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DataHub Developer's Guide

Requirements​

:::

On macOS, these can be installed using Homebrew.

# Install Java
brew install openjdk@17

# Install Python
brew install python@3.10  # you may need to add this to your PATH
# alternatively, you can use pyenv to manage your python versions

# Install docker and docker compose
brew install --cask docker

Building the Project​

Fork and clone the repository if haven't done so already

git clone https://github.com/{username}/datahub.git

Change into the repository's root directory

cd datahub

Use gradle wrapper to build the project

./gradlew build

Note that the above will also run run tests and a number of validations which makes the process considerably slower.

We suggest partially compiling DataHub according to your needs:

  • Build Datahub's backend GMS (Generalized metadata service):

    ./gradlew :metadata-service:war:build

  • Build Datahub's frontend:

    ./gradlew :datahub-frontend:dist -x yarnTest -x yarnLint

  • Build DataHub's command line tool:

    ./gradlew :metadata-ingestion:installDev

  • Build DataHub's documentation:

    ./gradlew :docs-website:yarnLintFix :docs-website:build -x :metadata-ingestion:runPreFlightScript
    # To preview the documentation
    ./gradlew :docs-website:serve

Deploying Local Versions​

Run just once to have the local datahub cli tool installed in your $PATH

cd smoke-test/
python3 -m venv venv
source venv/bin/activate
pip install --upgrade pip wheel setuptools
pip install -r requirements.txt
cd ../

Once you have compiled & packaged the project or appropriate module you can deploy the entire system via docker-compose by running:

./gradlew quickstart

Replace whatever container you want in the existing deployment. I.e, replacing datahub's backend (GMS):

(cd docker && COMPOSE_DOCKER_CLI_BUILD=1 DOCKER_BUILDKIT=1 docker compose -p datahub -f docker-compose-without-neo4j.yml -f docker-compose-without-neo4j.override.yml -f docker-compose.dev.yml up -d --no-deps --force-recreate --build datahub-gms)

Running the local version of the frontend

(cd docker && COMPOSE_DOCKER_CLI_BUILD=1 DOCKER_BUILDKIT=1 docker compose -p datahub -f docker-compose-without-neo4j.yml -f docker-compose-without-neo4j.override.yml -f docker-compose.dev.yml up -d --no-deps --force-recreate --build datahub-frontend-react)

IDE Support​

The recommended IDE for DataHub development is IntelliJ IDEA. You can run the following command to generate or update the IntelliJ project file.

./gradlew idea

Open datahub.ipr in IntelliJ to start developing!

For consistency please import and auto format the code using LinkedIn IntelliJ Java style.

Windows Compatibility​

For optimal performance and compatibility, we strongly recommend building on a Mac or Linux system. Please note that we do not actively support Windows in a non-virtualized environment.

If you must use Windows, one workaround is to build within a virtualized environment, such as a VM(Virtual Machine) or WSL(Windows Subsystem for Linux). This approach can help ensure that your build environment remains isolated and stable, and that your code is compiled correctly.

Common Build Issues​

Getting Unsupported class file major version 57​

You're probably using a Java version that's too new for gradle. Run the following command to check your Java version

java --version

While it may be possible to build and run DataHub using newer versions of Java, we currently only support Java 17 (aka Java 17).

Getting cannot find symbol error for javax.annotation.Generated​

Similar to the previous issue, please use Java 17 to build the project. You can install multiple version of Java on a single machine and switch between them using the JAVA_HOME environment variable. See this document for more details.

:metadata-models:generateDataTemplate task fails with java.nio.file.InvalidPathException: Illegal char <:> at index XX or Caused by: java.lang.IllegalArgumentException: 'other' has different root error​

This is a known issue when building the project on Windows due a bug in the Pegasus plugin. Please refer to Windows Compatibility.

As we generate quite a few files from the models, it is possible that old generated files may conflict with new model changes. When this happens, a simple ./gradlew clean should reosolve the issue.

Execution failed for task ':metadata-service:restli-servlet-impl:checkRestModel'​

This generally means that an incompatible change was introduced to the rest.li API in GMS. You'll need to rebuild the snapshots/IDL by running the following command once

./gradlew :metadata-service:restli-servlet-impl:build -Prest.model.compatibility=ignore

java.io.IOException: No space left on device​

This means you're running out of space on your disk to build. Please free up some space or try a different disk.

Build failed for task ./gradlew :datahub-frontend:dist -x yarnTest -x yarnLint​

This could mean that you need to update your Yarn version