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  • 详解log4j2(下)

    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：

    [java] view plain copy print?在CODE上查看代码片派生到我的代码片
    1. <Configuration status="WARN" monitorInterval="300">  
    2.     <properties>  
    3.         <property name="LOG_HOME">D:/logs</property>  
    4.     </properties>  
    5.     <Appenders>  
    6.         <Console name="Console" target="SYSTEM_OUT">  
    7.             <PatternLayout pattern="%d{HH:mm:ss.SSS} [%t] %-5level %logger{36} - %msg%n" />  
    8.         </Console>  
    9.   
    10.         <RollingRandomAccessFile name="InfoFile"  
    11.             fileName="${LOG_HOME}/info.log"  
    12.             filePattern="${LOG_HOME}/$${date:yyyy-MM}/info-%d{yyyy-MM-dd}-%i.log">  
    13.             <Filters>  
    14.                 <ThresholdFilter level="warn" onMatch="DENY" onMismatch="NEUTRAL" />  
    15.                 <ThresholdFilter level="trace" onMatch="ACCEPT" onMismatch="DENY" />  
    16.             </Filters>  
    17.             <PatternLayout pattern="%date{yyyy-MM-dd HH:mm:ss.SSS} %level [%thread][%file:%line] - %msg%n" />  
    18.             <Policies>  
    19.                 <TimeBasedTriggeringPolicy />  
    20.                 <SizeBasedTriggeringPolicy size="10 MB" />  
    21.             </Policies>  
    22.             <DefaultRolloverStrategy max="20" />  
    23.         </RollingRandomAccessFile>  
    24.           
    25.         <RollingRandomAccessFile name="ErrorFile"  
    26.             fileName="${LOG_HOME}/error.log"  
    27.             filePattern="${LOG_HOME}/$${date:yyyy-MM}/error-%d{yyyy-MM-dd}-%i.log">  
    28.             <Filters>  
    29.                 <ThresholdFilter level="fatal" onMatch="DENY" onMismatch="NEUTRAL" />  
    30.                 <ThresholdFilter level="warn" onMatch="ACCEPT" onMismatch="DENY" />  
    31.             </Filters>  
    32.             <PatternLayout pattern="%date{yyyy-MM-dd HH:mm:ss.SSS} %level [%thread][%file:%line] - %msg%n" />  
    33.             <Policies>  
    34.                 <TimeBasedTriggeringPolicy />  
    35.                 <SizeBasedTriggeringPolicy size="10 MB" />  
    36.             </Policies>  
    37.             <DefaultRolloverStrategy max="20" />  
    38.         </RollingRandomAccessFile>  
    39.           
    40.         <RollingRandomAccessFile name="FatalFile"  
    41.             fileName="${LOG_HOME}/fatal.log"  
    42.             filePattern="${LOG_HOME}/$${date:yyyy-MM}/fatal-%d{yyyy-MM-dd}-%i.log">  
    43.             <Filters>  
    44.                 <ThresholdFilter level="fatal" onMatch="ACCEPT" onMismatch="DENY" />  
    45.             </Filters>  
    46.             <PatternLayout pattern="%date{yyyy-MM-dd HH:mm:ss.SSS} %level [%thread][%file:%line] - %msg%n" />  
    47.             <Policies>  
    48.                 <TimeBasedTriggeringPolicy />  
    49.                 <SizeBasedTriggeringPolicy size="10 MB" />  
    50.             </Policies>  
    51.             <DefaultRolloverStrategy max="20" />  
    52.         </RollingRandomAccessFile>  
    53.     </Appenders>  
    54.   
    55.     <Loggers>  
    56.         <Root level="trace">  
    57.             <AppenderRef ref="Console" />  
    58.             <AppenderRef ref="InfoFile" />  
    59.             <AppenderRef ref="ErrorFile" />  
    60.             <AppenderRef ref="FatalFile" />  
    61.         </Root>  
    62.     </Loggers>  
    63. </Configuration>  

    测试代码：

    [java] view plain copy print?在CODE上查看代码片派生到我的代码片
    1. public static void main(String[] args) {  
    2.     Logger logger = LogManager.getLogger(Client.class);  
    3.     logger.trace("trace level");  
    4.     logger.debug("debug level");  
    5.     logger.info("info level");  
    6.     logger.warn("warn level");  
    7.     logger.error("error level");  
    8.     logger.fatal("fatal level");  
    9. }  

    2 异步写日志

    配置文件：

    [java] view plain copy print?在CODE上查看代码片派生到我的代码片
    1. <Configuration status="WARN" monitorInterval="300">  
    2.     <properties>  
    3.         <property name="LOG_HOME">D:/logs</property>  
    4.         <property name="FILE_NAME">mylog</property>  
    5.     </properties>  
    6.   
    7.     <Appenders>  
    8.         <Console name="Console" target="SYSTEM_OUT">  
    9.             <PatternLayout pattern="%d{HH:mm:ss.SSS} [%t] %-5level %logger{36} - %msg%n" />  
    10.         </Console>  
    11.         <RollingRandomAccessFile name="MyFile"  
    12.             fileName="${LOG_HOME}/${FILE_NAME}.log"  
    13.             filePattern="${LOG_HOME}/$${date:yyyy-MM}/${FILE_NAME}-%d{yyyy-MM-dd HH-mm}-%i.log">  
    14.             <PatternLayout  
    15.                 pattern="%date{yyyy-MM-dd HH:mm:ss.SSS} %level [%thread][%file:%line] - %msg%n" />  
    16.             <Policies>  
    17.                 <TimeBasedTriggeringPolicy interval="1" />  
    18.                 <SizeBasedTriggeringPolicy size="10 MB" />  
    19.             </Policies>  
    20.             <DefaultRolloverStrategy max="20" />  
    21.         </RollingRandomAccessFile>  
    22.         <Async name="Async">  
    23.             <AppenderRef ref="MyFile" />  
    24.         </Async>  
    25.     </Appenders>  
    26.   
    27.     <Loggers>  
    28.         <Logger name="asynclog" level="trace" additivity="false" >  
    29.             <AppenderRef ref="Async" />  
    30.         </Logger>  
    31.         <Root level="error">  
    32.             <AppenderRef ref="Console" />  
    33.         </Root>  
    34.     </Loggers>  
    35. </Configuration>  

    测试代码：

    [java] view plain copy print?在CODE上查看代码片派生到我的代码片
    1. public static void main(String[] args) {  
    2.     Logger logger = LogManager.getLogger("asynclog");  
    3.     logger.trace("trace level");  
    4.     logger.debug("debug level");  
    5.     logger.info("info level");  
    6.     logger.warn("warn level");  
    7.     logger.error("error level");  
    8.     logger.fatal("fatal level");  
    9. }  

    3 输出到MongoDB

    添加依赖：

    [java] view plain copy print?在CODE上查看代码片派生到我的代码片
    1. <dependency>  
    2.     <groupId>org.apache.logging.log4j</groupId>  
    3.     <artifactId>log4j-nosql</artifactId>  
    4.     <version>2.5</version>  
    5. </dependency>  
    6. <dependency>  
    7.     <groupId>org.mongodb</groupId>  
    8.     <artifactId>mongo-java-driver</artifactId>  
    9.     <version>3.2.2</version>  
    10. </dependency>  

    配置文件：

    [java] view plain copy print?在CODE上查看代码片派生到我的代码片
    1. <Configuration status="WARN" monitorInterval="300">  
    2.     <Appenders>  
    3.         <Console name="Console" target="SYSTEM_OUT">  
    4.             <PatternLayout pattern="%d{HH:mm:ss.SSS} [%t] %-5level %logger{36} - %msg%n" />  
    5.         </Console>  
    6.   
    7.         <NoSql name="databaseAppender">  
    8.             <MongoDb databaseName="test" collectionName="errorlog"  
    9.                 server="localhost" port="27017" />  
    10.         </NoSql>  
    11.     </Appenders>  
    12.   
    13.     <Loggers>  
    14.         <Logger name="mongolog" level="trace" additivity="false">  
    15.             <AppenderRef ref="databaseAppender" />  
    16.         </Logger>  
    17.         <Root level="error">  
    18.             <AppenderRef ref="Console" />  
    19.         </Root>  
    20.     </Loggers>  
    21. </Configuration>  

    4 输出到Flume

    Flume配置(flume-conf.properties)

    [java] view plain copy print?在CODE上查看代码片派生到我的代码片
    1. agent1.sources=source1   
    2. agent1.sinks=sink1   
    3. agent1.channels=channel1   
    4.   
    5. agent1.sources.source1.type=avro  
    6. agent1.sources.source1.channels=channel1  
    7. agent1.sources.source1.bind=0.0.0.0  
    8. agent1.sources.source1.port=41414  
    9.   
    10. agent1.sinks.sink1.type=file_roll   
    11. agent1.sinks.sink1.sink.directory=D:/log  
    12. agent1.sinks.sink1.channel=channel1  
    13. agent1.sinks.sink1.sink.rollInterval=86400  
    14. agent1.sinks.sink1.sink.batchSize=100  
    15. agent1.sinks.sink1.sink.serializer=text  
    16. agent1.sinks.sink1.sink.serializer.appendNewline = false  
    17.   
    18. agent1.channels.channel1.type=file   
    19. agent1.channels.channel1.checkpointDir=D:/log/checkpoint   
    20. agent1.channels.channel1.dataDirs=D:/log/data  

    启动Flume（注：测试环境为windows）

    [java] view plain copy print?在CODE上查看代码片派生到我的代码片
    1. flume-ng.cmd agent --conf ../conf/ --conf-file ../conf/flume-conf.properties -name agent1  

    添加依赖：

    [java] view plain copy print?在CODE上查看代码片派生到我的代码片
    1. <dependency>  
    2.     <groupId>org.apache.logging.log4j</groupId>  
    3.     <artifactId>log4j-flume-ng</artifactId>  
    4.     <version>2.5</version>  
    5. </dependency>  

    配置文件：

    [java] view plain copy print?在CODE上查看代码片派生到我的代码片
      1. <Configuration status="WARN" monitorInterval="300">  
      2.     <Appenders>  
      3.         <Flume name="eventLogger" compress="false">  
      4.             <Agent host="127.0.0.1" port="41414" />  
      5.             <RFC5424Layout enterpriseNumber="18060" includeMDC="true" appName="MyApp" />  
      6.         </Flume>  
      7.     </Appenders>  
      8.     <Loggers>  
      9.         <Root level="trace">  
      10.             <AppenderRef ref="eventLogger" />  
      11.         </Root>  
      12.     </Loggers>  
      13. </Configuration> 
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  • 原文地址：https://www.cnblogs.com/kabi/p/6693473.html
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