1、zookeeper集群安装
参考《日子》.分布式之开篇－Zookeeper集群安装
zookeeper 三台
192.168.0.70
192.168.0.71
192.168.0.72
2、kafka集群安装
部署机器三台:
192.168.0.73
192.168.0.74
192.168.0.75
java 环境安装:
jdk包 jdk-7u51-linux-x64.rpm 上传至目录 /cluster/install/jdk-7u51-linux-x64.rpm
[root@localhost #] rpm -ivh /cluster/install/jdk-7u51-linux-x64.rpm
准备开发包:kafka_2.10-0.8.2.0.tgz 上传至目录 /cluster/install/kafka_2.10-0.8.2.0.tgz
解压缩包:[root@localhost #] tar zxvf /cluster/install/kafka_2.10-0.8.2.0.tgz
复制到cluster目录下[root@localhost #] cp /cluster/install/kafka_2.10-0.8.2.0 /cluster
修改server.properties文件
[root@localhost #] vi /cluster/kafka_2.10-0.8.2.0/config/server.properties
broker.id=73 --分别对应每个机器IP末尾数
host.name=192.168.0.73
zookeeper.connect=192.168.0.70:2181,192.168.0.71:2181,192.168.0.72:2181
复制到其他机器[root@localhost #] scp -r /cluster root192.168.0.74:/
[root@localhost #] scp -r /cluster root192.168.0.75:/
更改相应的broker.id 、host.name
启动: [root@localhost bin#]./kafka-server-start.sh /cluster/kafka_2.10-0.8.2.0/config/server.properties
忍不住来张图，刚启动时74是leader，尝试了下down掉74,现在转为73了
192.168.0.73,192.168.0.74,192.168.0.75,开启端口 9092
[root@localhost #]/sbin/iptables -I INPUT -p tcp --dport 9092 -j ACCEPT
[root@localhost #]/etc/rc.d/init.d/iptables save #将更改进行保存
[root@localhost #]/etc/init.d/iptables restart #重启防火墙以便改动生效
3、代码示例
最关键的部分，所有程序员最心切的期待开始
属性配制：
public interface KafkaProperties {
final static String zkConnect = "192.168.0.70:2181,192.168.0.71:2181,192.168.0.72:2181";
final static String groupId = "group1";
final static String topic = "topic1";
final static String kafkaServerURL = "192.168.0.73,192.168.0.74,192.168.0.75";
final static int kafkaServerPort = 9092;
final static int kafkaProducerBufferSize = 64 * 1024;
final static int connectionTimeOut = 20000;
final static int reconnectInterval = 10000;
final static String topic2 = "topic2";
final static String topic3 = "topic3";
final static String clientId = "SimpleConsumerDemoClient";
}
消息生产者
KafkaProducer
import java.util.Properties;
import kafka.producer.KeyedMessage;
import kafka.producer.ProducerConfig;
public class KafkaProducer extends Thread
{
private final kafka.javaapi.producer.Producerproducer;
private final String topic;
private final Properties props = new Properties();
public KafkaProducer(String topic)
{
props.put("serializer.class", "kafka.serializer.StringEncoder");
props.put("metadata.broker.list","192.168.0.73:9092,192.168.0.74:9092,192.168.0.75:9092");
producer = new kafka.javaapi.producer.Producer(new ProducerConfig(props));
this.topic = topic;
}
@Override
public void run() {
int messageNo = 1;
Long start=new java.util.Date().getTime();
while (true)
{
String messageStr = new String("Message_" + messageNo);
System.out.println("Send:" + messageStr);
producer.send(new KeyedMessage(topic,messageStr));
messageNo++;
try {
sleep(3000);
} catch (InterruptedException e) {
e.printStackTrace();
}
}
}
}
消息消费者
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Properties;
import kafka.consumer.ConsumerConfig;
import kafka.consumer.ConsumerIterator;
import kafka.consumer.KafkaStream;
import
kafka.javaapi.consumer.ConsumerConnector;
/**
*@author leicui bourne_cui@163.com
*/
public class KafkaConsumer extends Thread
{
private final ConsumerConnector consumer;
private final String topic;
public KafkaConsumer(String topic)
{
consumer = kafka.consumer.Consumer.createJavaConsumerConnector(
createConsumerConfig());
this.topic = topic;
}
private static ConsumerConfig createConsumerConfig()
{
Properties props = new Properties();
props.put("zookeeper.connect", KafkaProperties.zkConnect);
props.put("group.id", KafkaProperties.groupId);
props.put("zookeeper.session.timeout.ms", "40000");
props.put("zookeeper.sync.time.ms", "200");
props.put("auto.commit.interval.ms", "1000");
return new ConsumerConfig(props);
}
@Override
public void run() {
Map topicCountMap = new HashMap();
topicCountMap.put(topic, new Integer(1));
Map<String,List<KafkaSteam<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(3000);
} catch (InterruptedException e) {
e.printStackTrace();
}
}
}
}
运行入口：
public class KafkaConsumerProducerDemo {
public static void main(String[] args)
{
KafkaProducer producerThread = new KafkaProducer(KafkaProperties.topic);
producerThread.start();
KafkaConsumer consumerThread = new KafkaConsumer(KafkaProperties.topic);
consumerThread.start();
}
}
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