Logging in Workflows
Introduction
Logging is an essential aspect of monitoring and debugging workflows in GitHub Actions. It allows developers to capture important information about the execution of their workflows, making it easier to troubleshoot issues.
Logging Methods
1. Using `echo` for Basic Logging
In GitHub Actions, you can use the `echo` command to log messages directly to the console output. This is useful for debugging purposes.
steps:
- name: Log a message
run: echo "This is a log message!"
2. Using `set-output` to Log Variables
You can also log variable output from one step to be used in subsequent steps.
steps:
- name: Set output
id: my_step
run: echo "::set-output name=my_var::Hello World"
- name: Use output
run: echo "The variable is ${{ steps.my_step.outputs.my_var }}"
3. Using `run` Command with `set -x`
To log every command being executed in a script, use the `set -x` option.
steps:
- name: Run a script with verbose logging
run: |
set -x
echo "Running step..."
ls -l
Best Practices
Key Takeaways:
- Use meaningful log messages to understand workflow behavior.
- Log errors and important variable values during execution.
- Use conditional logging to avoid cluttering the output.
- Regularly review and refine logging strategies based on feedback.
FAQ
What is the maximum log output size in GitHub Actions?
The maximum log size for a single job run is 200 MB. If your logs exceed this limit, you may need to optimize your logging strategy.
Can I view logs from previous workflow runs?
Yes, you can view the logs from previous runs by navigating to the "Actions" tab in your GitHub repository and selecting the specific workflow run.
Flowchart for Logging Workflow
graph TD;
A[Start Workflow] --> B{Error Occurred?};
B -->|Yes| C[Log Error Message];
B -->|No| D[Log Success Message];
C --> E[End Workflow];
D --> E;