GitLab CI/CD is a powerful tool integrated into GitLab that automates the software development process. It allows developers to build, test, and deploy their code efficiently. By defining a .gitlab-ci.yml file in the repository, developers can specify the stages, jobs, and scripts to be executed in the CI/CD pipeline.
One common issue encountered in GitLab CI is the error message indicating that a job exceeds the artifact size limit. This error typically appears in the job logs and can halt the pipeline execution, preventing further stages from running.
The error message usually looks like this:
ERROR: Job failed: artifact size limit exceeded
This message indicates that the total size of the artifacts generated by the job surpasses the maximum allowed size configured in GitLab.
The artifact size limit is a constraint set in GitLab to prevent excessive storage usage. Artifacts are files generated by jobs, such as build outputs or test results, that are stored and can be downloaded later. When the total size of these artifacts exceeds the configured limit, GitLab will not store them, resulting in the error.
By default, GitLab sets a limit on the artifact size to ensure optimal performance and resource management. This limit can vary depending on the GitLab instance configuration and the plan you are on. You can find more details about GitLab's artifact limits in the official documentation.
To resolve the "Job Exceeds Artifact Size Limit" error, you can either reduce the size of the artifacts or increase the artifact size limit. Here are the steps for both approaches:
.gitlab-ci.yml file to exclude these files using the artifacts:paths directive. For example:artifacts:
paths:
- build/
- reports/
exclude:
- build/temp/
This configuration will exclude the build/temp/ directory from the artifacts.
For more detailed instructions, refer to the GitLab Administration Guide.
By understanding and addressing the "Job Exceeds Artifact Size Limit" error, you can ensure that your GitLab CI/CD pipelines run smoothly without interruptions. Whether by optimizing artifact size or adjusting configuration settings, these steps will help you maintain efficient and effective CI/CD processes.
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