Actually, a replicated RDD and a parallel job on the same RDD, this two conception is not related at all. A replicated RDD just store data on multiple node, it helps with HA and provide better chance for data locality. It is still one RDD, not two separate RDD. While regarding run two jobs on the same RDD, it doesn't matter that the RDD is replicated or not. You can always do it if you wish to.
Best Regards, Raymond Liu -----Original Message----- From: Kartheek.R [mailto:kartheek.m...@gmail.com] Sent: Thursday, September 04, 2014 1:24 PM To: u...@spark.incubator.apache.org Subject: RE: RDDs Thank you Raymond and Tobias. Yeah, I am very clear about what I was asking. I was talking about "replicated" rdd only. Now that I've got my understanding about job and application validated, I wanted to know if we can replicate an rdd and run two jobs (that need same rdd) of an application in parallel?. -Karthk -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/RDDs-tp13343p13416.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 --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
