kafka集群搭建和使用Java写kafka生产者消费者

ph033378

　　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：
[iyunv@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
}
}




 

代码见附件：