Note: GitHub-hosted runners are not currently supported on GitHub Enterprise Server. You can see more information about planned future support on the GitHub public roadmap.
About re-running workflows and jobs
Re-running a workflow or jobs in a workflow uses the same GITHUB_SHA
(commit SHA) and GITHUB_REF
(Git ref) of the original event that triggered the workflow run. You can re-run a workflow or jobs in a workflow for up to 30 days after the initial run. You cannot re-run jobs in a workflow once its logs have passed their retention limits. For more information, see "Usage limits, billing, and administration." When you re-run a workflow or jobs in a workflow, you can enable debug logging for the re-run. This will enable runner diagnostic logging and step debug logging for the re-run. For more information about debug logging, see "Enabling debug logging."
Re-running all the jobs in a workflow
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On your GitHub Enterprise Server instance, navigate to the main page of the repository.
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Under your repository name, click Actions.
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In the left sidebar, click the workflow you want to see.
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From the list of workflow runs, click the name of the run to see the workflow run summary.
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In the upper-right corner of the workflow, re-run jobs.
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If any jobs failed, select the Re-run jobs dropdown menu and click Re-run all jobs.
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If no jobs failed, click Re-run all jobs.
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Optionally, to enable runner diagnostic logging and step debug logging for the re-run, select Enable debug logging.
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Click Re-run jobs.
To learn more about GitHub CLI, see "About GitHub CLI."
To re-run a failed workflow run, use the run rerun
subcommand. Replace run-id
with the ID of the failed run that you want to re-run. If you don't specify a run-id
, GitHub CLI returns an interactive menu for you to choose a recent failed run.
gh run rerun RUN_ID
To enable enable runner diagnostic logging and step debug logging for the re-run, use the --debug
flag.
gh run rerun RUN_ID --debug
To view the progress of the workflow run, use the run watch
subcommand and select the run from the interactive list.
gh run watch
Re-running failed jobs in a workflow
If any jobs in a workflow run failed, you can re-run just the jobs that failed. When you re-run failed jobs in a workflow, a new workflow run will start for all failed jobs and their dependents. Any outputs for any successful jobs in the previous workflow run will be used for the re-run. Any artifacts that were created in the initial run will be available in the re-run. Any deployment protection rules that passed in the previous run will automatically pass in the re-run.
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On your GitHub Enterprise Server instance, navigate to the main page of the repository.
-
Under your repository name, click Actions.
-
In the left sidebar, click the workflow you want to see.
-
From the list of workflow runs, click the name of the run to see the workflow run summary.
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In the upper-right corner of the workflow, select the Re-run jobs dropdown menu, and click Re-run failed jobs.
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Optionally, to enable runner diagnostic logging and step debug logging for the re-run, select Enable debug logging.
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Click Re-run jobs.
To re-run failed jobs in a workflow run, use the run rerun
subcommand with the --failed
flag. Replace run-id
with the ID of the run for which you want to re-run failed jobs. If you don't specify a run-id
, GitHub CLI returns an interactive menu for you to choose a recent failed run.
gh run rerun RUN_ID --failed
To enable enable runner diagnostic logging and step debug logging for the re-run, use the --debug
flag.
gh run rerun RUN_ID --failed --debug
Re-running a specific job in a workflow
When you re-run a specific job in a workflow, a new workflow run will start for the job and any dependents. Any outputs for any other jobs in the previous workflow run will be used for the re-run. Any artifacts that were created in the initial run will be available in the re-run. Any deployment protection rules that passed in the previous run will automatically pass in the re-run.
-
On your GitHub Enterprise Server instance, navigate to the main page of the repository.
-
Under your repository name, click Actions.
-
In the left sidebar, click the workflow you want to see.
-
From the list of workflow runs, click the name of the run to see the workflow run summary.
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Next to the job that you want to re-run, click .
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Optionally, to enable runner diagnostic logging and step debug logging for the re-run, select Enable debug logging.
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Click Re-run jobs.
To re-run a specific job in a workflow run, use the run rerun
subcommand with the --job
flag. Replace job-id
with the ID of the job that you want to re-run.
gh run rerun --job JOB_ID
To enable enable runner diagnostic logging and step debug logging for the re-run, use the --debug
flag.
gh run rerun --job JOB_ID --debug
Re-running workflows and jobs with reusable workflows
Reusable workflows from public repositories can be referenced using a SHA, a release tag, or a branch name. For more information, see "Reusing workflows."
When you re-run a workflow that uses a reusable workflow and the reference is not a SHA, there are some behaviors to be aware of:
- Re-running all jobs in a workflow will use the reusable workflow from the specified reference. For more information about re-running all jobs in a workflow, see "Re-running workflows and jobs."
- Re-running failed jobs or a specific job in a workflow will use the reusable workflow from the same commit SHA of the first attempt. For more information about re-running failed jobs in a workflow, see "Re-running workflows and jobs." For more information about re-running a specific job in a workflow, see "Re-running workflows and jobs."
Reviewing previous workflow runs
You can view the results from your previous attempts at running a workflow. You can also view previous workflow runs using the API. For more information, see "Actions."
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On your GitHub Enterprise Server instance, navigate to the main page of the repository.
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Under your repository name, click Actions.
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In the left sidebar, click the workflow you want to see.
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From the list of workflow runs, click the name of the run to see the workflow run summary.
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To the right of the run name, select the Latest dropdown menu and click a previous run attempt.