Hello everyone: I'm running an experiment in a Spark cluster where some of the machines are highly loaded with CPU, memory and network consuming process ( let's call them straggler machines ).
Obviously the tasks of these machines take longer to execute than in other nodes of the cluster. However I've noticed that the tasks that fetch shuffle data from these "straggler machines" are also delayed with long Read Shuffle Data phases. Is there anyway of knowing from which machines a task is reading its shuffle data?. Something like node1 is reading its shuffle data from [node2,node3 and node4]? Thanks in advance -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Reading-Shuffle-Data-from-highly-loaded-nodes-tp26901.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
