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https://issues.apache.org/jira/browse/SPARK-19226?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Maheedhar Reddy Chappidi updated SPARK-19226:
---------------------------------------------
Description:
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.
Is it possible to parse more ErrorReason from if/else?
[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
was:
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
> 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.
> Is it possible to parse more ErrorReason from if/else?
> [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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