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https://issues.apache.org/jira/browse/SPARK-24334?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16483991#comment-16483991
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Mateusz Pieniak commented on SPARK-24334:
-----------------------------------------
I came across with this issue while running my custom apply function on larger
dataset. I got the exception:
{code:java}
SparkException: Job aborted due to stage failure: Task 0 in stage 43.0 failed 4
times, most recent failure: Lost task 0.3 in stage 43.0 (TID 3108,
10.217.183.141, executor 3):
org.apache.spark.util.TaskCompletionListenerException: Memory was leaked by
query. Memory leaked: (482816) Allocator(stdout writer for
/databricks/python/bin/python) 0/482816/482816/9223372036854775807
(res/actual/peak/limit) at
org.apache.spark.TaskContextImpl.invokeListeners(TaskContextImpl.scala:153) at
org.apache.spark.TaskContextImpl.markTaskCompleted(TaskContextImpl.scala:131)
at org.apache.spark.scheduler.Task.run(Task.scala:127) at
org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:350) at
java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at
java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
at java.lang.Thread.run(Thread.java:748){code}
> Race condition in ArrowPythonRunner causes unclean shutdown of Arrow memory
> allocator
> -------------------------------------------------------------------------------------
>
> Key: SPARK-24334
> URL: https://issues.apache.org/jira/browse/SPARK-24334
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark
> Affects Versions: 2.3.0
> Reporter: Li Jin
> Priority: Major
>
> Currently, ArrowPythonRunner has two thread that frees the Arrow vector
> schema root and allocator - The main writer thread and task completion
> listener thread.
> Having both thread doing the clean up leads to weird case (e.g., negative ref
> cnt, NPE, and memory leak exception) when an exceptions are thrown from the
> user function.
>
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