[jira] [Commented] (SPARK-2654) Leveled logging in PySpark

["Jeff Zhang (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-2654?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14964586#comment-14964586 ] 

Jeff Zhang commented on SPARK-2654:
-----------------------------------

[~davies] I think currently spark-core also don't have logging level control through command line argument except through log4j.properties. Although implementation for controlling logging level in spark-core and pyspark will be different, but the configuration should be same. 

Here's my initial thinking about it:
* use "spark.driver.log.level" to control log level of driver and "spark.executor.log.level" to control log level of "executor". 
* "spark.driver.log.level" and "spark.executor.log.level" can be set in 2 ways
** Simple Configuration: just log level like INFO/DEBUG/ERROR/...
** Advanced Configuration: Simple Configuration followed by package level configuration, like "DEBUG;org.apache.spark.sql=INFO;org.apache.spark.shuffle=INFO"

I am not sure whether there's existing jira of logging level control for spark-core, if you know that, please help link them together. I'd like to help contribute this. Thanks



> Leveled logging in PySpark
> --------------------------
>
>                 Key: SPARK-2654
>                 URL: https://issues.apache.org/jira/browse/SPARK-2654
>             Project: Spark
>          Issue Type: Improvement
>          Components: PySpark
>            Reporter: Davies Liu
>
> Add more leveled logging in PySpark, the logging level should be easy controlled by configuration and command line arguments.



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