Im running a job that uses groupByKey(), so it generates a lot of shuffle data. Then it processes this and writes files to HDFS in a forEachPartition block. Looking at the forEachPartition stage details in the web console, all but one executor is idle (SUCCESS in 50-60ms), and one is RUNNING with a huge shuffle read and takes a long time to finish.
Can someone explain why the read is all on one node and how to parallelize this better? -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Imbalanced-shuffle-read-tp18648.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
