log4j.properties

# Set everything to be logged to the console
log4j.rootCategory=WARN, 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=WARN

#Application log
log4j.logger.ashish.learning.pyspark.projects=INFO,console,file
log4j.additivity.ashish.learning.pyspark.projects=false

# Define rolling file appender

log4j.appender.file=org.apache.log4j.RollingFileAppender
log4j.appender.file.File=${spark.yarn.app.container.log.dir}/${logfile.name}.log
#log4j.appender.file.File=/var/log/spark/spark.log
log4j.appender.file.ImmediateFlush=true
log4j.appender.file.Append=false
log4j.appender.file.MaxFileSize=500MB
log4j.appender.file.MaxBackupIndex=2
log4j.appender.file.layout=org.apache.log4j.PatternLayout
log4j.appender.file.layout.ConversionPattern=%d{yy/MM/dd HH:mm:ss} %p %c{1}: %m%n

# 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

# 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

# Parquet related logging
log4j.logger.org.apache.parquet.CorruptStatistics=ERROR
log4j.logger.parquet.CorruptStatistics=ERROR