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Version control systems attach metadata to changesets. Typical metadata includes a description provided by the programmer (a "commit message" in Git lingo), the name of the author, the date of the commit, etc. [9] Unique identifiers are an important part of the metadata which version control systems attach to changesets.
git commit -m [commit message], which commits the files from the current working directory (so they are now part of the repository's history). A .gitignore file may be created in a Git repository as a plain text file. The files listed in the .gitignore file will not be tracked by Git.
In version control systems, a commit is an operation which sends the latest changes of the source code to the repository, making these changes part of the head revision of the repository. Unlike commits in data management , commits in version control systems are kept in the repository indefinitely.
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 ...
This includes "the management of history list, the history scroller, menu entries for undo and redo and update of the menu entries depending on the name of the next available command." [1] Every command class has a do method which is called when a command is executed. The undo-method implements the reverse operation of the do-method.
VFS for Git is designed to ease the handling of enterprise-scale Git repositories, such as the Microsoft Windows operating system (whose development switched to Git under Microsoft's internal "One Engineering System" initiative). The system exposes a virtual file system that only downloads files to local storage as they are needed.
Distributed version control systems (DVCS) use a peer-to-peer approach to version control, as opposed to the client–server approach of centralized systems. Distributed revision control synchronizes repositories by transferring patches from peer to peer. There is no single central version of the codebase; instead, each user has a working copy ...
A sample UML class and sequence diagram for the Command design pattern. [3]In the above UML class diagram, the Invoker class doesn't implement a request directly. Instead, Invoker refers to the Command interface to perform a request (command.execute()), which makes the Invoker independent of how the request is performed.