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在传统的web项目中,防止重复提交,通常做法是:后端生成一个唯一的提交令牌(uuid),并存储在服务端。页面提交请求携带这个提交令牌,后端验证并在第一次验证后删除该令牌,保证提交请求的唯一性。
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上述的思路其实没有问题的,但是需要前后端都稍加改动,如果在业务开发完在加这个的话,改动量未免有些大了,本节的实现方案无需前端配合,纯后端处理。
思路
关于Redis 分布式锁
不了解的同学戳这里 ==> Redis分布式锁的正确实现方式
使用Redis 是为了在负载均衡部署,如果是单机的部署的项目可以使用一个线程安全的本地Cache 替代 Redis
Code
这里只贴出 AOP 类和测试类,完整代码见 ==> Gitee
@Aspect @Component public class RepeatSubmitAspect { private static final Logger LOGGER = LoggerFactory.getLogger(RepeatSubmitAspect.class); @Autowired private RedisLock redisLock; @Pointcut("@annotation(com.gitee.taven.aop.NoRepeatSubmit)") public void pointCut() {} @Around("pointCut()") public Object before(ProceedingJoinPoint pjp) { try { HttpServletRequest request = RequestUtils.getRequest(); Assert.notNull(request, "request can not null"); // 此处可以用token或者JSessionId String token = request.getHeader("Authorization"); String path = request.getServletPath(); String key = getKey(token, path); String clientId = getClientId(); boolean isSuccess = redisLock.tryLock(key, clientId, 10); LOGGER.info("tryLock key = [{}], clientId = [{}]", key, clientId); if (isSuccess) { LOGGER.info("tryLock success, key = [{}], clientId = [{}]", key, clientId); // 获取锁成功, 执行进程 Object result = pjp.proceed(); // 解锁 redisLock.releaseLock(key, clientId); LOGGER.info("releaseLock success, key = [{}], clientId = [{}]", key, clientId); return result; } else { // 获取锁失败,认为是重复提交的请求 LOGGER.info("tryLock fail, key = [{}]", key); return new ApiResult(200, "重复请求,请稍后再试", null); } } catch (Throwable throwable) { throwable.printStackTrace(); } return new ApiResult(500, "系统异常", null); } private String getKey(String token, String path) { return token + path; } private String getClientId() { return UUID.randomUUID().toString(); } }
多线程测试
测试代码如下,模拟十个请求并发同时提交
@Component public class RunTest implements ApplicationRunner { private static final Logger LOGGER = LoggerFactory.getLogger(RunTest.class); @Autowired private RestTemplate restTemplate; @Override public void run(ApplicationArguments args) throws Exception { System.out.println("执行多线程测试"); String url="http://localhost:8000/submit"; CountDownLatch countDownLatch = new CountDownLatch(1); ExecutorService executorService = Executors.newFixedThreadPool(10); for(int i=0; i<10; i++){ String userId = "userId" + i; HttpEntity request = buildRequest(userId); executorService.submit(() -> { try { countDownLatch.await(); System.out.println("Thread:"+Thread.currentThread().getName()+", time:"+System.currentTimeMillis()); ResponseEntityresponse = restTemplate.postForEntity(url, request, String.class); System.out.println("Thread:"+Thread.currentThread().getName() + "," + response.getBody()); } catch (InterruptedException e) { e.printStackTrace(); } }); } countDownLatch.countDown(); } private HttpEntity buildRequest(String userId) { HttpHeaders headers = new HttpHeaders(); headers.setContentType(MediaType.APPLICATION_JSON); headers.set("Authorization", "yourToken"); Map body = new HashMap<>(); body.put("userId", userId); return new HttpEntity<>(body, headers); } }
成功防止重复提交,控制台日志如下,可以看到十个线程的启动时间几乎同时发起,只有一个请求提交成功了
本节demo
戳这里 ==> Gitee
build项目之后,启动本地redis,运行项目自动执行测试方法
以上就是本文的全部内容,希望对大家的学习有所帮助,也希望大家多多支持创新互联。