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45 lines
2.2 KiB
45 lines
2.2 KiB
= Continuous Integration |
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image:https://jenkins.spring.io/buildStatus/icon?job=spring-data-commons%2F&subject=Moore%20(main)[link=https://jenkins.spring.io/view/SpringData/job/spring-data-commons/] |
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image:https://jenkins.spring.io/buildStatus/icon?job=spring-data-commons%2F2.1.x&subject=Lovelace%20(2.1.x)[link=https://jenkins.spring.io/view/SpringData/job/spring-data-commons/] |
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image:https://jenkins.spring.io/buildStatus/icon?job=spring-data-commons%2F1.13.x&subject=Ingalls%20(1.13.x)[link=https://jenkins.spring.io/view/SpringData/job/spring-data-commons/] |
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== Running CI tasks locally |
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Since this pipeline is purely Docker-based, it's easy to: |
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* Debug what went wrong on your local machine. |
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* Test out a a tweak to your `test.sh` script before sending it out. |
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* Experiment against a new image before submitting your pull request. |
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All of these use cases are great reasons to essentially run what the CI server does on your local machine. |
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IMPORTANT: To do this you must have Docker installed on your machine. |
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1. `docker run -it --mount type=bind,source="$(pwd)",target=/spring-data-commons-github adoptopenjdk/openjdk8:latest /bin/bash` |
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This will launch the Docker image and mount your source code at `spring-data-commons-github`. |
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2. `cd spring-data-commons-github` |
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Next, run your tests from inside the container: |
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3. `./mvnw clean dependency:list test -Dsort` (or whatever profile you need to test out) |
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Since the container is binding to your source, you can make edits from your IDE and continue to run build jobs. |
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If you need to test the `build.sh` script, do this: |
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1. `docker run -it --mount type=bind,source="$(pwd)",target=/spring-data-commons-github adoptopenjdk/openjdk8:latest /bin/bash` |
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This will launch the Docker image and mount your source code at `spring-data-commons-github`. |
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2. `cd spring-data-commons-github` |
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Next, try to package everything up from inside the container: |
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3. `./mvnw -Pci,snapshot -Dmaven.test.skip=true clean deploy` |
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IMPORTANT: This will attempt to deploy to artifactory, but without credentials, it will fail, leaving you simply with a built artifact. |
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NOTE: Docker containers can eat up disk space fast! From time to time, run `docker system prune` to clean out old images.
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