I'm wondering if there is a real benefit for splitting my memory in two for the datanode/workers.
Datanodes and OS needs memory to perform their business. I suppose there could be loss of performance if they came to compete for memory with the worker(s). Any opinion? :-) -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Should-I-keep-memory-dedicated-for-HDFS-and-Spark-on-cluster-nodes-tp23451.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
