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  • logback-spring.xml

    <?xml version="1.0" encoding="UTF-8"?>
    <configuration  scan="true" scanPeriod="10 seconds" debug="false">
    
    
        <!--上下文名称-->
        <contextName>logback</contextName>
    
        <!--日志根目录 -->
         <!--<property name="log.path" value="C:/logs" />-->
        <springProperty scope="context" name="log.path" source="spring.application.logpath" defaultValue="C:/logs"/>
    	
        <springProperty scope="context" name="servicename" source="spring.application.name" defaultValue="UnknownService"/>
        <springProperty scope="context" name="env" source="spring.profiles.active" defaultValue="dev"/>
        <springProperty scope="context" name="serviceport" source="server.port" defaultValue="80"/>
    
        <!--以上三行需要和yml对应-->
    
        <!--输出日志到控制台 -->
        <appender name="CONSOLE" class="ch.qos.logback.core.ConsoleAppender">
            <filter class="ch.qos.logback.classic.filter.ThresholdFilter">
                <level>INFO</level>
            </filter>
            <encoder>
                <pattern>%yellow(%date{yyyy-MM-dd HH:mm:ss}) |%highlight(%-5level) |%blue(%thread) |%green(%file:%line) |%magenta(%logger) |%cyan(%msg%n)</pattern>
                <charset>UTF-8</charset>
            </encoder>
        </appender>
    
        <!--①.level=INFO的日志文件 -->
        <appender name="INFO_FILE" class="ch.qos.logback.core.rolling.RollingFileAppender">
            <rollingPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedRollingPolicy">
                <fileNamePattern>${log.path}/info/infolevel_makedata.%d{yyyy-MM-dd}.%i.txt</fileNamePattern>
                <maxFileSize>100MB</maxFileSize>
                <maxHistory>15</maxHistory>
                <totalSizeCap>2GB</totalSizeCap>
            </rollingPolicy>
            <!--日志输出级别-->
            <filter class="ch.qos.logback.classic.filter.LevelFilter">
                <level>INFO</level>
                <onMatch>ACCEPT</onMatch>
                <onMismatch>DENY</onMismatch>
            </filter>
            <!--日志文件输出格式-->
            <encoder>
                <pattern>[%d{yyyy-MM-dd HH:mm:ss.SSS}] %thread %-5level %logger{50} --- %msg%n</pattern>
                <charset>UTF-8</charset>
            </encoder>
        </appender>
    
        <!--②.level=WARN的日志文件 -->
        <appender name="WARN_FILE" class="ch.qos.logback.core.rolling.RollingFileAppender">
            <!--基本设置-->
            <rollingPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedRollingPolicy">
                <fileNamePattern>${log.path}/warn/warnlevel_makedata.%d{yyyy-MM-dd}.%i.txt</fileNamePattern>
                <maxFileSize>100MB</maxFileSize>
                <maxHistory>15</maxHistory>
                <totalSizeCap>2GB</totalSizeCap>
            </rollingPolicy>
            <!--日志输出级别-->
            <filter class="ch.qos.logback.classic.filter.LevelFilter">
                <level>WARN</level>
                <onMatch>ACCEPT</onMatch>
                <onMismatch>DENY</onMismatch>
            </filter>
            <!--日志文件输出格式-->
            <encoder>
                <pattern>[%d{yyyy-MM-dd HH:mm:ss.SSS}] %thread %-5level %logger{50} - %msg%n</pattern>
                <charset>UTF-8</charset>
            </encoder>
        </appender>
    
        <!--③.level=ERROR的日志文件 -->
        <appender name="ERROR_FILE" class="ch.qos.logback.core.rolling.RollingFileAppender">
            <!--基本设置-->
            <rollingPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedRollingPolicy">
                <fileNamePattern>${log.path}/error/errorlever_makedata.%d{yyyy-MM-dd}.%i.txt</fileNamePattern>
                <maxFileSize>100MB</maxFileSize>
                <maxHistory>15</maxHistory>
                <totalSizeCap>2GB</totalSizeCap>
            </rollingPolicy>
            <!--日志输出级别-->
            <filter class="ch.qos.logback.classic.filter.LevelFilter">
                <level>ERROR</level>
                <onMatch>ACCEPT</onMatch>
                <onMismatch>DENY</onMismatch>
            </filter>
            <!--日志文件输出格式-->
            <encoder>
                <pattern>[%d{yyyy-MM-dd HH:mm:ss.SSS}] %thread %-5level %logger{50} - %msg%n</pattern>
                <charset>UTF-8</charset>
            </encoder>
        </appender>
       <!-- <appender name="KafkaAppender" class="com.github.danielwegener.logback.kafka.KafkaAppender">
            <encoder class="com.github.danielwegener.logback.kafka.encoding.LayoutKafkaMessageEncoder">
                <layout class="net.logstash.logback.layout.LogstashLayout" >
                    <!– 是否包含上下文 –>
                    <includeContext>true</includeContext>
                    <!– 是否包含日志来源 –>
                    <includeCallerData>true</includeCallerData>
                    <!– 自定义附加字段 –>
                    <customFields>{"system":"test"}</customFields>
                    <!– 自定义字段的简称 –>
                    <fieldNames class="net.logstash.logback.fieldnames.ShortenedFieldNames"/>
                </layout>
                <charset>UTF-8</charset>
            </encoder>
            <!–kafka topic 需要与配置文件里面的topic一致 否则kafka会沉默并鄙视你–>
            <topic>applog_dev</topic>
            <keyingStrategy class="com.github.danielwegener.logback.kafka.keying.HostNameKeyingStrategy" />
            <deliveryStrategy class="com.github.danielwegener.logback.kafka.delivery.AsynchronousDeliveryStrategy" />
            <producerConfig>bootstrap.servers=124.71.59.186:9092,139.159.249.142:9092,124.71.85.73:9092</producerConfig>
            <!– don't wait for a broker to ack the reception of a batch.  –>
            <producerConfig>acks=0</producerConfig>
            <!– wait up to 1000ms and collect log messages before sending them as a batch –>
            <producerConfig>linger.ms=1000</producerConfig>
            <!– even if the producer buffer runs full, do not block the application but start to drop messages –>
            <producerConfig>max.block.ms=0</producerConfig>
            <!– define a client-id that you use to identify yourself against the kafka broker –>
            <producerConfig>client.id=${HOSTNAME}-${CONTEXT_NAME}-logback-relaxed</producerConfig>
    
             this is the fallback appender if kafka is not available.
            <appender-ref ref="CONSOLE" />
        </appender>-->
    
       <!-- <appender name="KafkaAppender" class="com.github.danielwegener.logback.kafka.KafkaAppender">
            <encoder class="net.logstash.logback.encoder.LoggingEventCompositeJsonEncoder">
                <providers class="net.logstash.logback.composite.loggingevent.LoggingEventJsonProviders">
                    <pattern>
                <!–        <pattern>
                            {
                            "env": "${env}",
                            "servicename":"${servicename}",
                            "type":"${servicename}",
                            "serviceinfo":"%serviceip:${serviceport}",
                            "date":"%d{yyyy-MM-dd HH:mm:ss.SSS}",
                            "level":"%level",
                            "thread": "%thread",
                            "logger": "%logger{36}",
                            "msg":"%msg",
                            "exception":"%exception"
                            }
                        </pattern>–>
                        <pattern>
                            {
                            "env": "${env}",
                            "servicename":"${servicename}",
                            "type":"${servicename}",
                            "serviceinfo":"%serviceip:${serviceport}",
                            "date":"%d{yyyy-MM-dd HH:mm:ss.SSS}",
                            "level":"%level",
                            "thread": "%thread",
                            "msg":"%msg",
                            "exception":"%exception"
                            }
                        </pattern>
                    </pattern>
                </providers>
            </encoder>
            <topic>appdev</topic>
            <keyingStrategy class="com.github.danielwegener.logback.kafka.keying.NoKeyKeyingStrategy"/>
            <deliveryStrategy class="com.github.danielwegener.logback.kafka.delivery.AsynchronousDeliveryStrategy"/>
            <producerConfig>acks=0</producerConfig>
            <producerConfig>linger.ms=1000</producerConfig>
            <producerConfig>max.block.ms=0</producerConfig>
            <producerConfig>bootstrap.servers=${bootstrapServers}</producerConfig>
    
        </appender>-->
    
    <!--    <appender name="ASYNC" class="ch.qos.logback.classic.AsyncAppender">
            <appender-ref ref="KafkaAppender"/>
        </appender-->>
    
        <!--当 “开发” “测试” 环境的话,激活该配置-->
        <root >
            <appender-ref ref="CONSOLE"/>
            <appender-ref ref="INFO_FILE"/>
            <appender-ref ref="WARN_FILE"/>
            <appender-ref ref="ERROR_FILE"/>
        </root>
      <!-- <springProfile name="dev,test">
            <root >
                <appender-ref ref="CONSOLE"/>
                <appender-ref ref="INFO_FILE"/>
                <appender-ref ref="WARN_FILE"/>
                <appender-ref ref="ERROR_FILE"/>
                <appender-ref ref="ASYNC"/>
            </root>
        </springProfile>
        <!–当不是生产环境的话,激活该配置–>
        <springProfile name="!prod">
            <root >
                <appender-ref ref="CONSOLE"/>
                <appender-ref ref="INFO_FILE"/>
                <appender-ref ref="WARN_FILE"/>
                <appender-ref ref="ERROR_FILE"/>
                <appender-ref ref="ASYNC"/>
            </root>
        </springProfile>
    -->
    <!--    <root>
            <appender-ref ref="CONSOLE"/>
            <appender-ref ref="INFO_FILE"/>
            <appender-ref ref="WARN_FILE"/>
            <appender-ref ref="ERROR_FILE"/>
        </root>-->
         <!--springProfile表示在dev环境下使用 -->
    <!--     <springProfile name="dev">
             <logger name="com.nick" level="INFO" additivity="true">
                 <appender-ref ref="KafkaAppender" />
             </logger>
         </springProfile>-->
    
    </configuration>
    

      

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  • 原文地址:https://www.cnblogs.com/zhian/p/15545888.html
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