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From Maciej Bryński (JIRA) <j...@apache.org>
Subject [jira] [Commented] (SPARK-14881) pyspark and sparkR shell default log level should match spark-shell/Scala
Date Mon, 16 May 2016 12:55:12 GMT

    [ https://issues.apache.org/jira/browse/SPARK-14881?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15284454#comment-15284454
] 

Maciej Bryński commented on SPARK-14881:
----------------------------------------

[~felixcheung]
Could you check this ?
https://issues.apache.org/jira/browse/SPARK-15344

> pyspark and sparkR shell default log level should match spark-shell/Scala
> -------------------------------------------------------------------------
>
>                 Key: SPARK-14881
>                 URL: https://issues.apache.org/jira/browse/SPARK-14881
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark, Spark Shell, SparkR
>    Affects Versions: 2.0.0
>            Reporter: Felix Cheung
>            Assignee: Felix Cheung
>            Priority: Minor
>             Fix For: 2.0.0
>
>
> Scala spark-shell defaults to log level WARN. pyspark and sparkR should match that by
default (user can change it later)
> # ./bin/spark-shell
> Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
> Setting default log level to "WARN".
> To adjust logging level use sc.setLogLevel(newLevel).



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