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jdk:1.6.0_25 64位
kafka:2.9.2-0.8.2.1
kafka 官方下载地址 http://apache.fayea.com/kafka/0.8.2.1/kafka_2.9.2-0.8.2.1.tgz
tar -zxvf kafka_2.9.2-0.8.2.1.tgz -C /usr/local/ && mv kafka_2.9.2-0.8.2.1 kafka
cd /usr/local/kafka
vi config/zookeeper.properties
dataDir=/usr/local/kafka/zookeeper
vi config/server.properties
broker.id=0
port=9092
hostname=192.168.194.110
log.dirs=/usr/local/kafka/kafka-logs
zookeeper.connect=192.168.194.110:2181
启动zookeeper
bin/zookeeper-server-start.sh config/zookeeper.properties
启动kafka broker
bin/kafka-server-start.sh config/server.properties &
查看启动状态
jps
14867 QuorumPeerMain ###存在代表zookeeper服务启动正常
14919 Kafka ###代表kafka broker启动成功
关闭防火墙
service iptables stop
单机版kafka producer consumer 消息发送和接收测试
bin/kafka-console-producer.sh --broker-list 192.168.194.110:9092 --topic test ###启动producer
bin/kafka-console-consumer.sh --zookeeper 192.168.194.110:2181 --topic test --from-beginning
然后在producer端 输入需要发送的msg内容 回车 看consumer端是否接收到消息
[2015-09-11 13:58:00,470] ERROR Error in handling batch of 1 events (kafka.producer.async.ProducerSendThread)
kafka.common.FailedToSendMessageException: Failed to send messages after 3 tries.
at kafka.producer.async.DefaultEventHandler.handle(DefaultEventHandler.scala:90)
at kafka.producer.async.ProducerSendThread.tryToHandle(ProducerSendThread.scala:105)
at kafka.producer.async.ProducerSendThread$$anonfun$processEvents$3.apply(ProducerSendThread.scala:88)
at kafka.producer.async.ProducerSendThread$$anonfun$processEvents$3.apply(ProducerSendThread.scala:68)
at scala.collection.immutable.Stream.foreach(Stream.scala:526)
at kafka.producer.async.ProducerSendThread.processEvents(ProducerSendThread.scala:67)at kafka.producer.async.ProducerSendThread.run(ProducerSendThread.scala:45)
producer端出现此异常 请将producer监听的broker 使用ip地址 不要用localhost
到此 单机版kafka已搭建并测试成功了
使用java来调用kafka的producer发消息和consumer来发消息
maven添加依赖
1 <dependency>
2 <groupId>org.apache.kafka</groupId>
3 <artifactId>kafka_2.10</artifactId>
4 <version>0.8.2.0</version>
5 </dependency>
kafka消息生产者KafkaProducer
import java.util.Date;
import java.util.Properties;
import java.util.Random;
import kafka.javaapi.producer.Producer;
import kafka.producer.KeyedMessage;
import kafka.producer.ProducerConfig;
public class KafkaProducer extends Thread {
public static void main(String[] args) {
Properties props = new Properties();
props.put("metadata.broker.list", "192.168.194.110:9092");
props.put("serializer.class", "kafka.serializer.StringEncoder");
props.put("key.serializer.class", "kafka.serializer.StringEncoder");
props.put("request.required.acks", "1");
//配置key的序列化类
ProducerConfig config = new ProducerConfig(props);
Producer<String, String> producer = new Producer<String, String>(config);
Random rnd = new Random();
long runtime = new Date().getTime();
String ip = "192.168.2." + rnd.nextInt(255);
String msg = runtime + ",www.example.com," + ip;
KeyedMessage<String, String> data = new KeyedMessage<String, String>("test", "test-key",msg);
producer.send(data);
}
}
kafka消息消费者 KafkaConsumer
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;
import kafka.serializer.StringDecoder;
import kafka.utils.VerifiableProperties;
public class KafkaConsumer{
private static ConsumerConnector consumer = null;
public static void main(String[] args) {
Properties props = new Properties();
//zookeeper 配置
props.put("zookeeper.connect", "192.168.194.110:2181");
//group 代表一个消费组
props.put("group.id", "jd-group");
//zk连接超时
props.put("zookeeper.session.timeout.ms", "4000");
props.put("zookeeper.sync.time.ms", "200");
props.put("auto.commit.interval.ms", "1000");
props.put("auto.offset.reset", "smallest");
//序列化类
props.put("serializer.class", "kafka.serializer.StringEncoder");
ConsumerConfig config = new ConsumerConfig(props);
consumer = kafka.consumer.Consumer.createJavaConsumerConnector(config);
Map<String, Integer> topicCountMap = new HashMap<String, Integer>();
topicCountMap.put("test", new Integer(1));
StringDecoder keyDecoder = new StringDecoder(new VerifiableProperties());
StringDecoder valueDecoder = new StringDecoder(new VerifiableProperties());
Map<String, List<KafkaStream<String, String>>> consumerMap =
consumer.createMessageStreams(topicCountMap,keyDecoder,valueDecoder);
KafkaStream<String, String> stream = consumerMap.get("test").get(0);
ConsumerIterator<String, String> it = stream.iterator();
while (it.hasNext())
System.out.println(it.next().message());
}
}
分别启动producer 和consumer 即可进行简单的消息发送和接收
结果：
log4j:WARN No appenders could be found for logger (kafka.utils.VerifiableProperties).
log4j:WARN Please initialize the log4j system properly.
log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig for more info.
1441952197141,www.example.com,192.168.2.86
kafka安装以及入门demo
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原文地址：http://www.cnblogs.com/hxy520/p/4800787.html
