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clone pull push branch – commit –branch clone/open update N/A add rm/del mv/rename N/A merge commit revert Fossil's repository is single sqlite file itself N/A Git: init – init –bare clone – clone –bare fetch push branch checkout pull N/A add rm mv cp [then] git add [nb 67] merge commit reset –hard bundle rebase Mercurial: init ...
After the commit has been applied, the last step is to push the commit to the given software repository, in the case below named origin, to the branch main: [3] git push origin main. Also, a shortcut to add all the unstaged files and make a commit at the same time is: [4] git commit -a -m 'commit message'
git clone [URL], which clones, or duplicates, a git repository from an external URL. git add [file] , which adds a file to git's working directory (files about to be committed). git commit -m [commit message] , which commits the files from the current working directory (so they are now part of the repository's history).
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.
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.
A gated commit, gated check-in [1] or pre-tested commit [2] is a software integration pattern that reduces the chances for breaking a build (and often its associated tests) by committing changes into the main branch of version control. This pattern can be supported by a continuous integration (CI) server. [3]
Copy-on-write (COW), also called implicit sharing [1] or shadowing, [2] is a resource-management technique [3] used in programming to manage shared data efficiently. Instead of copying data right away when multiple programs use it, the same data is shared between programs until one tries to modify it.
The dynamic and snapshot view types are supported by the ClearCase local client (CCLC). The ClearCase remote client (CCRC) supports analogous view types: the automatic view and the web view. Both are copy-based, but the automatic view uses the MVFS to support local, shareable pools of VOB objects.