说一句MMB,
一下午时间,
package cn.tbnb1.seckil.quene; import java.util.concurrent.ArrayBlockingQueue;
import java.util.concurrent.Callable; import javax.servlet.ServletContextEvent;
import javax.servlet.ServletContextListener;
import javax.servlet.http.HttpServletRequest; import org.springframework.context.ApplicationContext;
import org.springframework.web.context.WebApplicationContext;
import org.springframework.web.context.support.WebApplicationContextUtils; import cn.tbnb1.common.utils.CommonConstant;
import cn.tbnb1.model.Goods;
import cn.tbnb1.service.redis.ICacheService;
import cn.tbnb1.utils.SpringContextUtil; /**
* 执行请求的工作线程
* @author Administrator
*
*/ public class RequestProcessorThread implements Callable<Boolean> { /**
* 自己监控的内存队列
*/
private ArrayBlockingQueue<HttpServletRequest> queue;
public RequestProcessorThread(ArrayBlockingQueue<HttpServletRequest> queue) {
this.queue = queue; } @Override
public Boolean call() throws Exception {
try {
while(true) {
// ArrayBlockingQueue
// Blocking就是说明,如果队列满了,或者是空的,那么都会在执行操作的时候,阻塞住
HttpServletRequest request = queue.take();
synchronized (this) {
ICacheService redisCacheService=(ICacheService)SpringContextUtil.getBean("redisCacheService");
String itemId= request.getParameter("id");//商品id
Long res= redisCacheService.get(CommonConstant.ITEMS_STORE+7, Long.class);
if(res<=0L){//结束秒杀
redisCacheService.set(CommonConstant.QUEUE_SISZE,0L,10000);
// queue.clear();
// return true; 这句话 给自己挖的坑 ,首先我自己是这样想的 ,结束秒杀不就 return 掉,mmb 这样好了,call直接停止了,导致请求的线程全部hodl在这里了, }else{
Long subtract = redisCacheService.subtract(CommonConstant.ITEMS_STORE+7);//库存
Goods goods = redisCacheService.get("7", Goods.class); String uid = (String)request.getAttribute("Sessionid");
System.out.println("===========抢购结果===========: "+"小菜菜抢购"+goods.toString());
redisCacheService.subtract(CommonConstant.QUEUE_SISZE);
}
}
}
} catch (Exception e) {
e.printStackTrace();
}
return true;
} }