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From Maciej Bryński (JIRA) <j...@apache.org>
Subject [jira] [Created] (SPARK-15344) Unable to set default log level for PySpark
Date Mon, 16 May 2016 12:28:12 GMT
Maciej Bryński created SPARK-15344:
--------------------------------------

             Summary: Unable to set default log level for PySpark
                 Key: SPARK-15344
                 URL: https://issues.apache.org/jira/browse/SPARK-15344
             Project: Spark
          Issue Type: Bug
          Components: PySpark
    Affects Versions: 2.0.0
            Reporter: Maciej Bryński
            Priority: Minor


After this patch:
https://github.com/apache/spark/pull/12648
I'm unable to set default log level for Pyspark.
It's always WARN.

Below setting doesn't work: 
{code}
mbrynski@jupyter:~/spark$ cat conf/log4j.properties
# Set everything to be logged to the console
log4j.rootCategory=INFO, console
log4j.appender.console=org.apache.log4j.ConsoleAppender
log4j.appender.console.target=System.err
log4j.appender.console.layout=org.apache.log4j.PatternLayout
log4j.appender.console.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} %p %c{1}: %m%n

# Set the default spark-shell log level to WARN. When running the spark-shell, the
# log level for this class is used to overwrite the root logger's log level, so that
# the user can have different defaults for the shell and regular Spark apps.
log4j.logger.org.apache.spark.repl.Main=INFO

# Settings to quiet third party logs that are too verbose
log4j.logger.org.spark_project.jetty=WARN
log4j.logger.org.spark_project.jetty.util.component.AbstractLifeCycle=ERROR
log4j.logger.org.apache.spark.repl.SparkIMain$exprTyper=INFO
log4j.logger.org.apache.spark.repl.SparkILoop$SparkILoopInterpreter=INFO
log4j.logger.org.apache.parquet=ERROR
log4j.logger.parquet=ERROR

# SPARK-9183: Settings to avoid annoying messages when looking up nonexistent UDFs in SparkSQL
with Hive support
log4j.logger.org.apache.hadoop.hive.metastore.RetryingHMSHandler=FATAL
log4j.logger.org.apache.hadoop.hive.ql.exec.FunctionRegistry=ERROR

{code}



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