SpringBoot实现物品点赞功能

前后端分离项目–二手交易平台小程序

SpringBoot----物品收藏功能实现
SpringBoot----评论回复功能实现（数据库设计）
SpringBoot----文件(图片)上传与显示(下载)

点赞

这个功能耗费了我挺多时间，简单实现很简单，就++ – .但是还是感觉这种点赞是一个高频率的请求，而且搜的时候我看都是使用redis做缓存。b站也搜到一个视频来着，也是一样的。

效果：

功能:

首先还是一个先发请求返回数据，但是先数据存到了redis中，然后使用springboot定时任务每隔一定时间将数据存到mysql中。这样可以防止redis挂掉之后数据丢失。

数据库设计：

MySQL使用了一张表和另外几张表的一个字段，一张存放点赞信息，就是谁点赞了谁在啥时候。字段存放点赞数量。就是物品信息表。评论表这些。
-

redis，使用的是hash数据结构，redis_liked存放点赞数据，redis_liked_count存放点赞数量数据。

解释 ：

对于 “1：：字符串：：1 ” 这个是一种存放方式，前面1为objid就是被点赞物品或者评论id，字符串为微信openid每个用户唯一id,后面1为类型区分点赞的是物品还是主评论，子评论。

对于 "\"0\"" 这个数据则是点赞的状态，1为点赞0为取消点赞对于"1::1"这个前面1是objid就是物品或者子、主评论id,后面则是区别是哪个类型。“0”就是点赞数量。

后台代码：

前端就发like或者取消unlike请求

package com.w.wx.controller;

import com.w.wx.domain.Msg;
import com.w.wx.service.impls.RedisServiceImpl;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;

import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;

@Slf4j
@RestController
@RequestMapping("/wx/liked")
public class LikedContro {

    @Autowired
    private RedisServiceImpl redisService;

    /**
     * 保存点赞数据到redis
     * 点赞数+1
     * 同一个不能点赞两次
     * @param objId
     * @param openid
     * @param type
     * @return
     */
    @RequestMapping("like")
    public Msg saveLikedToRedis(Integer objId,String openid , String type){

        redisService.incrementLikedCount(objId, type, openid);

        redisService.saveLikedToRedis(objId,openid,type);

        int oneInfoCount = redisService.getOneInfoCount(objId, type);
        return Msg.success().add("count",oneInfoCount);
    }

    @RequestMapping("unlike")
    public  Msg decrementLikedCount(Integer objId,String openid,String type){
        redisService.decrementLikedCount(objId,type,openid);
        redisService.unlikeFromRedis(objId,openid,type);

        int oneInfoCount = redisService.getOneInfoCount(objId, type);
        return Msg.success().add("count",oneInfoCount);
    }

	//恢复redis
    @RequestMapping("restore")
    public Msg restoreRedisCountInfo(){
        redisService.savaInfoFromDb2Re(0);
        redisService.savaInfoFromDb2Re(1);
        redisService.savaInfoFromDb2Re(2);
        return Msg.success();
    }
}

操作redis代码

package com.w.wx.service.impls;

import com.w.wx.mapper.LikedMapper;
import com.w.wx.domain.Liked;
import com.w.wx.service.ImagesService;
import com.w.wx.service.RedisService;
import com.w.wx.utils.RedisKeyUtils;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.Cursor;
import org.springframework.data.redis.core.RedisTemplate;
import org.springframework.data.redis.core.ScanOptions;
import org.springframework.stereotype.Service;

import java.util.ArrayList;
import java.util.Iterator;
import java.util.List;
import java.util.Map;

@Service
@Slf4j
public class RedisServiceImpl implements RedisService {

    @Autowired
    private RedisTemplate redisTemplate;
    @Autowired
    private LikedServiceImpl likedService;
    @Autowired
    private ImagesService imagesService;

    /**
     * 保存数据到redis
     * @param objId
     * @param openid
     * @param type
     */
    @Override
    public void saveLikedToRedis(Integer objId, String openid,String type) {

        imagesService.addLikedNotice(objId, openid,type);
        String likedKey = RedisKeyUtils.getLikedKey("" + objId, openid,type);
        redisTemplate.opsForHash().put(RedisKeyUtils.MAP_KEY_USER_LIKED,likedKey, "1");
    }

    /**
     * 取消点赞
     * @param objId
     * @param openid
     * @param type
     */
    @Override
    public void unlikeFromRedis(Integer objId, String openid,String type) {
        String likedKey = RedisKeyUtils.getLikedKey("" + objId, openid,type);
        redisTemplate.opsForHash().put(RedisKeyUtils.MAP_KEY_USER_LIKED,likedKey, "0");
    }

    /**
     * 删除数据，没有用到
     * @param objId
     * @param openid
     * @param type
     */
    @Override
    public void deleteFromRedis(Integer objId, String openid,String type) {
        String key = RedisKeyUtils.getLikedKey("" + objId, openid,type);
        redisTemplate.opsForHash().delete(RedisKeyUtils.MAP_KEY_USER_LIKED, key);
    }

    /**
     * 自增，点赞数++
     * @param objId
     * @param type
     * @param openid
     * @return
     */
    @Override
    public Long incrementLikedCount(Integer objId,String type, String openid) {
        String key = RedisKeyUtils.getLikedKey("" + objId,type);
        String likedKey = RedisKeyUtils.getLikedKey("" + objId, openid,type);
        //根据定时器时长有延迟
//        if(likedMapper.selectByObjIdAndOpenid(objId,openid,Integer.valueOf(type)).getLikeStatus()==0){
//            redisTemplate.opsForHash().increment(RedisKeyUtils.MAP_KEY_USER_LIKED_COUNT, key, 1);
//        }

        //防止重复点赞
        if("0".equals(redisTemplate.opsForHash().get(RedisKeyUtils.MAP_KEY_USER_LIKED,likedKey))
                || redisTemplate.opsForHash().get(RedisKeyUtils.MAP_KEY_USER_LIKED,likedKey) == null){

           return redisTemplate.opsForHash().increment(RedisKeyUtils.MAP_KEY_USER_LIKED_COUNT, key, 1);
        }

        return null;
    }

    @Override
    public void decrementLikedCount(Integer objId,String type, String openid) {
        String key = RedisKeyUtils.getLikedKey("" + objId,type);
        String likedKey = RedisKeyUtils.getLikedKey("" + objId, openid,type);
//        if(likedMapper.selectByObjIdAndOpenid(objId,openid,Integer.valueOf(type)).getLikeStatus()==1){
//            redisTemplate.opsForHash().increment(RedisKeyUtils.MAP_KEY_USER_LIKED_COUNT, key, -1);
//        }

        if("1".equals(redisTemplate.opsForHash().get(RedisKeyUtils.MAP_KEY_USER_LIKED,likedKey))){
            redisTemplate.opsForHash().increment(RedisKeyUtils.MAP_KEY_USER_LIKED_COUNT, key, -1);
        }
    }

    /**
     * 获取redis中存放的点赞数据然后存放到mysql做持久化
     * @return
     */
    @Override
    public List<Liked> getLikedDataFromRedis() {
        Cursor<Map.Entry<Object, Object>> cursor = redisTemplate.opsForHash().scan(RedisKeyUtils.MAP_KEY_USER_LIKED, ScanOptions.NONE);
        List<Liked> list = new ArrayList<>();
        while (cursor.hasNext()){
            Map.Entry<Object, Object> entry = cursor.next();
            String key = (String) entry.getKey();

            String[] split = key.split("::");
            int status =  Integer.parseInt((String) entry.getValue());

            Liked like = new Liked();
            like.setObjId(Integer.valueOf(split[0]));
            like.setUserOpenid(split[1]);
            like.setType(Integer.valueOf(split[2]));
            like.setLikeStatus(status);

            list.add(like);

            //存到 list 后从 Redis 中删除
           // redisTemplate.opsForHash().delete(RedisKeyUtils.MAP_KEY_USER_LIKED, key);
        }

        return list;
    }

    //获取redis中点赞数量
    @Override
    public Cursor<Map.Entry<Object, Object>> getLikedCountFromRedis() {
        Cursor<Map.Entry<Object, Object>> cursor = redisTemplate.opsForHash().scan(RedisKeyUtils.MAP_KEY_USER_LIKED_COUNT, ScanOptions.NONE);
        //redisTemplate.opsForHash().delete(RedisKeyUtils.MAP_KEY_USER_LIKED_COUNT);
        return cursor;
    }

    @Override
    public int getOneInfoCount(Integer objId, String type) {
        String key = RedisKeyUtils.getLikedKey("" + objId,type);
        return (int)redisTemplate.opsForHash().get(RedisKeyUtils.MAP_KEY_USER_LIKED_COUNT,key);
    }

    public void saveCountInfo(Integer objId,Integer type,Integer count){
        String key = RedisKeyUtils.getLikedKey("" + objId,""+type);
        redisTemplate.opsForHash().put(RedisKeyUtils.MAP_KEY_USER_LIKED_COUNT,key,count);
    }

    //redis挂掉后通过mysql中数据恢复redis
    @Override
    public void savaInfoFromDb2Re(Integer type) {
        List<Map<String,Object>> likeds = likedService.selectLikedInfoByType(type);
        if (likeds.isEmpty()||likeds.equals("")){
            return;
        }

        Iterator<Map<String,Object>> it = likeds.listIterator();
        while(it.hasNext()){
            Map<String,Object> map = it.next();
            Integer objId =  (Integer) map.get("objId");
            Integer count =  Integer.parseInt(map.get("num_liked").toString());
            log.info("objId:"+objId+"count:"+count+"type:"+type);
            saveCountInfo(objId,type,count);
        }
    }
}

操作mysql代码

package com.w.wx.service.impls;

import com.w.wx.mapper.CommentsInfoMapper;
import com.w.wx.mapper.CommentsReplyMapper;
import com.w.wx.mapper.GoodsMapper;
import com.w.wx.mapper.LikedMapper;
import com.w.wx.domain.CommentsInfo;
import com.w.wx.domain.Liked;
import com.w.wx.service.LikedService;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.data.redis.core.Cursor;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;

import java.sql.Timestamp;
import java.util.*;

@Service
@Slf4j

public class LikedServiceImpl implements LikedService {

    @Autowired
    private RedisServiceImpl redisService;
    @Autowired
    private LikedMapper likedMapper;
    @Autowired
    private CommentsInfoMapper commentsInfoMapper;
    @Autowired
    private CommentsReplyMapper commentsReplyMapper;
    @Autowired
    private GoodsMapper goodsMapper;

    /**
     * 将缓存中点赞记录持久化到数据库
     */
    @Override
    @Transactional
    public void transLikedFromRedisToDB() {
        List<Liked> likeds = redisService.getLikedDataFromRedis();

        for (Liked like : likeds) {
            Date date = new Date();
            Timestamp timestamp = new Timestamp(date.getTime());
            //首先判断之前是否有
            Liked liked = likedMapper.selectByObjIdAndOpenid(like.getObjId(),like.getUserOpenid(),like.getType());
            if(liked==null ){
                //没有则新增
                like.setCreateTime(timestamp);
                likedMapper.insert(like);
            }else{
                //有则更新
                 likedMapper.updateByPrimaryKey(liked.getLikeId(),like.getLikeStatus(),timestamp);
            }
        }
    }

    /**
     * 将点赞数量持久化到数据库
     */
    @Override
    @Transactional
    public void transLikedCountFromRedisToDB() {
        Cursor<Map.Entry<Object, Object>> cursor = redisService.getLikedCountFromRedis();
        while (cursor.hasNext()){
            Map.Entry<Object, Object> map = cursor.next();
            String key = (String)map.getKey();
            //分离出objId和type
            String[] split = key.split("::");
            int type =Integer.parseInt(split[1]);
            int objId = Integer.parseInt(split[0]);
            int likeNum = (Integer) map.getValue();
            if ( type == 1){
                //为主评论
                commentsInfoMapper.updateByPrimaryKey(objId,likeNum);

            }else if(type == 2){
                //为子评论
                commentsReplyMapper.updateByPrimaryKey(objId,likeNum);
            }else{
                //为物品
                goodsMapper.updateGoodsLikeSum(objId,likeNum);
            }
        }
    }

    @Override
    public List<Map<String,Object>> selectLikedInfoByType(Integer type) {
        return likedMapper.selectLikedInfoByType(type);
    }
}

工具类

package com.w.wx.utils;

public class RedisKeyUtils {
    //保存用户点赞数据的key
    public static final String MAP_KEY_USER_LIKED = "redis_liked";
    //保存用户被点赞数量的key
    public static final String MAP_KEY_USER_LIKED_COUNT = "redis_liked_count";

    /**
     * 拼接被点赞的用户id和点赞的人的id作为key。格式 222222::333333::1
     * @param likedUserId 被点赞的人id
     * @param likedPostId 点赞的人的id
     * @return
     */
    public static String getLikedKey(String likedUserId, String likedPostId,String type){
        StringBuilder builder = new StringBuilder();
        builder.append(likedUserId);
        builder.append("::");
        builder.append(likedPostId);
        builder.append("::");
        builder.append(type);
        return builder.toString();
    }

    public static String getLikedKey(String likedUserId,String type){
        StringBuilder builder = new StringBuilder();
        builder.append(likedUserId);
        builder.append("::");
        builder.append(type);
        return builder.toString();
    }

}

定时任务配置类

package com.w.wx.config;

import com.w.wx.utils.LikeTask;
import org.quartz.*;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

@Configuration
public class QuartzConfig {
    private static final String LIKE_TASK_IDENTITY = "LikeTaskQuartz";

    @Bean
    public JobDetail quartzDetail(){
        return JobBuilder.newJob(LikeTask.class).withIdentity(LIKE_TASK_IDENTITY).storeDurably().build();
    }

    @Bean
    public Trigger quartzTrigger(){
        SimpleScheduleBuilder scheduleBuilder = SimpleScheduleBuilder.simpleSchedule()
//                .withIntervalInSeconds(5)  //设置时间周期单位秒
                .withIntervalInHours(2)  //两个小时执行一次
                .repeatForever();
        return TriggerBuilder.newTrigger().forJob(quartzDetail())
                .withIdentity(LIKE_TASK_IDENTITY)
                .withSchedule(scheduleBuilder)
                .build();
    }
}

定时任务工具类

package com.w.wx.utils;

import com.w.wx.service.LikedService;
import com.w.wx.service.impls.LikedServiceImpl;
import lombok.extern.slf4j.Slf4j;

import org.quartz.JobExecutionContext;
import org.quartz.JobExecutionException;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.scheduling.quartz.QuartzJobBean;

import java.text.SimpleDateFormat;
import java.util.Date;
import lombok.extern.slf4j.Slf4j;
import org.springframework.stereotype.Component;

@Slf4j
@Component
public class LikeTask extends QuartzJobBean {
    @Autowired
    LikedServiceImpl likedService;

    private SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss");

    @Override
    protected void executeInternal(JobExecutionContext jobExecutionContext) throws JobExecutionException {

        log.info("LikeTask-------- {}", sdf.format(new Date()));

        //将 Redis 里的点赞信息同步到数据库里
        likedService.transLikedFromRedisToDB();
        likedService.transLikedCountFromRedisToDB();

    }
}

参考：

springboot如何实现点赞功能
点赞功能的实现及Springboot定时器的应用

还有好多，第一页搜出来的基本都看过，第一次搞真心不会。。。
f12去看看csdn点赞，会发现点文章的赞会有点赞量的返回。点评论的赞就没

哔哩哔哩就看不懂了！！！

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