stage | group | info |
---|---|---|
Manage |
Import and Integrate |
To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/product/ux/technical-writing/#assignments |
Introduced in GitLab 11.2.
NOTE: This process is different than importing from Bitbucket Cloud.
From Bitbucket Server, you can import:
- Repository description
- Git repository data
- Pull requests
- Pull request comments
When importing, repository public access is retained. If a repository is private in Bitbucket, it's created as private in GitLab as well.
- Ability to re-import projects introduced in GitLab 15.9.
- Ability to import reviewers introduced in GitLab 16.3.
You can import Bitbucket repositories to GitLab.
Requirement for Maintainer role instead of Developer role introduced in GitLab 16.0 and backported to GitLab 15.11.1 and GitLab 15.10.5.
- Bitbucket Server import source must be enabled. If not enabled, ask your GitLab administrator to enable it. The Bitbucket Server import source is enabled by default on GitLab.com.
- At least the Maintainer role on the destination group to import to.
To import your Bitbucket repositories:
- Sign in to GitLab.
- On the left sidebar, at the top, select Create new ({plus}) and New project/repository.
- Select Import project.
- Select Bitbucket Server.
- Log in to Bitbucket and grant GitLab access to your Bitbucket account.
- Select the projects to import, or import all projects. You can filter projects by name and select the namespace for which to import each project.
- To import a project:
- For the first time: Select Import.
- Again: Select Re-import. Specify a new name and select Re-import again. Re-importing creates a new copy of the source project.
The following items aren't imported:
- Pull request approvals
- Attachments in Markdown
- Task lists
- Emoji reactions
The following items are changed when they are imported:
- GitLab doesn't allow comments on arbitrary lines of code. Any out-of-bounds Bitbucket comments are inserted as comments in the merge request.
- Multiple threading levels are collapsed into one thread and quotes are added as part of the original comment.
- Declined pull requests have unreachable commits. These pull requests show up as empty changes.
- Project filtering doesn't support fuzzy search. Only starts with or full match strings are supported.
Prerequisite:
- Authentication token with administrator access.
When issues and pull requests are importing, the importer tries to find the author's email address with a confirmed email address in the GitLab user database. If no such user is available, the project creator is set as the author. The importer appends a note in the comment to mark the original creator.
The importer creates any new namespaces (groups) if they don't exist. If the namespace is taken, the repository imports under the namespace of the user who started the import process.
The importer attempts to find reviewers by their email address in the GitLab user database. If they don't exist in GitLab, they cannot be added as reviewers to a merge request.
- Introduced in GitLab 13.4 with a flag named
bitbucket_server_user_mapping_by_username
. Disabled by default.- Not recommended for production use.
FLAG:
On self-managed GitLab and GitLab.com, by default this feature is not available. To make it
available, an administrator can enable the feature flag
named bitbucket_server_user_mapping_by_username
. This feature is not ready for production use.
With this feature enabled, the importer tries to find a user in the GitLab user database with the author's:
username
slug
displayName
If no user matches these properties, the project creator is set as the author.
If the GUI-based import tool does not work, you can try to:
- Use the GitLab Import API Bitbucket Server endpoint.
- Set up repository mirroring. It provides verbose error output.
See the troubleshooting section for Bitbucket Cloud.
If the project import completes but LFS objects can't be downloaded or cloned, you may be using a password or personal access token containing special characters. For more information, see this issue.
Importing large projects spawns a process that can consume a lot of memory. Sometimes you can see messages such as Sidekiq worker RSS out of range
in the
Sidekiq logs. This can mean that MemoryKiller is interrupting the RepositoryImportWorker
because it's using
too much memory.
To resolve this problem, temporarily increase the SIDEKIQ_MEMORY_KILLER_MAX_RSS
environment variable using
custom environment variables from the default 2000000
value to a larger value like 3000000
.
Consider memory constraints on the system before deciding to increase SIDEKIQ_MEMORY_KILLER_MAX_RSS
.