详解log4j2(下) - Async/MongoDB/Flume Appender 按日志级别区分文件输出

1. 按日志级别区分文件输出

有些人习惯按日志信息级别输出到不同名称的文件中，如info.log，error.log，warn.log等，在log4j2中可通过配置Filters来实现。

假定需求是把INFO及以下级别的信息输出到info.log，WARN和ERROR级别的信息输出到error.log，FATAL级别输出到fatal.log，配置文件如下：

 "WARN" monitorInterval="300">

         "LOG_HOME">D:/logs


         "Console" target="SYSTEM_OUT">
             "%d{HH:mm:ss.SSS} [%t] %-5level %logger{36} - %msg%n" />


         "InfoFile"
             fileName="${LOG_HOME}/info.log"
             filePattern="${LOG_HOME}/$${date:yyyy-MM}/info-%d{yyyy-MM-dd}-%i.log">

                 "warn" onMatch="DENY" onMismatch="NEUTRAL" />
                 "trace" onMatch="ACCEPT" onMismatch="DENY" />

             "%date{yyyy-MM-dd HH:mm:ss.SSS} %level [%thread][%file:%line] - %msg%n" />


                 "10 MB" />

             "20" />


         "ErrorFile"
             fileName="${LOG_HOME}/error.log"
             filePattern="${LOG_HOME}/$${date:yyyy-MM}/error-%d{yyyy-MM-dd}-%i.log">

                 "fatal" onMatch="DENY" onMismatch="NEUTRAL" />
                 "warn" onMatch="ACCEPT" onMismatch="DENY" />

             "%date{yyyy-MM-dd HH:mm:ss.SSS} %level [%thread][%file:%line] - %msg%n" />


                 "10 MB" />

             "20" />


         "FatalFile"
             fileName="${LOG_HOME}/fatal.log"
             filePattern="${LOG_HOME}/$${date:yyyy-MM}/fatal-%d{yyyy-MM-dd}-%i.log">

                 "fatal" onMatch="ACCEPT" onMismatch="DENY" />

             "%date{yyyy-MM-dd HH:mm:ss.SSS} %level [%thread][%file:%line] - %msg%n" />


                 "10 MB" />

             "20" />




         "trace">
             "Console" />
             "InfoFile" />
             "ErrorFile" />
             "FatalFile" />

测试代码：

 public static void main(String[] args) {
     Logger logger = LogManager.getLogger(Client.class);
     logger.trace("trace level");
     logger.debug("debug level");
     logger.info("info level");
     logger.warn("warn level");
     logger.error("error level");
     logger.fatal("fatal level");
 }

2 异步写日志

配置文件：

 "WARN" monitorInterval="300">

         "LOG_HOME">D:/logs
         "FILE_NAME">mylog



         "Console" target="SYSTEM_OUT">
             "%d{HH:mm:ss.SSS} [%t] %-5level %logger{36} - %msg%n" />

         "MyFile"
             fileName="${LOG_HOME}/${FILE_NAME}.log"
             filePattern="${LOG_HOME}/$${date:yyyy-MM}/${FILE_NAME}-%d{yyyy-MM-dd HH-mm}-%i.log">

                 pattern="%date{yyyy-MM-dd HH:mm:ss.SSS} %level [%thread][%file:%line] - %msg%n" />

                 "1" />
                 "10 MB" />

             "20" />

         "Async">
             "MyFile" />




         "asynclog" level="trace" additivity="false" >
             "Async" />

         "error">
             "Console" />

测试代码：

 public static void main(String[] args) {
     Logger logger = LogManager.getLogger("asynclog");
     logger.trace("trace level");
     logger.debug("debug level");
     logger.info("info level");
     logger.warn("warn level");
     logger.error("error level");
     logger.fatal("fatal level");
 }

3 输出到MongoDB

添加依赖：

     org.apache.logging.log4j
     log4j-nosql
     2.5


     org.mongodb
     mongo-java-driver
     3.2.2

配置文件：

 "WARN" monitorInterval="300">

         "Console" target="SYSTEM_OUT">
             "%d{HH:mm:ss.SSS} [%t] %-5level %logger{36} - %msg%n" />


         "databaseAppender">
             "test" collectionName="errorlog"
                 server="localhost" port="27017" />




         "mongolog" level="trace" additivity="false">
             "databaseAppender" />

         "error">
             "Console" />

4 输出到Flume

Flume配置(flume-conf.properties)

 agent1.sources=source1
 agent1.sinks=sink1
 agent1.channels=channel1

 agent1.sources.source1.type=avro
 agent1.sources.source1.channels=channel1
 agent1.sources.source1.bind=0.0.0.0
 agent1.sources.source1.port=41414

 agent1.sinks.sink1.type=file_roll
 agent1.sinks.sink1.sink.directory=D:/log
 agent1.sinks.sink1.channel=channel1
 agent1.sinks.sink1.sink.rollInterval=86400
 agent1.sinks.sink1.sink.batchSize=100
 agent1.sinks.sink1.sink.serializer=text
 agent1.sinks.sink1.sink.serializer.appendNewline = false

 agent1.channels.channel1.type=file
 agent1.channels.channel1.checkpointDir=D:/log/checkpoint
 agent1.channels.channel1.dataDirs=D:/log/data

启动Flume（注：测试环境为windows）

 flume-ng.cmd agent --conf ../conf/ --conf-file ../conf/flume-conf.properties -name agent1

添加依赖：

     org.apache.logging.log4j
     log4j-flume-ng
     2.5

配置文件：

 "WARN" monitorInterval="300">

         "eventLogger" compress="false">
             "127.0.0.1" port="41414" />
             "18060" includeMDC="true" appName="MyApp" />



         "trace">
             "eventLogger" />