Getting started with Bitbucket Cloud

Everything you need to know to get started analyzing your Bitbucket Cloud projects on SonarQube Cloud.

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You can take a look at these various projects: Sample projects analyzed on SonarQube Cloudarrow-up-right.

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Sign up

Sign up to SonarQube Cloud using GitHub.
  1. Select Bitbucket from the list of DevOps platforms. You will be taken to the Bitbucket login page.

  2. Sign in using your Bitbucket credentials. For prerequisites on your DevOps account’s email address, see Signing in via your DevOps platform service.

Your SonarQube Cloud account is created and bound to your Bitbucket account. For more information, see Authenticationarrow-up-right in the Trust Center.

Once you have successfully logged in, you will be prompted to connect your Bitbucket workspace with SonarQube Cloud and create your SonarQube Cloud organization.

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Create your organization

We use an organization-based structure that mirrors the structure on your chosen DevOps platforms: each SonarQube Cloud organization corresponds one-to-one with a GitHub organization or personal account. A subscription plan is associated one-to-one with a SonarQube Cloud organization. See Subscription plans for a comparison between the different plans.

To create your SonarQube Cloud organization, you’ll import your Bitbucket Cloud workspace to SonarQube Cloud.

Proceed as follows. For detailed prerequisites and instructions, see Importing Bitbucket workspace.

  1. Select Import an organization from Bitbucket.

  2. When prompted, grant access to the SonarQube Cloud application to read your Bitbucket Cloud workspace. SonarQube Cloud requests access for:

    • Reading your account information.

    • Reading your repositories and their pull requests.

    • Reading your team membership information.

  3. Check the organization details.

  4. Select the subscription plan

  5. Create your organization. A new page opens.

  6. Select Analyze a new project and go to the next step below.

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Import your repositories

You can now import the existing projects (that is, individual Git repositories) that you want to analyze from your Bitbucket workspace into your newly created SonarQube Cloud organization. A corresponding, one-to-one SonarQube Cloud project will be created for each imported repository.

Proceed as follows (you need the Create Projects permission in your organization):

  1. Select the repositories you want to import and select the Set up button.

Select your repository(ies) and select the Set up button.
  1. Select the new code definition for your new project(s). For more information about this definition, see Quality standards and new code. Note that the new code definition you apply at this stage will apply to all of the projects you have selected for import. You can change your new code definition later on a per-project basis (see New code definition).

Select a new code definition option for your project.
  1. Create your project(s).

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The project creator becomes the project admin. To set up the project permissions, see Setting your project's permissions.

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Set up your project analysis

With Bitbucket projects, the actual analysis is performed in your build environment (for example, on a cloud CI or your local machine). This means you have to configure your build process to perform the analysis on each build and communicate the results up to SonarQube Cloud.

We refer to this analysis method as CI-based analysis (though it may take place in a cloud CI or a manually configured build environment) to contrast it with automatic analysis which works by SonarQube Cloud directly accessing your repository and performing the analysis itself. However, automatic analysis is currently available only for GitHub projects and only for a subset of languages.

SonarQube Cloud will guide you through a tutorial on how to set up your build environment to run your analysis. The first step is to select your build environment. If you have no particular preference and are setting up a new project on Bitbucket, we recommend using Bitbucket Pipelines as your CI. See Bitbucket Pipelines.

To understand the SonarQube analysis principles, see SonarQube analysis overview.

About the SonarQube Cloud analysis

The SonarScanner performs the automated source code analysis as part of your code review process. This stand-alone program runs on the CI/CD host and sends the analysis results to SonarQube Server, which computes them, calculates the quality gate, and generates reports.

To perform the analysis, the SonarScanner uses the Sonar analyzers that it downloads from SonarQube Cloud at installation.

The Sonar Solution offers SonarScanners that integrate with the following build systems: Gradle, Maven, .NET, NPM, and Python. For other project types, the SonarScanner CLI which requires more manual configuration is used.

For more information about integrated CI tools and SonarScanners, see CI-based analysis

Setting up the pull request analysis

By setting up pull request analysis, you ensure pull requests are analyzed when they are opened and every time a change is pushed to the pull request branch. To do so, you must add the SonarQube Cloud analysis to your CI pipeline.

You can also configure pull request decoration to allow your developers to view the analysis from SonarQube Cloud directly on the pull requests they submit.

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Connect with SonarQube for IDE

SonarQube for IDE is a free IDE extension that integrates with SonarQube Cloud. Like a spell checker, SonarQube for IDE highlights issues as you type.

Install SonarQube for IDE to leverage the power of SonarQube in your IDE. To do so, see SonarQube for IDE.

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View your analysis results

The Project Overview page.

Review your project’s quality gate

The purpose of Quality gates is to tell you whether your code is good enough to be pushed to the next step:

  • For the main branch and other long-lived branches, the quality gate answers the question: "Can I release my code today?"

  • For pull requests (and short-lived branches), the quality gate answers the question: "Can I merge this pull request?"

By keeping an eye on the quality gates, the decision makers can quickly judge the status of code and decide what to do next.

For more information, see Quality gates.

Review your issues

An analysis detects an issue as a problem in your code. When a coding rule is broken, an issue is raised. Each issue affects one or more software qualities with a varying impact level, called severity, as inherited from the rule. For more information about rules, see Viewing and managing rules.

To review your issues, see Managing code issues

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Adjust your project setup

The analysis performed by the SonarScanner is configured through analysis parameters. The following applies:

  • A few analysis parameters are mandatory.

  • Many analysis parameters, such as those defining the analysis scope, have a default value and can be adjusted.

  • Analysis parameters allow you to include the code and test coverage in your analysis, or to import issues generated by a third-party analyzer, etc.

SonarQube Server manages the analysis parameters through sonar properties (The sonar property key has the following syntax: sonar.<property>.).

You can configure the analysis parameters in different places. For more information, see Configuration overview.

You can:

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Check out security reports and portfolios

Managers and tech leads can check out the security reports and portfolios features to begin monitoring the security and releasability of projects. For more information, see Viewing the enterprise reports.

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