Github user rdblue commented on the issue:
https://github.com/apache/spark/pull/16281
I think we should move to a 1.8.2 patch release. The reason is that 1.9.0
moved to ByteBuffer based reads and we've found at least one problem with it.
ByteBuffer based reads also changes an internal API that Spark uses for its
vectorized reader. The changes here (now that I've looked at the actual PR)
wouldn't work because Parquet is going to call the ByteBuffer method rather
than the byte array method. I'm cleaning up the ByteBuffer code quite a bit
right now for better performance with G1GC (see
https://github.com/apache/parquet-mr/pull/390), so I think Spark should move to
ByteBuffer reads after that makes it in.
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at infrastruct...@apache.org or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org
For additional commands, e-mail: reviews-h...@spark.apache.org
