Java后端限制频繁请求和重复提交的实现
作者：墨着染霜华
很多用户会请求过于频繁或者是多次重复提交数据，本文主要介绍了Java后端限制频繁请求和重复提交的实现，文中通过示例代码介绍的非常详细，具有一定的参考价值，感兴趣的小伙伴们可以参考一下
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
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
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
@Component
public 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！");
}
}
}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
@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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