Github user viirya commented on the issue:
https://github.com/apache/spark/pull/15726
@snodawn OK. I got the reason why dynamic partition is still much slower
than Hive 2.0.
There is another patch to optimize dynamic partition,
https://github.com/apache/hive/commit/d297b51087da908c81aa7a04263a00b3420c4d70.
Basically it optimizes the sequential dynamic partition insertion as many
asynchronous tasks with an executor pool.
We can also do it in `InsertIntoHiveTable` for dynamic partition. Don't
know if it is worth? @ericl @rxin What do you think?
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