你会了吗？ELK集合Kafka采集日志

ELK搭建请看之前的博客

我们从之前采用的logstash直接将项目日志采集到ES中，然后从kibana展示的方式改为将日志先采集到kafka然后用logstash输出到kibana展示

原因是当项目的日志量过大时，采用kafka可以实现高吞吐量

具体步骤

项目中引入kafka项目依赖 <dependency> <groupId>org.springframework.kafka</groupId> <artifactId>spring-kafka</artifactId> </dependency> <dependency> <groupId>com.github.danielwegener</groupId> <artifactId>logback-kafka-appender</artifactId> <version>0.2.0-RC2</version> </dependency> 复制代码 1234567891011

在logstas配置中将项目路径 input { tcp { mode => "server" host => "0.0.0.0"此处改为kafka地址 port => 4560 codec => json_lines } output { elasticsearch { hosts => "127.0.0.1:9200" index => "springboot-logstash-%{+YYYY.MM.dd}" } } 1234567891011121314

-增加logback.xml配置

<appender name="kafkaAppender" class="com.github.danielwegener.logback.kafka.KafkaAppender">
<encoder class="ch.qos.logback.classic.encoder.PatternLayoutEncoder">
<pattern>%d{HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n</pattern>
</encoder>
<topic>applog</topic>

<keyingStrategy class="com.github.danielwegener.logback.kafka.keying.NoKeyKeyingStrategy" />

    <!-- use async delivery. the application threads are not blocked by logging -->
    <deliveryStrategy class="com.github.danielwegener.logback.kafka.delivery.AsynchronousDeliveryStrategy" />

    <!-- each <producerConfig> translates to regular kafka-client config (format: key=value) -->
    <!-- producer configs are documented here: https://kafka.apache.org/documentation.html#newproducerconfigs -->
    <!-- bootstrap.servers is the only mandatory producerConfig -->
    <producerConfig>bootstrap.servers=192.168.217.130:9092</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>

</appender>

<root level="info">
    <appender-ref ref="kafkaAppender" />
</root>
<!--输出到logstash的appender-->
<appender name="LOGSTASH" class="net.logstash.logback.appender.LogstashTcpSocketAppender">
    <destination>localhost:9500</destination>
    <encoder charset="UTF-8" class="net.logstash.logback.encoder.LogstashEncoder"/>
</appender>
<root level="INFO">
    <appender-ref ref="CONSOLE"/>
    <appender-ref ref="FILE"/>
    <!--使用logstash时打开-->
    <appender-ref ref="LOGSTASH"/>
</root>

1234567891011121314151617181920212223242526272829303132333435363738394041
复制代码

log4j2配置 Socket: name: logstash-tcp host: 127.0.0.1 port: 4560 protocol: TCP PatternLayout: pattern: ${log.pattern} Root: level: debug AppenderRef: - ref: CONSOLE - ref: ROLLING_FILE - ref: EXCEPTION_ROLLING_FILE - ref: logstash-tcp - ref: TASK_ROLLING_FILE