You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@druid.apache.org by GitBox <gi...@apache.org> on 2021/05/05 04:31:00 UTC

[GitHub] [druid] JulianJaffePinterest commented on issue #9780: Support directly reading and writing Druid data from Spark

JulianJaffePinterest commented on issue #9780:
URL: https://github.com/apache/druid/issues/9780#issuecomment-832403878


   Hey Vivek, thanks for your comment. I’m happy to hear of your experiences working with Spark and Druid! The PR for this issue (#10920) is currently in review. Once it’s merged, it won’t matter what my plans are, it will matter what the community wants 😄. I don’t have much experience with pySpark directly, but I would definitely welcome a Python wrapper if one is necessary! (From looking at yours, it seems that the wrapper is just for conveniently handling repartitioning, not just to allow interoperation, right?)


-- 
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.

For queries about this service, please contact Infrastructure at:
users@infra.apache.org



---------------------------------------------------------------------
To unsubscribe, e-mail: commits-unsubscribe@druid.apache.org
For additional commands, e-mail: commits-help@druid.apache.org