Hive on Spark in Mapr Distribution
No, MapR (5.2) doesn't support that. From their docs,
MapR does not support Hive on Spark. Therefore, you cannot use Spark as an execution engine for Hive. However, you can run Hive and Spark on the same cluster. You can also use Spark SQL and Drill to query Hive tables.
Cheers.
I know and understand that your question is about using Spark as data processing engine for Hive; and as you can see in the various answer it is today not officially supported by MapR.
However, if you goal is to make Hive faster, and do not use MapReduce you can switch to Tez, for this install the MEP 3.0.