You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/11/19 05:24:00 UTC

[jira] [Commented] (SPARK-22554) Add a config to control if PySpark should use daemon or not

    [ https://issues.apache.org/jira/browse/SPARK-22554?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16258335#comment-16258335 ] 

Apache Spark commented on SPARK-22554:
--------------------------------------

User 'HyukjinKwon' has created a pull request for this issue:
https://github.com/apache/spark/pull/19782

> Add a config to control if PySpark should use daemon or not
> -----------------------------------------------------------
>
>                 Key: SPARK-22554
>                 URL: https://issues.apache.org/jira/browse/SPARK-22554
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark
>    Affects Versions: 2.3.0
>            Reporter: Hyukjin Kwon
>            Priority: Trivial
>
> Actually, SparkR already has a flag for {{useDaemon}}:
> https://github.com/apache/spark/blob/478fbc866fbfdb4439788583281863ecea14e8af/core/src/main/scala/org/apache/spark/api/r/RRunner.scala#L362
> It'd be great if we have this flag too. It makes easier to test Windows specific issue.
> Also, this is also partly for running Python coverage without extra code change. I know a hacky way to run this:
> https://github.com/apache/spark/pull/19630#issuecomment-345490662



--
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