【探花交友】day04—圈子功能实现

素颜马尾好姑娘i 2024-03-24 16:02 55阅读 0赞

**目录**

1、首页推荐

1.1、接口分析

1.2、功能实现

2、MongoDB集群

3、圈子功能

2.1、功能说明

1.2、实现方案分析

1.3、技术方案(重点)

1.4、表结构设计

4、圈子实现

3.1、环境搭建

3.2、发布动态

3.3、查询个人动态

### 1、首页推荐 ###

![d29aa58a74944a16b7ca25757b311103.png][]

#### 1.1、接口分析 ####

地址：[http://192.168.136.160:3000/project/19/interface/api/118][http_192.168.136.160_3000_project_19_interface_api_118]

![2b21e4e442774a09b2ddee81b5bb15cc.png][] ![4e536ee4f9da414492b9017f1c9f5439.png][]

响应：

{
        "counts": 4698,
        "pagesize": 20,
        "pages": 58,
        "page": 16,
        "items": [
            {
                "id": 1011,
                "avatar": "assets/images/avatar_2.png",
                "nickname": "黑马小妹",
                "gender": "woman",
                "age": 23,
                "tags": [
                    "本科",
                    "年龄相仿",
                    "单身"
                ],
                "fateValue": 96
            },
            {
                "id": 2495,
                "avatar": "assets/images/avatar_1.png",
                "nickname": "米朵妹妹",
                "gender": "man",
                "age": 28,
                "tags": [
                    "年龄相仿",
                    "本科",
                    "单身"
                ],
                "fateValue": 87
            },
            {
                "id": 5708,
                "avatar": "assets/images/avatar_4.png",
                "nickname": "黑马小妹",
                "gender": "man",
                "age": 24,
                "tags": [
                    "单身",
                    "本科",
                    "年龄相仿"
                ],
                "fateValue": 94
            },
            {
                "id": 4768,
                "avatar": "assets/images/avatar_3.png",
                "nickname": "黑马小妹",
                "gender": "man",
                "age": 24,
                "tags": [
                    "年龄相仿",
                    "单身",
                    "本科"
                ],
                "fateValue": 80
            }
        ]
    }

#### 1.2、功能实现 ####

1.2.1 controller

`TanhuaController`编写推荐列表方法

/**
     * 查询分页推荐好友列表
     */
    @GetMapping("/recommendation")
    public ResponseEntity recommendation(RecommendUserDto dto) {
        PageResult pr = tanhuaService.recommendation(dto);
        return ResponseEntity.ok(pr);
    }

1.2.2 service

`TanhuaService`编写推荐列表方法

//查询分页推荐好友列表
    public PageResult recommendation(RecommendUserDto dto) {
        //1、获取用户id
        Long userId = UserHolder.getUserId();
        //2、调用recommendUserApi分页查询数据列表（PageResult -- RecommendUser）
        PageResult pr = recommendUserApi.queryRecommendUserList(dto.getPage(),dto.getPagesize(),userId);
        //3、获取分页中的RecommendUser数据列表
        List<RecommendUser> items = (List<RecommendUser>) pr.getItems();
        //4、判断列表是否为空
        if(items == null || items.size() <=0) {
            return pr;
        }
        //5、提取所有推荐的用户id列表
        List<Long> ids = CollUtil.getFieldValues(items, "userId", Long.class);
        UserInfo userInfo = new UserInfo();
        userInfo.setAge(dto.getAge());
        userInfo.setGender(dto.getGender());
        //6、构建查询条件，批量查询所有的用户详情
        Map<Long, UserInfo> map = userInfoApi.findByIds(ids, userInfo);
        //7、循环推荐的数据列表，构建vo对象
        List<TodayBest> list = new ArrayList<>();
        for (RecommendUser item : items) {
            UserInfo info = map.get(item.getUserId());
            if(info!=null) {
                TodayBest vo = TodayBest.init(info, item);
                list.add(vo);
            }
        }
        //8、构造返回值
        pr.setItems(list);
        return pr;
    }

1.2.3 API接口

在`RecommendUserApi` 接口和`RecommendUserApiImpl`实现类中添加方法查询

//分页查询
    public PageResult queryRecommendUserList(Integer page, Integer pagesize, Long toUserId) {
        //1、构建Criteria对象
        Criteria criteria = Criteria.where("toUserId").is(toUserId);
        //2、创建Query对象
        Query query = Query.query(criteria).with(Sort.by(Sort.Order.desc("score"))).limit(pagesize)
                .skip((page - 1) * pagesize);
        //3、调用mongoTemplate查询
        List<RecommendUser> list = mongoTemplate.find(query, RecommendUser.class);
        long count = mongoTemplate.count(query, RecommendUser.class);
        //4、构建返回值PageResult
        return  new PageResult(page,pagesize,count,list);
    }

1.2.4 请求dto对象

import lombok.AllArgsConstructor;
    import lombok.Data;
    import lombok.NoArgsConstructor;
    
    @Data
    @NoArgsConstructor
    @AllArgsConstructor
    public class RecommendUserDto {
    
        private Integer page = 1; //当前页数
        private Integer pagesize = 10; //页尺寸
        private String gender; //性别 man woman
        private String lastLogin; //近期登陆时间
        private Integer age; //年龄
        private String city; //居住地
        private String education; //学历
    }

### 2、MongoDB集群 ###

### 3、圈子功能 ###

#### 2.1、功能说明 ####

探花交友项目中的圈子功能，类似微信的朋友圈，基本的功能为：发布动态、浏览好友动态、浏览推荐动态、点赞、评论、喜欢等功能。

![3b4b23b058a34c4299b73e8ffc092d37.png][]

发布：

![c918b0c6d49944ddaebe1c03b1d874da.png][]

#### 1.2、实现方案分析 ####

对于圈子功能的实现，我们需要对它的功能特点做分析：

*  数据量会随着用户数增大而增大
 *  读多写少
 *  非好友看不到其动态内容
 *  ……

针对以上特点，我们来分析一下：

*  对于数据量大而言，显然不能够使用关系型数据库进行存储，我们需要通过MongoDB进行存储
 *  对于读多写少的应用，需要减少读取的成本
    
     *  比如说，一条SQL语句，单张表查询一定比多张表查询要快
 *  对于每个人数据在存储层面最好做到相互隔离，这样的话就不会有影响

**所以对于存储而言，主要是核心的4张表：**

*  发布表：记录了所有用户的发布的东西信息，如图片、视频等。
 *  自己时间线：相册是每个用户独立的，记录了该用户所发布的所有内容。
 *  好友时间线：所谓“刷朋友圈”，就是刷时间线，就是一个用户所有的朋友的发布内容。
 *  好友表：记录好友关系

#### 1.3、技术方案(重点) ####

根据之前我们的分析，对于技术方案而言，将采用MongoDB+Redis来实现，其中MongoDB负责存储，Redis负责缓存数据。

#### 1.4、表结构设计 ####

> **发布表：动态总记录表（记录每个人发送的动态详情）**

#表名：movement
    {
        "_id": ObjectId("5e82dc416401952928c211d8"),
        "pid": NumberLong("10064"),
        "userId": NumberLong("6"),
        "textContent": "最悲伤却又是最痛苦的谎言，就是我还好，没有关系。",
        "medias": [
            "https://tanhua-dev.oss-cn-zhangjiakou.aliyuncs.com/photo/7/1.jpg",
            "https://tanhua-dev.oss-cn-zhangjiakou.aliyuncs.com/photo/7/1564567349498.jpg",
            "https://tanhua-dev.oss-cn-zhangjiakou.aliyuncs.com/photo/7/1564567352977.jpg",
            "https://tanhua-dev.oss-cn-zhangjiakou.aliyuncs.com/photo/7/1564567360406.jpg"
        ],
        "longitude": "121.588627",
        "latitude": "30.935781",
        "state": NumberInt("0"),
        "locationName": "中国上海市奉贤区人民路445弄",
        "created": NumberLong("1585634369493"),
        "_class": "com.tanhua.dubbo.server.pojo.Publish"
    }

> **好友时间线表：记录当前好友发布的动态数据**

#表名：movement_timeline
    {
        "_id": ObjectId("609cf6538743d448c02c61f0"),
        "movementId": ObjectId("609cf6538743d448c02c61ef"),
        "userId": NumberLong("106"),
        "friendId": NumberLong("1"),
        "created": NumberLong("1620899411043"),
        "_class": "com.tanhua.model.mongo.MovementTimeLine"
    }

> **好友关系表：记录好友的双向关系（双向）**

#表名：friend
    {
        "_id": ObjectId("6018bc055098b2230031e2da"),
        "created": NumberLong("1612233733056"),
        "userId": NumberLong("1"),
        "friendId": NumberLong("106"),
        "_class": "com.itheima.domain.mongo.Friend"
    }

### 4、圈子实现 ###

#### 3.1、环境搭建 ####

Mongodb中实现字段的自增：两种解决方法（1、使用redis保证自动增长，2、使用mongodb自定义表）

3.1.1、mongo主键自增

> 第一步：创建实体类

package com.tanhua.domain.mongo;
    
    import lombok.AllArgsConstructor;
    import lombok.Data;
    import lombok.NoArgsConstructor;
    import org.bson.types.ObjectId;
    import org.springframework.data.annotation.Id;
    import org.springframework.data.mongodb.core.mapping.Document;
    import org.springframework.data.mongodb.core.mapping.Field;
    
    @Document(collection = "sequence")
    @Data
    @AllArgsConstructor
    @NoArgsConstructor
    public class Sequence {
    
        private ObjectId id;
    
        private long seqId; //自增序列
    
        private String collName;  //集合名称
    }

> 第二步：编写service

package com.tanhua.dubbo.utils;
    
    import com.tanhua.domain.mongo.Sequence;
    import org.springframework.beans.factory.annotation.Autowired;
    import org.springframework.data.mongodb.core.FindAndModifyOptions;
    import org.springframework.data.mongodb.core.MongoTemplate;
    import org.springframework.data.mongodb.core.query.Criteria;
    import org.springframework.data.mongodb.core.query.Query;
    import org.springframework.data.mongodb.core.query.Update;
    import org.springframework.stereotype.Component;
    
    @Component
    public class IdWorker {
    
        @Autowired
        private MongoTemplate mongoTemplate;
    
        public Long getNextId(String collName) {
            Query query = new Query(Criteria.where("collName").is(collName));
    
            Update update = new Update();
            update.inc("seqId", 1);
    
            FindAndModifyOptions options = new FindAndModifyOptions();
            options.upsert(true);
            options.returnNew(true);
    
            Sequence sequence = mongoTemplate.findAndModify(query, update, options, Sequence.class);
            return sequence.getSeqId();
        }
    }

3.1.2、实体类

写到tanhua-domain工程中：

Movement

Movement：发布信息表（总记录表数据）

package com.tanhua.domain.mongo;
    
    import lombok.AllArgsConstructor;
    import lombok.Data;
    import lombok.NoArgsConstructor;
    import org.bson.types.ObjectId;
    import org.springframework.data.mongodb.core.mapping.Document;
    
    import java.util.List;
    
    //动态详情表
    @Data
    @NoArgsConstructor
    @AllArgsConstructor
    @Document(collection = "movement")
    public class Movement implements java.io.Serializable {
    
    
        private ObjectId id; //主键id
        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 url
        private 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
    }

MovementTimeLine

MovementTimeLine：好友时间线表，用于存储好友发布（或推荐）的数据，每一个用户一张表进行存储

package com.tanhua.domain.mongo;
    
    import lombok.AllArgsConstructor;
    import lombok.Data;
    import lombok.NoArgsConstructor;
    import org.bson.types.ObjectId;
    import org.springframework.data.mongodb.core.mapping.Document;
    
    /**
     * 好友时间线表，用于存储好友发布的数据
     */
    @Data
    @NoArgsConstructor
    @AllArgsConstructor
    @Document(collection = "movement_timeLine")
    public class MovementTimeLine implements java.io.Serializable {
    
        private static final long serialVersionUID = 9096178416317502524L;
        private ObjectId id;
        private ObjectId movementId;//动态id
        private Long userId;   //发布动态用户id
        private Long friendId; // 可见好友id
        private Long created; //发布的时间
    }

Friend

Friend 好友关系表

3.1.3、API接口

package com.tanhua.dubbo.api.mongo;
    
    import com.tanhua.domain.mongo.Publish;
    import com.tanhua.domain.vo.PageResult;
    
    public interface MovementApi {
    
    }

3.1.4、API实现类

package com.tanhua.dubbo.api.mongo;
    
    import com.tanhua.domain.mongo.*;
    import com.tanhua.domain.vo.PageResult;
    import com.tanhua.dubbo.utils.IdService;
    import org.apache.dubbo.config.annotation.Service;
    import org.bson.types.ObjectId;
    import org.springframework.beans.factory.annotation.Autowired;
    import org.springframework.data.domain.PageRequest;
    import org.springframework.data.domain.Pageable;
    import org.springframework.data.domain.Sort;
    import org.springframework.data.mongodb.core.MongoTemplate;
    import org.springframework.data.mongodb.core.query.Criteria;
    import org.springframework.data.mongodb.core.query.Query;
    
    import java.util.ArrayList;
    import java.util.List;
    
    @Service
    public class MovementApiImpl implements PublishApi {
    
    }

3.1.5、MovementsController

package com.tanhua.server.controller;
    
    import com.tanhua.domain.mongo.Publish;
    import com.tanhua.server.service.MovementsService;
    import org.springframework.beans.factory.annotation.Autowired;
    import org.springframework.http.ResponseEntity;
    import org.springframework.web.bind.annotation.*;
    import org.springframework.web.multipart.MultipartFile;
    
    import java.io.IOException;
    
    @RestController
    @RequestMapping("/movements")
    public class MovementsController {
    
        @Autowired
        private MovementsService movementsService;
    
    }

3.1.6、MovementsService

package com.tanhua.server.service;
    
    import com.tanhua.autoconfig.templates.OssTemplate;
    import com.tanhua.domain.db.UserInfo;
    import com.tanhua.domain.mongo.Publish;
    import com.tanhua.domain.vo.Movements;
    import com.tanhua.domain.vo.PageResult;
    import com.tanhua.dubbo.api.UserInfoApi;
    import com.tanhua.dubbo.api.mongo.PublishApi;
    import com.tanhua.server.interceptor.UserHolder;
    import io.jsonwebtoken.lang.Collections;
    import org.apache.dubbo.config.annotation.Reference;
    import org.springframework.beans.BeanUtils;
    import org.springframework.beans.factory.annotation.Autowired;
    import org.springframework.http.ResponseEntity;
    import org.springframework.stereotype.Service;
    import org.springframework.util.StringUtils;
    import org.springframework.web.multipart.MultipartFile;
    
    import java.io.IOException;
    import java.text.SimpleDateFormat;
    import java.util.*;
    
    @Service
    public class MovementsService {
    
        @Autowired
        private OssTemplate ossTemplate;
    
        @DubboReference
        private MovementApi movementApi;
    
        @DubboReference
        private UserInfoApi userInfoApi;
    
        @Autowired
        private RedisTemplate<String,String> redisTemplate;
    }

#### 3.2、发布动态 ####

后续的测试：使用106（13800138000）和1号用户（13500000000）

3.2.0、思路步骤

![2575be518cfa4fd7893f0b2f3bc2a5ee.png][]

3.2.1、MovementsController

`tanhua-server`工程编写MovementsController，完成发布动态功能

@RestController
    @RequestMapping("/movements")
    public class MovementController {
    
        @Autowired
        private MovementService movementService;
    
        @Autowired
        private CommentsService commentsService;
    
        /**
         * 发布动态
         */
        @PostMapping
        public ResponseEntity movements(Movement movement,
                                        MultipartFile imageContent[]) throws IOException {
            movementService.publishMovement(movement,imageContent);
            return ResponseEntity.ok(null);
        }
    }

3.2.2、编写service

`tanhua-server`工程编写MovementsService，完成发布动态功能

/**
     * 发布动态
     */
    public void publishMovement(Movement movement, MultipartFile[] imageContent) throws IOException {
        //1、判断发布动态的内容是否存在
        if(StringUtils.isEmpty(movement.getTextContent())) {
            throw  new BusinessException(ErrorResult.contentError());
        }
        //2、获取当前登录的用户id
        Long userId = UserHolder.getUserId();
        //3、将文件内容上传到阿里云OSS，获取请求地址
        List<String> medias = new ArrayList<>();
        for (MultipartFile multipartFile : imageContent) {
            String upload = ossTemplate.upload(multipartFile.getOriginalFilename(), multipartFile.getInputStream());
            medias.add(upload);
        }
        //4、将数据封装到Movement对象
        movement.setUserId(userId);
        movement.setMedias(medias);
        //5、调用API完成发布动态
        movementApi.publish(movement);
    }

3.2.3、API层

package com.tanhua.dubbo.api;
    
    import com.tanhua.dubbo.utils.IdWorker;
    import com.tanhua.dubbo.utils.TimeLineService;
    import com.tanhua.model.mongo.Movement;
    import com.tanhua.model.vo.PageResult;
    import org.apache.dubbo.config.annotation.DubboService;
    import org.springframework.beans.factory.annotation.Autowired;
    import org.springframework.data.domain.Sort;
    import org.springframework.data.mongodb.core.MongoTemplate;
    import org.springframework.data.mongodb.core.query.Criteria;
    import org.springframework.data.mongodb.core.query.Query;
    
    import java.util.List;
    
    @DubboService
    public class MovementApiImpl implements MovementApi{
    
        @Autowired
        private MongoTemplate mongoTemplate;
    
        @Autowired
        private IdWorker idWorker;
    
        @Autowired
        private TimeLineService timeLineService;
    
        //发布动态
        public void publish(Movement movement) {
            //1、保存动态详情
            try {
                //设置PID
                movement.setPid(idWorker.getNextId("movement"));
                //设置时间
                movement.setCreated(System.currentTimeMillis());
                //movement.setId(ObjectId.get());
                mongoTemplate.save(movement);
    //            //2、查询当前用户的好友数据
    //            Criteria criteria = Criteria.where("userId").is(movement.getUserId());
    //            Query query = Query.query(criteria);
    //            List<Friend> friends = mongoTemplate.find(query, Friend.class);
    //            Thread.sleep(10000);
    //            //3、循环好友数据，构建时间线数据存入数据库
    //            for (Friend friend : friends) {
    //                MovementTimeLine timeLine = new MovementTimeLine();
    //                timeLine.setMovementId(movement.getId());
    //                timeLine.setUserId(friend.getUserId());
    //                timeLine.setFriendId(friend.getFriendId());
    //                timeLine.setCreated(System.currentTimeMillis());
    //                mongoTemplate.save(timeLine);
    //            }
                timeLineService.saveTimeLine(movement.getUserId(),movement.getId());
            } catch (Exception e) {
                //忽略事务处理
                e.printStackTrace();
            }
        }
    }

3.2.4、异步处理工具类

@Component
    public class TimeLineService {
    
        @Autowired
        private MongoTemplate mongoTemplate;
    
        @Async
        public void saveTimeLine(Long userId, ObjectId movementId) {
            //2、查询当前用户的好友数据
            Criteria criteria = Criteria.where("userId").is(userId);
            Query query = Query.query(criteria);
            List<Friend> friends = mongoTemplate.find(query, Friend.class);
            try {
                Thread.sleep(10000);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
            //3、循环好友数据，构建时间线数据存入数据库
            for (Friend friend : friends) {
                MovementTimeLine timeLine = new MovementTimeLine();
                timeLine.setMovementId(movementId);
                timeLine.setUserId(friend.getUserId());
                timeLine.setFriendId(friend.getFriendId());
                timeLine.setCreated(System.currentTimeMillis());
                mongoTemplate.save(timeLine);
            }
        }
    }

3.2.5、整合测试

@RunWith(SpringRunner.class)
    @SpringBootTest(classes = AppServerApplication.class)
    public class MovementApiTest {
    
        @DubboReference
        private MovementApi movementApi;
    
        @Test
        public void testPublish() {
            Movement movement = new Movement();
            movement.setUserId(106l);
            movement.setTextContent("你的酒窝没有酒，我却醉的像条狗");
            List<String> list = new ArrayList<>();
            list.add("https://tanhua-dev.oss-cn-zhangjiakou.aliyuncs.com/images/tanhua/avatar_1.png");
            list.add("https://tanhua-dev.oss-cn-zhangjiakou.aliyuncs.com/images/tanhua/avatar_2.png");
            movement.setMedias(list);
            movement.setLatitude("40.066355");
            movement.setLongitude("116.350426");
            movement.setLocationName("中国北京市昌平区建材城西路16号");
            movementApi.publish(movement);
        }
    }

#### 3.3、查询个人动态 ####

查询好友动态其实就是查询自己的时间线表，好友在发动态时已经将动态信息写入到了自己的时间线表中。

3.3.0、思路分析

![8b47e1af7cf444508869fc088710bde3.png][]

3.3.1、vo对象

package com.tanhua.model.vo;
    
    import com.tanhua.model.domain.UserInfo;
    import com.tanhua.model.mongo.Movement;
    import lombok.AllArgsConstructor;
    import lombok.Data;
    import lombok.NoArgsConstructor;
    import org.springframework.beans.BeanUtils;
    import org.springframework.util.StringUtils;
    
    import java.io.Serializable;
    import java.text.SimpleDateFormat;
    import java.util.Date;
    
    @Data
    @NoArgsConstructor
    @AllArgsConstructor
    public class MovementsVo  implements Serializable {
    
        private String id; //动态id
    
        private Long userId; //用户id
        private String avatar; //头像
        private String nickname; //昵称
        private String gender; //性别 man woman
        private Integer age; //年龄
        private String[] tags; //标签
    
    
        private String textContent; //文字动态
        private String[] imageContent; //图片动态
        private String distance; //距离
        private String createDate; //发布时间 如: 10分钟前
        private Integer likeCount; //点赞数
        private Integer commentCount; //评论数
        private Integer loveCount; //喜欢数
    
    
        private Integer hasLiked; //是否点赞（1是，0否）
        private Integer hasLoved; //是否喜欢（1是，0否）
    
    
        public static MovementsVo init(UserInfo userInfo, Movement item) {
            MovementsVo vo = new MovementsVo();
            //设置动态数据
            BeanUtils.copyProperties(item, vo);
            vo.setId(item.getId().toHexString());
            //设置用户数据
            BeanUtils.copyProperties(userInfo, vo);
            if(!StringUtils.isEmpty(userInfo.getTags())) {
                vo.setTags(userInfo.getTags().split(","));
            }
            //图片列表
            vo.setImageContent(item.getMedias().toArray(new String[]{}));
            //距离
            vo.setDistance("500米");
            Date date = new Date(item.getCreated());
            vo.setCreateDate(new SimpleDateFormat("yyyy-MM-dd hh:mm:ss").format(date));
            //设置是否点赞(后续处理)
            vo.setHasLoved(0);
            vo.setHasLiked(0);
            return vo;
        }
    }

3.3.2、controller

修改`MovementsController`完成查询好友动态功能

/**
     * 查询我的动态
     */
    @GetMapping("/all")
    public ResponseEntity findByUserId(Long userId,
                                       @RequestParam(defaultValue = "1") Integer page,
                                       @RequestParam(defaultValue = "10") Integer pagesize) {
        PageResult pr = movementService.findByUserId(userId,page,pagesize);
        return ResponseEntity.ok(pr);
    }

3.3.3、service

修改`MovementsService`完成查询好友动态功能

//查询个人动态
    public PageResult findByUserId(Long userId, Integer page, Integer pagesize) {
        //1、根据用户id，调用API查询个人动态内容（PageResult  -- Movement）
        PageResult pr = movementApi.findByUserId(userId,page,pagesize);
        //2、获取PageResult中的item列表对象
        List<Movement> items = (List<Movement>) pr.getItems();
        //3、非空判断
        if(items == null) {
            return pr;
        }
        //4、循环数据列表
        UserInfo userInfo = userInfoApi.findById(userId);
        List<MovementsVo> vos = new ArrayList<>();
        for (Movement item : items) {
            //5、一个Movement构建一个Vo对象
            MovementsVo vo = MovementsVo.init(userInfo, item);
            vos.add(vo);
        }
        //6、构建返回值
        pr.setItems(vos);
        return pr;
    }

3.3.4、API层

修改`PublishApi`和`PublishApiImpl`完成查询好友动态功能

@Override
    public PageResult findByUserId(Long userId, Integer page, Integer pagesize) {
        Criteria criteria = Criteria.where("userId").is(userId);
        Query query = Query.query(criteria).skip((page -1 ) * pagesize).limit(pagesize)
                .with(Sort.by(Sort.Order.desc("created")));
        List<Movement> movements = mongoTemplate.find(query, Movement.class);
        return new PageResult(page,pagesize,0l,movements);
    }

3.3.5、测试

![68d3dccefacd4a75b3ed9cb8a337bff0.png][]

[d29aa58a74944a16b7ca25757b311103.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/03/24/e7c8ec4ebf5c431288ffb42feecb9bff.png
[http_192.168.136.160_3000_project_19_interface_api_118]: http://192.168.136.160:3000/project/19/interface/api/118
[2b21e4e442774a09b2ddee81b5bb15cc.png]: https://img-blog.csdnimg.cn/2b21e4e442774a09b2ddee81b5bb15cc.png
[4e536ee4f9da414492b9017f1c9f5439.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/03/24/5df242ff94f64e6aaf9e4691a433d4fb.png
[3b4b23b058a34c4299b73e8ffc092d37.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/03/24/eb7931b3e30e48c280d3eee70c360630.png
[c918b0c6d49944ddaebe1c03b1d874da.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/03/24/23c163aff6814b97b6b070a3b5fa3849.png
[2575be518cfa4fd7893f0b2f3bc2a5ee.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/03/24/ef12cfd20be64c99ad112fc00cf8fe40.png
[8b47e1af7cf444508869fc088710bde3.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/03/24/194aa4787fc743a1a860a5671aad249d.png
[68d3dccefacd4a75b3ed9cb8a337bff0.png]: https://image.dandelioncloud.cn/pgy_files/images/2024/03/24/95802fa6079446a3b67b28e6d1d27d60.png