从无到有系列之kafka生产消费者demo02

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（使用maven构建项目）

POM.xml:

加入:

<groupId>org.apache.kafka</groupId>

<artifactId>kafka_2.10</artifactId>

</dependency>

生产者：

package MavenDemo.Mdemo;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", "192.168.10.66:2181");//声明zk          properties.put("serializer.class", StringEncoder.class.getName());          properties.put("metadata.broker.list", "192.168.10.66:9092");// 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                 }         }

生产者：

package MavenDemo.Mdemo;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", "192.168.10.66:2181");//声明zk          properties.put("serializer.class", StringEncoder.class.getName());          properties.put("metadata.broker.list", "192.168.10.66:9092");// 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                 }         }

消费者

package MavenDemo.Mdemo;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;}@Overridepublic 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", "192.168.10.66:2181");//声明zkproperties.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 } }

先启动生产者代码，再启动消费者代码

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