kafka集群搭建和使用Java写kafka生产者消费者

 

 转自：http://chengjianxiaoxue.iteye.com/blog/2190488

1 kafka集群搭建

 

    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：

    1 创建maven工程，pom.xml中增加如下：  
     <dependency>  
            <groupId>org.apache.kafka</groupId>  
            <artifactId>kafka_2.10</artifactId>  
            <version>0.8.2.0</version>  
        </dependency>  
      
      
    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<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", "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<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   
              
        }  
           
    }  
      
      
      
      
    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：

    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<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", "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   
              
        }  
           
    }