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Manual merging is also required when automatic merging runs into a change conflict; for instance, very few automatic merge tools can merge two changes to the same line of code (say, one that changes a function name, and another that adds a comment). In these cases, revision control systems resort to the user to specify the intended merge result.
Some revision control systems have specific jargon for the main development branch. For example, in CVS, it is called the "MAIN" branch. Git uses "master" by default, although GitHub [4] [5] and GitLab switched to "main" after the murder of George Floyd.
The command to create a local repo, git init, creates a branch named master. [61] [111] Often it is used as the integration branch for merging changes into. [112] Since the default upstream remote is named origin, [113] the default remote branch is origin/master. Some tools such as GitHub and GitLab create a default branch named main instead.
Contributions to a source code repository that uses a distributed version control system are commonly made by means of a pull request, also known as a merge request. [11] The contributor requests that the project maintainer pull the source code change, hence the name "pull request".
As an alternative this pattern can be realized using different branches in version control. For instance, GitHub can force all commits to a branch B to be merge commits from pull requests which have successfully been built on the CI server and are up-to-date (i.e. based or rebased on B).
Merge tracking: describes whether a system remembers what changes have been merged between which branches and only merges the changes that are missing when merging one branch into another. End of line conversions : describes whether a system can adapt the end of line characters for text files such that they match the end of line style for the ...
lakeFS is a data versioning engine that manages data in a way similar to code. By using operations such as branching, committing, merging, and reverting, which resemble those found in Git, it facilitates the handling of data and its corresponding schema throughout the entire data life cycle.
In version control systems, a repository is a data structure that stores metadata for a set of files or directory structure. [1] Depending on whether the version control system in use is distributed, like Git or Mercurial, or centralized, like Subversion, CVS, or Perforce, the whole set of information in the repository may be duplicated on every user's system or may be maintained on a single ...