Persisting workflow data using artifacts
Artifacts allow you to share data between jobs in a workflow and store data once that workflow has completed.
GitHub Actions is available with GitHub Free, GitHub Pro, GitHub Free for organizations, GitHub Team, GitHub Enterprise Cloud, and GitHub One. GitHub Actions is not available for private repositories owned by accounts using legacy per-repository plans. For more information, see "GitHub's products."
Artifacts allow you to persist data after a job has completed, and share that data with another job in the same workflow. An artifact is a file or collection of files produced during a workflow run. For example, you can use artifacts to save your build and test output after a workflow run has ended. For pushes and pull requests, GitHub stores artifacts for 90 days. The retention period for a pull request restarts each time someone pushes a new commit to the pull request.
These are some of the common artifacts that you can upload:
- Log files and core dumps
- Test results, failures, and screenshots
- Binary or compressed files
- Stress test performance output and code coverage results
Storing artifacts uses storage space on GitHub. GitHub Actions usage is free for public repositories. For private repositories, each GitHub account receives a certain amount of free minutes and storage, depending on the product used with the account. For more information, see "Managing billing for GitHub Actions."
Artifacts are uploaded during a workflow run, and you can view an artifact's name and size in the UI. When an artifact is downloaded using the GitHub UI, all files that were individually uploaded as part of the artifact get zipped together into a single file. This means that billing is calculated based on the size of the uploaded artifact and not the size of the zip file.
For GitHub-hosted runners, each job in a workflow runs in a fresh instance of a virtual environment. When the job completes, the runner terminates and deletes the instance of the virtual environment.
To share data between jobs:
- Uploading files: Give the uploaded file a name and upload the data before the job ends.
- Downloading files: You can only download artifacts that were uploaded during the same workflow run. When you download a file, you can reference it by name.
The steps of a job share the same environment on the runner machine, but run in their own individual processes. To pass data between steps in a job, you can use inputs and outputs. For more information about inputs and outputs, see "Metadata syntax for GitHub Actions."
You can use the
download-artifact actions to share data between jobs in a workflow. This example workflow illustrates how to pass data between jobs in the same workflow. For more information, see the actions/upload-artifact and download-artifact actions.
Jobs that are dependent on a previous job's artifacts must wait for the dependent job to complete successfully. This workflow uses the
needs keyword to ensure that
job_3 run sequentially. For example,
job_1 using the
needs: job_1 syntax.
Job 1 performs these steps:
- Performs a math calculation and saves the result to a text file called
- Uses the
upload-artifactaction to upload the
math-homework.txtfile with the name
homework. The action places the file in a directory named
Job 2 uses the result in the previous job:
- Downloads the
homeworkartifact uploaded in the previous job. By default, the
download-artifactaction downloads artifacts to the workspace directory that the step is executing in. You can use the
pathinput parameter to specify a different download directory.
- Reads the value in the
homework/math-homework.txtfile, performs a math calculation, and saves the result to
- Uploads the
math-homework.txtfile. This upload overwrites the previous upload because both of the uploads share the same name.
Job 3 displays the result uploaded in the previous job:
- Downloads the
- Prints the result of the math equation to the log.
The full math operation performed in this workflow example is
(3 + 7) x 9 = 90.
name: Share data between jobs on: [push] jobs: job_1: name: Add 3 and 7 runs-on: ubuntu-latest steps: - shell: bash run: | expr 3 + 7 > math-homework.txt - name: Upload math result for job 1 uses: actions/upload-artifact@v1 with: name: homework path: math-homework.txt job_2: name: Multiply by 9 needs: job_1 runs-on: windows-latest steps: - name: Download math result for job 1 uses: actions/download-artifact@v1 with: name: homework - shell: bash run: | value=`cat homework/math-homework.txt` expr $value \* 9 > homework/math-homework.txt - name: Upload math result for job 2 uses: actions/upload-artifact@v1 with: name: homework path: homework/math-homework.txt job_3: name: Display results needs: job_2 runs-on: macOS-latest steps: - name: Download math result for job 2 uses: actions/download-artifact@v1 with: name: homework - name: Print the final result shell: bash run: | value=`cat homework/math-homework.txt` echo The result is $value
After a workflow ends, you can download a compressed file of the uploaded artifacts on GitHub by finding the workflow run in the Actions tab. You can also use the GitHub REST API to download artifacts. For more information, see "Artifacts" in the GitHub Developer documentation.
If you need to access artifacts from a previous workflow run, you'll need to store the artifacts somewhere. For example, you could run a script at the end of your workflow to store build artifacts on Amazon S3 or Artifactory, and then use the storage service's API to retrieve those artifacts in a future workflow.
You can create a continuous integration (CI) workflow to build and test your code. For more information about using GitHub Actions to perform CI, see About continuous integration.
The output of building and testing your code often produces files you can use to debug test failures and production code that you can deploy. You can configure a workflow to build and test the code pushed to your repository and report a success or failure status. You can upload the build and test output to use for deployments, debugging failed tests or crashes, and viewing test suite coverage.
You can use the
upload-artifact action to upload artifacts. For more information, see the actions/upload-artifact action.
dist directory, you would deploy the files in the
dist directory to your web application server if all tests completed successfully.
|-- hello-world (repository) | └── dist | └── tests | └── src | └── sass/app.scss | └── app.ts | └── output | └── test |
This example shows you how to create a workflow for a Node.js project that
builds the code in the
src directory and runs the tests in the
tests directory. You can assume that running
npm test produces a code coverage report named
code-coverage.html stored in the
The workflow uploads the production artifacts in the
dist directory and the
code-coverage.html as two separate artifacts.
name: Node CI on: [push] jobs: build_and_test: runs-on: ubuntu-latest steps: - name: Checkout repository uses: actions/checkout@v2 - name: npm install, build, and test run: | npm install npm run build --if-present npm test - name: Archive production artifacts uses: actions/upload-artifact@v1 with: name: dist path: dist - name: Archive code coverage results uses: actions/upload-artifact@v1 with: name: code-coverage-report path: output/test/code-coverage.html
You can download artifacts that were uploaded during a workflow. Artifacts automatically expire after 90 days, but you can always reclaim used GitHub Actions storage by deleting artifacts before they expire on GitHub.
Warning: Once you delete an artifact, it can not be restored.
- On GitHub, navigate to the main page of the repository.
- Under your repository name, click Actions.
- In the left sidebar, click the workflow you want to see.
- Under "Workflow runs", click the name of the run you want to see.
- To download artifacts, use the Artifacts drop-down menu, and select the artifact you want to download.
- To delete artifacts, use the Artifacts drop-down menu, and click .