spark-submit
output on two different clusters (both run spark 1.2) look different: one is "log-style", i.e., a voluminous stream of messages like
15/04/06 14:53:13 INFO TaskSetManager: Starting task 262.0 in stage 4.0 (TID 894, XXXXX, PROCESS_LOCAL, 1785 bytes)
15/04/06 14:53:13 INFO TaskSetManager: Finished task 255.0 in stage 4.0 (TID 892) in 155 ms on XXXXX (288/300)
15/04/06 14:53:13 INFO BlockManagerInfo: Added rdd_16_262 in memory on XXXXX:49388 (size: 14.3 MB, free: 1214.5 MB)
15/04/06 14:53:13 INFO TaskSetManager: Finished task 293.0 in stage 4.0 (TID 893) in 156 ms on XXXXX (289/300)
15/04/06 14:53:13 INFO TaskSetManager: Finished task 262.0 in stage 4.0 (TID 894) in 168 ms on XXXXX (290/300)
15/04/06 14:53:16 INFO TaskSetManager: Starting task 1.0 in stage 4.0 (TID 895, ip-10-0-3-92.ec2.internal, NODE_LOCAL, 1785 bytes)
15/04/06 14:53:16 INFO TaskSetManager: Starting task 74.0 in stage 4.0 (TID 896, XXXXX, NODE_LOCAL, 1785 bytes)
and the other "progress-style", i.e., a growing progress bar at the bottom of the screen (which may be interrupted by errors, if any).
How do I switch between the two styles? (either on a per-job or a per-cluster basis)
I tried passing --conf spark.ui.showConsoleProgress=true
to
spark-submit
with no effect.