345 lines
17 KiB
Markdown
345 lines
17 KiB
Markdown
---
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stage: Verify
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group: Pipeline Execution
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info: To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/engineering/ux/technical-writing/#assignments
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type: reference
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---
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# Troubleshooting CI/CD **(FREE)**
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GitLab provides several tools to help make troubleshooting your pipelines easier.
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This guide also lists common issues and possible solutions.
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## Verify syntax
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An early source of problems can be incorrect syntax. The pipeline shows a `yaml invalid`
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badge and does not start running if any syntax or formatting problems are found.
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### Edit `.gitlab-ci.yml` with the pipeline editor
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The [pipeline editor](pipeline_editor/index.md) is the recommended editing
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experience (rather than the single file editor or the Web IDE). It includes:
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- Code completion suggestions that ensure you are only using accepted keywords.
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- Automatic syntax highlighting and validation.
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- The [CI/CD configuration visualization](pipeline_editor/index.md#visualize-ci-configuration),
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a graphical representation of your `.gitlab-ci.yml` file.
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If you prefer to use another editor, you can use a schema like [the Schemastore `gitlab-ci` schema](https://json.schemastore.org/gitlab-ci)
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with your editor of choice.
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### Verify syntax with CI Lint tool
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The [CI Lint tool](lint.md) is a simple way to ensure the syntax of a CI/CD configuration
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file is correct. Paste in full `.gitlab-ci.yml` files or individual jobs configuration,
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to verify the basic syntax.
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When a `.gitlab-ci.yml` file is present in a project, you can also use the CI Lint
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tool to [simulate the creation of a full pipeline](lint.md#simulate-a-pipeline).
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It does deeper verification of the configuration syntax.
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## Verify variables
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A key part of troubleshooting CI/CD is to verify which variables are present in a
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pipeline, and what their values are. A lot of pipeline configuration is dependent
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on variables, and verifying them is one of the fastest ways to find the source of
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a problem.
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[Export the full list of variables](variables/index.md#list-all-environment-variables)
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available in each problematic job. Check if the variables you expect are present,
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and check if their values are what you expect.
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## GitLab CI/CD documentation
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The [complete `.gitlab-ci.yml` reference](yaml/index.md) contains a full list of
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every keyword you can use to configure your pipelines.
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You can also look at a large number of pipeline configuration [examples](examples/index.md)
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and [templates](examples/index.md#cicd-templates).
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### Documentation for pipeline types
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Some pipeline types have their own detailed usage guides that you should read
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if you are using that type:
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- [Multi-project pipelines](pipelines/multi_project_pipelines.md): Have your pipeline trigger
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a pipeline in a different project.
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- [Parent/child pipelines](pipelines/parent_child_pipelines.md): Have your main pipeline trigger
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and run separate pipelines in the same project. You can also
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[dynamically generate the child pipeline's configuration](pipelines/parent_child_pipelines.md#dynamic-child-pipelines)
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at runtime.
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- [Merge request pipelines](pipelines/merge_request_pipelines.md): Run a pipeline
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in the context of a merge request.
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- [Merged results pipelines](pipelines/merged_results_pipelines.md):
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Merge request pipelines that run on the combined source and target branch
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- [Merge trains](pipelines/merge_trains.md):
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Multiple merged results pipelines that queue and run automatically before
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changes are merged.
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### Troubleshooting Guides for CI/CD features
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Troubleshooting guides are available for some CI/CD features and related topics:
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- [Container Registry](../user/packages/container_registry/index.md#troubleshooting-the-gitlab-container-registry)
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- [GitLab Runner](https://docs.gitlab.com/runner/faq/)
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- [Merge Trains](pipelines/merge_trains.md#troubleshooting)
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- [Docker Build](docker/using_docker_build.md#troubleshooting)
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- [Environments](environments/deployment_safety.md#ensure-only-one-deployment-job-runs-at-a-time)
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## Common CI/CD issues
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A lot of common pipeline issues can be fixed by analyzing the behavior of the `rules`
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or `only/except` configuration. You shouldn't use these two configurations in the same
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pipeline, as they behave differently. It's hard to predict how a pipeline runs with
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this mixed behavior.
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If your `rules` or `only/except` configuration makes use of [predefined variables](variables/predefined_variables.md)
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like `CI_PIPELINE_SOURCE`, `CI_MERGE_REQUEST_ID`, you should [verify them](#verify-variables)
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as the first troubleshooting step.
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### Jobs or pipelines don't run when expected
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The `rules` or `only/except` keywords are what determine whether or not a job is
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added to a pipeline. If a pipeline runs, but a job is not added to the pipeline,
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it's usually due to `rules` or `only/except` configuration issues.
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If a pipeline does not seem to run at all, with no error message, it may also be
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due to `rules` or `only/except` configuration, or the `workflow: rules` keyword.
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If you are converting from `only/except` to the `rules` keyword, you should check
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the [`rules` configuration details](yaml/index.md#rules) carefully. The behavior
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of `only/except` and `rules` is different and can cause unexpected behavior when migrating
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between the two.
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The [common `if` clauses for `rules`](jobs/job_control.md#common-if-clauses-for-rules)
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can be very helpful for examples of how to write rules that behave the way you expect.
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#### Two pipelines run at the same time
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Two pipelines can run when pushing a commit to a branch that has an open merge request
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associated with it. Usually one pipeline is a merge request pipeline, and the other
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is a branch pipeline.
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This situation is usually caused by the `rules` configuration, and there are several ways to
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[prevent duplicate pipelines](jobs/job_control.md#avoid-duplicate-pipelines).
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#### A job is not in the pipeline
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GitLab determines if a job is added to a pipeline based on the [`only/except`](yaml/index.md#only--except)
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or [`rules`](yaml/index.md#rules) defined for the job. If it didn't run, it's probably
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not evaluating as you expect.
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#### No pipeline or the wrong type of pipeline runs
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Before a pipeline can run, GitLab evaluates all the jobs in the configuration and tries
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to add them to all available pipeline types. A pipeline does not run if no jobs are added
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to it at the end of the evaluation.
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If a pipeline did not run, it's likely that all the jobs had `rules` or `only/except` that
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blocked them from being added to the pipeline.
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If the wrong pipeline type ran, then the `rules` or `only/except` configuration should
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be checked to make sure the jobs are added to the correct pipeline type. For
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example, if a merge request pipeline did not run, the jobs may have been added to
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a branch pipeline instead.
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It's also possible that your [`workflow: rules`](yaml/index.md#workflow) configuration
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blocked the pipeline, or allowed the wrong pipeline type.
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### A job runs unexpectedly
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A common reason a job is added to a pipeline unexpectedly is because the `changes`
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keyword always evaluates to true in certain cases. For example, `changes` is always
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true in certain pipeline types, including scheduled pipelines and pipelines for tags.
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The `changes` keyword is used in combination with [`only/except`](yaml/index.md#onlychanges--exceptchanges)
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or [`rules`](yaml/index.md#ruleschanges)). It's recommended to use `changes` with
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`rules` or `only/except` configuration that ensures the job is only added to branch
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pipelines or merge request pipelines.
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### "fatal: reference is not a tree" error
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> [Introduced](https://gitlab.com/gitlab-org/gitlab/-/merge_requests/17043) in GitLab 12.4.
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Previously, you'd have encountered unexpected pipeline failures when you force-pushed
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a branch to its remote repository. To illustrate the problem, suppose you've had the current workflow:
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1. A user creates a feature branch named `example` and pushes it to a remote repository.
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1. A new pipeline starts running on the `example` branch.
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1. A user rebases the `example` branch on the latest default branch and force-pushes it to its remote repository.
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1. A new pipeline starts running on the `example` branch again, however,
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the previous pipeline (2) fails because of `fatal: reference is not a tree:` error.
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This occurs because the previous pipeline cannot find a checkout-SHA (which is associated with the pipeline record)
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from the `example` branch that the commit history has already been overwritten by the force-push.
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Similarly, [Merged results pipelines](pipelines/merged_results_pipelines.md)
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might have failed intermittently due to [the same reason](pipelines/merged_results_pipelines.md#pipelines-fail-intermittently-with-a-fatal-reference-is-not-a-tree-error).
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As of GitLab 12.4, we've improved this behavior by persisting pipeline refs exclusively.
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To illustrate its life cycle:
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1. A pipeline is created on a feature branch named `example`.
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1. A persistent pipeline ref is created at `refs/pipelines/<pipeline-id>`,
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which retains the checkout-SHA of the associated pipeline record.
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This persistent ref stays intact during the pipeline execution,
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even if the commit history of the `example` branch has been overwritten by force-push.
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1. The runner fetches the persistent pipeline ref and gets source code from the checkout-SHA.
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1. When the pipeline finishes, its persistent ref is cleaned up in a background process.
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### Merge request pipeline messages
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The merge request pipeline widget shows information about the pipeline status in
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a merge request. It's displayed above the [ability to merge status widget](#merge-request-status-messages).
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#### "Checking ability to merge automatically" message
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There is a [known issue](https://gitlab.com/gitlab-org/gitlab/-/issues/229352)
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where a merge request can be stuck with the `Checking ability to merge automatically`
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message.
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If your merge request has this message and it does not disappear after a few minutes,
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you can try one of these workarounds:
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- Refresh the merge request page.
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- Close & Re-open the merge request.
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- Rebase the merge request with the `/rebase` [quick action](../user/project/quick_actions.md).
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- If you have already confirmed the merge request is ready to be merged, you can merge
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it with the `/merge` quick action.
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#### "Checking pipeline status" message
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This message is shown when the merge request has no pipeline associated with the
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latest commit yet. This might be because:
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- GitLab hasn't finished creating the pipeline yet.
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- You are using an external CI service and GitLab hasn't heard back from the service yet.
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- You are not using CI/CD pipelines in your project.
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- You are using CI/CD pipelines in your project, but your configuration prevented a pipeline from running on the source branch for your merge request.
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- The latest pipeline was deleted (this is a [known issue](https://gitlab.com/gitlab-org/gitlab/-/issues/214323)).
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- The source branch of the merge request is on a private fork.
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After the pipeline is created, the message updates with the pipeline status.
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### Merge request status messages
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The merge request status widget shows the **Merge** button and whether or not a merge
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request is ready to merge. If the merge request can't be merged, the reason for this
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is displayed.
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If the pipeline is still running, the **Merge** button is replaced with the
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**Merge when pipeline succeeds** button.
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If [**Merge Trains**](pipelines/merge_trains.md)
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are enabled, the button is either **Add to merge train** or **Add to merge train when pipeline succeeds**. **(PREMIUM)**
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#### "A CI/CD pipeline must run and be successful before merge" message
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This message is shown if the [Pipelines must succeed](../user/project/merge_requests/merge_when_pipeline_succeeds.md#only-allow-merge-requests-to-be-merged-if-the-pipeline-succeeds)
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setting is enabled in the project and a pipeline has not yet run successfully.
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This also applies if the pipeline has not been created yet, or if you are waiting
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for an external CI service. If you don't use pipelines for your project, then you
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should disable **Pipelines must succeed** so you can accept merge requests.
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#### "Merge blocked: pipeline must succeed. Push a new commit that fixes the failure" message
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This message is shown if the [merge request pipeline](pipelines/merge_request_pipelines.md),
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[merged results pipeline](pipelines/merged_results_pipelines.md),
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or [merge train pipeline](pipelines/merge_trains.md)
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has failed or been canceled.
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If a merge request pipeline or merged result pipeline was canceled or failed, you can:
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- Re-run the entire pipeline by clicking **Run pipeline** in the pipeline tab in the merge request.
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- [Retry only the jobs that failed](pipelines/index.md#view-pipelines). If you re-run the entire pipeline, this is not necessary.
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- Push a new commit to fix the failure.
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If the merge train pipeline has failed, you can:
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- Check the failure and determine if you can use the [`/merge` quick action](../user/project/quick_actions.md) to immediately add the merge request to the train again.
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- Re-run the entire pipeline by clicking **Run pipeline** in the pipeline tab in the merge request, then add the merge request to the train again.
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- Push a commit to fix the failure, then add the merge request to the train again.
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If the merge train pipeline was canceled before the merge request was merged, without a failure, you can:
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- Add it to the train again.
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### Project `group/project` not found or access denied
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This message is shown if configuration is added with [`include`](yaml/index.md#include) and one of the following:
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- The configuration refers to a project that can't be found.
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- The user that is running the pipeline is unable to access any included projects.
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To resolve this, check that:
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- The path of the project is in the format `my-group/my-project` and does not include
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any folders in the repository.
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- The user running the pipeline is a [member of the projects](../user/project/members/index.md#add-users-to-a-project)
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that contain the included files. Users must also have the [permission](../user/permissions.md#job-permissions)
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to run CI/CD jobs in the same projects.
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### "The parsed YAML is too big" message
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This message displays when the YAML configuration is too large or nested too deeply.
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YAML files with a large number of includes, and thousands of lines overall, are
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more likely to hit this memory limit. For example, a YAML file that is 200kb is
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likely to hit the default memory limit.
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To reduce the configuration size, you can:
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- Check the length of the expanded CI/CD configuration in the pipeline editor's
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[merged YAML](pipeline_editor/index.md#view-expanded-configuration) tab. Look for
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duplicated configuration that can be removed or simplified.
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- Move long or repeated `script` sections into standalone scripts in the project.
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- Use [parent and child pipelines](pipelines/parent_child_pipelines.md) to move some
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work to jobs in an independent child pipeline.
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On a self-managed instance, you can [increase the size limits](../administration/instance_limits.md#maximum-size-and-depth-of-cicd-configuration-yaml-files).
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## Pipeline warnings
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Pipeline configuration warnings are shown when you:
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- [Validate configuration with the CI Lint tool](yaml/index.md).
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- [Manually run a pipeline](pipelines/index.md#run-a-pipeline-manually).
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### "Job may allow multiple pipelines to run for a single action" warning
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When you use [`rules`](yaml/index.md#rules) with a `when` clause without an `if`
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clause, multiple pipelines may run. Usually this occurs when you push a commit to
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a branch that has an open merge request associated with it.
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To [prevent duplicate pipelines](jobs/job_control.md#avoid-duplicate-pipelines), use
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[`workflow: rules`](yaml/index.md#workflow) or rewrite your rules to control
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which pipelines can run.
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### Console workaround if job using resource_group gets stuck **(FREE SELF)**
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```ruby
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# find resource group by name
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resource_group = Project.find_by_full_path('...').resource_groups.find_by(key: 'the-group-name')
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busy_resources = resource_group.resources.where('build_id IS NOT NULL')
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# identify which builds are occupying the resource
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# (I think it should be 1 as of today)
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busy_resources.pluck(:build_id)
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# it's good to check why this build is holding the resource.
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# Is it stuck? Has it been forcefully dropped by the system?
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# free up busy resources
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busy_resources.update_all(build_id: nil)
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```
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### Job log slow to update
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When you visit the job log page for a running job, there could be a delay of up to
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60 seconds before the log updates. The default refresh time is 60 seconds, but after
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the log is viewed in the UI, the following log updates should occur every 3 seconds.
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## How to get help
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If you are unable to resolve pipeline issues, you can get help from:
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- The [GitLab community forum](https://forum.gitlab.com/)
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- GitLab [Support](https://about.gitlab.com/support/)
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