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.shconfig/server.properties>/dev/null2>&1&
4创建主题
bin/kafka-topics.sh--create--zookeeperlocalhost:2181--replication-factor3--partitions3--topictest
5查看主题详细
bin/kafka-topics.sh--describe--zookeeperlocalhost:2181--topictest
--topictest
Topic:testPartitionCount:3ReplicationFactor:3Configs:
Topic:testPartition:0Leader:110Replicas:110,111,112Isr:110,111,112
Topic:testPartition:1Leader:111Replicas:111,112,110Isr:111,112,110
Topic:testPartition:2Leader:112Replicas:112,110,111Isr: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:
Java代码
1创建maven工程,pom.xml中增加如下:
org.apache.kafka
kafka_2.10
0.8.2.0
2java代码:向主题test内写入数据
importjava.util.Properties;
importjava.util.concurrent.TimeUnit;
importkafka.javaapi.producer.Producer;
importkafka.producer.KeyedMessage;
importkafka.producer.ProducerConfig;
importkafka.serializer.StringEncoder;
publicclasskafkaProducerextendsThread{
privateStringtopic;
publickafkaProducer(Stringtopic){
super();
this.topic=topic;
}
@Override
publicvoidrun(){
Producerproducer=createProducer();
inti=0;
while(true){
producer.send(newKeyedMessage(topic,"message:"+i++));
try{
TimeUnit.SECONDS.sleep(1);
}catch(InterruptedExceptione){
e.printStackTrace();
}
}
}
privateProducercreateProducer(){
Propertiesproperties=newProperties();
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kafkabroker
returnnewProducer(newProducerConfig(properties));
}
publicstaticvoidmain(String[]args){
newkafkaProducer("test").start();//使用kafka集群中创建好的主题test
}
}
3kafka集群中消费主题test的数据:
[root@h2masterkafka]#bin/kafka-console-consumer.sh--zookeeperlocalhost:2181--topictest--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:
Java代码
importjava.util.HashMap;
importjava.util.List;
importjava.util.Map;
importjava.util.Properties;
importkafka.consumer.Consumer;
importkafka.consumer.ConsumerConfig;
importkafka.consumer.ConsumerIterator;
importkafka.consumer.KafkaStream;
importkafka.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
*@authorzm
*
*/
publicclasskafkaConsumerextendsThread{
privateStringtopic;
publickafkaConsumer(Stringtopic){
super();
this.topic=topic;
}
@Override
publicvoidrun(){
ConsumerConnectorconsumer=createConsumer();
MaptopicCountMap=newHashMap();
topicCountMap.put(topic,1);//一次从主题中获取一个数据
Map>>messageStreams=consumer.createMessageStreams(topicCountMap);
KafkaStreamstream=messageStreams.get(topic).get(0);//获取每次接收到的这个数据
ConsumerIteratoriterator=stream.iterator();
while(iterator.hasNext()){
Stringmessage=newString(iterator.next().message());
System.out.println("接收到:"+message);
}
}
privateConsumerConnectorcreateConsumer(){
Propertiesproperties=newProperties();
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
returnConsumer.createJavaConsumerConnector(newConsumerConfig(properties));
}
publicstaticvoidmain(String[]args){
newkafkaConsumer("test").start();//使用kafka集群中创建好的主题test
}
}