You can also read about locality here in the docs: http://spark.apache.org/docs/latest/tuning.html#data-locality
On Tue, Jan 6, 2015 at 8:37 AM, Cody Koeninger <c...@koeninger.org> wrote: > No, not all rdds have location information, and in any case tasks may be > scheduled on non-local nodes if there is idle capacity. > > see spark.locality.wait > > http://spark.apache.org/docs/latest/configuration.html > > > > On Tue, Jan 6, 2015 at 10:17 AM, gtinside <gtins...@gmail.com> wrote: > >> Does spark guarantee to push the processing to the data ? Before creating >> tasks does spark always check for data location ? So for example if I >> have 3 >> spark nodes (Node1, Node2, Node3) and data is local to just 2 nodes (Node1 >> and Node2) , will spark always schedule tasks on the node for which the >> data >> is local ie Node1 and Node 2(assuming Node1 and Node2 have enough >> resources >> to execute the tasks)? >> >> Gaurav >> >> >> >> -- >> View this message in context: >> http://apache-spark-user-list.1001560.n3.nabble.com/Data-Locality-tp21000.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 >> >> >
