![]() ![]() For more information, see " Managing the default branch name for your repositories," " Managing the default branch name for repositories in your organization," and " Enforcing repository management policies in your enterprise." Working with branches You can set the name of the default branch for new repositories. ![]() For more information, see " Changing the default branch." You can change the default branch for an existing repository. Unless you specify a different branch, the default branch in a repository is the base branch for new pull requests and code commits.īy default, GitHub names the default branch main in any new repository. ![]() The default branch is also the initial branch that Git checks out locally when someone clones the repository. The default branch is the branch that GitHub displays when anyone visits your repository. This first branch in the repository is the default branch. When you create a repository with content on, GitHub creates the repository with a single branch. For more information, see " Access permissions on GitHub." About the default branch You must have write access to a repository to create a branch, open a pull request, or delete and restore branches in a pull request. For more information, see " About GitHub Pages." You can also use a branch to publish a GitHub Pages site. For more information, see " Creating and deleting branches within your repository." A branch you create to build a feature is commonly referred to as a feature branch or topic branch. ![]() You can then work on this new branch in isolation from changes that other people are making to the repository. Typically, you might create a new branch from the default branch of your repository. You always create a branch from an existing branch. In this way SonarLint together with pull request analysis give you two levels of protection to help keep your code clean.Branches allow you to develop features, fix bugs, or safely experiment with new ideas in a contained area of your repository. If SonarLint shows your code as clean, you can then open a pull request and SonarCloud will perform the pull request analysis to detect more complex issues that were not detectable by SonarLint. With the extension installed, issues will be highlighted even before you create your pull request. The SonarLint IDE extension works well with pull request analysis. Subsequent analyses will occur normally, on pushes to the main branch and on pushes to pull request branches. The main branch and pull request results will appear on the project overview, as usual. On the first analysis not only will the main branch be analyzed, but, also the most recently active pull requests, up to a maximum of five. When a project is first imported into SonarCloud and analyzed by automatic analysis the first analysis behaves differently from subsequent analyses. Existing pull requests on first automatic analysis If you are using build analysis then you must make sure that your build script is configured to build on pull request creation and push. If you are using automatic analysis (which is only available on GitHub) then this happens without any further configuration on pull request creation and on every push to the pull request branch. Of course, to see an analysis result, an analysis must be performed on the pull request. Pull request analysis is available on all supported repository providers. In addition, the other tabs, Issues, Measures and Code let you see more details about the analysis. If the head commit is not defined, it scans the remote branch and, if that is not available, the upstream branch.Ībove you can see that on the Summary tab, the quality gate and the five quality metrics are displayed. As outlined above, the scanner starts by analyzing the HEAD commit, the most recent commit in your current branch. ![]()
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