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https://issues.apache.org/jira/browse/SPARK-27927?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16884675#comment-16884675
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Stavros Kontopoulos edited comment on SPARK-27927 at 7/14/19 1:21 PM:
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That call, among others, creates a SparkContext if it does not exist. The
SparkContext will start the dag scheduler thread which starts this eventLoop
thread. We have the following facts: a) a non-daemon thread is running due to
https://issues.apache.org/jira/browse/SPARK-27812 b) a daemon thread is blocked
which could cause issues
([https://meteatamel.wordpress.com/2012/05/22/when-a-daemon-thread-is-not-so-daemon/])
c) no shutdownhook was run although main has exited, as jvm cannot exit.
I would start with commenting out
[https://github.com/apache/spark/blob/v2.4.0/core/src/main/scala/org/apache/spark/util/EventLoop.scala#L47]
build and re-run the job. Since this is a dummy job with no actions it does
not matter. If jvm still does not exit then the only explanation is that
https://issues.apache.org/jira/browse/SPARK-27812 stops us from that.
was (Author: skonto):
That call, among others, creates a SparkContext if it does not exist. The
SparkContext will start the dag scheduler thread which starts this eventLoop
thread. We have these facts: a) a non-daemon thread is running due to
https://issues.apache.org/jira/browse/SPARK-27812 b) a daemon thread is blocked
which could cause issues
([https://meteatamel.wordpress.com/2012/05/22/when-a-daemon-thread-is-not-so-daemon/])
c) no shutdownhook was run although main has exited, as jvm cannot exit.
I would start with commenting out
[https://github.com/apache/spark/blob/v2.4.0/core/src/main/scala/org/apache/spark/util/EventLoop.scala#L47]
build and re-run the job. Since this is a dummy job with no actions it does
not matter. If jvm still does not exit then the only explanation is that
https://issues.apache.org/jira/browse/SPARK-27812 stops us from that.
> 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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