Github user squito commented on the issue:
https://github.com/apache/spark/pull/16781
pinging some potential reviewers:
@liancheng @yhuai for prior work in hive compatibility
@ueshin for work on timezone support
Note that the timezone support from SPARK-18350 is to some extent at odds
with this. Its not a total conflict, because that is addressing how spark
stores data in its own json & csv format (among others). But this is about
making sure that *hive* tables are consistent between different formats. I am
somewhat puzzled by those changes, as they seem to be changing the meaning of
the "TIMESTAMP" datatype to be more like "TIMESTAMP WITH TIMEZONE" in other sql
engines, but I'll also admit I'm out of my expertise here.
This is not the area of code I am most familiar with, happy to get
feedback. One thing in particular I haven't addressed is predicate pushdown --
in particular, I'm not sure how to *test* predicate pushdown. I can poke at
that some more, but I'd appreciate any guidance.
---
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
