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A pull request, a.k.a. merge request, is a request by a user to merge a branch into another branch. [118] [119] Git does not itself provide for pull requests, but it is a common feature of git cloud services. The underlying function of a pull request is no different than that of an administrator of a repository pulling changes from another ...
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.
A pull request can be accepted or rejected by maintainers. [13] Once the pull request is reviewed and approved, it is merged into the repository. Depending on the established workflow, the code may need to be tested before being included into official release. Therefore, some projects contain a special branch for merging untested pull requests.
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 clone ...
Upstream development allows other distributions to benefit from it when they pick up the future release or merge recent (or all) upstream patches. [1] Likewise, the original authors (maintaining upstream) can benefit from contributions that originate from custom distributions, if their users send patches upstream.
The official kernel, that is the Linus git branch at the kernel.org repository, contains binary blobs released under the terms of the GNU GPLv2 license. [5] [10] Linux can also search filesystems to locate binary blobs, proprietary firmware, drivers, or other executable modules, then it can load and link them into kernel space. [324]
By way of illustration, the following code fragments demonstrate detection of patterns within event streams. The first is an example of processing a data stream using a continuous SQL query (a query that executes forever processing arriving data based on timestamps and window duration).
Git's design uses some ideas from Monotone, but the two projects do not share any core source code. Git has a much stronger focus on high performance, inspired by the lengthy history and demanding distributed modes of collaboration used by Torvalds and the other Linux kernel authors. Torvalds later commented on Monotone's design and performance: