kafka集群搭建和使用Java写kafka生产者消费者

1 kafka集群搭建

Java代码 收藏代码
1.zookeeper集群 搭建在110， 111,112

2.kafka使用3个节点110， 111,112
修改配置文件config/server.properties
broker.id=110
host.name=192.168.1.110
log.dirs=/usr/local/kafka_2.10-0.8.2.0/logs
复制到其他两个节点，然后修改对应节点上的config/server.pro

3.启动,在三个节点分别执行
bin/kafka-server-start.sh config/server.properties >/dev/null 2>&1 &

4 创建主题
bin/kafka-topics.sh –create –zookeeper localhost:2181 –replication-factor 3 –partitions 3 –topic test

5 查看主题详细
bin/kafka-topics.sh –describe –zookeeper localhost:2181 –topic test
–topic test
Topic:test PartitionCount:3 ReplicationFactor:3 Configs:
Topic: test Partition: 0 Leader: 110 Replicas: 110,111,112 Isr: 110,111,112
Topic: test Partition: 1 Leader: 111 Replicas: 111,112,110 Isr: 111,112,110
Topic: test Partition: 2 Leader: 112 Replicas: 112,110,111 Isr: 112,110,111

6 去zk上看kafka集群
[zk: localhost:2181(CONNECTED) 5] ls /
[admin, zookeeper, consumers, config, controller, zk-fifo, storm, brokers, controller_epoch]
[zk: localhost:2181(CONNECTED) 6] ls /brokers —-> 查看注册在zk内的kafka
[topics, ids]
[zk: localhost:2181(CONNECTED) 7] ls /brokers/ids
[112, 110, 111]
[zk: localhost:2181(CONNECTED) 8] ls /brokers/ids/112
[]
[zk: localhost:2181(CONNECTED) 9] ls /brokers/topics
[test]
[zk: localhost:2181(CONNECTED) 10] ls /brokers/topics/test
[partitions]
[zk: localhost:2181(CONNECTED) 11] ls /brokers/topics/test/partitions
[2, 1, 0]
[zk: localhost:2181(CONNECTED) 12]

2 kafka java调用：

2.1 java端生产数据， kafka集群消费数据：

Java代码 收藏代码
1 创建maven工程，pom.xml中增加如下：

org.apache.kafka
kafka_2.10
0.8.2.0

2 java代码： 向主题test内写入数据

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(topic, "message: " + i++));  
        try {  
            TimeUnit.SECONDS.sleep(1);  
        } catch (InterruptedException e) {  
            e.printStackTrace();  
        }  
    }  
}  

private Producer createProducer() {  
    Properties properties = new Properties();  
    properties.put("zookeeper.connect", "192.168.1.110:2181,192.168.1.111:2181,192.168.1.112:2181");//声明zk  
    properties.put("serializer.class", StringEncoder.class.getName());  
    properties.put("metadata.broker.list", "192.168.1.110:9092,192.168.1.111:9093,192.168.1.112:9094");// 声明kafka broker  
    return new Producer(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   

}  

}

3 kafka集群中消费主题test的数据：
[root@h2master kafka]# bin/kafka-console-consumer.sh –zookeeper localhost:2181 –topic test –from-beginnin

4 启动java代码，然后在看集群消费的数据如下：

message: 0
message: 1
message: 2
message: 3
message: 4
message: 5
message: 6
message: 7
message: 8
message: 9
message: 10
message: 11
message: 12
message: 13
message: 14
message: 15
message: 16
message: 17
message: 18
message: 19
message: 20
message: 21

3 kafka 使用Java写消费者，这样 先运行kafkaProducer ，在运行kafkaConsumer，即可得到生产者的数据：

Java代码 收藏代码
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;

/**
* 接收数据
* 接收到: message: 10
接收到: message: 11
接收到: message: 12
接收到: message: 13
接收到: message: 14
* @author zm
*
*/
public class kafkaConsumer extends Thread{

private String topic;  

public kafkaConsumer(String topic){  
    super();  
    this.topic = topic;  
}  


@Override  
public void run() {  
    ConsumerConnector consumer = createConsumer();  
    Map topicCountMap = new HashMap();  
    topicCountMap.put(topic, 1); // 一次从主题中获取一个数据  
     Map>>  messageStreams = consumer.createMessageStreams(topicCountMap);  
     KafkaStream stream = messageStreams.get(topic).get(0);// 获取每次接收到的这个数据  
     ConsumerIterator 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", "192.168.1.110:2181,192.168.1.111:2181,192.168.1.112:2181");//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   

}  

}