nsivabalan commented on issue #5540:
URL: https://github.com/apache/hudi/issues/5540#issuecomment-1229360692
```
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
# 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
# Example
log4j.logger.org.apache.hudi=DEBUG
```
sample log4j file.
```
--conf
spark.driver.extraJavaOptions="-Dlog4j.configuration=file:/home/hadoop/log4j.properties"
--conf
spark.executor.extraJavaOptions="-Dlog4j.configuration=file:/home/hadoop/log4j.properties"
```
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