粒子物理后传之:利用Kafka api开发数据信息队列
kafka是一个分布式的、分区的、多复本的日志提交服务。
现在生产者一端是加速器内粒子束的探测数据,现在服务器需要一个消息队列来管理数据并发布给其他客户端(有可能有很多个,他们每一个可能各取所需)。这样的功能逻辑下我们可以沿用上一篇博客创建的Topic主题”EnengyInfo”来发布粒子能量数据。
使用maven构建java项目
我们需要使用maven构建一个叫Acc的项目,并且需要添加kafka依赖到pom.xml然后编译构建项目来从云端下载依赖包。
(假如下载依赖包速度慢可以自行下载kafka的jar添加到maven本地库路径)
[root@master ]# mvn archetype:generate -DgroupId=com.hanss.acc -DartifactId=Acc -DarchetypeArtifactId=maven-archetype-quickstart -DinteractiveMode=false
[root@master ]# vi pom.xml
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka_2.11</artifactId>
<version>0.8.2.1</version>
</dependency>
[root@master ]# mvn package
利用kafka api编写生产/消费模型
我们采用本地模式,代码拆分为配置代码、生产者代码、消费者代码、主函数入口。
ConfigureAPI.java
package com.hanss.acc;
/**
* @Date Nov 20, 2017
*
* @Author hanss401
*
* @Note Set param path
*/
public class ConfigureAPI {
public interface KafkaProperties {
public final static String ZK = "127.0.0.1:2181,127.0.0.1:2181,127.0.0.1:2181";
public final static String GROUP_ID = "test_group1";
public final static String TOPIC = "testnight";
public final static String BROKER_LIST = "127.0.0.1:9092,127.0.0.1:9092,127.0.0.1:9092";
public final static int BUFFER_SIZE = 64 * 1024;
public final static int TIMEOUT = 20000;
public final static int INTERVAL = 10000;
}
}
JProducer.java
package com.hanss.acc;
import java.util.Properties;
import kafka.javaapi.producer.Producer;
import kafka.producer.KeyedMessage;
import kafka.producer.ProducerConfig;
/**
* @Date Nov 20, 2017
*
* @Author hanss401
*
* @Note Kafka JProducer
*/
public class JProducer extends Thread {
private Producer<Integer, String> producer;
private String topic;
private Properties props = new Properties();
private final int SLEEP = 1000 * 3;
private double num [] = {1217.001,1733.223,569.331,667.824,1217.001,1733.223,569.331,667.824,1217.001,1733.223,569.331,667.824};
public JProducer(String topic) {
props.put("serializer.class", "kafka.serializer.StringEncoder");
props.put("metadata.broker.list", "127.0.0.1:9092");
producer = new Producer<Integer, String>(new ProducerConfig(props));
this.topic = topic;
}
@Override
public void run() {
int offsetNo = 1;
while (true) {
String msg = new String("新增Alpha粒子束:" + num[offsetNo]+" Mev");
System.out.println("发送了消息->[" + msg + "]");
System.out.println("消息主题:粒子信息收集");
producer.send(new KeyedMessage<Integer, String>(topic, msg));
offsetNo++;
if(offsetNo==12)break;
try {
sleep(SLEEP);
} catch (Exception ex) {
ex.printStackTrace();
}
}
}
}
JConsumer.java
package com.hanss.acc;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Properties;
import com.hanss.acc.ConfigureAPI.KafkaProperties;
import kafka.consumer.Consumer;
import kafka.consumer.ConsumerConfig;
import kafka.consumer.ConsumerIterator;
import kafka.consumer.KafkaStream;
import kafka.javaapi.consumer.ConsumerConnector;
/**
* @Date Nov 20, 2017
*
* @Author hanss401
*
* @Note Kafka Consumer
*/
public class JConsumer extends Thread {
private ConsumerConnector consumer;
private String topic;
private final int SLEEP = 1000 * 3;
public JConsumer(String topic) {
consumer = Consumer.createJavaConsumerConnector(this.consumerConfig());
this.topic = topic;
}
private ConsumerConfig consumerConfig() {
Properties props = new Properties();
props.put("zookeeper.connect", KafkaProperties.ZK);
props.put("group.id", KafkaProperties.GROUP_ID);
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<String, Integer> topicCountMap = new HashMap<String, Integer>();
topicCountMap.put(topic, new Integer(1));
Map<String, List<KafkaStream<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("接收到消息->[" + new String(it.next().message()) + "]");
try {
sleep(SLEEP);
} catch (Exception ex) {
ex.printStackTrace();
}
}
}
}
KafkaClient.java
package com.hanss.acc;
import com.hanss.acc.ConfigureAPI.KafkaProperties;
import com.hanss.acc.JConsumer;
import com.hanss.acc.JProducer;
/**
* @Date Nov 20, 2017
*
* @Author hanss401
*
* @Note To run Kafka Code
*/
public class KafkaClient {
public static void main(String[] args) {
JProducer pro = new JProducer(KafkaProperties.TOPIC);
pro.start();
JConsumer con = new JConsumer(KafkaProperties.TOPIC);
con.start();
}
}
编译构建
运行前:确保zookeeper和kafka服务在运行。
[root@master ]# mvn package
... ...
[INFO] BUILD SUCCESS
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 4.218 s
[INFO] Finished at: 2017-11-20T14:22:58+08:00
[INFO] Final Memory: 19M/179M
[INFO] ------------------------------------------------------------------------
[root@master ]# mvn exec:java -Dexec.mainClass="com.hanss.acc.KafkaClient"
[INFO] Scanning for projects...
[INFO]
[INFO] ------------------------------------------------------------------------
[INFO] Building Acc 1.0-SNAPSHOT
[INFO] ------------------------------------------------------------------------
[INFO]
[INFO] --- exec-maven-plugin:1.6.0:java (default-cli) @ Acc ---
log4j:WARN No appenders could be found for logger (kafka.utils.VerifiableProperties).
log4j:WARN Please initialize the log4j system properly.
发送了消息->[新增Alpha粒子束:1733.223 Mev]
消息主题:粒子信息收集
接收到消息->[新增Alpha粒子束:1733.223 Mev]
发送了消息->[新增Alpha粒子束:569.331 Mev]
消息主题:粒子信息收集
接收到消息->[新增Alpha粒子束:569.331 Mev]
发送了消息->[新增Alpha粒子束:667.824 Mev]
消息主题:粒子信息收集
接收到消息->[新增Alpha粒子束:667.824 Mev]
发送了消息->[新增Alpha粒子束:1217.001 Mev]
消息主题:粒子信息收集
接收到消息->[新增Alpha粒子束:1217.001 Mev]