用猫鼬查询：希望将Mongo _id减价？

如何解决用猫鼬查询：希望将Mongo _id减价？

我发现了与我类似的问题，但没有解释Mongoose find query vs $match，我正在尝试做类似的事情。

我设法按今天的日期正确过滤了，但是我还不能按客户的ID过滤。

这有效：

 var today = new Date(dateTime);    
    
    var dd = String(today.getDate()).padStart(2,'0');
                var mm = String(today.getMonth() + 1).padStart(2,'0'); //January is 1!
                var mmd = String(today.getMonth()).padStart(2,'0'); //January is 0!
                var yyyy = today.getFullYear();
    
        const filter = {
                    $match: {
                        $and: [
                            { date: { $gt: new Date(Date.UTC(yyyy,mmd,dd)) } },// { client: '5f78a00e97f9aa002aa7ec1c' },{ status: 1 }
                        ]
                    }
                };
        
// the correct date is whit mmd not mm
                const dateSent = new Date(Date.UTC(yyyy,dd));
                console.log(dateSent);
        
                const wpreservationDbagregate = await WorkplaceReservation.aggregate([filter]);
       
                
                res.json(wpreservationDbagregate);

我收到此回复，较旧的文档已正确过滤：

[
    {
        "_id": "5f7b93e89d1cb4600e8ce740","status": 1,"workplace": 5,"date": "2020-10-09T00:00:00.000Z","creator": "5f7b36b090b6e518210c6070","client": "5f78a00e97f9aa002aa7ec1c","userId": "5f7b36b090b6e518210c6070","dateCreated": "2020-10-05T21:45:12.229Z","__v": 0
    },{
        "_id": "5f7b95699d1cb4600e8ce742","workplace": 2,"date": "2020-10-07T00:00:00.000Z","dateCreated": "2020-10-05T21:51:37.219Z","__v": 0
    }
]

但是当试图通过客户端ID进行过滤时，即使使用字符串（在过滤器常量中将其注释掉），它也不起作用

我想我必须以某种方式解析它，但是我可以找到方法...

这是架构：

import mongoose from 'mongoose';
const Schema = mongoose.Schema;

const workplaceReservationSchema = new Schema({
    client: { type: Schema.Types.ObjectId,ref: 'user',required: [true,'El espacio de trabajo debe ser reservado para algun Cliente'] },workplace: { type: Number,'El espacio de trabajo es un campo obligatorio'] },userId: { type: Schema.Types.ObjectId,'El espacio de trabajo debe ser reservado para algun usuario'] },creator: { type: Schema.Types.ObjectId,'Loging incorrecto'] },date: { type: Date,'La reserva debe tener una fecha'] },dateModified: { type: Date },dateCreated: { type: Date,default: Date.now },status: { type: Number,default: 1 }
});

//Set unique compound indexes
workplaceReservationSchema.index({ workplace: 1,client: 1,date: 1,status: 1 },{ unique: true });
workplaceReservationSchema.index({ userId: 1,{ unique: true });


const WorkplaceReservation = mongoose.model('workplaceReservation',workplaceReservationSchema);

export default WorkplaceReservation;

package.json：

"dependencies": {
        "@babel/cli": "^7.10.4","@babel/core": "^7.10.4","@babel/node": "^7.10.4","@babel/preset-env": "^7.10.4","bcrypt": "^4.0.1","connect-history-api-fallback": "^1.6.0","cors": "^2.8.5","dotenv": "^8.2.0","express": "^4.17.1","jsonwebtoken": "^8.5.1","mongoose": "^5.10.7","mongoose-unique-validator": "^2.0.3","morgan": "^1.10.0","underscore": "^1.10.2"
    }

非常感谢！

解决方法

您是否尝试将_id从字符串转换为ObjectId？ 像{ client: mongoose.Types.ObjectId('5f78a00e97f9aa002aa7ec1c') }

,

您通常希望在对象ID的模式中保留变量的隐式（未声明，让Mongo处理）

对于您的userID和创建者变量，请使用type: String

// Schema
const workplaceReservationSchema = new Schema({
    workplace: { type: Number,required: [true,'El espacio de trabajo es un campo obligatorio'] },userId: { type: String,ref: 'user','El espacio de trabajo debe ser reservado para algun usuario'] },creator: { type: String,'Loging incorrecto'] },date: { type: Date,'La reserva debe tener una fecha'] },dateModified: { type: Date },dateCreated: { type: Date,default: Date.now },status: { type: Number,default: 1 }
});

然后您的查询可以这样构造：

const filter = {
    $match: {
        $and: [
            { date: { $gt: new Date(Date.UTC(yyyy,mmd,dd)) } },{ _id: '5f78a00e97f9aa002aa7ec1c' },{ status: 1 }
        ]
    }
};

,

我终于完成了这个查询。主要思想是按日期分组（这就是为什么我不使用find的原因）

这是最终代码：

 // Actual GTM -3 DATETIME (Argentina)
        const dateTime = new Date(new Date() - 3600 * 1000 * 3).toISOString();
        var today = new Date(dateTime);
        var dd = String(today.getDate()).padStart(2,'0');
        var mm = String(today.getMonth() + 1).padStart(2,'0'); //January is 1!
        var mmd = String(today.getMonth()).padStart(2,'0'); //January is 0!
        var yyyy = today.getFullYear();
        // Actual GTM -3 Date
        today = yyyy + '-' + mm + '-' + dd;

        const filter = {
            $match: {
                $and: [
                    { date: { $gt: new Date(Date.UTC(yyyy,{ client: mongoose.Types.ObjectId(client) },{ status: 1 }
                ]
            }
        };

        const group = {
            $group: {
                _id: { $dateToString: { format: "%Y-%m-%d",date: "$date" } },count: { $sum: 1 }
            }
        };
        const wpreservationDbfiltered = await WorkplaceReservation.aggregate([filter]);
        const wpreservationDbgrouped = await WorkplaceReservation.aggregate([filter,group]);

        res.status(200).json({ wpreservationDbgrouped,wpreservationDbfiltered });

我得到了按日期分组的数据以及所有像这样的文档：

{
    "wpreservationDbgrouped": [
        {
            "_id": "2020-10-09","count": 1
        },{
            "_id": "2020-10-07",{
            "_id": "2020-10-08","count": 1
        }
    ],"wpreservationDbfiltered": [
        {
            "_id": "5f7c87d4670b421d387d2614","status": 1,"workplace": 2,"date": "2020-10-07T00:00:00.000Z","creator": "5f790ad4cb0b41834f94e91b","client": "5f78dac286bfd05f21527e49","userId": "5f790ad4cb0b41834f94e91b","dateCreated": "2020-10-06T15:05:56.258Z","__v": 0
        },{
            "_id": "5f7c929ed1901826d50af73d","workplace": 3,"date": "2020-10-08T00:00:00.000Z","dateCreated": "2020-10-06T15:51:58.621Z",{
            "_id": "5f7c92a5d1901826d50af73e","workplace": 6,"date": "2020-10-09T00:00:00.000Z","dateCreated": "2020-10-06T15:52:05.373Z","__v": 0
        }
    ]
}

非常感谢您的帮助！