七(5)查询动态-点赞评论-Redis(hash)

课程总结

1.圈子动态查询

好友动态与推荐动态
掌握动态的表关系
掌握推荐动态的流程和代码实现

2.圈子互动

使用Redis和冗余字段优化查询效率
发布评论
点赞与取消点赞
喜欢与取消喜欢

一. 动态查询

1.1 具体内容

执行流程

我的动态：查询个人发布的动态列表（分页查询），和之前实现的好友动态，推荐动态实现逻辑是一致。

1.2 需求分析

动态查询包含三个部分

个人动态（已实现）
好友动态
- 操作用户查看所有好友发布的动态内容
推荐动态
- 探花交友平台接入大数据系统，根据个人喜欢实时计算出感兴趣的动态内容

1.3 查询好友动态

查询好友动态与查询推荐动态显示的结构是一样的，只是其查询数据源不同

1. 接口文档

API接口文档：http://192.168.136.160:3000/project/19/interface/api/142

2. 表结构

3. 代码步骤

Controller层接受请求参数
Service数据封装
- 调用API查询好友动态详情数据
- 调用API查询动态发布人详情
- 构造VO对象
API层根据用户ID查询好友发布动态详情
- 查询好友时间线表
- 查询动态详情

4. 代码实现

MovementController

 //查询好友动态@GetMappingpublic ResponseEntity movements(@RequestParam(defaultValue = "1") Integer page,@RequestParam(defaultValue = "10") Integer pagesize) {PageResult pr = movementService.findFriendMovements(page,pagesize);return ResponseEntity.ok(pr);}

MovementService

//好友动态
public PageResult findFriendMovements(Integer page, Integer pagesize) {//1、获取当前用户idLong userId = UserHolder.getUserId();//2、查询数据列表List<Movement> items = movementApi.findFriendMovements(userId,page,pagesize);//3、非空判断if(CollUtil.isEmpty(items)) {return new PageResult();}//4、获取好友用户idList<Long> userIds = CollUtil.getFieldValues(items, "userId", Long.class);//5、循环数据列表Map<Long, UserInfo> userMaps = userInfoApi.findByIds(userIds, null);List<MovementsVo> vos = new ArrayList<>();for (Movement item : items) {//5、一个Movement构建一个Vo对象UserInfo userInfo = userMaps.get(item.getUserId());MovementsVo vo = MovementsVo.init(userInfo, item);vos.add(vo);}//6、构建返回值return new PageResult(page,pagesize,0L,vos);
}

movementApi

@Override
public List<Movement> findFriendMovements(Long friendId, Integer page, Integer pagesize) {//1、查询好友时间线表Query query = Query.query(Criteria.where("friendId").is(friendId)).skip((page - 1)*pagesize).limit(pagesize).with(Sort.by(Sort.Order.desc("created")));List<MovementTimeLine> lines = mongoTemplate.find(query, MovementTimeLine.class);//2、提取动态id集合List<ObjectId> movementIds = CollUtil.getFieldValues(lines, "movementId", ObjectId.class);//3、根据动态id查询动态详情Query movementQuery = Query.query(Criteria.where("id").in(movementIds));return mongoTemplate.find(movementQuery, Movement.class);
}

1.4 查询推荐动态(redis,stream)

1. redis数据格式

推荐动态是通过推荐系统计算出的结果，现在我们只需要实现查询即可，推荐系统在后面的课程中完成。

推荐系统计算完成后，会将结果数据写入到Redis中，数据如下：

192.168.31.81:6379> get MOVEMENTS_RECOMMEND_1
"2562,3639,2063,3448,2128,2597,2893,2333,3330,2642,2541,3002,3561,3649,2384,2504,3397,2843,2341,2249"

可以看到，在Redis中的数据是有多个发布id组成（pid）由逗号分隔。所以实现中需要自己对这些数据做分页处理。

推荐动态数据格式

推荐动态数据存入Redis服务器中

存入的数据KEY为MOVEMENTS_RECOMMED_{用户id}

存入的数据VALUE为：动态PID字符串（多个PID间使用“，”连接）

2. 接口文档

API接口文档：http://192.168.136.160:3000/project/19/interface/api/145

3. 思路分析

Redis中存储的是动态详情表的唯一数字标识 pid字段

当不存在推荐数据时，需要构造默认数据返回

4. 代码步骤

Controller层接受请求参数
Service数据封装
- 从redis获取当前用户的推荐PID列表
- 如果不存在，调用API随机获取10条动态数据
- 如果存在，调用API根据PID列表查询动态数据
- 构造VO对象
API层编写方法
- 随机获取
- 根据pid列表查询

5. 代码实现

Constants枚举类

package com.tanhua.commons.utils;//常量定义
public class Constants {//手机APP短信验证码CHECK_CODE_public static final String SMS_CODE = "CHECK_CODE_";//推荐动态public static final String MOVEMENTS_RECOMMEND = "MOVEMENTS_RECOMMEND_";//推荐视频public static final String VIDEOS_RECOMMEND = "VIDEOS_RECOMMEND_";//圈子互动KEYpublic static final String MOVEMENTS_INTERACT_KEY = "MOVEMENTS_INTERACT_";//动态点赞用户HashKeypublic static final String MOVEMENT_LIKE_HASHKEY = "MOVEMENT_LIKE_";//动态喜欢用户HashKeypublic static final String MOVEMENT_LOVE_HASHKEY = "MOVEMENT_LOVE_";//视频点赞用户HashKeypublic static final String VIDEO_LIKE_HASHKEY = "VIDEO_LIKE";//访问用户public static final String VISITORS = "VISITORS";//关注用户public static final String FOCUS_USER = "FOCUS_USER_{}_{}";//初始化密码public static final String INIT_PASSWORD = "123456";//环信用户前缀public static final String HX_USER_PREFIX = "hx";//jwt加密盐public static final String JWT_SECRET = "itcast";//jwt超时时间public static final int JWT_TIME_OUT = 3_600;
}

MovementController

/*** 推荐动态*/
@GetMapping("/recommend")
public ResponseEntity recommend(@RequestParam(defaultValue = "1") Integer page,@RequestParam(defaultValue = "10") Integer pagesize) {PageResult pr = movementService.findRecommendMovements(page,pagesize);return ResponseEntity.ok(pr);
}

MovementService

    //查询推荐动态public PageResult findRecommendMovements(Integer page, Integer pagesize) {//1、从redis中获取推荐数据String redisKey = Constants.MOVEMENTS_RECOMMEND +UserHolder.getUserId();String redisValue = redisTemplate.opsForValue().get(redisKey);//2、判断推荐数据是否存在List<Movement> list = Collections.EMPTY_LIST;if(StringUtils.isEmpty(redisValue)) {//3、如果不存在，调用API随机构造10条动态数据list = movementApi.randomMovements(pagesize);}else {//4、如果存在，处理pid数据   "16,17,18,19,20,21,10015,10020,10040,10064,10092,10093,10099,10067" 15String[] values = redisValue.split(",");//判断当前页的起始条数是否小于数组总数if( (page -1) * pagesize < values.length) {List<Long> pids = Arrays.stream(values).skip((page - 1) * pagesize).limit(pagesize).map(e->Long.valueOf(e)).collect(Collectors.toList());//5、调用API根据PID数组查询动态数据list = movementApi.findMovementsByPids(pids);}}//6、调用公共方法构造返回值return getPageResult(page,pagesize,list);}

movementApiImpl

    //随机查询多条数据public List<Movement> randomMovements(Integer counts) {//1、创建统计对象，设置统计参数TypedAggregation aggregation = Aggregation.newAggregation(Movement.class,Aggregation.sample(counts));//2、调用mongoTemplate方法统计AggregationResults<Movement> results = mongoTemplate.aggregate(aggregation, Movement.class);//3、获取统计结果return results.getMappedResults();}//根据PID查询
public List<Movement> findByPids(List<Long> pids) {Query query = Query.query(Criteria.where("pId").in(pids));return mongoTemplate.find(query, Movement.class);
}

1.5 根据id查询动态

根据id查询动态：当手机端查看评论内容时（需要根据动态id，查询动态详情），后续再去查询评论列表

1. 接口文档

API接口文档：http://192.168.136.160:3000/project/19/interface/api/151

2. 代码实现

MovementController

/*** 根据id查询动态*/
@GetMapping("/{id}")
public ResponseEntity findById(@PathVariable("id") String movementId) {MovementsVo vo = movementService.findMovementById(movementId);return ResponseEntity.ok(vo);
}

MovementService


public MovementsVo findMovementById(String movementId) {Movement movements = movementApi.findById(movementId);if(movements == null) {return null;}else {UserInfo userInfo = userInfoApi.findById(movements.getUserId());return MovementsVo.init(userInfo,movements);}
}

movementApiImpl

@Override
public Movement findById(String movementId) {return mongoTemplate.findById(movementId,Movement.class);
}

二. 圈子评论&点赞&喜欢

点赞、喜欢、评论等均可理解为用户对动态的互动。

数据库表：quanzi_comment

将数据记录到表中：保存到MongoDB中
互动表需要几张：需要一张表即可（quanzi_comment）
里面的数据需要分类：通过字段commentType 1-点赞，2-评论，3-喜欢
{"_id" : ObjectId("5fe7f9263c851428107cd4e8"),"publishId" : ObjectId("5fae53947e52992e78a3afa5"),"commentType" : 1,"userId" : NumberLong(1),"publishUserId" : NumberLong(1),"created" : NumberLong(1609038118275),"likeCount" : 0,"_class" : "com.tanhua.domain.mongo.Comment"
}

数据存储位置：redis，mongodb

mongodb中的数据

在动态详情Movement表中，加入喜欢，点赞，评论数量：检查数据库访问压力
- 互动操作的时候，不要忘记对上面的字段进行维护
圈子互动的表 comment
互动完成（点赞，喜欢）：不仅要将数据保存到mongo中，需要记录到redis中
页面查询圈子列表时，可以从redis中判断是否有点赞，和喜欢历史

2.1 提供者环境搭建

1. 创建API接口

public interface CommentApi {}

2. 创建API实现类

@DubboService
public class CommentApiImpl implements CommentApi {@Autowiredprivate MongoTemplate mongoTemplate;
}

3. Movement对象替换

添加了三个字段点赞数, 评论数, 喜欢数

@Data
@NoArgsConstructor
@AllArgsConstructor
@Document(collection = "movement")
public class Movement implements java.io.Serializable {private ObjectId id; //主键id//redis实现，使用Mongodb实现private Long pid; //Long类型，用于推荐系统的模型(自动增长)private Long created; //发布时间private Long userId;private String textContent; //文字private List<String> medias; //媒体数据，图片或小视频 urlprivate String longitude; //经度private String latitude; //纬度private String locationName; //位置名称private Integer state = 0;//状态 0：未审（默认），1：通过，2：驳回//补充字段private Integer likeCount = 0; //点赞数private Integer commentCount = 0; //评论数private Integer loveCount = 0; //喜欢数//根据评论类型，获取对应的互动数量public Integer statisCount(Integer commentType) {if (commentType == CommentType.LIKE.getType()) {return this.likeCount;} else if (commentType == CommentType.COMMENT.getType()) {return this.commentCount;} else {return loveCount;}}
}

4. 实体类对象

@Data
@NoArgsConstructor
@AllArgsConstructor
@Document(collection = "comment")
public class Comment implements java.io.Serializable{private ObjectId id;private ObjectId publishId;    //发布idprivate Integer commentType;   //评论类型，1-点赞，2-评论，3-喜欢private String content;        //评论内容  private Long userId;           //评论人   private Long publishUserId;    //被评论人IDprivate Long created;          //发表时间private Integer likeCount = 0; //当前评论的点赞数}

5. VO对象

@Data
@NoArgsConstructor
@AllArgsConstructor
public class CommentVo implements Serializable {private String id; //评论idprivate String avatar; //头像private String nickname; //昵称private String content; //评论private String createDate; //评论时间private Integer likeCount; //点赞数private Integer hasLiked; //是否点赞（1是，0否）public static CommentVo init(UserInfo userInfo, Comment item) {CommentVo vo = new CommentVo();BeanUtils.copyProperties(userInfo, vo);BeanUtils.copyProperties(item, vo);vo.setHasLiked(0);Date date = new Date(item.getCreated());vo.setCreateDate(new SimpleDateFormat("yyyy-MM-dd HH:mm:ss").format(date));vo.setId(item.getId().toHexString());return vo;}
}

6. 枚举

/*** 评论类型：1-点赞，2-评论，3-喜欢*/
public enum CommentType {LIKE(1), COMMENT(2), LOVE(3);int type;CommentType(int type) {this.type = type;}public int getType() {return type;}
}

2.2 动态评论

功能包括：查询评论列表，发布评论，对评论点赞和取消点赞。

1. 分页列表查询

接口文档

CommentController

//分页查询评理列表
@GetMapping
public ResponseEntity findComments(@RequestParam(defaultValue = "1") Integer page,@RequestParam(defaultValue = "10") Integer pagesize,String movementId) {PageResult pr = commentsService.findComments(movementId,page,pagesize);return ResponseEntity.ok(pr);
}

CommentService

//分页查询评理列表
public PageResult findComments(String movementId, Integer page, Integer pagesize) {//1、调用API查询评论列表List<Comment> list = commentApi.findComments(movementId,CommentType.COMMENT,page,pagesize);//2、判断list集合是否存在if(CollUtil.isEmpty(list)) {return new PageResult();}//3、提取所有的用户id,调用UserInfoAPI查询用户详情List<Long> userIds = CollUtil.getFieldValues(list, "userId", Long.class);Map<Long, UserInfo> map = userInfoApi.findByIds(userIds, null);//4、构造vo对象List<CommentVo> vos = new ArrayList<>();for (Comment comment : list) {UserInfo userInfo = map.get(comment.getUserId());if(userInfo != null) {CommentVo vo = CommentVo.init(userInfo, comment);vos.add(vo);}}//5、构造返回值return new PageResult(page,pagesize,0l,vos);
}

CommentAPI

//分页查询
public List<Comment> findComments(String movementId, CommentType commentType, Integer page, Integer pagesize) {//1、构造查询条件Query query = Query.query(Criteria.where("publishId").is(new ObjectId(movementId)).and("commentType").is(commentType.getType())).skip((page -1) * pagesize).limit(pagesize).with(Sort.by(Sort.Order.desc("created")));//2、查询并返回return mongoTemplate.find(query,Comment.class);
}

2. 发布评论

接口文档

Controller

@RestController
@RequestMapping("/comments")
public class CommentsController {@Autowiredprivate CommentsService commentsService;/*** 发布评论*/@PostMappingpublic ResponseEntity saveComments(@RequestBody Map map) {String movementId = (String )map.get("movementId");String comment = (String)map.get("comment");commentsService.saveComments(movementId,comment);return ResponseEntity.ok(null);}
}

Service

@Service
@Slf4j
public class CommentsService {@DubboReferenceprivate CommentApi commentApi;//发布评论public void saveComments(String movementId, String comment) {//1、获取操作用户idLong userId = UserHolder.getUserId();//2、构造CommentComment comment1 = new Comment();comment1.setPublishId(new ObjectId(movementId));comment1.setCommentType(CommentType.COMMENT.getType());comment1.setContent(comment);comment1.setUserId(userId);comment1.setCreated(System.currentTimeMillis());//3、调用API保存评论Integer commentCount = commentApi.save(comment1);log.info("commentCount = " + commentCount);}
}

CommentAPI

//发布评论，并获取评论数量或其他数量
public Integer save(Comment comment) {//1、查询动态Movement movement = mongoTemplate.findById(comment.getPublishId(), Movement.class);//2、向comment对象设置被评论人属性if(movement != null) {comment.setPublishUserId(movement.getUserId());}//3、保存到数据库mongoTemplate.save(comment);//4、更新动态表中的对应字段Query query = Query.query(Criteria.where("id").is(comment.getPublishId()));Update update = new Update();if(comment.getCommentType() == CommentType.LIKE.getType()) {update.inc("likeCount",1);}else if (comment.getCommentType() == CommentType.COMMENT.getType()){update.inc("commentCount",1);}else {update.inc("loveCount",1);}//设置更新参数FindAndModifyOptions options = new FindAndModifyOptions();options.returnNew(true) ;//获取更新后的最新数据Movement modify = mongoTemplate.findAndModify(query, update, options, Movement.class);//5、获取最新的评论数量，并返回return modify.statisCount(comment.getCommentType() );
}

测试API代码

@RunWith(SpringRunner.class)
@SpringBootTest(classes = AppServerApplication.class)
public class CommentApiTest {@DubboReferenceprivate CommentApi commentApi;@Testpublic void testSave() {Comment comment = new Comment();comment.setCommentType(CommentType.COMMENT.getType());comment.setUserId(106l);comment.setCreated(System.currentTimeMillis());comment.setContent("测试评论");comment.setPublishId();commentApi.save(comment);}
}

2.3 动态点赞与取消点赞(Redis哈希)

1. Redis缓存类型

Reids缓存，常使用基础String存储。对于点赞等需求是否合适呢？

Redis存储点赞，喜欢数据，一般使用Hash存储。
Key：movement_interact_{id}
Value: Hash

HashKey	Value	说明
user_like_{userId}	1	标记用户点赞
user_love_{userId}	1	标记用户喜欢

2. 接口文档

点赞接口

取消点赞接口

思路分析(点赞)

思路分析(取消点赞)

3. Controller

修改MovementsController代码，添加点赞与取消点赞方法

/*** 点赞*/
@GetMapping("/{id}/like")
public ResponseEntity like(@PathVariable("id") String movementId) {Integer likeCount = commentsService.likeComment(movementId);return ResponseEntity.ok(likeCount);
}/*** 取消点赞*/
@GetMapping("/{id}/dislike")
public ResponseEntity dislike(@PathVariable("id") String movementId) {Integer likeCount = commentsService.dislikeComment(movementId);return ResponseEntity.ok(likeCount);
}

4. 编写Service

创建CommentService，添加点赞与取消点赞方法

    @Autowiredprivate RedisTemplate<String,String> redisTemplate;//动态点赞并返回点赞数
public Integer likeComment(String movementId) {//1、调用API查询用户是否已点赞Boolean hasComment = commentApi.hasComment(movementId,UserHolder.getUserId(),CommentType.LIKE);//2、如果已经点赞，抛出异常if(hasComment) {throw  new BusinessException(ErrorResult.likeError());}//3、调用API保存数据到MongodbComment comment = new Comment();comment.setPublishId(new ObjectId(movementId));comment.setCommentType(CommentType.LIKE.getType());comment.setUserId(UserHolder.getUserId());comment.setCreated(System.currentTimeMillis());Integer count = commentApi.save(comment);//4、拼接redis的key，将用户的点赞状态存入redisString key = Constants.MOVEMENTS_INTERACT_KEY + movementId;String hashKey = Constants.MOVEMENT_LIKE_HASHKEY + UserHolder.getUserId();redisTemplate.opsForHash().put(key,hashKey,"1");return count;
}//取消点赞
public Integer dislikeComment(String movementId) {//1、调用API查询用户是否已点赞Boolean hasComment = commentApi.hasComment(movementId,UserHolder.getUserId(),CommentType.LIKE);//2、如果未点赞，抛出异常if(!hasComment) {throw new BusinessException(ErrorResult.disLikeError());}//3、调用API，删除数据，返回点赞数量Comment comment = new Comment();comment.setPublishId(new ObjectId(movementId));comment.setCommentType(CommentType.LIKE.getType());comment.setUserId(UserHolder.getUserId());Integer count = commentApi.delete(comment);//4、拼接redis的key，删除点赞状态String key = Constants.MOVEMENTS_INTERACT_KEY + movementId;String hashKey = Constants.MOVEMENT_LIKE_HASHKEY + UserHolder.getUserId();redisTemplate.opsForHash().delete(key,hashKey);return count;
}

5. 修改API服务

判断Comment数据是否存在

//判断comment数据是否存在
public Boolean hasComment(String movementId, Long userId, CommentType commentType) {Criteria criteria = Criteria.where("userId").is(userId).and("publishId").is(new ObjectId(movementId)).and("commentType").is(commentType.getType());Query query = Query.query(criteria);return mongoTemplate.exists(query,Comment.class); //判断数据是否存在
}

删除互动数据

//删除
public Integer delete(Comment comment) {//1、删除Comment表数据Criteria criteria = Criteria.where("userId").is(comment.getUserId()).and("publishId").is(comment.getPublishId()).and("commentType").is(comment.getCommentType());Query query = Query.query(criteria);mongoTemplate.remove(query,Comment.class);//2、修改动态表中的总数量Query movementQuery = Query.query(Criteria.where("id").is(comment.getPublishId()));Update update = new Update();if(comment.getCommentType() == CommentType.LIKE.getType()) {update.inc("likeCount",-1);}else if (comment.getCommentType() == CommentType.COMMENT.getType()){update.inc("commentCount",-1);}else {update.inc("loveCount",-1);}//设置更新参数FindAndModifyOptions options = new FindAndModifyOptions();options.returnNew(true) ;//获取更新后的最新数据Movement modify = mongoTemplate.findAndModify(movementQuery, update, options, Movement.class);//5、获取最新的评论数量，并返回return modify.statisCount(comment.getCommentType() );
}

6. 修改查询动态点赞数不显示的bug

修改之前的查询圈子列表代码，从redis查询是否具有操作记录

在MovementService中degetPageResult方法中

private PageResult getPageResult(Integer page, Integer pagesize, List<Movement> list) {if(CollUtil.isEmpty(list)) {return new PageResult();}//4、提取动态发布人的id列表List<Long> userIds = CollUtil.getFieldValues(list, "userId", Long.class);//5、根据用户的id列表获取用户详情Map<Long, UserInfo> map = userInfoApi.findByIds(userIds, null);//6、一个Movement构造一个vo对象List<MovementsVo> vos = new ArrayList<>();for (Movement movement : list) {UserInfo userInfo = map.get(movement.getUserId());if(userInfo != null) {MovementsVo vo = MovementsVo.init(userInfo, movement);//修复点赞状态的bug，判断hashKey是否存在String key = Constants.MOVEMENTS_INTERACT_KEY + movement.getId().toHexString();String hashKey = Constants.MOVEMENT_LOVE_HASHKEY + UserHolder.getUserId();if(redisTemplate.opsForHash().hasKey(key,hashKey)) {vo.setHasLiked(1);}vos.add(vo);}}//7、构造PageResult并返回return new PageResult(page, pagesize,0l,vos);
}

2.4 喜欢与取消喜欢

喜欢和取消喜欢：和刚才的点赞与取消点赞基本上是一模一样的！操作的类型comment_type=3,操作的字段loveCount

接口

Controller

修改MovementsController代码，添加喜欢与取消喜欢方法

/*** 喜欢*/
@GetMapping("/{id}/love")
public ResponseEntity love(@PathVariable("id") String movementId) {Integer likeCount = commentsService.loveComment(movementId);return ResponseEntity.ok(likeCount);
}/*** 取消喜欢*/
@GetMapping("/{id}/unlove")
public ResponseEntity unlove(@PathVariable("id") String movementId) {Integer likeCount = commentsService.disloveComment(movementId);return ResponseEntity.ok(likeCount);
}

Service

修改CommentService，添加点赞与取消点赞方法

//喜欢
public Integer loveComment(String movementId) {//1、调用API查询用户是否已点赞Boolean hasComment = commentApi.hasComment(movementId,UserHolder.getUserId(),CommentType.LOVE);//2、如果已经喜欢，抛出异常if(hasComment) {throw  new BusinessException(ErrorResult.loveError());}//3、调用API保存数据到MongodbComment comment = new Comment();comment.setPublishId(new ObjectId(movementId));comment.setCommentType(CommentType.LOVE.getType());comment.setUserId(UserHolder.getUserId());comment.setCreated(System.currentTimeMillis());Integer count = commentApi.save(comment);//4、拼接redis的key，将用户的点赞状态存入redisString key = Constants.MOVEMENTS_INTERACT_KEY + movementId;String hashKey = Constants.MOVEMENT_LOVE_HASHKEY + UserHolder.getUserId();redisTemplate.opsForHash().put(key,hashKey,"1");return count;
}//取消喜欢
public Integer disloveComment(String movementId) {//1、调用API查询用户是否已点赞Boolean hasComment = commentApi.hasComment(movementId,UserHolder.getUserId(),CommentType.LOVE);//2、如果未点赞，抛出异常if(!hasComment) {throw new BusinessException(ErrorResult.disloveError());}//3、调用API，删除数据，返回点赞数量Comment comment = new Comment();comment.setPublishId(new ObjectId(movementId));comment.setCommentType(CommentType.LOVE.getType());comment.setUserId(UserHolder.getUserId());Integer count = commentApi.delete(comment);//4、拼接redis的key，删除点赞状态String key = Constants.MOVEMENTS_INTERACT_KEY + movementId;String hashKey = Constants.MOVEMENT_LOVE_HASHKEY + UserHolder.getUserId();redisTemplate.opsForHash().delete(key,hashKey);return count;
}