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Continuous Integration

Spring Data JDBC Spring Data JDBC

Running CI tasks locally

Since this pipeline is purely Docker-based, it’s easy to:

  • Debug what went wrong on your local machine.

  • Test out a a tweak to your test.sh script before sending it out.

  • Experiment against a new image before submitting your pull request.

All of these use cases are great reasons to essentially run what the CI server does on your local machine.

Important
 To do this you must have Docker installed on your machine.

  1. docker run -it --mount type=bind,source="$(pwd)",target=/spring-data-jdbc-github -v /usr/bin/docker:/usr/bin/docker -v /var/run/docker.sock:/var/run/docker.sock adoptopenjdk/openjdk8:latest /bin/bash

    This will launch the Docker image and mount your source code at spring-data-jdbc-github.

  2. cd spring-data-jdbc-github

    Next, test everything from inside the container:

  3. ./mvnw -Pci,all-dbs clean dependency:list test -Dsort -B (or whatever test configuration you must use)

Since the container is binding to your source, you can make edits from your IDE and continue to run build jobs.

Note
 Docker containers can eat up disk space fast! From time to time, run docker system prune to clean out old images.