spark--设置日志级别

修改前：
Windows:

修改后：
Windows:

对比：
Windows:

修改过程：
Windows:
C:\Users\Administrator\Documents\spark\spark-3.5.4-bin-hadoop3>copy conf\log4j2.properties.template conf\log4j2.properties
已复制 1 个文件。

rootLogger.level = info
rootLogger.appenderRef.stdout.ref = console

修改为
rootLogger.level = warn
rootLogger.appenderRef.stdout.ref = console

ps：
1.log4j.rootCategory=WARN, console在log4j2.properties中不存在，分别为rootLogger.level和rootLogger.appenderRef.stdout.ref
2.error级别的启动输出日志如下：

C:\Users\Administrator\Documents\spark\spark-3.5.4-bin-hadoop3\bin>spark-shell
Missing Python executable 'python3', defaulting to 'C:\Users\Administrator\Documents\spark\spark-3.5.4-bin-hadoop3\bin\..' for SPARK_HOME environment variable. Please install Python or specify the correct Python executable in PYSPARK_DRIVER_PYTHON or PYSPARK_PYTHON environment variable to detect SPARK_HOME safely.
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
Spark context Web UI available at http://WIN-5B2ST4S1K5H:4041
Spark context available as 'sc' (master = local[*], app id = local-1738247066941).
Spark session available as 'spark'.
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_\   version 3.5.4
      /_/

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