kafka快速开发demo
在kafka快速上手,主要是使用kafka提供的测试来做了一下简单测试,实际开发中的使用可能才是我们要关系的.启动zk和kafka,新建topic的过程都不变. 1 新建一个maven工程,引入依赖 <dependency> <groupId>org.apache.kafka</groupId> <artifactId>kafka_2.11</artifactId> <version>0.8.2.1</version> </dependency> 2 编写配置文件 public interface KafkaProperties { public final static String ZK = "127.0.0.1:2181"; public final static String GROUP_ID = "test_group1"; public final static String TOPIC = "test"; public final static String BROKER_LIST = "127.0.0.1:9092"; public final static String SESSION_TIMEOUT = "20000"; public final static String SYNC_TIMEOUT = "20000"; public final static String INTERVAL = "1000"; } 3 编写生产者 public class KafkaProducer extends Thread { private Producer<Integer, String> producer; private String topic; private Properties props = new Properties(); private final int SLEEP = 1000 * 3; public KafkaProducer(String topic) { props.put("serializer.class", "kafka.serializer.StringEncoder"); //生产者直接和broker列表连接 props.put("metadata.broker.list", KafkaProperties.BROKER_LIST); producer = new Producer<Integer, String>(new ProducerConfig(props)); this.topic = topic; } @Override public void run() { int offsetNo = 1; while (true) { String msg = new String("Message_" + offsetNo); System.out.println("Send->[" + msg + "]"); producer.send(new KeyedMessage<Integer, String>(topic, msg)); offsetNo++; try { sleep(SLEEP); } catch (Exception ex) { ex.printStackTrace(); } } } } 4 编写消费者 public class KafkaConsumer extends Thread { private ConsumerConnector consumer; private String topic; private final int SLEEP = 1000 * 3; public KafkaConsumer(String topic) { consumer = Consumer.createJavaConsumerConnector(this.consumerConfig()); this.topic = topic; } private ConsumerConfig consumerConfig() { Properties props = new Properties(); //消费者使用zk的地址获取连接 props.put("zookeeper.connect", KafkaProperties.ZK); props.put("group.id", KafkaProperties.GROUP_ID); props.put("zookeeper.session.timeout.ms", KafkaProperties.SESSION_TIMEOUT); props.put("zookeeper.sync.time.ms", KafkaProperties.SYNC_TIMEOUT); props.put("auto.commit.interval.ms", KafkaProperties.INTERVAL); return new ConsumerConfig(props); } @Override public void run() { Map<String, Integer> topicCountMap = new HashMap<String, Integer>(); topicCountMap.put(topic, new Integer(1)); Map<String, List<KafkaStream<byte[], byte[]>>> consumerMap = consumer .createMessageStreams(topicCountMap); KafkaStream<byte[], byte[]> stream = consumerMap.get(topic).get(0); ConsumerIterator<byte[], byte[]> it = stream.iterator(); while (it.hasNext()) { System.out.println("Receive->[" + new String(it.next().message()) + "]"); try { sleep(SLEEP); } catch (Exception ex) { ex.printStackTrace(); } } } } 5 编写启动辅助类 ...