Java后端限制频繁请求和重复提交的实现

目录

• 步骤一、写限制注解
• 步骤二、解析注解
• 步骤三、控制层注解使用

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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