Nota:
Actualmente los ejecutores hospedados por GitHub no se admiten en GitHub Enterprise Server. Puede ver más información sobre la compatibilidad futura planeada en GitHub public roadmap.
Initial troubleshooting suggestions
There are several ways you can troubleshoot failed workflow runs.
Using workflow run logs
Each workflow run generates activity logs that you can view, search, and download. For more information, see Uso de registros de ejecución de flujo de trabajo.
Enabling debug logging
If the workflow logs do not provide enough detail to diagnose why a workflow, job, or step is not working as expected, you can enable additional debug logging. For more information, see Habilitación del registro de depuración.
If your workflow uses specific tools or actions, enabling their debug or verbose logging options can help generate more detailed output for troubleshooting.
For example, you can use npm install --verbose
for npm or GIT_TRACE=1 GIT_CURL_VERBOSE=1 git ...
for git.
Troubleshooting workflow triggers
You can review your workflow’s on:
field to understand what is expected to trigger the workflow. For more information, see Activar un flujo de trabajo.
For a full list of available events, see Events that trigger workflows.
Triggering event conditions
Some triggering events only run from the default branch (i.e. issues
, schedule
). Workflow file versions that exist outside of the default branch will not trigger on these events.
Workflows will not run on pull_request
activity if the pull request has a merge conflict.
Workflows that would otherwise be triggered on push
or pull_request
activity will be skipped if the commit message contains a skip annotation. For more information, see Saltarse las ejecuciones de código.
Scheduled workflows running at unexpected times
Scheduled events can be delayed during periods of high loads of GitHub Actions workflow runs.
High load times include the start of every hour. If the load is sufficiently high enough, some queued jobs may be dropped. To decrease the chance of delay, schedule your workflow to run at a different time of the hour. For more information, see Events that trigger workflows.
Filtering and diff limits
Specific events allow for filtering by branch, tag, and/or paths you can customize. Workflow run creation will be skipped if the filter conditions apply to filter out the workflow.
You can use special characters with filters. For more information, see Sintaxis del flujo de trabajo para GitHub Actions.
For path filtering, evaluating diffs is limited to the first 300 files. If there are files changed that are not matched in the first 300 files returned by the filter, the workflow will not be run. For more information, see Sintaxis del flujo de trabajo para GitHub Actions.
Troubleshoot workflow execution
Workflow execution involves any issues seen after the workflow was triggered and a workflow run has been created.
Canceling Workflows
If standard cancellation through the UI or API does not process as expected, there may be a conditional statement configured for your running workflow job(s) that causes it to not cancel.
In these cases, you can leverage the API to force cancel the run. For more information, see Puntos de conexión de API de REST para ejecuciones de flujo de trabajo.
A common cause can be using the always()
status check function which returns true
, even on cancellation. An alternative is to use the inverse of the cancelled()
function, ${{ !cancelled() }}
.
For more information, see Utilizar condiciones para controlar la ejecución de jobs and Cancelar un flujo de trabajo.
Troubleshooting runners
Defining runner labels
GitHub-hosted runners leverage preset labels maintained through the actions/runner-images
repository.
We recommend using unique label names for larger and self-hosted runners. If a label matches to any of the existing preset labels, there can be runner assignment issues where there is no guarantee on which matching runner option the job will run on.
Self-hosted runners
If you use self-hosted runners, you can view their activity and diagnose common issues.
For more information, see Supervisión y solución de problemas de ejecutores autohospedados.