Re: How to enforce RDD to be cached?

returns the first element of the RDD, rather than iterating. -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/How-to-enforce-RDD-to-be-cached-tp20230p20284.html Sent from the Apache Spark User List mailing list arc

Re: How to enforce RDD to be cached?

Daniel and Paolo, thanks for the comments. best, /Shahab On Wed, Dec 3, 2014 at 3:12 PM, Paolo Platter wrote: > Yes, > > otherwise you can try: > > rdd.cache().count() > > and then run your benchmark > > Paolo > > *Da:* Daniel Darabos > *Data invio:* ‎mercoledì‎ ‎3‎ ‎dicembre‎ ‎2014 ‎12

Re: How to enforce RDD to be cached?

Yes, otherwise you can try: rdd.cache().count() and then run your benchmark Paolo Da: Daniel Darabos Data invio: ?mercoled?? ?3? ?dicembre? ?2014 ?12?:?28 A: shahab Cc: user@spark.apache.org

Re: How to enforce RDD to be cached?

On Wed, Dec 3, 2014 at 10:52 AM, shahab wrote: > Hi, > > I noticed that rdd.cache() is not happening immediately rather due to lazy > feature of Spark, it is happening just at the moment you perform some > map/reduce actions. Is this true? > Yes, this is correct. If this is the case, how can I

How to enforce RDD to be cached?

Hi, I noticed that rdd.cache() is not happening immediately rather due to lazy feature of Spark, it is happening just at the moment you perform some map/reduce actions. Is this true? If this is the case, how can I enforce Spark to cache immediately at its cache() statement? I need this to perfor