tree: cfdf22f8c75c7e90358b57dab6e70f415f4430b0 [path history] [tgz]
  1. docker-syslog-ng-stdout/
  2. etc/
  3. gerrit/
  4. haproxy/
  5. docker-compose.yaml

Gerrit high-availability setup example

This Docker Compose project contains a simple test environment of two Gerrit masters in HA configuration.

How to build

The project can be built using docker-compose.

To build the Docker VMs:

  $ docker-compose build

Building the Docker VMs using a non-default user id

  $ export GERRIT_UID=$(id -u)
  $ docker-compose build --build-arg GERRIT_UID

Above, exporting that UID is optional and will be 1000 by default. Build the gerrit images this way only if the user with id 1000 on your host is not owned by you. For example, some corporate environments use a restricted 1000 user (id). In that case, the containerized application may fail to write towards the host (through volumes).

That UID will be the one set for the containerized gerrit user. Latter‘s group will remain as default (1000). This is because groups known from the host need to be redefined for containers. Setting that user’s group in the container is not necessary for writing anyway, as opposed to its user id. The individual gerrit user's writing permission does suffice.

How to run

Use the ‘up’ target to startup the Docker Compose VMs.

  $ docker-compose up

How to test

Consider the instructions on how to use Gerrit core's Gatling framework, to run non-core test scenarios such as this plugin one below:

  $ sbt "gatling:testOnly"

This is a scenario that can serve as an example for how to start testing an HA Gerrit system. That scenario tries to clone a project created on gerrit 1 (port 8081) but from gerrit 2 (on 8082). The scenario therefore expects Gerrit HA to have properly synchronized the new project from 1 to 2. That project gets deleted after, here using HA Gerrit straight (through default http port 80).

Scenario scala source files and their companion json resource ones are stored under the usual src/test directories. That structure follows the scala package one from the scenario classes. The core framework expects such a directory structure for both the scala and resources (json data) files.

How to stop

Simply type CTRL+C on the window that started the environment and all the VMs will stop. Their state will be persisted and the next run will continue with the same data.

How to clean

If you want to stop and cleanup all the previous state, use the ‘down’ target.

  $ docker-compose down