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这篇文章给大家分享的是有关spring与disruptor集成的示例分析的内容。小编觉得挺实用的，因此分享给大家做个参考，一起跟随小编过来看看吧。
disruptor不过多介绍了,描述下当前的业务场景,两个应用A,B,应用 A 向应用 B 传递数据 . 数据传送比较快,如果用http直接push数据然后入库,效率不高.有可能导致A应用比较大的压力. 使用mq 太重量级,所以选择了disruptor. 也可以使用Reactor
BaseQueueHelper.java
/**
* lmax.disruptor 高效队列处理模板. 支持初始队列，即在init()前进行发布。
*
* 调用init()时才真正启动线程开始处理 系统退出自动清理资源.
*
* @author xielongwang
* @create 2018-01-18 下午3:49
* @email xielong.wang@nvr-china.com
* @description
*/
public abstract class BaseQueueHelper<D, E extends ValueWrapper<D>, H extends WorkHandler<E>> {
/**
* 记录所有的队列，系统退出时统一清理资源
*/
private static List<BaseQueueHelper> queueHelperList = new ArrayList<BaseQueueHelper>();
/**
* Disruptor 对象
*/
private Disruptor<E> disruptor;
/**
* RingBuffer
*/
private RingBuffer<E> ringBuffer;
/**
* initQueue
*/
private List<D> initQueue = new ArrayList<D>();
/**
* 队列大小
*
* @return 队列长度，必须是2的幂
*/
protected abstract int getQueueSize();
/**
* 事件工厂
*
* @return EventFactory
*/
protected abstract EventFactory<E> eventFactory();
/**
* 事件消费者
*
* @return WorkHandler[]
*/
protected abstract WorkHandler[] getHandler();
/**
* 初始化
*/
public void init() {
ThreadFactory namedThreadFactory = new ThreadFactoryBuilder().setNameFormat("DisruptorThreadPool").build();
disruptor = new Disruptor<E>(eventFactory(), getQueueSize(), namedThreadFactory, ProducerType.SINGLE, getStrategy());
disruptor.setDefaultExceptionHandler(new MyHandlerException());
disruptor.handleEventsWithWorkerPool(getHandler());
ringBuffer = disruptor.start();
//初始化数据发布
for (D data : initQueue) {
ringBuffer.publishEvent(new EventTranslatorOneArg<E, D>() {
@Override
public void translateTo(E event, long sequence, D data) {
event.setValue(data);
}
}, data);
}
//加入资源清理钩子
synchronized (queueHelperList) {
if (queueHelperList.isEmpty()) {
Runtime.getRuntime().addShutdownHook(new Thread() {
@Override
public void run() {
for (BaseQueueHelper baseQueueHelper : queueHelperList) {
baseQueueHelper.shutdown();
}
}
});
}
queueHelperList.add(this);
}
}
/**
* 如果要改变线程执行优先级，override此策略. YieldingWaitStrategy会提高响应并在闲时占用70%以上CPU，
* 慎用SleepingWaitStrategy会降低响应更减少CPU占用，用于日志等场景.
*
* @return WaitStrategy
*/
protected abstract WaitStrategy getStrategy();
/**
* 插入队列消息，支持在对象init前插入队列，则在队列建立时立即发布到队列处理.
*/
public synchronized void publishEvent(D data) {
if (ringBuffer == null) {
initQueue.add(data);
return;
}
ringBuffer.publishEvent(new EventTranslatorOneArg<E, D>() {
@Override
public void translateTo(E event, long sequence, D data) {
event.setValue(data);
}
}, data);
}
/**
* 关闭队列
*/
public void shutdown() {
disruptor.shutdown();
}
}EventFactory.java
/**
* @author xielongwang
* @create 2018-01-18 下午6:24
* @email xielong.wang@nvr-china.com
* @description
*/
public class EventFactory implements com.lmax.disruptor.EventFactory<SeriesDataEvent> {
@Override
public SeriesDataEvent newInstance() {
return new SeriesDataEvent();
}
}MyHandlerException.java
public class MyHandlerException implements ExceptionHandler {
private Logger logger = LoggerFactory.getLogger(MyHandlerException.class);
/*
* (non-Javadoc) 运行过程中发生时的异常
*
* @see
* com.lmax.disruptor.ExceptionHandler#handleEventException(java.lang.Throwable
* , long, java.lang.Object)
*/
@Override
public void handleEventException(Throwable ex, long sequence, Object event) {
ex.printStackTrace();
logger.error("process data error sequence ==[{}] event==[{}] ,ex ==[{}]", sequence, event.toString(), ex.getMessage());
}
/*
* (non-Javadoc) 启动时的异常
*
* @see
* com.lmax.disruptor.ExceptionHandler#handleOnStartException(java.lang.
* Throwable)
*/
@Override
public void handleOnStartException(Throwable ex) {
logger.error("start disruptor error ==[{}]!", ex.getMessage());
}
/*
* (non-Javadoc) 关闭时的异常
*
* @see
* com.lmax.disruptor.ExceptionHandler#handleOnShutdownException(java.lang
* .Throwable)
*/
@Override
public void handleOnShutdownException(Throwable ex) {
logger.error("shutdown disruptor error ==[{}]!", ex.getMessage());
}
}SeriesData.java (代表应用A发送给应用B的消息)
public class SeriesData {
private String deviceInfoStr;
public SeriesData() {
}
public SeriesData(String deviceInfoStr) {
this.deviceInfoStr = deviceInfoStr;
}
public String getDeviceInfoStr() {
return deviceInfoStr;
}
public void setDeviceInfoStr(String deviceInfoStr) {
this.deviceInfoStr = deviceInfoStr;
}
@Override
public String toString() {
return "SeriesData{" +
"deviceInfoStr='" + deviceInfoStr + '\'' +
'}';
}
}SeriesDataEvent.java
public class SeriesDataEvent extends ValueWrapper<SeriesData> {
}SeriesDataEventHandler.java
public class SeriesDataEventHandler implements WorkHandler<SeriesDataEvent> {
private Logger logger = LoggerFactory.getLogger(SeriesDataEventHandler.class);
@Autowired
private DeviceInfoService deviceInfoService;
@Override
public void onEvent(SeriesDataEvent event) {
if (event.getValue() == null || StringUtils.isEmpty(event.getValue().getDeviceInfoStr())) {
logger.warn("receiver series data is empty!");
}
//业务处理
deviceInfoService.processData(event.getValue().getDeviceInfoStr());
}
}SeriesDataEventQueueHelper.java
@Component
public class SeriesDataEventQueueHelper extends BaseQueueHelper<SeriesData, SeriesDataEvent, SeriesDataEventHandler> implements InitializingBean {
private static final int QUEUE_SIZE = 1024;
@Autowired
private List<SeriesDataEventHandler> seriesDataEventHandler;
@Override
protected int getQueueSize() {
return QUEUE_SIZE;
}
@Override
protected com.lmax.disruptor.EventFactory eventFactory() {
return new EventFactory();
}
@Override
protected WorkHandler[] getHandler() {
int size = seriesDataEventHandler.size();
SeriesDataEventHandler[] paramEventHandlers = (SeriesDataEventHandler[]) seriesDataEventHandler.toArray(new SeriesDataEventHandler[size]);
return paramEventHandlers;
}
@Override
protected WaitStrategy getStrategy() {
return new BlockingWaitStrategy();
//return new YieldingWaitStrategy();
}
@Override
public void afterPropertiesSet() throws Exception {
this.init();
}
}ValueWrapper.java
public abstract class ValueWrapper<T> {
private T value;
public ValueWrapper() {}
public ValueWrapper(T value) {
this.value = value;
}
public T getValue() {
return value;
}
public void setValue(T value) {
this.value = value;
}
}DisruptorConfig.java
@Configuration
@ComponentScan(value = {"com.portal.disruptor"})
//多实例几个消费者
public class DisruptorConfig {
/**
* smsParamEventHandler1
*
* @return SeriesDataEventHandler
*/
@Bean
public SeriesDataEventHandler smsParamEventHandler1() {
return new SeriesDataEventHandler();
}
/**
* smsParamEventHandler2
*
* @return SeriesDataEventHandler
*/
@Bean
public SeriesDataEventHandler smsParamEventHandler2() {
return new SeriesDataEventHandler();
}
/**
* smsParamEventHandler3
*
* @return SeriesDataEventHandler
*/
@Bean
public SeriesDataEventHandler smsParamEventHandler3() {
return new SeriesDataEventHandler();
}
/**
* smsParamEventHandler4
*
* @return SeriesDataEventHandler
*/
@Bean
public SeriesDataEventHandler smsParamEventHandler4() {
return new SeriesDataEventHandler();
}
/**
* smsParamEventHandler5
*
* @return SeriesDataEventHandler
*/
@Bean
public SeriesDataEventHandler smsParamEventHandler5() {
return new SeriesDataEventHandler();
}
}测试
//注入SeriesDataEventQueueHelper消息生产者
@Autowired
private SeriesDataEventQueueHelper seriesDataEventQueueHelper;
@RequestMapping(value = "/data", method = RequestMethod.POST, produces = MediaType.APPLICATION_JSON_VALUE)
public DataResponseVo<String> receiverDeviceData(@RequestBody String deviceData) {
long startTime1 = System.currentTimeMillis();
if (StringUtils.isEmpty(deviceData)) {
logger.info("receiver data is empty !");
return new DataResponseVo<String>(400, "failed");
}
seriesDataEventQueueHelper.publishEvent(new SeriesData(deviceData));
long startTime2 = System.currentTimeMillis();
logger.info("receiver data ==[{}] millisecond ==[{}]", deviceData, startTime2 - startTime1);
return new DataResponseVo<String>(200, "success");
}应用A通过/data 接口把数据发送到应用B ,然后通过seriesDataEventQueueHelper 把消息发给disruptor队列,消费者去消费,整个过程对不会堵塞应用A. 可接受消息丢失, 可以通过扩展SeriesDataEventQueueHelper来达到对disruptor队列的监控
感谢各位的阅读！关于“spring与disruptor集成的示例分析”这篇文章就分享到这里了，希望以上内容可以对大家有一定的帮助，让大家可以学到更多知识，如果觉得文章不错，可以把它分享出去让更多的人看到吧！
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