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Posted to issues@spark.apache.org by "Maheedhar Reddy Chappidi (JIRA)" <ji...@apache.org> on 2017/01/15 15:09:26 UTC

[jira] [Created] (SPARK-19226) Report failure reason from Reporter Thread

Maheedhar Reddy Chappidi created SPARK-19226:
------------------------------------------------

             Summary: Report failure reason from Reporter Thread 
                 Key: SPARK-19226
                 URL: https://issues.apache.org/jira/browse/SPARK-19226
             Project: Spark
          Issue Type: Improvement
          Components: YARN
    Affects Versions: 2.0.2
         Environment: emr-5.2.1 with Zeppelin 0.6.2/Spark2.0.2 and 10 r3.xl core nodes
            Reporter: Maheedhar Reddy Chappidi
            Priority: Minor


With the exponential[1] increase in executor count the Reporter thread [2] fails without proper message.

==
17/01/12 09:33:44 INFO YarnAllocator: Driver requested a total number of 32767 executor(s).
17/01/12 09:33:44 INFO YarnAllocator: Will request 24576 executor containers, each with 2 cores and 5632 MB memory including 512 MB overhead
17/01/12 09:33:44 INFO YarnAllocator: Canceled 0 container requests (locality no longer needed)
17/01/12 09:33:52 INFO YarnAllocator: Driver requested a total number of 34419 executor(s).
17/01/12 09:33:52 INFO ApplicationMaster: Final app status: FAILED, exitCode: 12, (reason: Exception was thrown 1 time(s) from Reporter thread.)
17/01/12 09:33:52 INFO YarnAllocator: Driver requested a total number of 34410 executor(s).
17/01/12 09:33:52 INFO YarnAllocator: Driver requested a total number of 34409 executor(s).
17/01/12 09:33:52 INFO ShutdownHookManager: Shutdown hook called
==

We were able to run the workflows by setting/limiting the maxExecutor count (spark.dynamicAllocation.maxExecutors) to avoid more requests(35k->65k).
Added I don't see any issues with ApplicationMaster's container memory/compute.

[1]  https://github.com/apache/spark/blob/6ee28423ad1b2e6089b82af64a31d77d3552bb38/core/src/main/scala/org/apache/spark/ExecutorAllocationManager.scala
[2] https://github.com/apache/spark/blob/01e14bf303e61a5726f3b1418357a50c1bf8b16f/resource-managers/yarn/src/main/scala/org/apache/spark/deploy/yarn/ApplicationMaster.scala#L446-L480



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