Github user tejasapatil commented on the issue:
https://github.com/apache/spark/pull/14498
Is Spark's hashing function semantically equivalent to Hive's ? AFAIK, its
not. I think it would be better to have a mode to be able to use Hive's hash
method. eg. case when this would be needed: Users running a query in Hive want
to switch to Spark. As this happens, you want to verify if the data produced is
same or not. Also, for a brief time the pipeline would run in both the engines.
Upstream consumers of the data generated should not see differences due to
running in the different engines
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