docs/content/github/finding-security-vulnerabilities-and-errors-in-your-code/running-codeql-code-scanning-in-a-container.md

title, shortTitle, intro, product, versions

title	shortTitle	intro	product	versions
Running CodeQL code scanning in a container	{% data variables.product.prodname_code_scanning_capc %} in a container	You can run {% data variables.product.prodname_code_scanning %} in a container by ensuring that all processes run in the same container.	{% data reusables.gated-features.code-scanning %}	free-pro-team enterprise-server * >=2.22

{% data reusables.code-scanning.beta %}

About {% data variables.product.prodname_code_scanning %} with a containerized build

If you're setting up {% data variables.product.prodname_code_scanning %} for a compiled language, and you're building the code in a containerized environment, the analysis may fail with the error message "No source code was seen during the build." This indicates that {% data variables.product.prodname_codeql %} was unable to monitor your code as it was compiled.

You must run {% data variables.product.prodname_codeql %} in the same container in which you build your code. This applies whether you are using the {% data variables.product.prodname_codeql_runner %}, or {% data variables.product.prodname_actions %}. If you're using the {% data variables.product.prodname_codeql_runner %}, run it in the container where your code builds. For more information about the {% data variables.product.prodname_codeql_runner %}, see "Running {% data variables.product.prodname_codeql %} in your CI system." If you're using {% data variables.product.prodname_actions %}, configure your workflow to run all the actions in the same container. For more information, see "Example workflow."

Dependencies

You may have difficulty running {% data variables.product.prodname_code_scanning %} if the container you're using is missing certain dependencies (for example, Git must be installed and added to the PATH variable). If you encounter dependency issues, review the list of software typically included on {% data variables.product.prodname_dotcom %}'s virtual environments. For more information, see the version-specific readme files in these locations:

• Linux: https://github.com/actions/virtual-environments/tree/main/images/linux
• macOS: https://github.com/actions/virtual-environments/tree/main/images/macos
• Windows: https://github.com/actions/virtual-environments/tree/main/images/win

Example workflow

This sample workflow uses {% data variables.product.prodname_actions %} to run {% data variables.product.prodname_codeql %} analysis in a containerized environment. The value of container.image identifies the container to use. In this example the image is named codeql-container, with a tag of f0f91db. For more information, see "Workflow syntax for {% data variables.product.prodname_actions %}."

name: "{% data variables.product.prodname_codeql %}"

on: 
  push:
    branches: [main]
  pull_request:
    branches: [main]
  schedule:
    - cron: '0 0 * * 0'

jobs:
  analyze:
    name: Analyze
    runs-on: ubuntu-latest 

    strategy:
      fail-fast: false
      matrix:
        language: [java]

    # Specify the container in which actions will run
    container:
      image: codeql-container:f0f91db

    steps:
    - name: Checkout repository
      uses: actions/checkout@v2
    - name: Initialize {% data variables.product.prodname_codeql %}
      uses: github/codeql-action/init@v1
      with:
        languages: {% raw %}${{ matrix.language }}{% endraw %}
    - name: Build
      run: |
        ./configure
        make
    - name: Perform {% data variables.product.prodname_codeql %} Analysis
      uses: github/codeql-action/analyze@v1