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We maintain a (large) number of jobs on the ASF Jenkins instance. Historically, we had a few large reactor builds but those proved to be of limited usefulness:
In practice, this meant that the Sling CI jobs were red almost all of the time.
To solve these issues we have decided to create individual jobs for each module. Given that Sling has a large number of modules, it is unrealistic to manage them all manually. As such, we have started using the Jenkins Job DSL Plugin . This allows us to programatically create jobs based on a groovy script.
We currently have the following views defined:
Since all the job management is now done via a Groovy script manual job creation is discouraged. Altering an existing job is also discouraged since the changes will be undone when the jobs are next regenerated.
Jobs are managed by using a 'seed' job, which processes the DSL script. The job is currently located at https://builds.apache.org/view/S-Z/view/Sling/job/sling-seed-build . Typically there is no need to touch this job.
The script controlling the job management is located at https://github.com/apache/sling-tooling-jenkins/blob/master/create_jobs.groovy . To add a new job, the module must be available on GitHub and listed in the manifest file at https://github.com/apache/sling-aggregator/blob/master/default.xml .
Per-job customisations can be applied by creating a Sling module descriptor in the git repository root, see Sling module descriptor for details.
Pax-Exam tests using SNAPSHOT versions are problematic since they have no way of knowing the general Maven context and they don't obey the custom Maven repositories. As such, we need to manually define the Apache SNAPSHOT repository for those tests. One issue were this was done is .
If you're using the
org.apache.sling.testing.paxexam module, this is already incorporated as of version
Also, if a Pax-Exam test depends on a SNAPSHOT version of another Sling bundle, the project holding the test will not be rebuilt when a new SNAPSHOT of the included bundle is deployed. This only works if there is a dependency to that bundle and the required version in the pom.xml file.
If you wish to perform more complex changes, affecting the logic of the script, it's recommended to test these changes on a separate Jenkins instance. This way you minimise the chances that something goes wrong on the ASF Jenkins instance and you get very quick feedback. As of 2016-10-01, a run on sling-seed-build on builds.apache.org takes between 10 and 90 minutes.
The fastest way to setup Jenkins locally ( until we fix ) is to use a local docker instance - https://github.com/bdelacretaz/docker-jenkins-dsl-ready provides a Docker image with all the required plugins (as of 2016-10-19) that you can use as follows:
docker build -t jenkins-sling . export WS=<root of your local sling repo checkout> docker run -p 8080:8080 -v $WS/tooling-jenkins:/usr/share/jenkins/ref/jobs/SeedJob/workspace/:ro jenkins-sling
And then look at http://localhost:8080/job/SeedJob/ for the seed job execution and http://localhost:8080/ for the list of generated jobs.
That image might not allow you to execute the generated jobs (I haven't tested that so far - patches welcome) but at least verify their generation.
These instructions allow you to run Jenkins from its official Docker image (which is used as the base image of the above one)
docker run -p 8080:8080 -p 50000:50000 -v `pwd`/data:/var/jenkins_home jenkins
After configuring Jenkins for the first time, perform the following steps:
If you wish to test the actual job execution, label the master with the "Ubuntu" label. Otherwise, only the seed job will run.
We rely on the Jenkins Maven Plugin to automatically detect relationship between jobs, e.g. from
org.apache.sling.distribution.api . However, this does not take into account the provisioning model. To work around this, we currently set up some very broad rules, such as 'all entries under bundles/ or installer/ trigger a launchpad build'. Also, we manually set some dependencies between some of the launchpad testing jobs. We might revisit this to see if we can do something more fine-grained.