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docs: points to docker images hosted by linkedin org
As we're now utilize GitHub Actions to build & publish docker images to docker hub under linkedin org Also allow overriding image tags via DATAHUB_VERSION environment variable
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‎docker/README.md‎

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# Docker Images
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The easiest way to bring up and test DataHub is using DataHub [Docker](https://www.docker.com) images
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which are continuously deployed to [Docker Hub](https://hub.docker.com/u/keremsahin) with every commit to repository.
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which are continuously deployed to [Docker Hub](https://hub.docker.com/u/linkedin) with every commit to repository.
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* [**datahub-gms**](gms): [![Docker Cloud Build Status](https://img.shields.io/docker/cloud/build/keremsahin/datahub-gms)](https://cloud.docker.com/repository/docker/keremsahin/datahub-gms/)
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* [**datahub-frontend**](frontend): [![Docker Cloud Build Status](https://img.shields.io/docker/cloud/build/keremsahin/datahub-frontend)](https://cloud.docker.com/repository/docker/keremsahin/datahub-frontend/)
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* [**datahub-mce-consumer**](mce-consumer): [![Docker Cloud Build Status](https://img.shields.io/docker/cloud/build/keremsahin/datahub-mce-consumer)](https://cloud.docker.com/repository/docker/keremsahin/datahub-mce-consumer/)
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* [**datahub-mae-consumer**](mae-consumer): [![Docker Cloud Build Status](https://img.shields.io/docker/cloud/build/keremsahin/datahub-mae-consumer)](https://cloud.docker.com/repository/docker/keremsahin/datahub-mae-consumer/)
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* [linkedin/datahub-gms](https://cloud.docker.com/repository/docker/linkedin/datahub-gms/)
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* [linkedin/datahub-frontend](https://cloud.docker.com/repository/docker/linkedin/datahub-frontend/)
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* [linkedin/datahub-mae-consumer](https://cloud.docker.com/repository/docker/linkedin/datahub-mae-consumer/)
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* [linkedin/datahub-mce-consumer](https://cloud.docker.com/repository/docker/linkedin/datahub-mce-consumer/)
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Above Docker images are created for DataHub specific use. You can check subdirectories to check how those images are
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generated via [Dockerbuild](https://docs.docker.com/engine/reference/commandline/build/) files or

‎docker/frontend/README.md‎

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# DataHub Frontend Docker Image
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[![Docker Cloud Build Status](https://img.shields.io/docker/cloud/build/keremsahin/datahub-frontend)](https://cloud.docker.com/repository/docker/keremsahin/datahub-frontend/)
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[![datahub-frontend docker](https://github.com/linkedin/datahub/workflows/datahub-frontend%20docker/badge.svg)](https://github.com/linkedin/datahub/actions?query=workflow%3A%22datahub-frontend+docker%22)
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Refer to [DataHub Frontend Service](../../datahub-frontend) to have a quick understanding of the architecture and
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responsibility of this service for the DataHub.
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## Build
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```
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docker image build -t keremsahin/datahub-frontend -f docker/frontend/Dockerfile .
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docker image build -t linkedin/datahub-frontend -f docker/frontend/Dockerfile .
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```
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This command will build and deploy the image in your local store.
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‎docker/frontend/docker-compose.yml‎

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version: '3.5'
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services:
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datahub-frontend:
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image: keremsahin/datahub-frontend:latest
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image: linkedin/datahub-frontend:${DATAHUB_VERSION:-latest}
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hostname: datahub-frontend
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container_name: datahub-frontend
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ports:

‎docker/gms/README.md‎

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# DataHub Generalized Metadata Store (GMS) Docker Image
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[![Docker Cloud Build Status](https://img.shields.io/docker/cloud/build/keremsahin/datahub-gms)](https://cloud.docker.com/repository/docker/keremsahin/datahub-gms/)
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[![datahub-gms docker](https://github.com/linkedin/datahub/workflows/datahub-gms%20docker/badge.svg)](https://github.com/linkedin/datahub/actions?query=workflow%3A%22datahub-gms+docker%22)
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Refer to [DataHub GMS Service](../../gms) to have a quick understanding of the architecture and
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responsibility of this service for the DataHub.
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## Build
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```
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docker image build -t keremsahin/datahub-gms -f docker/gms/Dockerfile .
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docker image build -t linkedin/datahub-gms -f docker/gms/Dockerfile .
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```
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This command will build and deploy the image in your local store.
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‎docker/gms/docker-compose.yml‎

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version: '3.5'
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services:
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datahub-gms:
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image: keremsahin/datahub-gms:latest
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image: linkedin/datahub-gms:${DATAHUB_VERSION:-latest}
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hostname: datahub-gms
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container_name: datahub-gms
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ports:

‎docker/mae-consumer/README.md‎

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# DataHub MetadataAuditEvent (MAE) Consumer Docker Image
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[![Docker Cloud Build Status](https://img.shields.io/docker/cloud/build/keremsahin/datahub-mae-consumer)](https://cloud.docker.com/repository/docker/keremsahin/datahub-mae-consumer/)
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[![datahub-mae-consumer docker](https://github.com/linkedin/datahub/workflows/datahub-mae-consumer%20docker/badge.svg)](https://github.com/linkedin/datahub/actions?query=workflow%3A%22datahub-mae-consumer+docker%22)
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Refer to [DataHub MAE Consumer Job](../../metadata-jobs/mae-consumer-job) to have a quick understanding of the architecture and
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responsibility of this service for the DataHub.
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## Build
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```
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docker image build -t keremsahin/datahub-mae-consumer -f docker/mae-consumer/Dockerfile .
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docker image build -t linkedin/datahub-mae-consumer -f docker/mae-consumer/Dockerfile .
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```
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This command will build and deploy the image in your local store.
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‎docker/mae-consumer/docker-compose.yml‎

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version: '3.5'
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services:
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datahub-mae-consumer:
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image: keremsahin/datahub-mae-consumer:latest
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image: linkedin/datahub-mae-consumer:${DATAHUB_VERSION:-latest}
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hostname: datahub-mae-consumer
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container_name: datahub-mae-consumer
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ports:

‎docker/mce-consumer/README.md‎

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# DataHub MetadataChangeEvent (MCE) Consumer Docker Image
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[![Docker Cloud Build Status](https://img.shields.io/docker/cloud/build/keremsahin/datahub-mce-consumer)](https://cloud.docker.com/repository/docker/keremsahin/datahub-mce-consumer/)
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[![datahub-mce-consumer docker](https://github.com/linkedin/datahub/workflows/datahub-mce-consumer%20docker/badge.svg)](https://github.com/linkedin/datahub/actions?query=workflow%3A%22datahub-mce-consumer+docker%22)
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Refer to [DataHub MCE Consumer Job](../../metadata-jobs/mce-consumer-job) to have a quick understanding of the architecture and
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responsibility of this service for the DataHub.
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## Build
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```
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docker image build -t keremsahin/datahub-mce-consumer -f docker/mce-consumer/Dockerfile .
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docker image build -t linkedin/datahub-mce-consumer -f docker/mce-consumer/Dockerfile .
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```
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This command will build and deploy the image in your local store.
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‎docker/mce-consumer/docker-compose.yml‎

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version: '3.5'
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services:
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datahub-mce-consumer:
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image: keremsahin/datahub-mce-consumer:latest
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image: linkedin/datahub-mce-consumer:${DATAHUB_VERSION:-latest}
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hostname: datahub-mce-consumer
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container_name: datahub-mce-consumer
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ports:

‎docker/quickstart/docker-compose.yml‎

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- ELASTICSEARCH_PORT=9200
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datahub-gms:
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image: keremsahin/datahub-gms:latest
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image: linkedin/datahub-gms:${DATAHUB_VERSION:-latest}
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hostname: datahub-gms
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container_name: datahub-gms
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ports:
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java -jar jetty-runner-9.4.20.v20190813.jar gms.war'"
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datahub-frontend:
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image: keremsahin/datahub-frontend:latest
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image: linkedin/datahub-frontend:${DATAHUB_VERSION:-latest}
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hostname: datahub-frontend
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container_name: datahub-frontend
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ports:
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- datahub-gms
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datahub-mae-consumer:
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image: keremsahin/datahub-mae-consumer:latest
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image: linkedin/datahub-mae-consumer:${DATAHUB_VERSION:-latest}
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hostname: datahub-mae-consumer
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container_name: datahub-mae-consumer
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ports:
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dockerize -wait http://neo4j:7474 -timeout 240s && java -jar mae-consumer-job.jar'"
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datahub-mce-consumer:
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image: keremsahin/datahub-mce-consumer:latest
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image: linkedin/datahub-mce-consumer:${DATAHUB_VERSION:-latest}
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hostname: datahub-mce-consumer
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container_name: datahub-mce-consumer
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ports:

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