Hi, I am following the spark streaming stateful application example to write
a stateful application
and here is the critical line of code.
val keyStateStream = actRegBatchCountStream.updateStateByKey(update, new
HashPartitioner(ssc.sparkContext.defaultParallelism), true, initKeyStateRDD)
I noticed from log that spark by default is using sort partition for
shuffle. So my questions
are
1) So if I use HashPartitioner here, how the sort and hash co-exist/co-work
to the shuffle related to updateStateByKey?
2) Is there an successful example of using other Partitioner in
updateStateByKey?
Thanks.
Tian
--
View this message in context:
http://apache-spark-user-list.1001560.n3.nabble.com/updateStateByKey-and-Partitioner-tp24999.html
Sent from the Apache Spark User List mailing list archive at Nabble.com.
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
