Top Related Projects
Cache dependencies and build outputs in GitHub Actions
Action for checking out a repo
Set up your GitHub Actions workflow with a specific version of node.js
Write workflows scripting the GitHub API in JavaScript
Quick Overview
The actions/upload-artifact is a GitHub Action that allows you to upload build and test artifacts from your workflow runs. This action is part of GitHub's official Actions ecosystem and is designed to help developers share and persist data between jobs in a workflow or store data once a workflow is complete.
Pros
- Easy integration with GitHub Actions workflows
- Supports uploading multiple files and directories
- Allows for customizable artifact retention periods
- Provides a simple way to share data between jobs or store workflow outputs
Cons
- Limited to GitHub's ecosystem, not usable outside of GitHub Actions
- File size and storage limitations based on GitHub's policies
- May increase workflow execution time for large artifacts
- Potential security risks if sensitive data is uploaded without proper precautions
Getting Started
To use the upload-artifact action in your GitHub Actions workflow, add the following step to your job:
- uses: actions/upload-artifact@v3
with:
name: my-artifact
path: path/to/artifact/
retention-days: 5
This example uploads the contents of the path/to/artifact/ directory as an artifact named my-artifact with a retention period of 5 days. Adjust the name, path, and retention-days values as needed for your specific use case.
For more advanced usage and configuration options, refer to the official documentation in the GitHub repository.
Competitor Comparisons
Pros of download-artifact
- Allows retrieval of previously uploaded artifacts in subsequent jobs or workflows
- Enables sharing of build outputs across different stages of CI/CD pipelines
- Supports downloading multiple artifacts in a single action
Cons of download-artifact
- Requires a corresponding upload-artifact action to have been executed previously
- Limited control over file permissions of downloaded artifacts
- May increase workflow execution time if downloading large artifacts
Code Comparison
upload-artifact:
- uses: actions/upload-artifact@v3
with:
name: my-artifact
path: path/to/artifact/
download-artifact:
- uses: actions/download-artifact@v3
with:
name: my-artifact
Key Differences
- upload-artifact is used to store files for later use, while download-artifact retrieves those files
- upload-artifact requires specifying a path to upload, whereas download-artifact needs only the artifact name
- download-artifact can be used across different jobs and workflows, providing more flexibility in CI/CD pipelines
Both actions work together to facilitate file sharing and persistence in GitHub Actions workflows, with upload-artifact creating artifacts and download-artifact retrieving them when needed.
Cache dependencies and build outputs in GitHub Actions
Pros of cache
- Faster retrieval and storage of data between workflow runs
- Automatic cleanup of unused caches to save storage space
- Ability to share caches across different workflows and branches
Cons of cache
- Limited to 10GB per repository
- Cannot be downloaded or accessed outside of GitHub Actions
- May require more complex configuration for specific use cases
Code comparison
upload-artifact:
- uses: actions/upload-artifact@v3
with:
name: my-artifact
path: path/to/artifact
cache:
- uses: actions/cache@v3
with:
path: path/to/dependencies
key: ${{ runner.os }}-deps-${{ hashFiles('**/package-lock.json') }}
Key differences
- upload-artifact is designed for storing build outputs or test results
- cache is optimized for storing dependencies or intermediate build products
- upload-artifact retains data for 90 days by default
- cache automatically expires unused items after 7 days
- upload-artifact allows manual download of artifacts from the GitHub UI
- cache is only accessible within GitHub Actions workflows
Both actions serve different purposes and can be used complementarily in workflows. cache is better for speeding up builds by storing dependencies, while upload-artifact is ideal for preserving build outputs for later analysis or deployment.
Action for checking out a repo
Pros of checkout
- Clones the entire repository, providing access to all files and history
- Allows for seamless integration with other Git-based operations in workflows
- Supports checking out specific branches, tags, or commit SHAs
Cons of checkout
- Can be slower for large repositories due to cloning the entire history
- Consumes more disk space on the runner, which may be an issue for large repos
- Not ideal for workflows that only need a subset of files or artifacts
Code comparison
checkout:
- uses: actions/checkout@v3
with:
fetch-depth: 1
ref: main
upload-artifact:
- uses: actions/upload-artifact@v3
with:
name: my-artifact
path: path/to/artifact
Key differences
- checkout is used to clone repositories, while upload-artifact is for storing build outputs
- checkout is typically used at the beginning of a workflow, upload-artifact at the end
- upload-artifact allows for selective file/directory uploads, checkout clones the entire repo
- Artifacts uploaded with upload-artifact can be downloaded in subsequent jobs or workflows
Use cases
- Use checkout when you need access to the repository's files and Git history
- Use upload-artifact when you want to save specific files or build outputs for later use
- Often, both actions are used in conjunction within a single workflow
Set up your GitHub Actions workflow with a specific version of node.js
Pros of setup-node
- Installs and configures Node.js for use in GitHub Actions workflows
- Supports multiple Node.js versions and package managers
- Caches dependencies for faster subsequent runs
Cons of setup-node
- Limited to Node.js-specific setups
- Doesn't provide artifact storage or sharing between jobs
Code comparison
setup-node:
- uses: actions/setup-node@v3
with:
node-version: '14'
cache: 'npm'
- run: npm ci
- run: npm test
upload-artifact:
- uses: actions/upload-artifact@v3
with:
name: dist-files
path: dist/
Key differences
- Purpose: setup-node prepares Node.js environment, while upload-artifact stores build outputs
- Scope: setup-node is Node.js-specific, upload-artifact is language-agnostic
- Functionality: setup-node configures runtime, upload-artifact preserves files for later use
Use cases
- setup-node: Node.js projects, running tests, building applications
- upload-artifact: Storing build artifacts, sharing files between jobs, preserving outputs for deployment
Both actions serve different purposes in the CI/CD pipeline and can be used together in a workflow to set up the environment, run tests or builds, and then store the resulting artifacts.
Write workflows scripting the GitHub API in JavaScript
Pros of github-script
- More versatile, allowing complex JavaScript operations and API interactions
- Can perform a wide range of GitHub Actions tasks beyond artifact handling
- Enables dynamic, conditional workflows based on runtime information
Cons of github-script
- Steeper learning curve, requiring JavaScript knowledge
- May be overkill for simple artifact upload tasks
- Potentially more error-prone due to increased complexity
Code Comparison
upload-artifact:
- uses: actions/upload-artifact@v3
with:
name: my-artifact
path: path/to/artifact/
github-script:
- uses: actions/github-script@v6
with:
script: |
const fs = require('fs');
const artifactContent = fs.readFileSync('path/to/artifact', 'utf8');
await github.rest.actions.uploadArtifact({
owner: context.repo.owner,
repo: context.repo.repo,
name: 'my-artifact',
data: artifactContent
});
The upload-artifact action is simpler and more straightforward for basic artifact uploading, while github-script offers greater flexibility but requires more setup and JavaScript knowledge. Choose based on your specific needs and team expertise.
Convert
designs to code with AI
Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.
Try Visual CopilotREADME
@actions/upload-artifact
[!WARNING] actions/upload-artifact@v3 is scheduled for deprecation on November 30, 2024. Learn more. Similarly, v1/v2 are scheduled for deprecation on June 30, 2024. Please update your workflow to use v4 of the artifact actions. This deprecation will not impact any existing versions of GitHub Enterprise Server being used by customers.
Upload Actions Artifacts from your Workflow Runs. Internally powered by @actions/artifact package.
See also download-artifact.
@actions/upload-artifact- v4 - What's new
- Usage
- Examples
- Upload an Individual File
- Upload an Entire Directory
- Upload using a Wildcard Pattern
- Upload using Multiple Paths and Exclusions
- Altering compressions level (speed v. size)
- Customization if no files are found
- (Not) Uploading to the same artifact
- Environment Variables and Tilde Expansion
- Retention Period
- Using Outputs
- Overwriting an Artifact
- Limitations
- Where does the upload go?
v4 - What's new
[!IMPORTANT] upload-artifact@v4+ is not currently supported on GitHub Enterprise Server (GHES) yet. If you are on GHES, you must use v3.
The release of upload-artifact@v4 and download-artifact@v4 are major changes to the backend architecture of Artifacts. They have numerous performance and behavioral improvements.
For more information, see the @actions/artifact documentation.
There is also a new sub-action, actions/upload-artifact/merge. For more info, check out that action's README.
Improvements
- Uploads are significantly faster, upwards of 90% improvement in worst case scenarios.
- Once uploaded, an Artifact ID is returned and Artifacts are immediately available in the UI and REST API. Previously, you would have to wait for the run to be completed before an ID was available or any APIs could be utilized.
- The contents of an Artifact are uploaded together into an immutable archive. They cannot be altered by subsequent jobs unless the Artifacts are deleted and recreated (where they will have a new ID). Both of these factors help reduce the possibility of accidentally corrupting Artifact files.
- The compression level of an Artifact can be manually tweaked for speed or size reduction.
Breaking Changes
-
On self hosted runners, additional firewall rules may be required.
-
Uploading to the same named Artifact multiple times.
Due to how Artifacts are created in this new version, it is no longer possible to upload to the same named Artifact multiple times. You must either split the uploads into multiple Artifacts with different names, or only upload once. Otherwise you will encounter an error.
-
Limit of Artifacts for an individual job. Each job in a workflow run now has a limit of 500 artifacts.
-
With
v4.4and later, hidden files are excluded by default.
For assistance with breaking changes, see MIGRATION.md.
Note
Thank you for your interest in this GitHub repo, however, right now we are not taking contributions.
We continue to focus our resources on strategic areas that help our customers be successful while making developers' lives easier. While GitHub Actions remains a key part of this vision, we are allocating resources towards other areas of Actions and are not taking contributions to this repository at this time. The GitHub public roadmap is the best place to follow along for any updates on features weâre working on and what stage theyâre in.
We are taking the following steps to better direct requests related to GitHub Actions, including:
-
We will be directing questions and support requests to our Community Discussions area
-
High Priority bugs can be reported through Community Discussions or you can report these to our support team https://support.github.com/contact/bug-report.
-
Security Issues should be handled as per our security.md.
We will still provide security updates for this project and fix major breaking changes during this time.
You are welcome to still raise bugs in this repo.
Usage
Inputs
- uses: actions/upload-artifact@v4
with:
# Name of the artifact to upload.
# Optional. Default is 'artifact'
name:
# A file, directory or wildcard pattern that describes what to upload
# Required.
path:
# The desired behavior if no files are found using the provided path.
# Available Options:
# warn: Output a warning but do not fail the action
# error: Fail the action with an error message
# ignore: Do not output any warnings or errors, the action does not fail
# Optional. Default is 'warn'
if-no-files-found:
# Duration after which artifact will expire in days. 0 means using default retention.
# Minimum 1 day.
# Maximum 90 days unless changed from the repository settings page.
# Optional. Defaults to repository settings.
retention-days:
# The level of compression for Zlib to be applied to the artifact archive.
# The value can range from 0 to 9.
# For large files that are not easily compressed, a value of 0 is recommended for significantly faster uploads.
# Optional. Default is '6'
compression-level:
# If true, an artifact with a matching name will be deleted before a new one is uploaded.
# If false, the action will fail if an artifact for the given name already exists.
# Does not fail if the artifact does not exist.
# Optional. Default is 'false'
overwrite:
# Whether to include hidden files in the provided path in the artifact
# The file contents of any hidden files in the path should be validated before
# enabled this to avoid uploading sensitive information.
# Optional. Default is 'false'
include-hidden-files:
Outputs
| Name | Description | Example |
|---|---|---|
artifact-id | GitHub ID of an Artifact, can be used by the REST API | 1234 |
artifact-url | URL to download an Artifact. Can be used in many scenarios such as linking to artifacts in issues or pull requests. Users must be logged-in in order for this URL to work. This URL is valid as long as the artifact has not expired or the artifact, run or repository have not been deleted | https://github.com/example-org/example-repo/actions/runs/1/artifacts/1234 |
artifact-digest | SHA-256 digest of an Artifact | 0fde654d4c6e659b45783a725dc92f1bfb0baa6c2de64b34e814dc206ff4aaaf |
Examples
Upload an Individual File
steps:
- run: mkdir -p path/to/artifact
- run: echo hello > path/to/artifact/world.txt
- uses: actions/upload-artifact@v4
with:
name: my-artifact
path: path/to/artifact/world.txt
Upload an Entire Directory
- uses: actions/upload-artifact@v4
with:
name: my-artifact
path: path/to/artifact/ # or path/to/artifact
Upload using a Wildcard Pattern
- uses: actions/upload-artifact@v4
with:
name: my-artifact
path: path/**/[abc]rtifac?/*
Upload using Multiple Paths and Exclusions
- uses: actions/upload-artifact@v4
with:
name: my-artifact
path: |
path/output/bin/
path/output/test-results
!path/**/*.tmp
For supported wildcards along with behavior and documentation, see @actions/glob which is used internally to search for files.
If a wildcard pattern is used, the path hierarchy will be preserved after the first wildcard pattern:
path/to/*/directory/foo?.txt =>
â path/to/some/directory/foo1.txt
â path/to/some/directory/foo2.txt
â path/to/other/directory/foo1.txt
would be flattened and uploaded as =>
â some/directory/foo1.txt
â some/directory/foo2.txt
â other/directory/foo1.txt
If multiple paths are provided as input, the least common ancestor of all the search paths will be used as the root directory of the artifact. Exclude paths do not affect the directory structure.
Relative and absolute file paths are both allowed. Relative paths are rooted against the current working directory. Paths that begin with a wildcard character should be quoted to avoid being interpreted as YAML aliases.
Altering compressions level (speed v. size)
If you are uploading large or easily compressable data to your artifact, you may benefit from tweaking the compression level. By default, the compression level is 6, the same as GNU Gzip.
The value can range from 0 to 9:
- 0: No compression
- 1: Best speed
- 6: Default compression (same as GNU Gzip)
- 9: Best compression
Higher levels will result in better compression, but will take longer to complete.
For large files that are not easily compressed, a value of 0 is recommended for significantly faster uploads.
For instance, if you are uploading random binary data, you can save a lot of time by opting out of compression completely, since it won't benefit:
- name: Make a 1GB random binary file
run: |
dd if=/dev/urandom of=my-1gb-file bs=1M count=1000
- uses: actions/upload-artifact@v4
with:
name: my-artifact
path: my-1gb-file
compression-level: 0 # no compression
But, if you are uploading data that is easily compressed (like plaintext, code, etc) you can save space and cost by having a higher compression level. But this will be heavier on the CPU therefore slower to upload:
- name: Make a file with a lot of repeated text
run: |
for i in {1..100000}; do echo -n 'foobar' >> foobar.txt; done
- uses: actions/upload-artifact@v4
with:
name: my-artifact
path: foobar.txt
compression-level: 9 # maximum compression
Customization if no files are found
If a path (or paths), result in no files being found for the artifact, the action will succeed but print out a warning. In certain scenarios it may be desirable to fail the action or suppress the warning. The if-no-files-found option allows you to customize the behavior of the action if no files are found:
- uses: actions/upload-artifact@v4
with:
name: my-artifact
path: path/to/artifact/
if-no-files-found: error # 'warn' or 'ignore' are also available, defaults to `warn`
(Not) Uploading to the same artifact
Unlike earlier versions of upload-artifact, uploading to the same artifact via multiple jobs is not supported with v4.
- run: echo hi > world.txt
- uses: actions/upload-artifact@v4
with:
# implicitly named as 'artifact'
path: world.txt
- run: echo howdy > extra-file.txt
- uses: actions/upload-artifact@v4
with:
# also implicitly named as 'artifact', will fail here!
path: extra-file.txt
Artifact names must be unique since each created artifact is idempotent so multiple jobs cannot modify the same artifact.
In matrix scenarios, be careful to not accidentally upload to the same artifact, or else you will encounter conflict errors. It would be best to name the artifact with a prefix or suffix from the matrix:
jobs:
upload:
name: Generate Build Artifacts
strategy:
matrix:
os: [ubuntu-latest, windows-latest]
version: [a, b, c]
runs-on: ${{ matrix.os }}
steps:
- name: Build
run: ./some-script --version=${{ matrix.version }} > my-binary
- name: Upload
uses: actions/upload-artifact@v4
with:
name: binary-${{ matrix.os }}-${{ matrix.version }}
path: my-binary
This will result in artifacts like: binary-ubuntu-latest-a, binary-windows-latest-b, and so on.
Previously the behavior allowed for the artifact names to be the same which resulted in unexpected mutations and accidental corruption. Artifacts created by upload-artifact@v4 are immutable.
Environment Variables and Tilde Expansion
You can use ~ in the path input as a substitute for $HOME. Basic tilde expansion is supported:
- run: |
mkdir -p ~/new/artifact
echo hello > ~/new/artifact/world.txt
- uses: actions/upload-artifact@v4
with:
name: my-artifacts
path: ~/new/**/*
Environment variables along with context expressions can also be used for input. For documentation see context and expression syntax:
env:
name: my-artifact
steps:
- run: |
mkdir -p ${{ github.workspace }}/artifact
echo hello > ${{ github.workspace }}/artifact/world.txt
- uses: actions/upload-artifact@v4
with:
name: ${{ env.name }}-name
path: ${{ github.workspace }}/artifact/**/*
For environment variables created in other steps, make sure to use the env expression syntax
steps:
- run: |
mkdir testing
echo "This is a file to upload" > testing/file.txt
echo "artifactPath=testing/file.txt" >> $GITHUB_ENV
- uses: actions/upload-artifact@v4
with:
name: artifact
path: ${{ env.artifactPath }} # this will resolve to testing/file.txt at runtime
Retention Period
Artifacts are retained for 90 days by default. You can specify a shorter retention period using the retention-days input:
- name: Create a file
run: echo "I won't live long" > my_file.txt
- name: Upload Artifact
uses: actions/upload-artifact@v4
with:
name: my-artifact
path: my_file.txt
retention-days: 5
The retention period must be between 1 and 90 inclusive. For more information see artifact and log retention policies.
Using Outputs
If an artifact upload is successful then an artifact-id output is available. This ID is a unique identifier that can be used with Artifact REST APIs.
Example output between steps
- uses: actions/upload-artifact@v4
id: artifact-upload-step
with:
name: my-artifact
path: path/to/artifact/content/
- name: Output artifact ID
run: echo 'Artifact ID is ${{ steps.artifact-upload-step.outputs.artifact-id }}'
Example output between jobs
jobs:
job1:
runs-on: ubuntu-latest
outputs:
output1: ${{ steps.artifact-upload-step.outputs.artifact-id }}
steps:
- uses: actions/upload-artifact@v4
id: artifact-upload-step
with:
name: my-artifact
path: path/to/artifact/content/
job2:
runs-on: ubuntu-latest
needs: job1
steps:
- env:
OUTPUT1: ${{needs.job1.outputs.output1}}
run: echo "Artifact ID from previous job is $OUTPUT1"
Overwriting an Artifact
Although it's not possible to mutate an Artifact, can completely overwrite one. But do note that this will give the Artifact a new ID, the previous one will no longer exist:
jobs:
upload:
runs-on: ubuntu-latest
steps:
- name: Create a file
run: echo "hello world" > my-file.txt
- name: Upload Artifact
uses: actions/upload-artifact@v4
with:
name: my-artifact # NOTE: same artifact name
path: my-file.txt
upload-again:
needs: upload
runs-on: ubuntu-latest
steps:
- name: Create a different file
run: echo "goodbye world" > my-file.txt
- name: Upload Artifact
uses: actions/upload-artifact@v4
with:
name: my-artifact # NOTE: same artifact name
path: my-file.txt
overwrite: true
Uploading Hidden Files
By default, hidden files are ignored by this action to avoid unintentionally uploading sensitive information.
If you need to upload hidden files, you can use the include-hidden-files input.
Any files that contain sensitive information that should not be in the uploaded artifact can be excluded
using the path:
- uses: actions/upload-artifact@v4
with:
name: my-artifact
include-hidden-files: true
path: |
path/output/
!path/output/.production.env
Hidden files are defined as any file beginning with . or files within folders beginning with ..
On Windows, files and directories with the hidden attribute are not considered hidden files unless
they have the . prefix.
Limitations
Number of Artifacts
Within an individual job, there is a limit of 500 artifacts that can be created for that job.
You may also be limited by Artifacts if you have exceeded your shared storage quota. Storage is calculated every 6-12 hours. See the documentation for more info.
Zip archives
When an Artifact is uploaded, all the files are assembled into an immutable Zip archive. There is currently no way to download artifacts in a format other than a Zip or to download individual artifact contents.
Permission Loss
File permissions are not maintained during artifact upload. All directories will have 755 and all files will have 644. For example, if you make a file executable using chmod and then upload that file, post-download the file is no longer guaranteed to be set as an executable.
If you must preserve permissions, you can tar all of your files together before artifact upload. Post download, the tar file will maintain file permissions and case sensitivity.
- name: 'Tar files'
run: tar -cvf my_files.tar /path/to/my/directory
- name: 'Upload Artifact'
uses: actions/upload-artifact@v4
with:
name: my-artifact
path: my_files.tar
Where does the upload go?
At the bottom of the workflow summary page, there is a dedicated section for artifacts. Here's a screenshot of something you might see:
There is a trashcan icon that can be used to delete the artifact. This icon will only appear for users who have write permissions to the repository.
The size of the artifact is denoted in bytes. The displayed artifact size denotes the size of the zip that upload-artifact creates during upload. The Digest column will display the SHA256 digest of the artifact being uploaded.
Top Related Projects
Cache dependencies and build outputs in GitHub Actions
Action for checking out a repo
Set up your GitHub Actions workflow with a specific version of node.js
Write workflows scripting the GitHub API in JavaScript
Convert
designs to code with AI
Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.
Try Visual Copilot