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Posted to issues@spark.apache.org by "Davies Liu (JIRA)" <ji...@apache.org> on 2016/04/25 07:53:13 UTC
[jira] [Resolved] (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:all-tabpanel ]
Davies Liu resolved SPARK-14881.
--------------------------------
Resolution: Fixed
Fix Version/s: 2.0.0
Issue resolved by pull request 12648
[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
> 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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