datahub/docker/docker-compose.dev.yml

# Default overrides for running local development.

# Images here are made as "development" images by following the general pattern of defining a multistage build with
# separate prod/dev steps; using APP_ENV to specify which to use. The dev steps should avoid building and instead assume
# that binaries and scripts will be mounted to the image, as also set up by this file. Also see see this excellent
# thread https://github.com/docker/cli/issues/1134.

# To make a JVM app debuggable via IntelliJ, go to its env file and add JVM debug flags, and then add the JVM debug
# port to this file.
---
# TODO mount + debug docker file for frontend
version: '3.8'
services:
  datahub-gms:
    image: linkedin/datahub-gms:debug
    build:
      context: datahub-gms
      dockerfile: Dockerfile
      args:
        APP_ENV: dev
    volumes:
      - ./datahub-gms/start.sh:/datahub/datahub-gms/scripts/start.sh
      - ../gms/war/build/libs/:/datahub/datahub-gms/bin

  datahub-mae-consumer:
    image: linkedin/datahub-mae-consumer:debug
    build:
      context: datahub-mae-consumer
      dockerfile: Dockerfile
      args:
        APP_ENV: dev
    volumes:
      - ./datahub-mae-consumer/start.sh:/datahub/datahub-mae-consumer/scripts/start.sh
      - ../metadata-jobs/mae-consumer-job/build/libs/:/datahub/datahub-mae-consumer/bin/

  datahub-mce-consumer:
    image: linkedin/datahub-mce-consumer:debug
    build:
      context: datahub-mce-consumer
      dockerfile: Dockerfile
      args:
        APP_ENV: dev
    volumes:
      - ./datahub-mce-consumer/start.sh:/datahub/datahub-mce-consumer/scripts/start.sh
      - ../metadata-jobs/mce-consumer-job/build/libs/:/datahub/datahub-mce-consumer/bin