* implement search feature
* add test for dataprocessIndexBuilder; refactor code based on feedback
* update based on PR feedback
* Update DataProcessDocument.pdl
fixed typo wording.
* add not null check for data process info
The current helm command is not compatible with the
docker image. Instead, rely on the docker image's CMD.
Co-authored-by: jsotelo <javier.sotelo@viasat.com>
* add job info as aspect of a dataset
* add job urn def., aspect and entity
* job entity with upstream and downstream lineage
* use job urn in upstream & downstream
* add Job entity rest APIs
* rest.li api, impl and factory for job entity
* code cleanup
* use pdl; onboard data process entity
* add es index json
* fix gradlew build ignored tasks
* add a comment about data process info field
* fix style warning issues
* update content based on PR
* checked in generated snapshot json
* updated based on PR feedback
* update data process data format
* updated based on code review feedback
* revert back gms & mce-job docker image
* delete temp files
* update based pr feedback
* file name and a typo
* format with linkedin style
Co-authored-by: Liangjun <liajiang@expediagroup.com>
* build(docker): refactor docker build scripts
- add "build" option to docker-compose files to simplify rebuilding of images
- create "start.sh" script so it's easier to override "command" in the quickstart's docker-compose file
- use dockerize to wait for requisite services to start up
- add a dedicated Dockerfile for kafka-setup
This fixes https://github.com/linkedin/datahub/issues/1549 & https://github.com/linkedin/datahub/issues/1550
- add "build" option to docker-compose file to simplify rebuilding of images
- move command from docker-compose.yml to Dockerfile
- add ingestion.sh script to simplify quickstart instruction and to reduce confusion
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
