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 2021/08/23 06:56:00 UTC

[jira] [Commented] (SPARK-36560) Deflake PySpark coverage report

    [ https://issues.apache.org/jira/browse/SPARK-36560?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17402986#comment-17402986 ] 

Apache Spark commented on SPARK-36560:
--------------------------------------

User 'HyukjinKwon' has created a pull request for this issue:
https://github.com/apache/spark/pull/33808

> Deflake PySpark coverage report
> -------------------------------
>
>                 Key: SPARK-36560
>                 URL: https://issues.apache.org/jira/browse/SPARK-36560
>             Project: Spark
>          Issue Type: Improvement
>          Components: Project Infra, PySpark
>    Affects Versions: 3.2.0
>            Reporter: Hyukjin Kwon
>            Priority: Minor
>
> https://github.com/apache/spark/runs/3388727798?check_suite_focus=true
> https://github.com/apache/spark/runs/3392972609?check_suite_focus=true
> https://github.com/apache/spark/runs/3359880048?check_suite_focus=true
> https://github.com/apache/spark/runs/3338876122?check_suite_focus=true
> PySpark scheduled coverage jobs are flaky. We should deflake them



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

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