在一个遗留项目中，我发现在www.example.com中log4j.properties，appender文件定义为：

log4j.appender.file.File=log/logging.log

我在哪里可以找到log4j在linux中的输出文件？在系统级别的应用程序中，“LOG.info“命令的日志不显示，只显示其执行的开始

2022-01-13 11:03:19 INFO  DAGScheduler:54 - Submitting 200 missing tasks from ShuffleMapStage 2 (MapPartitionsRDD[12] at count at appname.java:133) (first 15 tasks are for parti.. ```

***编辑：完成log4j属性。：

# 

# Licensed to the Apache Software Foundation (ASF) under one or more

# contributor license agreements.  See the NOTICE file distributed with

# this work for additional information regarding copyright ownership.

# The ASF licenses this file to You under the Apache License, Version 2.0

# (the "License"); you may not use this file except in compliance with

# the License.  You may obtain a copy of the License at

# 

# http://www.apache.org/licenses/LICENSE-2.0

# 

# Unless required by applicable law or agreed to in writing, software

# distributed under the License is distributed on an "AS IS" BASIS,

# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.

# See the License for the specific language governing permissions and

# limitations under the License.

# 

log4j.rootCategory=INFO, console, file

# Set events to be logged to a file

log4j.appender.file=org.apache.log4j.RollingFileAppender
log4j.appender.file.File=log/logging.log
log4j.appender.file.MaxFileSize=10MB
log4j.appender.file.MaxBackupIndex=10
log4j.appender.file.layout=org.apache.log4j.PatternLayout
log4j.appender.file.layout.ConversionPattern=%d{yyyy-MM-dd HH:mm:ss} %-5p %c{1}:%L - %m%n

# Set everything to be logged to the 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$exprTyper=WARN
log4j.logger.org.apache.spark.repl.SparkILoop$SparkILoopInterpreter=WARN

# 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

# Parquet related logging

log4j.logger.org.apache.parquet.CorruptStatistics=ERROR
log4j.logger.parquet.CorruptStatistics=ERROR