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* fix(security): commons-text in frontend * refactor(restli): set threads based on cpu cores feat(mce-consumers): hit local restli endpoint * testing docker build * Add retry configuration options for entity client * Kafka debugging * fix(kafka-setup): parallelize topic creation * Adjust docker build * Docker build updates * WIP * fix(lint): metadata-ingestion lint * fix(gradle-docker): fix docker frontend dep * fix(elastic): fix race condition between gms and mae for index creation * Revert "fix(elastic): fix race condition between gms and mae for index creation" This reverts commit 9629d12c3bdb3c0dab87604d409ca4c642c9c6d3. * fix(test): fix datahub frontend test for clean/test cycle * fix(test): datahub-frontend missing assets in test * fix(security): set protobuf lib datahub-upgrade & mce/mae-consumer * gitingore update * fix(docker): remove platform on docker base image, set by buildx * refactor(kafka-producer): update kafka producer tracking/logging * updates per PR feedback * Add documentation around mce standalone consumer Kafka consumer concurrency to follow thread count for restli & sql connection pool Co-authored-by: leifker <dleifker@gmail.com> Co-authored-by: Pedro Silva <pedro@acryl.io>
DataHub Frontend Docker Image
Refer to DataHub Frontend Service to have a quick understanding of the architecture and responsibility of this service for the DataHub.
Checking out DataHub UI
After starting your Docker container, you can connect to it by typing below into your favorite web browser:
If using React app:
http://localhost:9002
You can sign in with datahub
as username and password.
Build instructions
If you want to build the datahub-frontend
Docker image yourself, you can run this command from the root directory of the DataHub repository you have locally (using Buildkit):
DOCKER_BUILDKIT=1 docker build -t your_datahub_frontend -f ./docker/datahub-frontend/Dockerfile .
Please note the final .
and that the tag your_datahub_frontend
is determined by you.