[jira] [Created] (APEXCORE-392) Stack Overflow when launching jobs

["Ilya Ganelin (JIRA)" <ji...@apache.org>]

Ilya Ganelin created APEXCORE-392:
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             Summary: Stack Overflow when launching jobs
                 Key: APEXCORE-392
                 URL: https://issues.apache.org/jira/browse/APEXCORE-392
             Project: Apache Apex Core
          Issue Type: Bug
    Affects Versions: 3.2.0
            Reporter: Ilya Ganelin
            Priority: Blocker


I’m running into a very frustrating issue where certain DAG configurations cause the following error log (attached). When this happens, my application even fails to launch. This does not seem to be a YARN issue since this occurs even with a relatively small number of partitions/memory.

This issue DOES appear to be related to HDFS input/output operations since the specific parameter that appears to affect things is the number of physical partitions for the HDFS input/output operators.

I’ve also attached the input and output operators in question:
https://gist.github.com/ilganeli/7f770374113b40ffa18a

I can get this to occur predictable by

  1.  Increasing the partition count on my input operator (reads from HDFS) - values above 20 cause this error
  2.  Increase the partition count on my output operator (writes to HDFS) - values above 20 cause this error
  3.  Set stream locality from the default to either thread local, node local, or container_local on the output operator

This behavior is very frustrating as it’s preventing me from partitioning my HDFS I/O appropriately, thus allowing me to scale to higher throughputs.

Do you have any thoughts on what’s going wrong? I would love your feedback.



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