kafka的使用
kafka基于zookeeper。
需要安装kafka、zookeeper。
安装方法参考：http://tzz6.iteye.com/blog/2401197
启动zookeeper：点击zkServer.cmd启动zookeeper。
启动kafka：
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" alt="" />
如果启动报错：
启动kafka的时候报错：
ERROR Error while deleting the clean shutdown file in dir E:\kafka_2.11-1.0.0\tmp\kafka-logs (kafka.server.LogDirFailureChannel)
java.nio.file.FileSystemException: E:\kafka_2.11-1.0.0\tmp\kafka-logs\__consumer_offsets-9\00000000000000000000.timeindex: 另一个程序正在使用此文件，进程无法访问。
解决办法：
删除日志：
日志的路径在kafka的文件中找到server.properties：log.dirs=/tmp/kafka-logs。删除tmp文件夹下的kafka-logs文件夹。重启kafka即可。
kafka配置：
kafka-beans.xml：
<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:context="http://www.springframework.org/schema/context"
xmlns:mvc="http://www.springframework.org/schema/mvc"
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-4.0.xsd
http://www.springframework.org/schema/mvc http://www.springframework.org/schema/mvc/spring-mvc-4.0.xsd"> <context:component-scan base-package="com.unionpay.producer"></context:component-scan>
<context:component-scan base-package="com.unionpay.consumer"></context:component-scan> <bean id="kafkaProducerDemo" class="com.test.www.unionpay.producer.KafkaProducerDemo">
<property name="properties">
<props>
<prop key="topic">my-replicated-topic</prop>
<prop key="bootstrap.servers">127.0.0.1:9092</prop>
<prop key="acks">all</prop>
<prop key="key.serializer">org.apache.kafka.common.serialization.StringSerializer
</prop>
<prop key="value.serializer">org.apache.kafka.common.serialization.StringSerializer
</prop>
<prop key="buffer.memory">33554432</prop>
</props> </property>
</bean> <bean id="kafkaConsumerDemo" class="com.test.www.unionpay.consumer.KafkaConsumerDemo">
<property name="props">
<props>
<prop key="topic">my-replicated-topic</prop>
<prop key="bootstrap.servers">127.0.0.1:9092</prop>
<prop key="group.id">group1</prop>
<prop key="enable.auto.commit">true</prop>
<prop key="auto.commit.interval.ms">1000</prop>
<prop key="session.timeout.ms">30000</prop>
<prop key="key.deserializer">org.apache.kafka.common.serialization.StringDeserializer
</prop>
<prop key="value.deserializer">org.apache.kafka.common.serialization.StringDeserializer
</prop>
</props> </property>
</bean>
</beans>
redis.properties：
# 控制一个pool可分配多少个jedis实例
redis.pool.maxTotal=1000
# 控制一个pool最多有多少个状态为idle(空闲)的jedis实例
redis.pool.maxIdle=200
# 表示当borrow一个jedis实例时，最大的等待时间，如果超过等待时间，则直接抛出JedisConnectionException
redis.pool.maxWaitMillis=2000
#在borrow一个jedis实例时，是否提前进行validate操作；如果为true，则得到的jedis实例均是可用的
redis.pool.testOnBorrow=true
# redis 单机
# 单机 host
jedis.host=127.0.0.1
# 单机 port
jedis.port=6379
KafkaProducerDemo.java：
package com.test.www.unionpay.producer; import java.util.Properties; import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerRecord; public class KafkaProducerDemo {
Properties properties;
public KafkaProducerDemo() { }
public KafkaProducerDemo(Properties properties) {
super();
this.properties = properties;
} public Properties getProperties() {
return properties;
} public void setProperties(Properties properties) {
this.properties = properties;
} public void sendMessage(String msg) { KafkaProducer<String, String> producer = new KafkaProducer<String, String>(properties); ProducerRecord<String, String> record = new ProducerRecord<String, String>(properties.getProperty("topic"),msg);
producer.send(record); producer.close(); } }
KafkaConsumerDemo.java：
package com.test.www.unionpay.consumer; import java.util.Arrays;
import java.util.Properties; import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer; public class KafkaConsumerDemo {
private Properties props;
public KafkaConsumerDemo() {
}
public KafkaConsumerDemo(Properties props) {
super();
this.props = props;
} public Properties getProps() {
return props;
} public void setProps(Properties props) {
this.props = props;
} public String receive(){ KafkaConsumer<String,String> consumer = new KafkaConsumer<String,String>(props);
consumer.subscribe(Arrays.asList(props.getProperty("topic"))); String msg = "";
while(true){
ConsumerRecords<String,String> consumerRecords = consumer.poll(100);
for(ConsumerRecord<String, String> consumerRecord:consumerRecords){
msg += consumerRecord.value();
}
consumer.close();
return msg;
}
} }
KafkaController.java：
package com.test.www.web.controller; import java.text.SimpleDateFormat;
import java.util.Date; import javax.annotation.Resource; import org.springframework.stereotype.Controller;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RequestMethod;
import org.springframework.web.bind.annotation.RequestParam;
import org.springframework.web.servlet.ModelAndView; import com.test.www.unionpay.consumer.KafkaConsumerDemo;
import com.test.www.unionpay.producer.KafkaProducerDemo; @Controller
public class KafkaController { @Resource(name = "kafkaProducerDemo")
KafkaProducerDemo producer; @Resource(name = "kafkaConsumerDemo")
KafkaConsumerDemo consumer; @RequestMapping(value = "/welcome")
public ModelAndView welcome() {
System.out.println("--------welcome--------");
ModelAndView mv = new ModelAndView();
mv.setViewName("welcome");
return mv;
} @RequestMapping(value = "/sendmessage", method = RequestMethod.GET)
public ModelAndView sendMessage() {
System.out.println("--------sendmessage--------");
Date date = new Date();
SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");
String now = sdf.format(date); ModelAndView mv = new ModelAndView();
mv.addObject("time", now);
mv.setViewName("kafka_send");
return mv;
} @RequestMapping(value = "/onsend", method = RequestMethod.POST)
public ModelAndView onsend(@RequestParam("message") String msg) {
System.out.println("--------onsend--------");
producer.sendMessage(msg); ModelAndView mv = new ModelAndView();
mv.setViewName("welcome");
return mv;
} @RequestMapping(value = "/receive")
public ModelAndView receive() {
System.out.println("--------receive--------"); String msg = consumer.receive(); ModelAndView mv = new ModelAndView();
mv.addObject("msg", msg);
mv.setViewName("kafka_receive");
return mv;
} }
页面：
welcome.jsp：
<%@ page language="java" contentType="text/html; charset=UTF-8"
pageEncoding="UTF-8"%>
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>welcome</title>
</head>
<body>
<h1>Welcome</h1>
<h2><a href="sendmessage.html">Send a Message</a></h2>
<h2><a href="receive.html">Get a Message</a></h2>
</body>
</html>
kafka_send.jsp：
<%@ page language="java" contentType="text/html; charset=UTF-8"
pageEncoding="UTF-8"%>
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>kafka_send</title>
</head>
<body>
<h1>Send a Message</h1>
<form action="onsend.html" method="post">
MessageText:<textarea name="message">${time}</textarea>
<br>
<input type="submit" value="Submit">
</form> <h2><a href="welcome.html">RETURN HOME</a></h2>
</body>
</html>
kafka_receive.jsp：
<%@ page language="java" contentType="text/html; charset=UTF-8"
pageEncoding="UTF-8"%>
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd">
<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>kafka_receive</title>
</head>
<body> <h1>Kafka_Reveive!!!</h1>
<h2>Receive Message : ${msg}</h2>
<h2><a href="welcome.html">RETURN HOME</a></h2>
</body>
</html>
效果图：
如图，kafka发送消息、接受消息运行成功。
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