++ If you can afford loosing few old logs, then you can make use of rolling file Appender as well.
log4j.rootLogger=INFO, rolling log4j.appender.rolling=org.apache.log4j.RollingFileAppender log4j.appender.rolling.layout=org.apache.log4j.PatternLayout log4j.appender.rolling.maxFileSize=50MB log4j.appender.rolling.maxBackupIndex=5 log4j.appender.rolling.file=/var/log/spark/<logfilename> log4j.logger.org.apache.spark=<LogLevel> This means log4j will roll the log file by 50MB and keep only 5 recent files. These files are saved in /var/log/spark directory, with filename mentioned. Regards, Abhishek Jain From: Jain, Abhishek 3. (Nokia - IN/Bangalore) Sent: Thursday, February 14, 2019 5:58 PM To: Deepak Sharma <deepakmc...@gmail.com> Cc: spark users <user@spark.apache.org> Subject: RE: Spark streaming filling the disk with logs Hi Deepak, The spark logging can be set for different purposes. Say for example if you want to control the spark-submit log, “log4j.logger.org.apache.spark.repl.Main=WARN/INFO/ERROR” can be set. Similarly, to control third party logs: log4j.logger.org.spark_project.jetty=<LEVEL>, log4j.logger.org.apache.parquet=<LEVEL> etc.. These properties can be set in the conf/log4j .properties file. Hope this helps! 😊 Regards, Abhishek Jain From: Deepak Sharma <deepakmc...@gmail.com<mailto:deepakmc...@gmail.com>> Sent: Thursday, February 14, 2019 12:10 PM To: spark users <user@spark.apache.org<mailto:user@spark.apache.org>> Subject: Spark streaming filling the disk with logs Hi All I am running a spark streaming job with below configuration : --conf "spark.executor.extraJavaOptions=-Droot.logger=WARN,console" But it’s still filling the disk with info logs. If the logging level is set to WARN at cluster level , then only the WARN logs are getting written but then it affects all the jobs . Is there any way to get rid of INFO level of logging at spark streaming job level ? Thanks Deepak -- Thanks Deepak www.bigdatabig.com<http://www.bigdatabig.com> www.keosha.net<http://www.keosha.net>
