code being analyzed at once. For example, by excluding test code, or breaking analysis into multiple workflows that analyze only a subset of your code at a time.
Java、Kotlin、Go、C、C++ および C# などのコンパイル言語の場合、CodeQL はワークフローの実行中にビルドされたすべてのコードを分析します。 分析するコードの量を制限するには、run ブロックで独自のビルド ステップを指定して、分析するコードのみをビルドします。 独自のビルド ステップの指定と、pull_request イベントや push イベントでの paths フィルターまたは paths-ignore フィルターの使用を組み合わせることで、特定のコードが変更されたときにのみワークフローが実行されるようにすることができます。 詳しくは、「GitHub Actions のワークフロー構文」をご覧ください。
ソース コードをコンパイルせずに CodeQL で分析される JavaScript、Python、TypeScript などの言語の場合、追加の構成オプションを指定して分析するコードの量を制限できます。 詳しくは、「Customizing your advanced setup for code scanning」をご覧ください。
If you split your CodeQL analysis into multiple workflows, we still recommend that you have at least one workflow which runs on a schedule which analyzes all of the code in your repository. Because CodeQL analyzes data flows between components, some complex security behaviors may only be detected on a complete build.
Run only during a schedule event
You may find that your analysis is slow during push or pull_request events. If so, you can set your analysis to only trigger on the schedule event. If you're using CodeQL for your code scanning analysis, you can configure this with an advanced setup workflow, but not in default setup. For more information, see GitHub Actions を理解する.
Check which queries or rules the workflow runs
Another option to reduce analysis time is to run only the queries or rules that you consider critical in workflows that run on pull requests. If you use a third-party tool for code scanning, you should refer to the documentation for the tool.
In CodeQL, there are two main query suites available for each language. If you have optimized the CodeQL database build and the process is still too long, you could reduce the number of queries you run. The default query suite is run automatically: it provides the best possible compromise between quality and speed.
If you're using CodeQL with advanced setup, you may be running extra queries or query suites in addition to the default queries. Check whether the workflow defines an additional query suite or additional queries to run using the queries element. You can experiment with disabling the additional query suite or queries. For more information, see Customizing your advanced setup for code scanning.