I do not know how it works for most of the world. But in cloudera where the
TEZ options were never popular hive-on-spark represents a solid way to get
things done for small datasets lower latency.
As for the spark adoption. You know a while ago I came up with some ways to
make hive more spark lik
Stamatis Zampetakis created HIVE-24835:
--
Summary: Replace HiveSubQueryFinder with RexUtil::SubQueryFinder
Key: HIVE-24835
URL: https://issues.apache.org/jira/browse/HIVE-24835
Project: Hive
It will be amazing if the community could produce a release every
quarter/6months. :-)
Le ven. 26 févr. 2021 à 14:30, Edward Capriolo a
écrit :
> Hive was releasable trunk for the longest time. Facebook days. Then the
> big data vendors got more involved. Then it became a pissing match about
> f
Hive was releasable trunk for the longest time. Facebook days. Then the big
data vendors got more involved. Then it became a pissing match about
features. This vendor likes tez this vendor dont, this vendor likes hive on
spark this one dont.
Then this vendor wants to tell everyone hive stinks use
