lazarillo opened a new issue, #32781: URL: https://github.com/apache/beam/issues/32781
### What would you like to happen? To my knowledge, there is no way to write protocol buffers to BigQuery using the Python SDK. I am currently writing them by converting them to a `dict` (or to JSON if that were better, but using `dict` for now) and then writing the dict to BigQuery. But the point of protocol buffers is that they reduce the data that we're sending over the wire by typically around 80%. So, converting back to a `dict` or JSON right before sending the data over the wire is counter-productive. Is this feature already on the roadmap? Could it be placed on the roadmap? Is this a feature that I could help implement, or would it be far too complex with under-the-hood elements? ### Issue Priority Priority: 2 (default / most feature requests should be filed as P2) ### Issue Components - [X] Component: Python SDK - [ ] Component: Java SDK - [ ] Component: Go SDK - [ ] Component: Typescript SDK - [X] Component: IO connector - [ ] Component: Beam YAML - [ ] Component: Beam examples - [ ] Component: Beam playground - [ ] Component: Beam katas - [ ] Component: Website - [ ] Component: Infrastructure - [ ] Component: Spark Runner - [ ] Component: Flink Runner - [ ] Component: Samza Runner - [ ] Component: Twister2 Runner - [ ] Component: Hazelcast Jet Runner - [X] Component: Google Cloud Dataflow Runner -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
