SpringBoot点赞 SpringBoot实现物品点赞功能
古墓派学子 人气:0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。
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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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