Analyze your repository with Bitbucket Pipelines for SonarQube Cloud
Once your project is created and initiated from the repository you selected, you can follow the tutorial to configure your analysis with Bitbucket Pipelines.
Launch your analysis and check your Quality Gate
Launch analyses with the SonarCloud Scan pipe and check the quality gate with the SonarCloud Quality Gate check pipe.
Unsupported build technologies:
These pipes cannot be used for projects built with Maven, Gradle, .NET, and C/C++.
More information:
Analyzing branches
In order to trigger a SonarCloud analysis on each push on a branch, you have to supply the same command in the pull-requests
section of bitbucket-pipelines.yml
(check the bitbucket-pipelines.yml configuration reference for more details about that section). Here is a sample configuration:
Make sure that your bitbucket-pipelines.yml
is up to date in the branch you want to analyze.
Analyzing pull requests
In order to trigger a SonarCloud analysis on each pull request update, you have to supply the same command in the pull-requests
section of bitbucket-pipelines.yml
(check the bitbucket-pipelines.yml configuration reference for more details about that section). Here is a sample configuration:
Make sure that your bitbucket-pipelines.yml
is up to date in the pull request you want to analyze.
Analyzing Monorepo Projects with Bitbucket Cloud: Pipeline Configuration
If you want to analyze a monorepo that contains more than one project, you need to ensure that you specify the paths to each project for analysis in your bitbucket-pipelines.yml
file.
A typical yml file for a monorepo analysis should look something like this.
We recommend checking that you're using the sonarcloud-scan pipe version mentioned on this page.
Note that you need to build each project in the monorepo separately with a unique project key for each one.
Sample projects
You can see our multiple sample projects to see how it works :
If you target a .NET application, see a sample .NET project built with Azure Pipelines.
Troubleshooting
Docker memory limit:
If your Pipelines fail with the error Container ‘docker' exceeded memory limit
, you'll need to increase the memory limit for the docker process in your bitbucket-pipelines.yml
file:
Was this page helpful?