在客戶端網(wǎng)絡(luò)慢或者服務(wù)器響應(yīng)慢時(shí)，用戶有時(shí)是會(huì)頻繁刷新頁面或重復(fù)提交表單的，這樣是會(huì)給服務(wù)器造成不小的負(fù)擔(dān)的，同時(shí)在添加數(shù)據(jù)時(shí)有可能造成不必要的麻煩，今天通過本文給大家介紹下Java防止頻繁請求、重復(fù)提交的操作代碼，一起看看吧

在客戶端網(wǎng)絡(luò)慢或者服務(wù)器響應(yīng)慢時(shí)，用戶有時(shí)是會(huì)頻繁刷新頁面或重復(fù)提交表單的，這樣是會(huì)給服務(wù)器造成不小的負(fù)擔(dān)的，同時(shí)在添加數(shù)據(jù)時(shí)有可能造成不必要的麻煩。所以我們在后端也有必要進(jìn)行防抖操作。

1.自定義注解

/**
 * @author Tzeao
 */
@Target(ElementType.METHOD) // 作用到方法上
@Retention(RetentionPolicy.RUNTIME) // 運(yùn)行時(shí)有效
public @interface NoRepeatSubmit {

    //名稱，如果不給就是要默認(rèn)的
    String name() default "name";
}

2.使用AOP實(shí)現(xiàn)該注解

/**
 * @author Tzeao
 */
@Aspect
@Component
@Slf4j
public class NoRepeatSubmitAop {

    @Autowired
    private RedisService redisService;

    /**
     * 切入點(diǎn)
     */
    @Pointcut("@annotation(com.qwt.part_time_admin_api.common.validation.NoRepeatSubmit)")
    public void pt() {
    }

    @Around("pt()")
    public Object arround(ProceedingJoinPoint joinPoint) throws Throwable {

        ServletRequestAttributes attributes = (ServletRequestAttributes) RequestContextHolder.getRequestAttributes();
        assert attributes != null;
        HttpServletRequest request = attributes.getRequest();
        //這里是唯一標(biāo)識 根據(jù)情況而定
        String key = "1" + "-" + request.getServletPath();
        // 如果緩存中有這個(gè)url視為重復(fù)提交
        if (!redisService.haskey(key)) {
            //通過，執(zhí)行下一步
            Object o = joinPoint.proceed();
            //然后存入redis 并且設(shè)置15s倒計(jì)時(shí)
            redisService.setCacheObject(key, 0, 15, TimeUnit.SECONDS);
            //返回結(jié)果
            return o;
        } else {
            return Result.fail(400, "請勿重復(fù)提交或者操作過于頻繁！");
        }

    }
}

3.serice，也可以放在工具包里面，這里我們使用到了Redis來對key和標(biāo)識碼進(jìn)行存儲(chǔ)和倒計(jì)時(shí),所以在使用時(shí)還需要連接一下Redis

package com.qwt.part_time_admin_api.service;

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 Tzeao
*/
@Component
public class RedisService {

@Autowired
public RedisTemplate redisTemplate;

/**
 * 緩存基本的對象，Integer、String、實(shí)體類等
 *
 * @param key   緩存的鍵值
 * @param value 緩存的值
 * @return 緩存的對象
 */
public <T> ValueOperations<String, T> setCacheObject(String key, T value) {
    ValueOperations<String, T> operation = redisTemplate.opsForValue();
    operation.set(key, value);
    return operation;
}

/**
 * 緩存基本的對象，Integer、String、實(shí)體類等
 *
 * @param key      緩存的鍵值
 * @param value    緩存的值
 * @param timeout  時(shí)間
 * @param timeUnit 時(shí)間顆粒度
 * @return 緩存的對象
 */
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;
}

/**
 * 獲得緩存的基本對象。
 *
 * @param key 緩存鍵值
 * @return 緩存鍵值對應(yīng)的數(shù)據(jù)
 */
public <T> T getCacheObject(String key) {
    ValueOperations<String, T> operation = redisTemplate.opsForValue();
    return operation.get(key);
}

/**
 * 刪除單個(gè)對象
 *
 * @param key
 */
public void deleteObject(String key) {
    redisTemplate.delete(key);
}

/**
 * 刪除集合對象
 *
 * @param collection
 */
public void deleteObject(Collection collection) {
    redisTemplate.delete(collection);
}

/**
 * 緩存List數(shù)據(jù)
 *
 * @param key      緩存的鍵值
 * @param dataList 待緩存的List數(shù)據(jù)
 * @return 緩存的對象
 */
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;
}

/**
 * 獲得緩存的list對象
 *
 * @param key 緩存的鍵值
 * @return 緩存鍵值對應(yīng)的數(shù)據(jù)
 */
public <T> List<T> getCacheList(String key) {
    List<T> dataList = new ArrayList<>();
    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;
}

/**
 * 緩存Set
 *
 * @param key     緩存鍵值
 * @param dataSet 緩存的數(shù)據(jù)
 * @return 緩存數(shù)據(jù)的對象
 */
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;
}

/**
 * 獲得緩存的set
 *
 * @param key
 * @return
 */
public <T> Set<T> getCacheSet(String key) {
    Set<T> dataSet = new HashSet<>();
    BoundSetOperations<String, T> operation = redisTemplate.boundSetOps(key);
    dataSet = operation.members();
    return dataSet;
}

/**
 * 緩存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;
}

/**
 * 獲得緩存的Map
 *
 * @param key
 * @return
 */
public <T> Map<String, T> getCacheMap(String key) {
    Map<String, T> map = redisTemplate.opsForHash().entries(key);
    return map;
}

/**
 * 獲得緩存的基本對象列表
 *
 * @param pattern 字符串前綴
 * @return 對象列表
 */
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;
}

/**
 * 緩存list<Map<String, Object>>
 *
 * @param key      緩存的鍵值
 * @param value    緩存的值
 * @param timeout  時(shí)間
 * @param timeUnit 時(shí)間顆粒度
 * @return 緩存的對象
 */
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;
}

/**
 * 緩存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;
}
}

4.測試

  @NoRepeatSubmit(name = "test") // 也可以不給名字，這樣就會(huì)走默認(rèn)名字
    @GetMapping("test")
    public Result test() {
        return Result.success("測試階段！");
    }

在這里插入圖片描述