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https://issues.apache.org/jira/browse/SPARK-27927?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16884250#comment-16884250
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Stavros Kontopoulos commented on SPARK-27927:
---------------------------------------------

It is on 2.4.0:

[https://github.com/apache/spark/blob/v2.4.0/core/src/main/scala/org/apache/spark/util/EventLoop.scala#L47]

Not sure if it is the k8s client in this case because if you check my thread 
dump [https://gist.github.com/skonto/74181e434a727901d4f3323461c1050b]  in 
[https://github.com/apache/spark/pull/24796] these k8s threads still exist but 
they were not the root cause in the case with the exception. In any case we 
need to spot the root cause. So my question is why that thread is blocked there.

> driver pod hangs with pyspark 2.4.3 and master on kubenetes
> -----------------------------------------------------------
>
>                 Key: SPARK-27927
>                 URL: https://issues.apache.org/jira/browse/SPARK-27927
>             Project: Spark
>          Issue Type: Bug
>          Components: Kubernetes, PySpark
>    Affects Versions: 3.0.0, 2.4.3
>         Environment: k8s 1.11.9
> spark 2.4.3 and master branch.
>            Reporter: Edwin Biemond
>            Priority: Major
>         Attachments: driver_threads.log, executor_threads.log
>
>
> When we run a simple pyspark on spark 2.4.3 or 3.0.0 the driver pods hangs 
> and never calls the shutdown hook. 
> {code:java}
> #!/usr/bin/env python
> from __future__ import print_function
> import os
> import os.path
> import sys
> # Are we really in Spark?
> from pyspark.sql import SparkSession
> spark = SparkSession.builder.appName('hello_world').getOrCreate()
> print('Our Spark version is {}'.format(spark.version))
> print('Spark context information: {} parallelism={} python version={}'.format(
> str(spark.sparkContext),
> spark.sparkContext.defaultParallelism,
> spark.sparkContext.pythonVer
> ))
> {code}
> When we run this on kubernetes the driver and executer are just hanging. We 
> see the output of this python script. 
> {noformat}
> bash-4.2# cat stdout.log
> Our Spark version is 2.4.3
> Spark context information: <SparkContext 
> master=k8s://https://kubernetes.default.svc:443 appName=hello_world> 
> parallelism=2 python version=3.6{noformat}
> What works
>  * a simple python with a print works fine on 2.4.3 and 3.0.0
>  * same setup on 2.4.0
>  * 2.4.3 spark-submit with the above pyspark
>  
>  
>  



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