I'm running Spark 1.0.1 with SPARK_MEMORY=60g, so 4 executors at that size would indeed run out of memory (the machine has 110GB). And in fact they would get repeatedly restarted and killed until eventually Spark gave up.
I'll try with a smaller limit, but it'll be a while - somehow my HDFS got seriously corrupted so I need to rebuild my HDP cluster... Thanks, Ravi -- View this message in context: http://apache-spark-user-list.1001560.n3.nabble.com/Lost-executors-tp11722p12050.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
