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Git implements several merging strategies; a non-default strategy can be selected at merge time: [56] resolve: the traditional three-way merge algorithm. recursive: This is the default when pulling or merging one branch, and is a variant of the three-way merge algorithm.
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.
The users of the version control system can branch any branch. Branches are also known as trees, streams or codelines. The originating branch is sometimes called the parent branch, the upstream branch (or simply upstream, especially if the branches are maintained by different organizations or individuals), or the backing stream.
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 ...
[1] [2] [3] Git, the world's most popular version control system, [4] is a distributed version control system. In 2010, software development author Joel Spolsky described distributed version control systems as "possibly the biggest advance in software development technology in the [past] ten years".
git reset --hard makes the current branch point to some specific revision or branch, and replaces the current working files with the files from that branch. git merge merges files from a given branch into the current branch. git push uploads changes from local branches to the respective remote repositories. git add puts current working files ...
Version control (also known as revision control, source control, and source code management) is the software engineering practice of controlling, organizing, and tracking different versions in history of computer files; primarily source code text files, but generally any type of file.
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.