连接多个集合,组,对推数组进行排序并重组结果的MongoDB查询

如何解决连接多个集合,组,对推数组进行排序并重组结果的MongoDB查询

MongoDB Playground链接here。以下列出了DataDesired Result。学生可以一次又一次地参加同一门课程。我希望结果与_id: 1的学生匹配,然后按课程分组,然后按学期排序startDate并仅返回最近的学期。这可能吗?

数据

db={
  registers: [
    {
      _id: 1,student: 1,school: 1,course: 1,semester: 1,grade: 59
    },{
      _id: 2,semester: 2,grade: 99
    },{
      _id: 3,school: 2,course: 2,semester: 3,grade: 100
    }
  ],students: [
    {
      _id: 1,name: "Student1"
    },name: "Student2"
    }
  ],schools: [
    {
      _id: 1,name: "Zefram Cochrane High School"
    },name: "Star Fleet Academy"
    }
  ],courses: [
    {
      _id: 1,name: "Warp Theory"
    },name: "Temporal Mechanics"
    }
  ],semesters: [
    {
      _id: 1,name: "Fall 2320",startDate: ISODate("2320-02-01"),endDate: ISODate("2320-05-31")
    },startDate: ISODate("2320-09-01"),endDate: ISODate("2320-12-31")
    },name: "Spring 2321",startDate: ISODate("2321-02-01"),endDate: ISODate("2321-05-31")
    }
  ]
}

期望结果

[
  {
    "course": {
      "name": "Warp Theory"
    },"grade": 99,"school": {
      "name": "Zefram Cochrane High School"
    },"semester": {
      "endDate": ISODate("2320-12-31T00:00:00Z"),"name": "Fall 2320","startDate": ISODate("2320-09-01T00:00:00Z")
    },"student": {
      "name": "Student1"
    }
  },{
    "course": {
      "name": "Temporal Mechanics"
    },"grade": 100,"school": {
      "name": "Star Fleet Academy"
    },"semester": {
      "endDate": ISODate("2321-05-31T00:00:00Z"),"name": "Spring 2321","startDate": ISODate("2321-02-01T00:00:00Z")
    },"student": {
      "name": "Student1"
    }
  }
]

解决方法

我将仅简要介绍这些更改:

  • 过滤最大startDate
  • 包含的成绩
  • 试图略微改善您要求的格式。 (可以回滚)

输出

[
  {
    "course": "Warp Theory","grade": 99,"school": "Zefram Cochrane High School","semester": {
      "endDate": ISODate("2320-12-31T00:00:00Z"),"startDate": ISODate("2320-09-01T00:00:00Z")
    },"student": "Student1"
  },{
    "course": "Temporal Mechanics","grade": 100,"school": "Star Fleet Academy","semester": {
      "endDate": ISODate("2321-05-31T00:00:00Z"),"startDate": ISODate("2321-02-01T00:00:00Z")
    },"student": "Student1"
  }
]

管道

db.registers.aggregate([
  {
    $match: {
      student: 1
    }
  },{
    $lookup: {
      from: "students",localField: "student",foreignField: "_id",as: "student"
    }
  },{
    $unwind: "$student"
  },{
    $lookup: {
      from: "schools",localField: "school",as: "school"
    }
  },{
    $unwind: "$school"
  },{
    $lookup: {
      from: "courses",localField: "course",as: "course"
    }
  },{
    $unwind: "$course"
  },{
    $lookup: {
      from: "semesters",localField: "semester",as: "semester"
    },},{
    $unwind: "$semester"
  },{
    "$addFields": {
      "semester.grade": "$grade"
    }
  },{
    $group: {
      _id: {
        course: "$course.name",school: "$school.name",student: "$student.name"
      },semester: {
        $push: "$semester"
      },max: {
        $max: "$semester.startDate"
      }
    }
  },{
    $addFields: {
      course: "$_id.course",school: "$_id.school",student: "$_id.student",semester: {
        $filter: {
          input: "$semester",as: "s",cond: {
            $eq: [
              "$$s.startDate","$max"
            ]
          }
        }
      }
    }
  },{
    $addFields: {
      "grade": "$semester.grade"
    }
  },{
    $unset: [
      "max","_id","semester._id","semester.grade","semester.name"
    ]
  },{
    $unwind: "$grade"
  }
])

版权声明:本文内容由互联网用户自发贡献,该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容, 请发送邮件至 dio@foxmail.com 举报,一经查实,本站将立刻删除。

相关推荐


使用本地python环境可以成功执行 import pandas as pd import matplotlib.pyplot as plt # 设置字体 plt.rcParams['font.sans-serif'] = ['SimHei'] # 能正确显示负号 p
错误1:Request method ‘DELETE‘ not supported 错误还原:controller层有一个接口,访问该接口时报错:Request method ‘DELETE‘ not supported 错误原因:没有接收到前端传入的参数,修改为如下 参考 错误2:cannot r
错误1:启动docker镜像时报错:Error response from daemon: driver failed programming external connectivity on endpoint quirky_allen 解决方法:重启docker -> systemctl r
错误1:private field ‘xxx‘ is never assigned 按Altʾnter快捷键,选择第2项 参考:https://blog.csdn.net/shi_hong_fei_hei/article/details/88814070 错误2:启动时报错,不能找到主启动类 #
报错如下,通过源不能下载,最后警告pip需升级版本 Requirement already satisfied: pip in c:\users\ychen\appdata\local\programs\python\python310\lib\site-packages (22.0.4) Coll
错误1:maven打包报错 错误还原:使用maven打包项目时报错如下 [ERROR] Failed to execute goal org.apache.maven.plugins:maven-resources-plugin:3.2.0:resources (default-resources)
错误1:服务调用时报错 服务消费者模块assess通过openFeign调用服务提供者模块hires 如下为服务提供者模块hires的控制层接口 @RestController @RequestMapping("/hires") public class FeignControl
错误1:运行项目后报如下错误 解决方案 报错2:Failed to execute goal org.apache.maven.plugins:maven-compiler-plugin:3.8.1:compile (default-compile) on project sb 解决方案:在pom.
参考 错误原因 过滤器或拦截器在生效时,redisTemplate还没有注入 解决方案:在注入容器时就生效 @Component //项目运行时就注入Spring容器 public class RedisBean { @Resource private RedisTemplate<String
使用vite构建项目报错 C:\Users\ychen\work>npm init @vitejs/app @vitejs/create-app is deprecated, use npm init vite instead C:\Users\ychen\AppData\Local\npm-
参考1 参考2 解决方案 # 点击安装源 协议选择 http:// 路径填写 mirrors.aliyun.com/centos/8.3.2011/BaseOS/x86_64/os URL类型 软件库URL 其他路径 # 版本 7 mirrors.aliyun.com/centos/7/os/x86
报错1 [root@slave1 data_mocker]# kafka-console-consumer.sh --bootstrap-server slave1:9092 --topic topic_db [2023-12-19 18:31:12,770] WARN [Consumer clie
错误1 # 重写数据 hive (edu)> insert overwrite table dwd_trade_cart_add_inc > select data.id, > data.user_id, > data.course_id, > date_format(
错误1 hive (edu)> insert into huanhuan values(1,'haoge'); Query ID = root_20240110071417_fe1517ad-3607-41f4-bdcf-d00b98ac443e Total jobs = 1
报错1:执行到如下就不执行了,没有显示Successfully registered new MBean. [root@slave1 bin]# /usr/local/software/flume-1.9.0/bin/flume-ng agent -n a1 -c /usr/local/softwa
虚拟及没有启动任何服务器查看jps会显示jps,如果没有显示任何东西 [root@slave2 ~]# jps 9647 Jps 解决方案 # 进入/tmp查看 [root@slave1 dfs]# cd /tmp [root@slave1 tmp]# ll 总用量 48 drwxr-xr-x. 2
报错1 hive> show databases; OK Failed with exception java.io.IOException:java.lang.RuntimeException: Error in configuring object Time taken: 0.474 se
报错1 [root@localhost ~]# vim -bash: vim: 未找到命令 安装vim yum -y install vim* # 查看是否安装成功 [root@hadoop01 hadoop]# rpm -qa |grep vim vim-X11-7.4.629-8.el7_9.x
修改hadoop配置 vi /usr/local/software/hadoop-2.9.2/etc/hadoop/yarn-site.xml # 添加如下 <configuration> <property> <name>yarn.nodemanager.res