You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Andrew Or (JIRA)" <ji...@apache.org> on 2015/01/26 00:11:34 UTC

[jira] [Updated] (SPARK-3782) Direct use of log4j in AkkaUtils interferes with certain logging configurations

     [ https://issues.apache.org/jira/browse/SPARK-3782?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Andrew Or updated SPARK-3782:
-----------------------------
    Affects Version/s: 1.1.0

> Direct use of log4j in AkkaUtils interferes with certain logging configurations 
> --------------------------------------------------------------------------------
>
>                 Key: SPARK-3782
>                 URL: https://issues.apache.org/jira/browse/SPARK-3782
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 1.1.0
>            Reporter: Martin Gilday
>
> AkkaUtils is calling setLevel on Logger from log4j. This causes issues when using another implementation of SLF4J such as logback as log4j-over-slf4j.jars implementation of this class does not contain this method on Logger.



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

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