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 -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Spark-SQL-cache-table-using-different-storage-level-tp11338.html Sent from the Apache Spark User List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
