[jira] [Commented] (SPARK-22959) Configuration to select the modules for daemon and worker in PySpark

["Apache Spark (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-22959?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16311300#comment-16311300 ] 

Apache Spark commented on SPARK-22959:
--------------------------------------

User 'HyukjinKwon' has created a pull request for this issue:
https://github.com/apache/spark/pull/20151

> Configuration to select the modules for daemon and worker in PySpark
> --------------------------------------------------------------------
>
>                 Key: SPARK-22959
>                 URL: https://issues.apache.org/jira/browse/SPARK-22959
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark
>    Affects Versions: 2.3.0
>            Reporter: Hyukjin Kwon
>
> We are now forced to use {{pyspark/daemon.py}} and {{pyspark/worker.py}} in PySpark tests.
> This doesn't allow a custom modification for it and it's sometimes hard to debug what happens in Python worker processes.
> This is actually related with SPARK-7721 too as somehow Coverage is unable to detect the coverage from {{os.fork}}. If we have some custom fixes to force the coverage, it works fine.
> This is also related with SPARK-20368. This JIRA describes Sentry supports which (roughly) needs some changes within worker side.  With this simple workaround, advanced users will be able to do a lot of pluggable workarounds.
> As an example, let's say if I configure the module {{coverage_daemon}} and had {{coverage_daemon.py}} in the python path:
> {code}
> import os
> from pyspark import daemon
> if "COVERAGE_PROCESS_START" in os.environ:
>     from pyspark.worker import main
>     def _cov_wrapped(*args, **kwargs):
>         import coverage
>         cov = coverage.coverage(
>             config_file=os.environ["COVERAGE_PROCESS_START"])
>         cov.start()
>         try:
>             main(*args, **kwargs)
>         finally:
>             cov.stop()
>             cov.save()
>     daemon.worker_main = _cov_wrapped
> if __name__ == '__main__':
>     daemon.manager()
> {code}
> I can leave the main code intact but do some workarounds.



--
This message was sent by Atlassian JIRA
(v6.4.14#64029)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org