Disruptor、Kafka、Netty如何整合

这篇文章主要介绍了Disruptor、Kafka、Netty如何整合，具有一定借鉴价值，感兴趣的朋友可以参考下，希望大家阅读完这篇文章之后大有收获，下面让小编带着大家一起了解一下。

NETTY应用网关

整个网关的核心是一个netty server，各个应用程序（包括web server，手机app等）连到这个netty server上请求数据；关于数据来源，需要监听多个kafka topic（而且这里的topic是可变的，也就是说需要kafka consumer的动态开始和停止），之后需要把所有这些topic的数据整合在一起，通过channel发送给客户端应用程序。

数据流图

源码

下面把大部分的代码贴出来，有需要的同学可以参考。会对关键的技术点进行说明，偏业务部分大家自行忽略吧。

main函数

启动disruptor；监听一个固定的topic，把获取到的msg，交给ConsumerProcessorGroup来完成kafka consumer的创建和停止。

public static void main(String[] args) {
DisruptorHelper.getInstance().start();
Properties props = ConsumerProps.getConsumerProps();
KafkaConsumer consumer = new KafkaConsumer(props);
consumer.subscribe(Arrays.asList("uavlst"));
while (true) {
ConsumerRecords records = consumer.poll(100);
ConsumerRecord lastRecord = null;
for (ConsumerRecord record : records)
lastRecord = record;

if (lastRecord != null){
ConsumerProcessorGroup.getInstance().recieveNewUavLst(lastRecord.value());
}
}
}

DisruptorHelper

DisruptorHelper是一个单例，主要是包含了一个disruptor 对象，在new这个对象的时候，用到了ProducerType.MULTI和new BlockingWaitStrategy()，其中前者意味着我们需要多个producer共同来工作，后者其实是默认的producer的等待策略，后续根据实际情况进行调整。

public class DisruptorHelper {
private static DisruptorHelper instance = null;

public static DisruptorHelper getInstance() {
if (instance == null) {
instance = new DisruptorHelper();
}
return instance;
}

private final int BUFFER_SIZE = 1024;
private Disruptor disruptor = null;

private DisruptorHelper() {
MsgEventHandler eventHandler = new MsgEventHandler();
disruptor = new Disruptor(new MsgEventFactory(), BUFFER_SIZE, new ConsumerThreadFactory(), ProducerType.MULTI, new BlockingWaitStrategy());
disruptor.handleEventsWith(eventHandler);
}

public void start() {
disruptor.start();
}

public void shutdown() {
disruptor.shutdown();
}

public void produce(ConsumerRecord record) {
RingBuffer ringBuffer = disruptor.getRingBuffer();
long sequence = ringBuffer.next();
try {
ringBuffer.get(sequence).setRecord(record);
} finally {
ringBuffer.publish(sequence);
}
}
}

ConsumerProcessorGroup

ConsumerProcessorGroup是一个单例，当中包含一个fixedThreadPool，动态的启动线程来进行kafka topic的消费。

public class ConsumerProcessorGroup {
private static ConsumerProcessorGroup instance = null;

public static ConsumerProcessorGroup getInstance(){
if (instance == null){
instance = new ConsumerProcessorGroup();
}
return instance;
}

private ConsumerProcessorGroup() {

}

private ExecutorService fixedThreadPool = Executors.newFixedThreadPool(20);

public List uavIDLst = new Vector();

public void recieveNewUavLst(String uavIDs){
List newUavIDs = Arrays.asList(uavIDs.split(","));
for (String uavID : newUavIDs){
if (!uavIDLst.contains(uavID)){
fixedThreadPool.execute(new ConsumerThread(uavID));
uavIDLst.add(uavID);
}
}
List tmpLstForDel = new ArrayList();
for (String uavID : uavIDLst){
if (!newUavIDs.contains(uavID)){
tmpLstForDel.add(uavID);
}
}
uavIDLst.removeAll(tmpLstForDel);
}
}

ConsumerThread

对kafka topic进行消费，通过DisruptorHelper将获取的record写入disruptor的ring buffer当中。

public class ConsumerThread implements Runnable {
private String uavID;

public ConsumerThread(String uavID) {
this.uavID = uavID;
}

public void run() {
Properties props = ConsumerProps.getConsumerProps();
KafkaConsumer consumer = new KafkaConsumer(props);
consumer.subscribe(Arrays.asList(uavID));
System.out.println(uavID + " consumer started! Current thread id is " + Thread.currentThread().getId());
while (ConsumerProcessorGroup.getInstance().uavIDLst.contains(uavID)) {
ConsumerRecords records = consumer.poll(100);
for (ConsumerRecord record : records){
DisruptorHelper.getInstance().produce(record);
}
}
System.out.println(uavID + " consumer finished! Current thread id is " + Thread.currentThread().getId());
}
}

MsgEventHandler

Disruptor的消费者，依次从Ring Buffer当中读取数据并执行相应的处理。

public class MsgEventHandler implements EventHandler {
private Map converterMap;

public void onEvent(MsgEvent event, long sequence, boolean endOfBatch) throws Exception {
ConsumerRecord record = event.getRecord();
System.out.printf("topic = %s, part = %d, offset = %d, key = %s, value = %s \n\r", record.topic(), record.partition(), record.offset(), record.key(), record.value());
}
}

感谢你能够认真阅读完这篇文章，希望小编分享的"Disruptor、Kafka、Netty如何整合"这篇文章对大家有帮助，同时也希望大家多多支持，关注行业资讯频道，更多相关知识等着你来学习!