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
public class KafkaClientApp {
public static void main(String[] args) {
KafkaProducer pro = new KafkaProducer(KafkaProperties.TOPIC);
pro.start();
KafkaConsumer con = new KafkaConsumer(KafkaProperties.TOPIC);
con.start();
}
}
之后启动测试一下就好了.