当前端按连续请求多次，请求过于频繁或者是多次重复提交数据，对系统或者是数据造成了一点的损害。
为了解决这个问题，下面介绍了一种简易的解决方法：
步骤一、写限制注解
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import java.lang.annotation.ElementType;import java.lang.annotation.Retention;import java.lang.annotation.RetentionPolicy;import java.lang.annotation.Target; /** * @Author Minco * @Date 16:04 2020-08-13 * @Description 不重复提交注解 */ @Target(ElementType.METHOD) // 作用到方法上@Retention(RetentionPolicy.RUNTIME) // 运行时有效public @interface NoRepeatSubmit { String name() default "name:";} |
步骤二、解析注解
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import javax.servlet.http.HttpServletRequest;import com.hieasy.comm.core.domain.R;import com.hieasy.comm.redis.service.RedisService;import com.hieasy.system.util.TermUtil;import org.apache.commons.logging.Log;import org.apache.commons.logging.LogFactory;import org.aspectj.lang.ProceedingJoinPoint;import org.aspectj.lang.annotation.Around;import org.aspectj.lang.annotation.Aspect;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.stereotype.Component;import org.springframework.web.context.request.RequestContextHolder;import org.springframework.web.context.request.ServletRequestAttributes;import java.util.concurrent.TimeUnit; /** * @Author Minco * @Date 16:02 2020-08-13 * @Description aop解析注解 */ @Aspect@Componentpublic class NoRepeatSubmitAop { private Log logger = LogFactory.getLog(getClass()); @Autowired private RedisService redisService; @Around("execution(* com.hieasy.*.controller.*.*Ctrl.*(..)) && @annotation(nrs)") public Object arround(ProceedingJoinPoint pjp, NoRepeatSubmit nrs) throws Throwable { ServletRequestAttributes attributes = (ServletRequestAttributes) RequestContextHolder.getRequestAttributes(); HttpServletRequest request = attributes.getRequest(); String key = TermUtil.getUserId() + "-" + request.getServletPath(); if ( !redisService.haskey(key) ) {// 如果缓存中有这个url视为重复提交 Object o = pjp.proceed(); redisService.setCacheObject(key, 0, 15, TimeUnit.SECONDS); return o; } else { redisService.setCacheObject(key, 0, 15, TimeUnit.SECONDS);//点了同样的URL继续限制，直到2次点击中间间隔超过了限制 return R.error("请勿重复提交或者操作过于频繁！"); } } } |
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import org.springframework.beans.factory.annotation.Autowired;import org.springframework.data.redis.core.*;import org.springframework.stereotype.Component; import java.util.*;import java.util.concurrent.TimeUnit; /** * @Author Minco * @Date 13:55 2020-06-23 * @Description RedisService */@Component@SuppressWarnings(value = {"unchecked", "rawtypes"})public class RedisService { @Autowired public RedisTemplate redisTemplate; /** * 缓存基本的对象，Integer、String、实体类等 * * @param key 缓存的键值 * @param value 缓存的值 * @return 缓存的对象 */ public <T> ValueOperations<String, T> setCacheObject(String key, T value) { ValueOperations<String, T> operation = redisTemplate.opsForValue(); operation.set(key, value); return operation; } /** * 缓存基本的对象，Integer、String、实体类等 * * @param key 缓存的键值 * @param value 缓存的值 * @param timeout 时间 * @param timeUnit 时间颗粒度 * @return 缓存的对象 */ public <T> ValueOperations<String, T> setCacheObject(String key, T value, Integer timeout, TimeUnit timeUnit) { ValueOperations<String, T> operation = redisTemplate.opsForValue(); operation.set(key, value, timeout, timeUnit); return operation; } /** * 获得缓存的基本对象。 * * @param key 缓存键值 * @return 缓存键值对应的数据 */ public <T> T getCacheObject(String key) { ValueOperations<String, T> operation = redisTemplate.opsForValue(); return operation.get(key); } /** * 删除单个对象 * * @param key */ public void deleteObject(String key) { redisTemplate.delete(key); } /** * 删除集合对象 * * @param collection */ public void deleteObject(Collection collection) { redisTemplate.delete(collection); } /** * 缓存List数据 * * @param key 缓存的键值 * @param dataList 待缓存的List数据 * @return 缓存的对象 */ public <T> ListOperations<String, T> setCacheList(String key, List<T> dataList) { ListOperations listOperation = redisTemplate.opsForList(); if (null != dataList) { int size = dataList.size(); for (int i = 0; i < size; i++) { listOperation.leftPush(key, dataList.get(i)); } } return listOperation; } /** * 获得缓存的list对象 * * @param key 缓存的键值 * @return 缓存键值对应的数据 */ public <T> List<T> getCacheList(String key) { List<T> dataList = new ArrayList<T>(); ListOperations<String, T> listOperation = redisTemplate.opsForList(); Long size = listOperation.size(key); for (int i = 0; i < size; i++) { dataList.add(listOperation.index(key, i)); } return dataList; } /** * 缓存Set * * @param key 缓存键值 * @param dataSet 缓存的数据 * @return 缓存数据的对象 */ public <T> BoundSetOperations<String, T> setCacheSet(String key, Set<T> dataSet) { BoundSetOperations<String, T> setOperation = redisTemplate.boundSetOps(key); Iterator<T> it = dataSet.iterator(); while (it.hasNext()) { setOperation.add(it.next()); } return setOperation; } /** * 获得缓存的set * * @param key * @return */ public <T> Set<T> getCacheSet(String key) { Set<T> dataSet = new HashSet<T>(); BoundSetOperations<String, T> operation = redisTemplate.boundSetOps(key); dataSet = operation.members(); return dataSet; } /** * 缓存Map * * @param key * @param dataMap * @return */ public <T> HashOperations<String, String, T> setCacheMap(String key, Map<String, T> dataMap) { HashOperations hashOperations = redisTemplate.opsForHash(); if (null != dataMap) { for (Map.Entry<String, T> entry : dataMap.entrySet()) { hashOperations.put(key, entry.getKey(), entry.getValue()); } } return hashOperations; } /** * 获得缓存的Map * * @param key * @return */ public <T> Map<String, T> getCacheMap(String key) { Map<String, T> map = redisTemplate.opsForHash().entries(key); return map; } /** * 获得缓存的基本对象列表 * * @param pattern 字符串前缀 * @return 对象列表 */ public Collection<String> keys(String pattern) { return redisTemplate.keys(pattern); } /** * * @param key * @return */ public boolean haskey(String key){ return redisTemplate.hasKey(key); } public Long getExpire(String key){ return redisTemplate.getExpire(key); } public <T> ValueOperations<String, T> setBillObject(String key, List<Map<String, Object>> value) { ValueOperations<String, T> operation = redisTemplate.opsForValue(); operation.set(key, (T) value); return operation; } /** * 缓存list<Map<String, Object>> * * @param key 缓存的键值 * @param value 缓存的值 * @param timeout 时间 * @param timeUnit 时间颗粒度 * @return 缓存的对象 */ public <T> ValueOperations<String, T> setBillObject(String key, List<Map<String, Object>> value, Integer timeout, TimeUnit timeUnit) { ValueOperations<String, T> operation = redisTemplate.opsForValue(); operation.set(key,(T)value, timeout, timeUnit); return operation; } /** * 缓存Map * * @param key * @param dataMap * @return */ public <T> HashOperations<String, String, T> setCKdBillMap(String key, Map<String, T> dataMap) { HashOperations hashOperations = redisTemplate.opsForHash(); if (null != dataMap) { for (Map.Entry<String, T> entry : dataMap.entrySet()) { hashOperations.put(key, entry.getKey(), entry.getValue()); } } return hashOperations; }} |
步骤三、控制层注解使用
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@NoRepeatSubmit@PostMapping("insert")@OperLog(title = "仓库调整", businessType = BusinessType.INSERT)@ApiOperation(value = "新增仓库调整单", notes = "")public R insert(@RequestBody Cktzd cktzd) { System.out.println(JSON.toJSONString(cktzd)); return R.error("测试阶段！");} |
测试结果：
第一次提交
在不间隔15就继续点
不间断的点，只要2次点击之间没有超过15秒，都会抛出请勿重复请求。直到2次点击之间间隔足够才能正常请求！
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原文链接：https://blog.csdn.net/chengmin123456789/article/details/107982095
