Java芋道源码 2019-06-11 21:16:44
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。
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。
关于Redis 分布式锁
这里只贴出 AOP 类和测试类,完整代码见 ==> Gitee
@Aspect @Component public class RepeatSubmitAspect { private final static Logger LOGGER = LoggerFactory.getLogger(RepeatSubmitAspect.class); @Autowired private RedisLock redisLock; @Pointcut("@annotation(noRepeatSubmit)") public void pointCut(NoRepeatSubmit noRepeatSubmit) { } @Around("pointCut(noRepeatSubmit)") public Object around(ProceedingJoinPoint pjp, NoRepeatSubmit noRepeatSubmit) throws Throwable { int lockSeconds = noRepeatSubmit.lockTime(); 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, lockSeconds); if (isSuccess) { LOGGER.info("tryLock success, key = [{}], clientId = [{}]", key, clientId); // 获取锁成功, 执行进程 Object result; try { result = pjp.proceed(); } finally { // 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 ResultBean(ResultBean.FAIL, "重复请求,请稍后再试", null); } } private String getKey(String token, String path) { return token + path; } private String getClientId() { return UUID.randomUUID().toString(); } }
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
来源:http://t.cn/E6GsfcV
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