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https://issues.apache.org/jira/browse/SPARK-14881?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Felix Cheung updated SPARK-14881:
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Summary: pyspark and sparkR shell default log level should match
spark-shell/Scala (was: PySpark and sparkR shell default log level should
match spark-shell/Scala)
> 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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