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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/04/24 02:12:12 UTC
[jira] [Commented] (SPARK-14881) pyspark and sparkR shell default
log level should match spark-shell/Scala
[ https://issues.apache.org/jira/browse/SPARK-14881?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15255427#comment-15255427 ]
Apache Spark commented on SPARK-14881:
--------------------------------------
User 'felixcheung' has created a pull request for this issue:
https://github.com/apache/spark/pull/12648
> 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
> Priority: Minor
>
> 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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