1. 环境：maven 3.6.3、spark-core_2.12-3.2.1、Java1.8
2. 问题描述
2.1 设置了log4j.properties，目的是将只将运行结果和ERROR的信息打印在控制台，但不起作用
2.2 log4j.properties
log4j.rootCategory=ERROR, 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 ERROR. 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=ERROR
# Settings to quiet third party logs that are too verbose
log4j.logger.org.spark_project.jetty=ERROR
log4j.logger.org.spark_project.jetty.util.component.AbstractLifeCycle=ERROR
log4j.logger.org.apache.spark.repl.SparkIMain$exprTyper=ERROR
log4j.logger.org.apache.spark.repl.SparkILoop$SparkILoopInterpreter=ERROR
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
2.3 如图
3. 解决过程
3.1 通过网上的搜索，发现是java1.8的azkaban.2.5.0.jar包中已经有log4j.properties，覆盖了我自己创建的log4j.properties，这里将azkaban.2.5.0.jar包进行删除（希望大佬能够给我提供另一种解决方法，感谢）
3.1 修改前的运行结果
3.2 修改后的运行结果
