Github user tejasapatil commented on the issue:
https://github.com/apache/spark/pull/10498
@infinitymittal : It will take time to have a fully functional support
added. I had initiated a design proposal to get consensus on this could be done
: https://issues.apache.org/jira/browse/SPARK-19256
In Spark, "hive.enforce.bucketing" is not respected. #15300 won't guarantee
that the data written adheres to Hive's bucketing spec so approach taken there
is to fail in user sets configs to enforce bucketing. This will avoid wrong
data being written when user is expecting correct outputs after setting
"hive.enforce.bucketing" to true. The longer term plan is to get rid of these
configs and always write properly bucketed data (hive 2.x follows this model).
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