java - Spark sql with hive table delta support -


as latest version of spark (2.1.0) lists unsupported major functionality of hive like:

tables buckets: bucket hash partitioning within hive table partition. spark sql doesn’t support buckets yet.

it means hive tables have bucketed column structure won't loaded dataframe processed properly. there workaround achieve such functionality via jdbc, temp tables , etc. main question how achieve full control using spark sql on tables materialized deltas ?


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