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Sonarqube server & scanner scripts using the dockerized community versions

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sonar

Sonarqube server & scanner scripts using the dockerized versions

Requirements

  • bash
  • docker

Installation

Example

Installing in the /opt/sonar directory.

# Since /opt is a system dir, execute the commands as root
sudo su

# Clone the project in the target directory
cd /opt
git clone https://github.com/yannoff/sonar

# Optionally create symlinks to allow system-wide script evocation
cd /usr/bin
ln -s /opt/sonar/bin/server sonar-server
ln -s /opt/sonar/bin/scan sonar-scan

Usage

  1. Start the server

    # Start the sonarqube server
    /opt/sonar/bin/server start
    # Watch the server logs an wait until bootstrap complete
    /opt/sonar/bin/server log
  2. Visit the sonarqube local website at http://localhost:9999

    Default credentials for the first connection:

    • username: admin
    • password: admin
  3. Create a new key and token to use with the project to scan

  4. Launch the scanner from the local project directory, using the previously created key and token

    Example

    /opt/sonar/bin/scan --sources=src/ --project=acme:key --login=1e3a987cde65fdd74118

Scan options

The following options may be used to override the sonar-scanner defaults or the settings defined in the sonar-project.properties file.

--project

The project key.

--sources

Path to the project sources.

--login

The project token.

--host

Alternative host for the sonarqube server. (defaults: sonar-server)

--port

Alternative port for the sonarqube server. (defaults: 9999)

Advanced config

Additional settings may be configured via the .sonarrc file.

Variable Description Default
SONAR_HOME Top-level dir for the server data storage $(dirname .sonarrc)/var
SONAR_PORT Listening port for the sonar server (both internal & exposed) 9999
SONAR_HOST Hostname for the sonar server docker service sonar-server
SONAR_NETWORK Network name for the sonar server docker service sonar

License

Licensed under the MIT License.

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Sonarqube server & scanner scripts using the dockerized community versions

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