记一次mongodb聚合查询
先说一下场景，产品中用到了简单的表单构造器，开始提供了一系列的控件，例如单行文本框、多行文本框、单选、复选、时间等，之后你可以拖拽控件自己组装你想要的表单……网上有很多的表单构造器，这里就不细说了，可能功能有多有少，但是原理类似。因为这种表单的这种实现方式，我们不单单要存储表单的真实数据，还要存储对应表单的配置数据来渲染表单的样子。这里不细说配置相关的事情，细说一下表单数据的存储和查询。
对于一条记录有很多共有属性：主键ID、创建用户ID、创建时间、表单ID（用于读取表单配置）等一些业务数据，这里着重说一下表单ID也就是下面演示中提到的TableCode,我们这种存储方式可以将业务上的多种表都存储在现在的一张表中，所以必须要一个字段来区分这条记录存储的具体是什么信息，以方便在查询时找到具体的数据；还有一些就是具体的表单项了。我们采用的是Mongodb存储，不用想肯定是复杂结构了，数组或者键值对对象……也不知道什么原因了，我们采用的是数组，这里记作FormItems，FormItems列中存储着所有的表单项，具体的看一下数据库的存储结构：
{
"_id" : "1",
"CreateUserName" : "ddz1",
"CreateDate" : "2018-02-07",
"FormItems" : [
{
"key" : "CarBrand",
"value" : "红旗"
},
{
"key" : "VehicleType",
"value" : "H7"
},
{
"key" : "CarNum",
"value" : "京A00001"
},
{
"key" : "PurchaseDate",
"value" : "2019-01-01"
}
],
"TableCode" : "CarInfo"
}
上面看到是一个缩减版的结构（为了方便演示），简单的介绍一下：TableCode-表单名称，FormItems数组中存储着所有的表单项，key本来是唯一值，这里仅仅为了演示所以如此，value就是具体的表单项的值了。查询演示用到了三张表，第一张表如上，车辆信息表：车牌子、车型、牌照、购买日期等；车辆维修表：车辆ID、花费、内容；出车记录表：车辆ID、收入、里程、备注。首先插入一些数据：
try{
db.t1.insertMany([{
"_id": "1",
"CreateUserName": "ddz1",
"CreateDate": "2018-02-07",
"FormItems": [{
"key": "CarBrand",
"value": "红旗"
},
{
"key": "VehicleType",
"value": "H7"
},
{
"key": "CarNum",
"value": "京A00001"
},
{
"key": "PurchaseDate",
"value": "2019-01-01"
}],
"TableCode": "CarInfo"
},{
"_id": "2",
"CreateUserName": "ddz1",
"CreateDate": "2018-02-08",
"FormItems": [{
"key": "CarBrand",
"value": "红旗"
},
{
"key": "VehicleType",
"value": "H5"
},
{
"key": "CarNum",
"value": "京A00002"
},
{
"key": "PurchaseDate",
"value": "2019-02-01"
}],
"TableCode": "CarInfo"
},{
"_id": "3",
"CreateUserName": "ddz1",
"CreateDate": "2018-02-09",
"FormItems": [{
"key": "CarBrand",
"value": "红旗"
},
{
"key": "VehicleType",
"value": "L5"
},
{
"key": "CarNum",
"value": "京A00003"
},
{
"key": "PurchaseDate",
"value": "2019-03-01"
}],
"TableCode": "CarInfo"
},
{
"_id": "4",
"CreateUserName": "ddz1",
"CreateDate": "2018-02-10",
"FormItems": [{
"key": "CarBrand",
"value": "长城"
},
{
"key": "VehicleType",
"value": "哈弗H6"
},
{
"key": "CarNum",
"value": "京A00004"
},
{
"key": "PurchaseDate",
"value": "2018-03-01"
}],
"TableCode": "CarInfo"
},{
"_id": "5",
"CreateUserName": "ddz1",
"CreateDate": "2018-02-09",
"FormItems": [{
"key": "CarBrand",
"value": "长城"
},
{
"key": "VehicleType",
"value": "哈弗H5"
},
{
"key": "CarNum",
"value": "京A00005"
},
{
"key": "PurchaseDate",
"value": "2018-03-01"
}],
"TableCode": "CarInfo"
},{
"_id": "6",
"CreateUserName": "ddz1",
"CreateDate": "2018-03-09",
"FormItems": [{
"key": "CarBrand",
"value": "长城"
},
{
"key": "VehicleType",
"value": "哈弗H4"
},
{
"key": "CarNum",
"value": "京A00006"
},
{
"key": "PurchaseDate",
"value": "2018-03-01"
}],
"TableCode": "CarInfo"
},{
"_id": "7",
"CreateUserName": "ddz100",
"CreateDate": "2018-06-06",
"FormItems": [{
"key": "CarId",
"value": "1"
},
{
"key": "Cost",
"value": 100
},
{
"key": "Contents",
"value": "喷漆"
}],
"TableCode": "MaintenanceRecord"
},{
"_id": "8",
"CreateUserName": "ddz100",
"CreateDate": "2018-08-06",
"FormItems": [{
"key": "CarId",
"value": "1"
},
{
"key": "Cost",
"value": 25
},
{
"key": "Contents",
"value": "洗车"
}],
"TableCode": "MaintenanceRecord"
},{
"_id": "9",
"CreateUserName": "ddz101",
"CreateDate": "2018-06-03",
"FormItems": [{
"key": "CarId",
"value": "2"
},
{
"key": "Cost",
"value": 1560
},
{
"key": "Contents",
"value": "换轮胎"
}],
"TableCode": "MaintenanceRecord"
},{
"_id": "10",
"CreateUserName": "ddz102",
"CreateDate": "2018-06-26",
"FormItems": [{
"key": "CarId",
"value": "3"
},
{
"key": "Cost",
"value": 36
},
{
"key": "Contents",
"value": "爆胎"
}],
"TableCode": "MaintenanceRecord"
},{
"_id": "11",
"CreateUserName": "ddz103",
"CreateDate": "2018-09-08",
"FormItems": [{
"key": "CarId",
"value": "3"
},
{
"key": "Cost",
"value": 1630
},
{
"key": "Contents",
"value": "换加速器"
}],
"TableCode": "MaintenanceRecord"
},{
"_id": "12",
"CreateUserName": "ddz10",
"CreateDate": "2018-06-06",
"FormItems": [{
"key": "CarId",
"value": "1"
},
{
"key": "Income",
"value": 106
},
{
"key": "Mileage",
"value": 50
},
{
"key": "Remarks",
"value": "123"
}],
"TableCode": "DispatchRecord"
},{
"_id": "13",
"CreateUserName": "ddz11",
"CreateDate": "2018-06-16",
"FormItems": [{
"key": "CarId",
"value": "1"
},
{
"key": "Income",
"value": 250
},
{
"key": "Mileage",
"value": 100
},
{
"key": "Remarks",
"value": "123"
}],
"TableCode": "DispatchRecord"
},{
"_id": "14",
"CreateUserName": "ddz12",
"CreateDate": "2018-06-16",
"FormItems": [{
"key": "CarId",
"value": "2"
},
{
"key": "Income",
"value": 1000
},
{
"key": "Mileage",
"value": 630
},
{
"key": "Remarks",
"value": "2345sfgfg"
}],
"TableCode": "DispatchRecord"
},{
"_id": "15",
"CreateUserName": "ddz12",
"CreateDate": "2018-08-16",
"FormItems": [{
"key": "CarId",
"value": "3"
},
{
"key": "Income",
"value": 1213
},
{
"key": "Mileage",
"value": 569
},
{
"key": "Remarks",
"value": "12asdfasdfasdf3"
}],
"TableCode": "DispatchRecord"
}]);
}catch(e){
print(e);
}
这种存储方式有一定的好处，但是弊端也很明显：查询、排序等很费劲，如果服务器端以这样的方式返回客户端，客户端还得解析FormItems，非常不友好（感觉自己在给自己找麻烦）……所以我就想看看能不能在所有的查询操作之前，首先处理一下数据，将FormItems中的表单项都提到文档的最外层和公共字段一个层次，之后在进行查询排序似乎就简单点了，为了实现这个目标真是废了九牛二虎之力，道路相当坎坷，经历的时间也很长，不过最终好在找到一个例子解决了我们的问题：https://jira.mongodb.org/browse/SERVER-5947 。在此表示感谢，非常感谢……在这之后又遇到了一个问题就是：在关联查询时mongodb的处理方式是将所有的相关联的数据存储在一个属性中，因为我们所有的“表”都存在这一个表中，所以关联的也是这一张表，也就是关联自己查询，结果得到关联的数据还是没有处理之前的样子，相同的数据最后的结构都不一样，都不好意思返回客户端，这个问题比之前的问题更费劲……不知道度过了多少天，我的一个同事说弄出来了，我就有点……所以我也想尝试一下，最后废了半天劲儿终于弄出来，不知道和同事弄的一样不一样，这里只能吐槽mongodb你怎么能这样……看一下代码：
db.getCollection('t1').aggregate([
{$addFields:
{
FormValueObj:{
$arrayToObject:{
$map:
{
input: "$FormItems",
as: "field",
in: ["$$field.key","$$field.value"]
}
}
}
}
},
{
$addFields:{
"FormValueObj._id":"$_id",
"FormValueObj.CreateUserName":"$CreateUserName",
"FormValueObj.CreateDate":"$CreateDate",
"FormValueObj.TableCode":"$TableCode"
}
},
{
$replaceRoot: { newRoot: "$FormValueObj" }
},
{
$lookup:{
from: "t1",
localField: "_id",
foreignField: "FormItems.value",
as: "RelationData1"
}
},
{
$addFields:{
RelationData1:{
$map:
{
input: "$RelationData1",
as: "tr",
in: {
$arrayToObject:{
$map:
{
input:{
$concatArrays: [
[
{key:"_id",value:"$$tr._id"},
{key:"CreateUserName",value:"$$tr.CreateUserName"},
{key:"CreateDate",value:"$$tr.CreateDate"},
{key:"TableCode",value:"$$tr.TableCode"},
],
"$$tr.FormItems" ]
},
as: "field",
in: ["$$field.key","$$field.value"]
}
}
}
}
}
}
}
])
查询语句
/* 1 */
{
"CarBrand" : "红旗",
"VehicleType" : "H7",
"CarNum" : "京A00001",
"PurchaseDate" : "2019-01-01",
"_id" : "1",
"CreateUserName" : "ddz1",
"CreateDate" : "2018-02-07",
"TableCode" : "CarInfo",
"RelationData1" : [
{
"_id" : "7",
"CreateUserName" : "ddz100",
"CreateDate" : "2018-06-06",
"TableCode" : "MaintenanceRecord",
"CarId" : "1",
"Cost" : 100.0,
"Contents" : "喷漆"
},
{
"_id" : "8",
"CreateUserName" : "ddz100",
"CreateDate" : "2018-08-06",
"TableCode" : "MaintenanceRecord",
"CarId" : "1",
"Cost" : 25.0,
"Contents" : "洗车"
},
{
"_id" : "12",
"CreateUserName" : "ddz10",
"CreateDate" : "2018-06-06",
"TableCode" : "DispatchRecord",
"CarId" : "1",
"Income" : 106.0,
"Mileage" : 50.0,
"Remarks" : "123"
},
{
"_id" : "13",
"CreateUserName" : "ddz11",
"CreateDate" : "2018-06-16",
"TableCode" : "DispatchRecord",
"CarId" : "1",
"Income" : 250.0,
"Mileage" : 100.0,
"Remarks" : "123"
}
]
} /* 2 */
{
"CarBrand" : "红旗",
"VehicleType" : "H5",
"CarNum" : "京A00002",
"PurchaseDate" : "2019-02-01",
"_id" : "2",
"CreateUserName" : "ddz1",
"CreateDate" : "2018-02-08",
"TableCode" : "CarInfo",
"RelationData1" : [
{
"_id" : "9",
"CreateUserName" : "ddz101",
"CreateDate" : "2018-06-03",
"TableCode" : "MaintenanceRecord",
"CarId" : "2",
"Cost" : 1560.0,
"Contents" : "换轮胎"
},
{
"_id" : "14",
"CreateUserName" : "ddz12",
"CreateDate" : "2018-06-16",
"TableCode" : "DispatchRecord",
"CarId" : "2",
"Income" : 1000.0,
"Mileage" : 630.0,
"Remarks" : "2345sfgfg"
}
]
} /* 3 */
{
"CarBrand" : "红旗",
"VehicleType" : "L5",
"CarNum" : "京A00003",
"PurchaseDate" : "2019-03-01",
"_id" : "3",
"CreateUserName" : "ddz1",
"CreateDate" : "2018-02-09",
"TableCode" : "CarInfo",
"RelationData1" : [
{
"_id" : "10",
"CreateUserName" : "ddz102",
"CreateDate" : "2018-06-26",
"TableCode" : "MaintenanceRecord",
"CarId" : "3",
"Cost" : 36.0,
"Contents" : "爆胎"
},
{
"_id" : "11",
"CreateUserName" : "ddz103",
"CreateDate" : "2018-09-08",
"TableCode" : "MaintenanceRecord",
"CarId" : "3",
"Cost" : 1630.0,
"Contents" : "换加速器"
},
{
"_id" : "15",
"CreateUserName" : "ddz12",
"CreateDate" : "2018-08-16",
"TableCode" : "DispatchRecord",
"CarId" : "3",
"Income" : 1213.0,
"Mileage" : 569.0,
"Remarks" : "12asdfasdfasdf3"
}
]
} /* 4 */
{
"CarBrand" : "长城",
"VehicleType" : "哈弗H6",
"CarNum" : "京A00004",
"PurchaseDate" : "2018-03-01",
"_id" : "4",
"CreateUserName" : "ddz1",
"CreateDate" : "2018-02-10",
"TableCode" : "CarInfo",
"RelationData1" : []
} /* 5 */
{
"CarBrand" : "长城",
"VehicleType" : "哈弗H5",
"CarNum" : "京A00005",
"PurchaseDate" : "2018-03-01",
"_id" : "5",
"CreateUserName" : "ddz1",
"CreateDate" : "2018-02-09",
"TableCode" : "CarInfo",
"RelationData1" : []
} /* 6 */
{
"CarBrand" : "长城",
"VehicleType" : "哈弗H4",
"CarNum" : "京A00006",
"PurchaseDate" : "2018-03-01",
"_id" : "6",
"CreateUserName" : "ddz1",
"CreateDate" : "2018-03-09",
"TableCode" : "CarInfo",
"RelationData1" : []
} /* 7 */
{
"CarId" : "1",
"Cost" : 100.0,
"Contents" : "喷漆",
"_id" : "7",
"CreateUserName" : "ddz100",
"CreateDate" : "2018-06-06",
"TableCode" : "MaintenanceRecord",
"RelationData1" : []
} /* 8 */
{
"CarId" : "1",
"Cost" : 25.0,
"Contents" : "洗车",
"_id" : "8",
"CreateUserName" : "ddz100",
"CreateDate" : "2018-08-06",
"TableCode" : "MaintenanceRecord",
"RelationData1" : []
} /* 9 */
{
"CarId" : "2",
"Cost" : 1560.0,
"Contents" : "换轮胎",
"_id" : "9",
"CreateUserName" : "ddz101",
"CreateDate" : "2018-06-03",
"TableCode" : "MaintenanceRecord",
"RelationData1" : []
} /* 10 */
{
"CarId" : "3",
"Cost" : 36.0,
"Contents" : "爆胎",
"_id" : "10",
"CreateUserName" : "ddz102",
"CreateDate" : "2018-06-26",
"TableCode" : "MaintenanceRecord",
"RelationData1" : []
} /* 11 */
{
"CarId" : "3",
"Cost" : 1630.0,
"Contents" : "换加速器",
"_id" : "11",
"CreateUserName" : "ddz103",
"CreateDate" : "2018-09-08",
"TableCode" : "MaintenanceRecord",
"RelationData1" : []
} /* 12 */
{
"CarId" : "1",
"Income" : 106.0,
"Mileage" : 50.0,
"Remarks" : "123",
"_id" : "12",
"CreateUserName" : "ddz10",
"CreateDate" : "2018-06-06",
"TableCode" : "DispatchRecord",
"RelationData1" : []
} /* 13 */
{
"CarId" : "1",
"Income" : 250.0,
"Mileage" : 100.0,
"Remarks" : "123",
"_id" : "13",
"CreateUserName" : "ddz11",
"CreateDate" : "2018-06-16",
"TableCode" : "DispatchRecord",
"RelationData1" : []
} /* 14 */
{
"CarId" : "2",
"Income" : 1000.0,
"Mileage" : 630.0,
"Remarks" : "2345sfgfg",
"_id" : "14",
"CreateUserName" : "ddz12",
"CreateDate" : "2018-06-16",
"TableCode" : "DispatchRecord",
"RelationData1" : []
} /* 15 */
{
"CarId" : "3",
"Income" : 1213.0,
"Mileage" : 569.0,
"Remarks" : "12asdfasdfasdf3",
"_id" : "15",
"CreateUserName" : "ddz12",
"CreateDate" : "2018-08-16",
"TableCode" : "DispatchRecord",
"RelationData1" : []
}
查询结果
你可能看到了查询语句太长了，这还是最基本的，幸好3.4之后提供了视图的功能，我们可以创建一个视图，弄成我们想要的样子：
db.createView("t1view","t1",[
{$addFields:
{
FormValueObj:{
$arrayToObject:{
$map:
{
input: "$FormItems",
as: "field",
in: ["$$field.key","$$field.value"]
}
}
}
}
},
{
$addFields:{
"FormValueObj._id":"$_id",
"FormValueObj.CreateUserName":"$CreateUserName",
"FormValueObj.CreateDate":"$CreateDate",
"FormValueObj.TableCode":"$TableCode"
}
},
{
$replaceRoot: { newRoot: "$FormValueObj" }
}
])
创建视图
之后我们就是在视图中查询了
db.getCollection('t1view').aggregate([
{$match:{_id:"1"}},
{
$lookup:{
from: "t1view",
localField: "_id",
foreignField: "CarId",
as: "RelationData1"
}
}
])
视图查询
/* 1 */
{
"CarBrand" : "红旗",
"VehicleType" : "H7",
"CarNum" : "京A00001",
"PurchaseDate" : "2019-01-01",
"_id" : "1",
"CreateUserName" : "ddz1",
"CreateDate" : "2018-02-07",
"TableCode" : "CarInfo",
"RelationData1" : [
{
"CarId" : "1",
"Cost" : 100.0,
"Contents" : "喷漆",
"_id" : "7",
"CreateUserName" : "ddz100",
"CreateDate" : "2018-06-06",
"TableCode" : "MaintenanceRecord"
},
{
"CarId" : "1",
"Cost" : 25.0,
"Contents" : "洗车",
"_id" : "8",
"CreateUserName" : "ddz100",
"CreateDate" : "2018-08-06",
"TableCode" : "MaintenanceRecord"
},
{
"CarId" : "1",
"Income" : 106.0,
"Mileage" : 50.0,
"Remarks" : "123",
"_id" : "12",
"CreateUserName" : "ddz10",
"CreateDate" : "2018-06-06",
"TableCode" : "DispatchRecord"
},
{
"CarId" : "1",
"Income" : 250.0,
"Mileage" : 100.0,
"Remarks" : "123",
"_id" : "13",
"CreateUserName" : "ddz11",
"CreateDate" : "2018-06-16",
"TableCode" : "DispatchRecord"
}
]
}
视图查询结果
这样在操作就简单多了，还避免了上面的第二个问题,
记一次mongodb聚合查询的更多相关文章
- mongodb聚合查询-aggregate
Mongodb-aggregate 在工作中经常遇到一些mongodb的聚合操作,和mysql对比起来,mongo存储的可以是复杂的类型,比如数组,字典等mysql不善于处理的文档型结构,但是mong ...
- MongoDB聚合查询及Python连接MongoDB操作
今日内容概要 聚合查询 Python操作MongoDB 第三方可视化视图工具 今日内容详细 聚合查询 Python操作MongoDB 数据准备 from pymongo import MongoCli ...
- MongoDB 聚合查询报错
1.Distinct聚合查询报错 db.users.distinct("uname") db.runCommand({"distinct":"user ...
- MongoDB聚合查询
1.count:查询记录条数 db.user.count() 它也跟find一样可以有条件的 db.user.count({}) 2.distinct:用来找出给定键的所有不同的值 db.user.d ...
- mongodb 聚合查询
操作符介绍: $project:包含.排除.重命名和显示字段 $match:查询,需要同find()一样的参数 $limit:限制结果数量 $skip:忽略结果的数量 $sort:按照给定的字段排序结 ...
- 【Mongodb】聚合查询 && 固定集合
概述 数据存储是为了可查询,统计.若数据只需存储,不需要查询,这种数据也没有多大价值 本篇介绍Mongodb 聚合查询(Aggregation) 固定集合(Capped Collections) 准备 ...
- Mongodb高级查询【二】
上一篇文章,写了mongodb常规操作,继续写入,本章主要讲高级查询,文本,聚集,大数据查询. Mongodb的查询语法是很多的,是NOSQL队伍中比较丰富的一个.当然有很多查询跟关系型查询无法相比. ...
- python操作mongodb之二聚合查询
#聚合查询 from pymongo import MongoClient db = MongoClient('mongodb://10.0.0.9:27017/').aggregation_exam ...
- mongodb高级聚合查询
在工作中会经常遇到一些mongodb的聚合操作,特此总结下.mongo存储的可以是复杂类型,比如数组.对象等mysql不善于处理的文档型结构,并且聚合的操作也比mysql复杂很多. 注:本文基于 mo ...
随机推荐
- 关于ConcurrentSkipListMap的理解
一.前言 JCIP 提到了在 Java 6 中引入了两个新的并发集合类 ConcurrentSkipListMap 和 ConcurrentSkipListSet.其实只要介绍一下 Concurren ...
- 网络编程之select
一.select函数简介 select一般用在socket网络编程中,在网络编程的过程中,经常会遇到许多阻塞的函数,网络编程时使用的recv, recvfrom.connect函数都是阻塞的函数,当函 ...
- SSM-SpringMVC-01：SpringMVC是什么？SpringMVC执行流程
------------吾亦无他,唯手熟尔,谦卑若愚,好学若饥------------- SpringMVC简介: SpringMVC也叫Spring Web mvc,属于表现层的框架.Sprin ...
- Step by step guide to set up master and slave machines on Windows
Note: There is no need to install Jenkins on the slave machine. On your master machine go to Manage ...
- bug排查小结
mysql cpu利用率偏高,并且长时间居高不下. show processlist 发现有一个单表查询的sql语句出现的频率比较高, 这个单表查询中规中矩,where语句中条件都使用”=“连接,再加 ...
- MongoDB中文档操作（二）
一.插入文档 1.db.集合名.insert() 插入一个:db.user.insert({name:"Join",age:13,address:"beijing& ...
- python基础下的mysql学习之操作命令（一）
E-R模型简介: 该模型应用于数据库设计中的概念结构设计阶段 E-entry,实体,是指设计的主体.对象等: R-relationship,关系,是指设计的主体之间的联系,关系也是一种数据: 一个实体 ...
- Linux下快速比较两个目录的不同
曾多次想要在Linux下比较目录a和目录b中文件列表的差别,然后对目录a比目录b中多出的文件.少掉的文件分别做处理.但是,在网上搜索了多次也都没找到能直接处理好的工具. 所以想了很多不少方法,自我感觉 ...
- java泛型基础、子类泛型不能转换成父类泛型
参考http://how2j.cn/k/generic/generic-generic/373.html 1.使用泛型的好处:泛型的用法是在容器后面添加<Type>Type可以是类,抽象类 ...
- xp开机黑屏故障分析
今天装完xp系统之后,重启开机发现竟然黑屏了,查资料发现有很多用户在修改分辨率后,因显示器不支持修改后的分辨率,会出现电脑黑屏的情况.分辨率调高了,超出了屏幕的范围,肯定会黑屏,而且这个问题还挺麻烦, ...