Use Case Explanation:
Imagine you have a workflow that includes multiple tasks such as linting, testing, building, and deploying your code. Some tasks can run simultaneously (in parallel) without depending on each other, while others need to execute in a specific order (sequentially).
Running Actions in Parallel:
- Parallel Execution Example:
name: Parallel Actions
on:
push:
branches: [main]
jobs:
lint:
runs-on: ubuntu-latest
steps:
- name: Lint Code
run: npm run lint
test:
runs-on: ubuntu-latest
steps:
- name: Test Code
run: npm test
In this example, lint
and test
jobs can execute simultaneously as they don't depend on each other.
Breaking it down:
name: Parallel Actions
sets the name for this workflow.on
specifies that this workflow will trigger on push events to the main branch.jobs
define separate tasks that can run concurrently.lint
defines a job to run onubuntu-latest
and contains a single step to execute linting using the commandnpm run lint
.test
defines another job also running onubuntu-latest
with a single step to execute tests using the commandnpm test
.
Running Actions Sequentially:
- Sequential Execution Example:
name: Sequential Actions
on:
push:
branches: [main]
jobs:
build:
runs-on: ubuntu-latest
steps:
- name: Build Application
run: npm run build
deploy:
needs: build
runs-on: ubuntu-latest
steps:
- name: Deploy to Production
run: |
echo "Deploying to production..."
Here, the deploy
job depends on the completion of the build
job, ensuring the deployment only occurs after the successful build.
Breaking it down:
name: Sequential Actions
sets the name for this workflow.on
specifies that this workflow will trigger on push events to the main branch.jobs
define separate tasks where one job depends on the completion of another.build
defines a job to run onubuntu-latest
and contains a single step to execute the build process usingnpm run build
.deploy
defines another job running onubuntu-latest
that has a dependency (needs: build
) on the completion of thebuild
job. This job is responsible for deployment, and it executes only after thebuild
job has successfully completed.
Use Cases:
- Parallel Execution:
- When tasks don’t rely on each other and can execute concurrently, like linting, testing, or running independent checks.
- Speeding up workflows by reducing the overall execution time when tasks can run simultaneously.
- Sequential Execution:
- Ensuring a specific order of execution, such as building before deploying, to maintain the workflow’s integrity.
- Preventing issues caused by dependencies between tasks.
Benefits of Knowing Both:
- Performance Optimization: Understanding when to run tasks in parallel can significantly reduce the total workflow execution time.
- Workflow Integrity: Knowing how to run tasks sequentially ensures critical steps are completed in the required order without dependencies causing issues.
- Resource Utilization: Parallel execution optimizes resource usage by leveraging available resources effectively.
Conclusion:
Understanding how to run GitHub Actions in parallel and sequentially allows you to optimize your workflows, streamline processes, and ensure tasks are executed efficiently without unnecessary delays or dependencies affecting the workflow’s integrity. It helps in maximizing the benefits of automation and continuous integration/deployment in software development pipelines.