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 } }
