logback kafkaAppender输出日志到kafka

官网地址https://github.com/danielwegener/logback-kafka-appender

本文以spring boot项目为基础，更多的信息，请参考官网

https://github.com/danielwegener/logback-kafka-appender

使用maven引入所需要的jar包

　　　　　<dependency>
            <groupId>com.github.danielwegener</groupId>
            <artifactId>logback-kafka-appender</artifactId>
            <version>0.2.-RC1</version>
        </dependency>
        <dependency>
            <groupId>ch.qos.logback</groupId>
            <artifactId>logback-classic</artifactId>
            <!--<version>1.2.</version>
            <scope>runtime</scope>-->
        </dependency>
        <dependency>
            <groupId>ch.qos.logback</groupId>
            <artifactId>logback-core</artifactId>
            <!--<version>1.2.</version>-->
        </dependency>

配置logback-spring.xml，增加一个appender节点

<appender name="kafkaAppender" class="com.github.danielwegener.logback.kafka.KafkaAppender">

        <encoder class="ch.qos.logback.classic.encoder.PatternLayoutEncoder">
            <pattern>%message %n</pattern>
            <charset>utf8</charset>
        </encoder>
        <topic>rmcloud-gateway-audit-log</topic>
        <keyingStrategy class="com.github.danielwegener.logback.kafka.keying.NoKeyKeyingStrategy"/>
        <deliveryStrategy class="com.github.danielwegener.logback.kafka.delivery.AsynchronousDeliveryStrategy"/>
　　　　 <!--注意此处应该是spring boot中的kafka配置属性-->
        <producerConfig>bootstrap.servers=127.0.0.1:9092</producerConfig>
　　　　 <producerConfig>retries=1</producerConfig>

　　　　<producerConfig>batch-size=16384</producerConfig>

　　　　<producerConfig>buffer-memory=33554432</producerConfig>
　　　　<producerConfig>properties.max.request.size==2097152</producerConfig>

</appender>

<root level="INFO">
   <appender-ref ref="kafkaAppender"/>
</root>

自定义regular Filter

import ch.qos.logback.classic.spi.ILoggingEvent;
import ch.qos.logback.core.filter.Filter;
import ch.qos.logback.core.spi.FilterReply;
import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONObject;
import com.vcredit.rmcloud.gateway.bean.JsonResult;
import com.vcredit.rmcloud.gateway.bean.RmcloudConstant;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.lang3.StringUtils;

/**
 * 扩展logback filter，过虑rmcloud的日志，输出到kafka
 *
 * @author lee
 * @date 2018/9/11
 */

@Slf4j
public class LogKafkaFilter extends Filter<ILoggingEvent> {
    @Override
    public FilterReply decide(ILoggingEvent iLoggingEvent) {

        String message = iLoggingEvent.getMessage();
        /**
         * 此处是业务代码，可根据自己 的业务代码实现
         */
        if (StringUtils.isNotBlank(message)) {
　　　　　　　
            JSONObject auditLog = JSON.parseObject(message);
            log.info("responseBody:" + auditLog.get("responseBody").toString());
            JsonResult jsonResult = JSON.parseObject(auditLog.get("responseBody").toString(), JsonResult.class);
            if (auditLog.get("serviceId").toString().startsWith(RmcloudConstant.SERVICE_ID_RMCLOUD_START)) {
                return FilterReply.ACCEPT;
            }

        }
        return FilterReply.DENY;
    }
}

将自定义的Filter加入到kafkaAppender中

<appender name="kafkaRmcloudAppender" class="com.github.danielwegener.logback.kafka.KafkaAppender">
        <filter class="com.xx.xx.xx.filter.LogKafkaFilter"/>
        <encoder class="ch.qos.logback.classic.encoder.PatternLayoutEncoder">
            <pattern>%message %n</pattern>
            <charset>utf8</charset>
        </encoder>
        <topic>rmcloud-gateway-audit-log</topic>
        <keyingStrategy class="com.github.danielwegener.logback.kafka.keying.NoKeyKeyingStrategy"/>
        <deliveryStrategy class="com.github.danielwegener.logback.kafka.delivery.AsynchronousDeliveryStrategy"/>
        <producerConfig>bootstrap.servers=${kafkaServers}</producerConfig>
    </appender>

这样过滤不需要日志内容

另外，在github上发现另外一个KafkaAppener

https://github.com/johnmpage/logback-kafka