kafka用eclipse实现发送接收消息

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最新推荐文章于 2025-02-27 10:40:16 发布

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文章标签： java kafka

本文链接：https://blog.youkuaiyun.com/qq_44426756/article/details/103480775

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kafka用eclipse实现发出接受

maven项目

结构：

pom.xml

<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
  <modelVersion>4.0.0</modelVersion>
  <groupId>com.yangguangyu</groupId>
  <artifactId>yangguangyu-kafka01</artifactId>
  <version>0.0.1-SNAPSHOT</version>
  <dependencies>
  	<dependency>
            <groupId>org.springframework.kafka</groupId>
            <artifactId>spring-kafka</artifactId>
            <version>2.2.0.RELEASE</version>
        </dependency>
        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka_2.10</artifactId>
            <version>0.8.2.1</version>
            <exclusions>
                <exclusion>
                    <artifactId>jmxri</artifactId>
                    <groupId>com.sun.jmx</groupId>
                </exclusion>
                <exclusion>
                    <artifactId>jms</artifactId>
                    <groupId>javax.jms</groupId>
                </exclusion>
                <exclusion>
                    <artifactId>jmxtools</artifactId>
                    <groupId>com.sun.jdmk</groupId>
                </exclusion>
            </exclusions>
        </dependency>
        <dependency>
            <groupId>org.springframework</groupId>
            <artifactId>spring-test</artifactId>
            <version>5.1.7.RELEASE</version>
        </dependency>
        <dependency>
            <groupId>junit</groupId>
            <artifactId>junit</artifactId>
            <version>4.12</version>
            <scope>compile</scope>
        </dependency>
        <dependency>
            <groupId>log4j</groupId>
            <artifactId>log4j</artifactId>
            <version>1.2.17</version>
        </dependency>
  </dependencies>
</project>

配置kafka的xml文件

consumer.xml:

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
	xmlns:context="http://www.springframework.org/schema/context"
	xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
	xsi:schemaLocation="http://www.springframework.org/schema/beans 
	    http://www.springframework.org/schema/beans/spring-beans.xsd
	    http://www.springframework.org/schema/context
	    http://www.springframework.org/schema/context/spring-context.xsd">

	<bean id="consumerProperties" class="java.util.HashMap">
		<constructor-arg>
			<map>
				<!--Kafka服务地址 -->
				<entry key="bootstrap.servers" value="192.168.241.128:9092" />
				<!--Consumer的组ID，相同group.id的consumer属于同一个组。一个组中的不同成员,相同的消息只能有一个人收到 -->
				<entry key="group.id" value="test-consumer-group" />
				<!--如果此值设置为true，consumer会周期性的把当前消费的offset值保存到zookeeper。当consumer失败重启之后将会使用此值作为新开始消费的值。 -->
				<entry key="enable.auto.commit" value="true" />
				<!--网络请求的socket超时时间。实际超时时间由max.fetch.wait + socket.timeout.ms 确定 -->
				<entry key="session.timeout.ms" value="15000 " />

				<entry key="key.deserializer"
					value="org.apache.kafka.common.serialization.StringDeserializer" />

				<entry key="value.deserializer"
					value="org.apache.kafka.common.serialization.StringDeserializer" />
			</map>
		</constructor-arg>
	</bean>


	<!-- 创建consumerFactory bean -->
	<bean id="consumerFactory"
		class="org.springframework.kafka.core.DefaultKafkaConsumerFactory">
		<constructor-arg>
			<ref bean="consumerProperties" />
		</constructor-arg>
	</bean>


	<bean id="messageListenerContainer"
		class="org.springframework.kafka.listener.KafkaMessageListenerContainer"
		init-method="doStart">
		<constructor-arg ref="consumerFactory" />
		<constructor-arg ref="containerProperties" />
	</bean>



	<!-- 记得修改主题 -->
	<bean id="containerProperties" class="org.springframework.kafka.listener.ContainerProperties">
		<!-- 构造函数 就是 主题的参数值 -->
		<constructor-arg value="ygykafka" />
		<property name="messageListener" ref="messageListernerConsumerService" />
	</bean>



	<!--指定具体监听类的bean 这个类需要我们手工写-->
	<bean id="messageListernerConsumerService" class="com.kafka.MsgListener" />
	
	
</beans>

log4.properties:

#  Logging level
solr.log=logs/
log4j.rootLogger=info, file, CONSOLE

log4j.appender.CONSOLE=org.apache.log4j.ConsoleAppender

log4j.appender.CONSOLE.layout=org.apache.log4j.PatternLayout
log4j.appender.CONSOLE.layout.ConversionPattern=%-4r [%t] %-5p %c %x \u2013 %m%n

#- size rotation with log cleanup.
log4j.appender.file=org.apache.log4j.RollingFileAppender
log4j.appender.file.MaxFileSize=4MB
log4j.appender.file.MaxBackupIndex=9

#- File to log to and log format
log4j.appender.file.File=${solr.log}/solr.log
log4j.appender.file.layout=org.apache.log4j.PatternLayout
log4j.appender.file.layout.ConversionPattern=%-5p - %d{yyyy-MM-dd HH:mm:ss.SSS}; %C; %m\n

log4j.logger.org.apache.zookeeper=WARN
log4j.logger.org.apache.hadoop=WARN

# set to INFO to enable infostream log messages
log4j.logger.org.apache.solr.update.LoggingInfoStream=OFF

produce.xml:

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
	xmlns:context="http://www.springframework.org/schema/context"
	xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
	xsi:schemaLocation="http://www.springframework.org/schema/beans 
	    http://www.springframework.org/schema/beans/spring-beans.xsd
	    http://www.springframework.org/schema/context
	    http://www.springframework.org/schema/context/spring-context.xsd">
	    
	    <!--参数配置 -->
	<bean id="producerProperties" class="java.util.HashMap">
		<constructor-arg>
			<map>
				<!-- kafka服务地址，可能是集群 value="localhost:9092,localhost:9093,localhost:9094"-->
				<entry key="bootstrap.servers" value="192.168.241.128:9092" />
				
				<!-- 有可能导致broker接收到重复的消息-->
				<entry key="retries" value="0" />
				<!-- 每次批量发送消息的数量 -->
				<entry key="batch.size" value="1638" />
				<!-- 默认0ms，在异步IO线程被触发后（任何一个topic，partition满都可以触发） -->
				<entry key="linger.ms" value="1" />
				
				<!--producer可以用来缓存数据的内存大小。如果数据产生速度大于向broker发送的速度，producer会阻塞或者抛出异常 -->
				<entry key="buffer.memory" value="33554432 " />
				
				<entry key="key.serializer"
					value="org.apache.kafka.common.serialization.StringSerializer" />
					
				<entry key="value.serializer"
					value="org.apache.kafka.common.serialization.StringSerializer" />
			</map>
		</constructor-arg>
	</bean>

	<!-- 创建kafkatemplate需要使用的producerfactory bean -->
	<bean id="producerFactory"
		class="org.springframework.kafka.core.DefaultKafkaProducerFactory">
		<constructor-arg>
			<ref bean="producerProperties" />
		</constructor-arg>
	</bean>

	<!-- 创建kafkatemplate bean，使用的时候，只需要注入这个bean，即可使用template的send消息方法 -->
	<bean id="kafkaTemplate" class="org.springframework.kafka.core.KafkaTemplate">
		<constructor-arg ref="producerFactory" />
		<!--设置对应topic -->
		<property name="defaultTopic" value="ygykafka" />
	</bean>
</beans>

监听类：

/**
 * 
 */
package com.kafka;

import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.springframework.kafka.listener.MessageListener;

/**
 * @author 杨光宇
 * 2019年12月10日
 */
public class MsgListener implements MessageListener<String, String>{

	/* 接受方法
	 */
	@Override
	public void onMessage(ConsumerRecord<String, String> data) {
		// TODO Auto-generated method stub
		String value = data.value();
		//输出
		System.err.println(value);
	}

}

测试类：

import org.springframework.context.support.ClassPathXmlApplicationContext;

/**
 * 
 */

/**
 * @author 杨光宇
 * 2019年12月10日
 */
public class Consumer {
	//测试
	public static void main(String[] args) {
		new ClassPathXmlApplicationContext("classpath:consumer.xml");
	}
}

producer:

import org.junit.Test;
import org.junit.runner.RunWith;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.test.context.ContextConfiguration;
import org.springframework.test.context.junit4.SpringJUnit4ClassRunner;

/**
 * 
 */

/**
 * @author 杨光宇
 * 2019年12月10日
 */
@ContextConfiguration(locations="classpath:producer.xml")
@RunWith(SpringJUnit4ClassRunner.class)
public class Producer {
	@Autowired
	KafkaTemplate<String,String> kfaKafkaTemplate;
	@Test
	public void pro(){
		kfaKafkaTemplate.send("ygykafka","这是发送的消息");
	}
}

总结：

开启Consumer消费者，引入Consumer.xml实现实体bean的持续监听，启动Producer生产者 发送一个消息，并在控制台输出消费者收到的消息