Etti Gur created SPARK-20139: -------------------------------- Summary: Spark UI reports partial success for completed stage while log shows all tasks are finished Key: SPARK-20139 URL: https://issues.apache.org/jira/browse/SPARK-20139 Project: Spark Issue Type: Bug Components: Web UI Affects Versions: 2.1.0 Reporter: Etti Gur
Spark UI reports partial success for completed stage while log shows all tasks are finished - i.e.: We have a stage that is presented under completed stages on spark UI, but the successful tasks are shown like so: (146372/524964) not as you'd expect (524964/524964) Looking at the application master log shows all tasks in that stage are successful: 17/03/29 09:45:49 INFO TaskSetManager: Finished task 522973.0 in stage 0.0 (TID 522973) in 1163910 ms on ip-10-1-15-34.ec2.internal (executor 116) (524963/524964) 17/03/29 09:45:49 INFO TaskSetManager: Finished task 12508.0 in stage 2.0 (TID 537472) in 241250 ms on ip-10-1-15-14.ec2.internal (executor 38) (20234/20262) 17/03/29 09:45:49 INFO TaskSetManager: Finished task 12465.0 in stage 2.0 (TID 537429) in 241994 ms on ip-10-1-15-106.ec2.internal (executor 133) (20235/20262) 17/03/29 09:45:49 INFO TaskSetManager: Finished task 15079.0 in stage 2.0 (TID 540043) in 202889 ms on ip-10-1-15-173.ec2.internal (executor 295) (20236/20262) 17/03/29 09:45:49 INFO TaskSetManager: Finished task 19828.0 in stage 2.0 (TID 544792) in 137845 ms on ip-10-1-15-147.ec2.internal (executor 43) (20237/20262) 17/03/29 09:45:50 INFO TaskSetManager: Finished task 19072.0 in stage 2.0 (TID 544036) in 147363 ms on ip-10-1-15-19.ec2.internal (executor 175) (20238/20262) 17/03/29 09:45:50 INFO TaskSetManager: Finished task 524146.0 in stage 0.0 (TID 524146) in 889950 ms on ip-10-1-15-72.ec2.internal (executor 74) *(524964/524964)* This looks like the stage is indeed completed with all its tasks but UI shows like not all tasks really finished. -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org