How to setup OpenGrok

Kryštof Tulinger edited this page Nov 12, 2018 · 22 revisions

OpenGrok can be installed and used under different use cases. Advanced usage depends on your knowledge of running java applications and command line options. Note, that you need the create the index no matter what is your use case. Without indexes Opengrok will be simply useless.


You need the following:

After unpacking the binaries to your target directory, the index needs to be created and the web application deployed.

See for OS specific integration.

Creating the index

The data to be indexed should be stored in a directory called source root. Each subdirectory under this directory is called project (projects can be disabled but let's leave this detail aside for now) and usually contains checkout of a repository (or it's branch, version, ...) sources. Each project can have multiple repositories.

The concept of projects was introduced to effectively replace the need for more web applications with opengrok .war and leave you with one indexer and one web application serving more source code repositories - projects.

The index data will be created under directory called data root.

Step.0 - Setting up the sources

Source base should be available locally for OpenGrok to work efficiently. No changes are required to your source tree. If the code is under CVS or SVN, OpenGrok requires the '''checked out source''' tree under source root.

Step.1 - Install management tools (optional)

This step is optional, the python package contains wrappers for OpenGrok's indexer and other commands. In the release tarball navigate to tools subdirectory and install the opengrok-tools.tar.gz as a python package. Then you can use defined commands. You can of course run the plain java yourself, without these wrappers. The tools are mainly useful for parallel repository synchronization and indexing and also in case when managing multiple OpenGrok instances with diverse Java installations.

In shell, you can install the package simply by:

$ python3 -m pip install opengrok-tools.tar.gz

Of course, the Python package can be installed into Python virtual environment.

Step.2 - Deploy the web application

Install web application container of your choice (e.g. Tomcat, Glassfish).

Copy the .war file to the location where the application container will detect it and deploy the web application.

If you happen to be using the Python tools, you can use the opengrok-deploy script to perform the same. The script is also handy when the configuration file is stored in non-standard location (i.e. other than /var/opengrok/etc/configuration.xml)

See for more configuration options.

Step.3 - Indexing

This step consists of these operations:

  • create index
  • let the indexer generate the configuration file
  • notify the web application that new index is available

The indexing can take a lot of time - for large code bases (meaning both amount of source code and history) it can take many hours. After this is done, indexer automatically attempts to upload newly generated configuration to the web application. Until this is done, the web application will display the old state.

The indexer can be run either using opengrok.jar directly:

java -Djava.util.logging.config.file=/var/opengrok/ \
    -jar /opengrok/dist/lib/opengrok.jar \
    -c /path/to/universal/ctags \
    -s /var/opengrok/src -d /var/opengrok/data -H -P -S -G \
    -W /var/opengrok/etc/configuration.xml -U http://localhost:8080

or using the opengrok-indexer wrapper like so:

opengrok-indexer -J=-Djava.util.logging.config.file=/var/opengrok/ \
    -a /opengrok/dist/lib/opengrok.jar -- \
    -c /path/to/universal/ctags \
    -s /var/opengrok/src -d /var/opengrok/data -H -P -S -G \
    -W /var/opengrok/etc/configuration.xml -U http://localhost:8080

Notice how the indexer arguments are the same. The opengrok-indexer will merely find the Java executable and run it.

The above will use /var/opengrok/src as source root, /var/opengrok/data as data root. The configuration will be written to /var/opengrok/etc/configuration.xml and sent to the web application (via the URL passed to the -U option) at the end of the indexing.

Run the command with -h to get more information about the options, i.e.:

java -jar /opengrok/dist/lib/opengrok.jar -h

or when using the Python scripts:

opengrok-indexer -a /opengrok/dist/lib/opengrok.jar -- -h

Optionally use --detailed together with -h to get extra detailed help, including examples.

It is assumed that any SCM commands are reachable in one of the components of the PATH environment variable (e.g. the git command for Git repositories). Likewise, this should be maintained in the environment of the user which runs the web server instance.

You should now be able to point your browser to http://YOUR_WEBAPP_SERVER:WEBAPPSRV_PORT/source to work with your fresh installation.

In some setups, it might be desirable to run the indexing (and especially mirroring) of each project in parallel in order to speed up the overall progress. See on how this can be done.

See for more indexer configuration options.

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