apache
[yaml]: Normalize BigtableIO
What would you like to happen?
This bug is part of the Beam YAML milestone. More information about Beam YAML can be found here: https://github.com/apache/beam/tree/master/sdks/python/apache_beam/yaml#beam-yaml-api
A Beam YAML contribution guide can be found here: https://s.apache.org/beam-yaml-contribute
This IO is one of the many Beam IO’s that need to be normalized to be compatible with Beam YAML. Normalization here means that the IO should be consistent across Python and Java SDK in a way that can be exposed to the Beam YAML framework.
For Java, this means taking advantage of the Cross Language framework which allows transforms to be exposed to all the SDK’s through the use of the External Transform service.
For Python, this means ensuring that any existing Python implementations have the same functionality and expose the same parameters as their Java counterparts.
After normalization, an IO transform written in Java and Python can be interchanged freely without compromising any functionality within the rest of the pipeline.
A guide on how to normalize the IO’s can be found here: https://docs.google.com/document/d/1oXqMxE4Gl4Uj3dBuVx1qgbVRxrVWuPFDYW0QRRLxQyE/edit
Issue Priority
Priority: 2 (default / most feature requests should be filed as P2)
Issue Components
- [X] Component: Python SDK
- [X] Component: Java SDK
- [ ] Component: Go SDK
- [ ] Component: Typescript SDK
- [X] Component: IO connector
- [ ] Component: Beam examples
- [ ] Component: Beam playground
- [ ] Component: Beam katas
- [ ] Component: Website
- [ ] Component: Spark Runner
- [ ] Component: Flink Runner
- [ ] Component: Samza Runner
- [ ] Component: Twister2 Runner
- [ ] Component: Hazelcast Jet Runner
- [ ] Component: Google Cloud Dataflow Runner
Hey @Polber , are you actively working on this issue at the moment? I may have some time in the next couple of weeks, so I could try to work on it unless you have already started.
