[jira] [Commented] (SPARK-27927) driver pod hangs with pyspark 2.4.3 and master on kubenetes

["Stavros Kontopoulos (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-27927?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16883729#comment-16883729 ] 

Stavros Kontopoulos commented on SPARK-27927:
---------------------------------------------

Could this be related to this: https://issues.apache.org/jira/browse/SPARK-27812 Can you print what threads are running?

> 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
>
> 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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