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Posted to user@spark.apache.org by chutium <te...@gmail.com> on 2014/08/04 18:33:52 UTC

Spark SQL cache table using different storage level

it seems sqlContext.cacheTable() will always cache the target table using
MEMORY_ONLY ? 

MEMORY_ONLY without serialization will blow up the size of RDD, we want to
use MEM_SER or MEM_DISK to cache tables in Spark SQL, is this possible?

Thanks



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