spark-submit 模式 yarn-cluster 部署，日志如何配置？

失踪人口回归，想问下spark job在yarn-cluster模式部署,已经配置一个log4j.properties文件，并且在提交时--files log4j.properties了，但是用yarn logs -applictionId xxxxx上还是看到好多的我不想看到的日志，我代码打印的日志只有几行而已，请问如何配置？
(每个job单独的日志。集群目前不能改conf下的文件。)

spark.root.logger=WARN, console
log4j.rootLogger=${spark.root.logger}
# 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

# 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