Select the continuous integration system you're using from the options above
Yarn is preinstalled on AppVeyor, so you don’t need to do anything extra in order to use it as part of your build.
To speed up your builds, you can cache Yarn’s cache folder by adding this to
cache: - "%LOCALAPPDATA%\\Yarn"
Yarn is pre-installed Codeship Basic.
Travis CI detects the use of Yarn by the presence of
yarn.lock in the repository root.
If it is available, Travis CI will install
yarn if necessary, and execute
yarn as the default install command.
If your install phase requires more, it is necessary to install Yarn yourself until it is pre-installed on build images.
before_install: # if "install" is overridden # Repo for Yarn - sudo apt-key adv --fetch-keys http://dl.yarnpkg.com/debian/pubkey.gpg - echo "deb http://dl.yarnpkg.com/debian/ stable main" | sudo tee /etc/apt/sources.list.d/yarn.list - sudo apt-get update -qq - sudo apt-get install -y -qq yarn cache: yarn: true
It is recommended that you lock in a specific version of Yarn, so that all your builds use the same version of Yarn, and you can test new Yarn releases before switching over. You can do this by adding the version number to the
apt-get install call:
sudo apt-get install -y -qq yarn=1.22.15-1
Semaphore has Yarn pre-installed for all supported Node.js versions, and no user interaction is required for the Yarn cache to work.
To assure that your local Yarn version matches the one on Semaphore, add the lines below to your setup commands, in Project Settings.
curl -sS https://dl.yarnpkg.com/debian/pubkey.gpg | sudo apt-key add - echo "deb http://dl.yarnpkg.com/debian/ stable main" | sudo tee /etc/apt/sources.list.d/yarn.list # install-package is a tool for caching APT installations in Semaphore # defining a package version is optional install-package --update-new yarn=<version>
Because GitLab CI uses docker in the background, you can specify an image with yarn pre-installed.
# .gitlab-ci.yml image: node:9.4.0
If you’re using a docker image that doesn’t come with yarn pre-installed you can still install it after the container has loaded.
# .gitlab-ci.yml image: does-not-have-yarn before_script: # Install yarn as outlined in (https://yarnpkg.com/lang/en/docs/install/#alternatives-stable) - curl -o- -L https://yarnpkg.com/install.sh | bash # Make available in the current terminal - export PATH="$HOME/.yarn/bin:$HOME/.config/yarn/global/node_modules/.bin:$PATH"
In either case, it’s good practice to cache your
.yarn folder as well to speed up your builds.
# .gitlab-ci.yml cache: paths: - .yarn
Here’s an example
.gitlab-ci.yml file using yarn to run a testing suite.
Just save this file to the root of your project and GitLab’s CI will pick up the jobs.
# .gitlab-ci.yml image: node:9.11.1 before_script: - yarn install --cache-folder .yarn test: stage: test cache: paths: - node_modules/ - .yarn
version: '1.0' stages: - prepare - test - build steps: main_clone: title: Cloning main repository... stage: prepare type: git-clone repo: 'codefresh-contrib/react-sample-app' revision: master git: github MyUnitTests: title: Unit test stage: test image: node:11.0 commands: - yarn install - yarn test environment: - CI=true MyReactBuild: title: Packaging application stage: build image: node:8.16 commands: - yarn build
Notice that it is possible to use any version of node/yarn that exists in Dockerhub. In this case we use version 11 for running tests and version 8.6 for packaging the application. You can also use any private docker image that includes
yarn and any other tools you need in your pipeline.
There is no need for any special caching directives as Codefresh automatically caches the current workdir with all its folders (such as
For more details see a complete pipeline with Yarn.