<?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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