Jobs and Steps
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The document provides an overview of CircleCI jobs and steps.
A CircleCI job is a collection of steps. All of the steps in the job are executed in a single unit, either within a fresh container, or a virtual machine. Jobs are orchestrated using workflows.
The following diagram illustrates how data flows between jobs:
- Workspaces persist data between jobs in a single workflow.
- Caching persists data between the same job in different workflows runs.
- Artifacts persist data after a workflow has finished.
Note: The job names shown in this diagram are just examples, you can name your jobs whatever you want.
Jobs can be run in docker containers, using the Docker executor, or in virtual machines using the
machine executor, with linux, macOS or Windows images. Secondary containers or VMs can be configured to attach services, such as databases, to run alongside your jobs.
When using the Docker executor, images listed under the
docker key specify the containers you want to start for your job. Any public Docker images can be used with the Docker executor, but CircleCI provides convenience images for a variety of use-cases. Full lists of available convenience and VM images are available in the CircleCI Developer Hub.
See the Introduction to Execution Environments document for a comparison of the different executor types, and links to further information for each option.
Steps are collections of executable commands, which are run during a job. The
checkout: key is required under
steps to checkout your code and the
run: key enables addition of arbitrary, multi-line shell command scripting. In addition to the
run: key, keys for
add_ssh_keys are nested under Steps. For a full list of step options see the Configuration Reference Steps Key.
Passing parameters to jobs
Using parameters allows you to run a single job multiple times for different scenarios, such as different package versions or execution environments. An extension of this functionality is matrix jobs. Below is a basic example of passing a parameter to a job when it is run.
version: 2.1 jobs: print-a-message: docker: - image: cimg/base:2022.03 auth: username: mydockerhub-user password: $DOCKERHUB_PASSWORD # context / project UI env-var reference parameters: message: type: string steps: - run: echo << parameters.message >> workflows: my-workflow: jobs: - print-a-message: message: Hello!
Using a job from an orb
Orbs are packages or reusable configuration that you can use in your projects. Orbs usually contain commands that you can use in your jobs, and whole jobs that you can schedule in your workflows. Take the Slack orb as an example. This orb provides a job called
on-hold, which you can use in your workflows. This job pauses the workflow to require manual approval, and sends a slack notification. To use this job, just reference it in your workflow (see line 10):
version: 2.1 orbs: slack: email@example.com workflows: on-hold-example: jobs: - my_test_job - slack/on-hold: context: slack-secrets requires: - my_test_job - pause_workflow: requires: - my_test_job - slack/on-hold type: approval - my_deploy_job: requires: - pause_workflow
Using a command from an orb in a job
Using the Slack orb as an example again, this orb includes a command called
notify, which is used to notify a specified slack channel. You can reference this command in your job as follows (see line 16):
Note: This example also uses the node orb.
version: 2.1 orbs: node: 'circleci/node:4.1' slack: firstname.lastname@example.org jobs: deploy: executor: name: node/default steps: - checkout - node/install-packages - run: command: npm run deploy - slack/notify: channel: ABCXYZ event: fail template: basic_fail_1 workflows: deploy_and_notify: jobs: - deploy: context: slack-secrets
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