Job logs

Tier: Free, Premium, Ultimate Offering: Self-managed

Job logs are sent by a runner while it’s processing a job. You can see logs in job pages, pipelines, email notifications, and so on.

Data flow

In general, there are two states for job logs: log and archived log. In the following table you can see the phases a log goes through:

Phase State Condition Data flow Stored path
1: patching log When a job is running Runner => Puma => file storage #{ROOT_PATH}/gitlab-ci/builds/#{YYYY_mm}/#{project_id}/#{job_id}.log
2: archiving archived log After a job is finished Sidekiq moves log to artifacts folder #{ROOT_PATH}/gitlab-rails/shared/artifacts/#{disk_hash}/#{YYYY_mm_dd}/#{job_id}/#{job_artifact_id}/job.log
3: uploading archived log After a log is archived Sidekiq moves archived log to object storage (if configured) #{bucket_name}/#{disk_hash}/#{YYYY_mm_dd}/#{job_id}/#{job_artifact_id}/job.log

The ROOT_PATH varies per environment:

  • For the Linux package it’s /var/opt/gitlab.
  • For self-compiled installations it’s /home/git/gitlab.

Changing the job logs local location

note
For Docker installations, you can change the path where your data is mounted. For the Helm chart, use object storage.

To change the location where the job logs are stored:

Linux package (Omnibus)

  1. Optional. If you have existing job logs, pause continuous integration data processing by temporarily stopping Sidekiq: 

    sudo gitlab-ctl stop sidekiq

  2. Set the new storage location in /etc/gitlab/gitlab.rb: 

    gitlab_ci['builds_directory'] = '/mnt/gitlab-ci/builds'

  3. Save the file and reconfigure GitLab: 

    sudo gitlab-ctl reconfigure

  4. Use rsync to move job logs from the current location to the new location: 

    sudo rsync -avzh --remove-source-files --ignore-existing --progress /var/opt/gitlab/gitlab-ci/builds/ /mnt/gitlab-ci/builds/

    Use --ignore-existing so you don’t override new job logs with older versions of the same log.

  5. If you opted to pause the continuous integration data processing, you can start Sidekiq again: 

    sudo gitlab-ctl start sidekiq

  6. Remove the old job logs storage location: 

    sudo rm -rf /var/opt/gitlab/gitlab-ci/builds
Self-compiled (source)

  1. Optional. If you have existing job logs, pause continuous integration data processing by temporarily stopping Sidekiq: 

    # For systems running systemd
sudo systemctl stop gitlab-sidekiq

# For systems running SysV init
sudo service gitlab stop

  2. Edit /home/git/gitlab/config/gitlab.yml to set the new storage location: 

    production: &base
  gitlab_ci:
    builds_path: /mnt/gitlab-ci/builds

  3. Save the file and restart GitLab: 

    # For systems running systemd
sudo systemctl restart gitlab.target

# For systems running SysV init
sudo service gitlab restart

  4. Use rsync to move job logs from the current location to the new location: 

    sudo rsync -avzh --remove-source-files --ignore-existing --progress /home/git/gitlab/builds/ /mnt/gitlab-ci/builds/

    Use --ignore-existing so you don’t override new job logs with older versions of the same log.

  5. If you opted to pause the continuous integration data processing, you can start Sidekiq again: 

    # For systems running systemd
sudo systemctl start gitlab-sidekiq

# For systems running SysV init
sudo service gitlab start

  6. Remove the old job logs storage location: 

    sudo rm -rf /home/git/gitlab/builds

Uploading logs to object storage

Archived logs are considered as job artifacts. Therefore, when you set up the object storage integration, job logs are automatically migrated to it along with the other job artifacts.

See “Phase 3: uploading” in Data flow to learn about the process.

Prevent local disk usage

If you want to avoid any local disk usage for job logs, you can do so using one of the following options:

How to remove job logs

There isn’t a way to automatically expire old job logs, but it’s safe to remove them if they’re taking up too much space. If you remove the logs manually, the job output in the UI is empty.

For example, to delete all job logs older than 60 days, run the following command from a shell in your GitLab instance.

note
For the Helm chart, use the storage management tools provided with your object storage.
caution
The following command permanently deletes the log files and is irreversible.
Linux package (Omnibus)
find /var/opt/gitlab/gitlab-rails/shared/artifacts -name "job.log" -mtime +60 -delete
Docker

Assuming you mounted /var/opt/gitlab to /srv/gitlab: 

find /srv/gitlab/gitlab-rails/shared/artifacts -name "job.log" -mtime +60 -delete
Self-compiled (source)
find /home/git/gitlab/shared/artifacts -name "job.log" -mtime +60 -delete

After the logs are deleted, you can find any broken file references by running the Rake task that checks the integrity of the uploaded files. For more information, see how to delete references to missing artifacts.

Incremental logging architecture

  • To use in GitLab self-managed instances, ask a GitLab administrator to enable it.

By default, job logs are sent from the GitLab Runner in chunks and cached temporarily on disk. After the job completes, a background job archives the job log. The log is moved to the artifacts directory by default, or to object storage if configured.

In a scaled-out architecture with Rails and Sidekiq running on more than one server, these two locations on the file system have to be shared using NFS, which is not recommended. Instead:

  1. Configure object storage for storing archived job logs.
  2. Enable the incremental logging feature, which uses Redis instead of disk space for temporary caching of job logs.

Enable or disable incremental logging

Before you enable the feature flag:

To enable incremental logging:

  1. Open a Rails console.

  2. Enable the feature flag: 

    Feature.enable(:ci_enable_live_trace)

    Running jobs’ logs continue to be written to disk, but new jobs use incremental logging.

To disable incremental logging:

  1. Open a Rails console.

  2. Disable the feature flag: 

    Feature.disable(:ci_enable_live_trace)

    Running jobs continue to use incremental logging, but new jobs write to the disk.

Technical details

The data flow is the same as described in the data flow section with one change: the stored path of the first two phases is different. This incremental log architecture stores chunks of logs in Redis and a persistent store (object storage or database) instead of file storage. Redis is used as first-class storage, and it stores up-to 128 KB of data. After the full chunk is sent, it is flushed to a persistent store, either object storage (temporary directory) or database. After a while, the data in Redis and a persistent store is archived to object storage.

The data are stored in the following Redis namespace: Gitlab::Redis::TraceChunks.

Here is the detailed data flow:

  1. The runner picks a job from GitLab
  2. The runner sends a piece of log to GitLab
  3. GitLab appends the data to Redis
  4. After the data in Redis reaches 128 KB, the data is flushed to a persistent store (object storage or the database).
  5. The above steps are repeated until the job is finished.
  6. After the job is finished, GitLab schedules a Sidekiq worker to archive the log.
  7. The Sidekiq worker archives the log to object storage and cleans up the log in Redis and a persistent store (object storage or the database).

Limitations