Hi All,
I am running spark in cluster mode and reading data from RDBMS via JDBC. As per spark docs<http://spark.apache.org/docs/latest/sql-programming-guide.html#jdbc-to-other-databases>, these partitioning parameters describe how to partition the table when reading in parallel from multiple workers: partitionColumn, lowerBound, upperBound, numPartitions These are optional parameters. What would happen if I don't specify these: * Only 1 worker read the whole data? * If it still reads parallelly, how does it partition data? Regards, Devender ________________________________ NOTE: This message may contain information that is confidential, proprietary, privileged or otherwise protected by law. The message is intended solely for the named addressee. If received in error, please destroy and notify the sender. Any use of this email is prohibited when received in error. Impetus does not represent, warrant and/or guarantee, that the integrity of this communication has been maintained nor that the communication is free of errors, virus, interception or interference.
