typelevel / typelevel/frameless
4+ AgnosticEncoder support & Spark Connect
Open
Nobody has claimed this yet.
enhancement
feature
- Dominant language
- Scala
- Stars
- 895
- Forks
- 135
- Avg merge
- 1d 16h
- Merged PRs (30d)
- 3
Description
Spark Connect adds another interaction approach, splitting driver and executor. Prior to Spark 4 the interfaces were separated, with the introduction of a base class this is now possible.
Pro's:
- works on Spark 4
- opens up the possibility of connect usage
Con's:
- possible performance hit as TransformingEncoders are required so wholestage codegen is no longer possible (unknown and probably not relevant)
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No files, tests, or entry points are named. Start by reviewing the Spark 4 AgnosticEncoder and Spark Connect interface changes, then determine how Frameless should support both while assessing the TransformingEncoders performance tradeoff; done means Spark 4 support and a viable path toward Spark Connect usage.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- scala, spark
- Domain
- data, distributed-systems
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100