一、kafka / zookeeper环境配置
（mac下可以使用以下进行配置）
- 安装zookeeper ：brew install zookeeper
- 启动zookeeper：zkServer start
- 安装kafka：brew install kafka
- 启动kafka服务：kafka-server-start /usr/local/etc/kafka/server.properties
- 新建topic :kafka-topics –create –topic kafkatopic –replication-factor 1 –partitions 1 –zookeeper localhost:2181
- 启动生产者与消费者：kafka-console-producer –broker-list localhost:9092 –sync –topic kafkatopic
kafka-console-consumer –zookeeper localhost:2181 –topic kafkatopic –from-beginning
现在可以测试发送消息啦：
二、java中使用kafka
- maven依赖：
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka_2.10</artifactId>
<version>0.8.2.0</version>
</dependency>- 生产者：
package com.lenovo.m2.buy.purchase.webap.test;
import java.util.Properties;
import java.util.concurrent.TimeUnit;
import kafka.javaapi.producer.Producer;
import kafka.producer.KeyedMessage;
import kafka.producer.ProducerConfig;
import kafka.serializer.StringEncoder;
public class kafkaProducer extends Thread{
private String topic;
public kafkaProducer(String topic){
super();
this.topic = topic;
}
@Override
public void run() {
Producer producer = createProducer();
int i=0;
while(true){
producer.send(new KeyedMessage<Integer, String>(topic, "message: " + i++));
try {
TimeUnit.SECONDS.sleep(1);
} catch (InterruptedException e) {
e.printStackTrace();
}
}
}
private Producer createProducer() {
Properties properties = new Properties();
properties.put("zookeeper.connect", "localhost:2181,localhost:2181,localhost:2181");//声明zk
properties.put("serializer.class", StringEncoder.class.getName());
properties.put("metadata.broker.list", "localhost:9092");// 声明kafka broker,localhost:9093,localhost:9094
return new Producer<Integer, String>(new ProducerConfig(properties));
}
public static void main(String[] args) {
new kafkaProducer("test").start();// 使用kafka集群中创建好的主题 test
}
}
- 消费者：
package com.lenovo.m2.buy.purchase.webap.test;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Properties;
import kafka.consumer.Consumer;
import kafka.consumer.ConsumerConfig;
import kafka.consumer.ConsumerIterator;
import kafka.consumer.KafkaStream;
import kafka.javaapi.consumer.ConsumerConnector;
/**
1. Created by D_xiao on 16/12/9.
*/
public class kafkaConsumer extends Thread{
private String topic;
public kafkaConsumer(String topic){
super();
this.topic = topic;
}
@Override
public void run() {
ConsumerConnector consumer = createConsumer();
Map<String, Integer> topicCountMap = new HashMap<String, Integer>();
topicCountMap.put(topic, 1); // 一次从主题中获取一个数据
Map<String, List<KafkaStream<byte[], byte[]>>> messageStreams = consumer.createMessageStreams(topicCountMap);
KafkaStream<byte[], byte[]> stream = messageStreams.get(topic).get(0);// 获取每次接收到的这个数据
ConsumerIterator<byte[], byte[]> iterator = stream.iterator();
while(iterator.hasNext()){
String message = new String(iterator.next().message());
System.out.println("接收到: " + message);
}
}
private ConsumerConnector createConsumer() {
Properties properties = new Properties();
properties.put("zookeeper.connect", "localhost:2181,localhost:2181,localhost:2181");//声明zk
properties.put("group.id", "group1");// 必须要使用别的组名称， 如果生产者和消费者都在同一组，则不能访问同一组内的topic数据
return Consumer.createJavaConsumerConnector(new ConsumerConfig(properties));
}
public static void main(String[] args) {
new kafkaConsumer("test").start();// 使用kafka集群中创建好的主题 test
}
}先运行生产者，在运行消费者，消费端便可接收到消息啦~ 
