kafka使用实例

定义一个procucer

package cn.vko.common.kafka;

import java.util.Properties;

import org.apache.commons.lang3.StringUtils;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory; import cn.vko.common.utils.mybatis.GenCreateInterceptor; import kafka.javaapi.producer.Producer;
import kafka.producer.KeyedMessage;
import kafka.producer.ProducerConfig; public class VkoProducer {
// private Logger log = LoggerFactory.getLogger(VkoProducer.class);
private String metadataBrokerList;
private Producer<String, String> producer; public VkoProducer(String metadataBrokerList) {
super();
if(StringUtils.isEmpty(metadataBrokerList)){
String message = "metadataBrokerList 不可以为空";
// log.error(message);
throw new RuntimeException(message);
}
this.metadataBrokerList = metadataBrokerList;
// 设置配置属性
Properties props = new Properties();
props.put("metadata.broker.list", metadataBrokerList);
props.put("serializer.class", "kafka.serializer.StringEncoder");
props.put("key.serializer.class", "kafka.serializer.StringEncoder");
props.put("request.required.acks", "1");
//props.put("producer.type", "async");
props.put("queue.buffering.max.ms", "5000");
props.put("queue.buffering.max.messages", "30000");
props.put("queue.enqueue.timeout.ms", "-1");
props.put("batch.num.messages", "1");
// 可选配置,如果不配置,则使用默认的partitioner
//props.put("partitioner.class", "cn.vko.kafka.PartitionerDemo");
// 触发acknowledgement机制,否则是fire and forget,可能会引起数据丢失
// 值为0,1,-1,可以参考
// http://kafka.apache.org/08/configuration.html
ProducerConfig config = new ProducerConfig(props);
producer = new Producer<String, String>(config);
} /**
* 单条插入队列
* @param msg
* @param topic 主题
* @return
*/
public String send(String topic, String msg) {
// Long start = System.currentTimeMillis();
KeyedMessage<String, String> data = new KeyedMessage<String, String>(topic, msg);
producer.send(data);
// log.info("发送消息耗时:{}",System.currentTimeMillis()- start);
return "ok";
}
}

定义一个receiver

package cn.vko.common.kafka;

import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Properties; import org.slf4j.Logger;
import org.slf4j.LoggerFactory; import cn.vko.common.utils.mybatis.GenCreateInterceptor;
import cn.vko.component.pageframework.util.StringUtil; import kafka.consumer.Consumer;
import kafka.consumer.ConsumerConfig;
import kafka.consumer.ConsumerIterator;
import kafka.consumer.KafkaStream;
import kafka.javaapi.consumer.ConsumerConnector; public class Receiver {
private Logger log = LoggerFactory.getLogger(Receiver.class);
private String zookeeperConnect;
private String groupId;
private String topic;
private VkoConsumer vkoConsumer; /**
* 创建收件人
* @param zookeeperConnect zk集群地址,逗号分隔
* @param groupId 组id
* @param topic 主题
* @param vkoConsumer 处理器
*/
public Receiver(String zookeeperConnect, String groupId, String topic,VkoConsumer vkoConsumer) {
super();
if(StringUtil.isEmpty(zookeeperConnect)){
String message = "zookeeperConnect 不可以为空";
log.error(message);
throw new RuntimeException(message);
}
if(StringUtil.isEmpty(groupId)){
String message = "groupId 不可以为空";
log.error(message);
throw new RuntimeException(message);
}
if(StringUtil.isEmpty(topic)){
String message = "topic 不可以为空";
log.error(message);
throw new RuntimeException(message);
}
if(vkoConsumer == null){
String message = "vkoConsumer 不可以为空";
log.error(message);
throw new RuntimeException(message);
}
this.zookeeperConnect = zookeeperConnect;
this.groupId = groupId;
this.topic = topic;
this.vkoConsumer = vkoConsumer;
log.info("kafka vkoConsumer 创建完成:groupId:{},topic:{},zookeeperConnect:{}",groupId, topic, zookeeperConnect);
receive();
} private void receive(){
Properties props = new Properties();
props.put("zookeeper.connect", zookeeperConnect);
props.put("group.id", groupId);
props.put("zookeeper.session.timeout.ms", "14000");
props.put("zookeeper.sync.time.ms", "200");
props.put("auto.commit.interval.ms", "1000");
ConsumerConfig conf = new ConsumerConfig(props);
ConsumerConnector cc = Consumer.createJavaConsumerConnector(conf);
Map<String, Integer> topicCountMap = new HashMap<String, Integer>();
// 目前每个topic都是2个分区
topicCountMap.put(topic,2);
Map<String, List<KafkaStream<byte[], byte[]>>> consumerMap = cc.createMessageStreams(topicCountMap);
List<KafkaStream<byte[], byte[]>> streams = consumerMap.get(topic);
for (final KafkaStream<byte[], byte[]> stream : streams) {
new Thread(){
public void run(){
ConsumerIterator<byte[], byte[]> it = stream.iterator();
while(it.hasNext()){
String msg = new String(it.next().message());
try{
vkoConsumer.dealMsg(msg);
}catch(Exception e){
log.error("kafka vkoConsumer topic:{} 收到消息:{} 消费异常 xxxxxxxxxxxxxxxxxx", topic, msg,e);
}
log.info("kafka vkoConsumer topic:{} 收到消息:{}", topic, msg);
}
}
}.start();
log.info("kafka vkoConsumer 启动完成:groupId:{},topic:{},zookeeperConnect:{}",groupId, topic, zookeeperConnect);
}
log.info("kafka vkoConsumer 准备接收消息:groupId:{},topic:{},zookeeperConnect:{}",groupId, topic, zookeeperConnect);
}
}
package cn.vko.common.kafka;

public interface VkoConsumer {
public void dealMsg(String strings);
}

在需要consumer的程序中定义一个消费实现类,并注入到receiver中,这样spring容器启动时会自动创建一个receiver,进行对特定的topic消费

<!-- 定义消息处理器 -->
<bean id="sellStatConsumer" class="cn.vko.sell.kafka.consumer.SellStatConsumer" ></bean> <!-- 定义收信人 receiver -->
<bean id="sellStatReceiver" class="cn.vko.common.kafka.Receiver"> <constructor-arg index="0" value="${zookeeper.connect}" /><!-- _zookeeper集群地址,如: zkserver1.vko.cn:2181,zkserver2.vko.cn:2181,zkserver3.vko.cn:2181_--> <constructor-arg index="1" value="${sellstat.group.id}" /><!-- _消费者所属组id字符串 ,如:vko_group_article_read_count_--> <constructor-arg index="2" value="${kafka.sellstat.topics}"/><!-- _要消费的消息主题,如:vko_group_--> <constructor-arg index="3" ref="sellStatConsumer" /> <!--_上面定义的消息处理器_-->
</bean>
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