具有多個字段的Mongoose查詢文檔，包括子字段Mongodb

Question

嗨，我在mongodb中具有以下文檔模型

架構為

const ProductionsSchema=new Schema({
        name: {type: String, required: true, unique: true},
        isActive: {type: Boolean, default: true},
        locations: [{
            name: {type: String},
            isActive : {type: Boolean, default: false}
        }],
        trackno: {type: String}
})
Productions:[{ 
       _id: 125,
        name: 'John Smith',
        locations: [{ name: 'Boston', isActive: true}]
        isActive: true,
        trackno: 2123
    }, 
        { 
       _id: 126,
        name: 'Moe Adam',
        locations: [{ name: 'Chicago', isActive: true}]
        isActive: true,
        trackno: 5663
    }, 
     { 
       _id: 126,
        name: 'Henry Noel',
        locations: [{ name: 'Houston', isActive: false}]
        isActive: true,
        trackno: 4552
    }, 
      { 
       _id: 128,
        name: 'Tim Johnson',
        locations: [{ name: 'Denver', isActive: true}]
        isActive: false,
        trackno: 6672
    }

]

我正在嘗試找到兩個isActive true的列表

Productions.find({"isActive" : true , "locations.isActive": true}, (err, list)=>{
      if(err){
            callback(err);
            }
            callback(null, list)
        })

我正在嘗試編寫查詢，所以兩個isActive都是正確的。 在上面的示例數據中，答案中僅應包含前兩個記錄。 但是我一直在獲取所有記錄，即使是帶有'false'的記錄，我甚至還在location.isActive上嘗試了$ elemMatch。 請讓我知道如何解決此問題，以便僅獲得兩個isActive都只包含真實值的結果。

Answer 1

正如原始注釋所解釋的，您唯一需要的查詢條件是：

{ isActive: true, "locations.isActive": true }

這是一個基本的AND條件，您不需要任何特殊的運算符就可以驗證數組中任何位置的單個屬性是否滿足條件，這就是您要的全部。

由於這完全符合預期，因此我只能考慮向您顯示完整的工作清單，以此作為基礎來確定您的工作有所不同，從而使您無法獲得與預期相同的結果。

const { Schema } = mongoose = require('mongoose');

const uri = 'mongodb://localhost:27017/productions';
const opts = { useNewUrlParser: true };

mongoose.set('useFindAndModify', false);
mongoose.set('useCreateIndex', true);
mongoose.set('debug', true);

const productionSchema = new Schema({
  name: String,
  isActive: { type: Boolean, default: true },
  locations: [{
    name: String,
    isActive: { type: Boolean, default: false }
  }],
  trackno: Number
})

const Production = mongoose.model('Production', productionSchema);

const data =
[
    {
        name: 'John Smith',
        locations: [{ name: 'Boston', isActive: true}],
        isActive: true,
        trackno: 2123
    },
        {
        name: 'Moe Adam',
        locations: [{ name: 'Chicago', isActive: true}],
        isActive: true,
        trackno: 5663
    },
     {
        name: 'Henry Noel',
        locations: [{ name: 'Houston', isActive: false}],
        isActive: true,
        trackno: 4552
    },
    {
        name: 'Tim Johnson',
        locations: [{ name: 'Denver', isActive: true}],
        isActive: false,
        trackno: 6672
    }
];

const log = data => console.log(JSON.stringify(data, undefined, 2));

(async function() {

  try {
    const conn = await mongoose.connect(uri, opts);

    // clean data
    await Promise.all(
      Object.entries(conn.models).map(([k, m]) => m.deleteMany())
    );

    // set up
    await Production.insertMany(data);

    // Query
    let query = { isActive: true, "locations.isActive": true };
    let results = await Production.find(query);

    log(results);


  } catch(e) {
    console.error(e)
  } finally {
    mongoose.disconnect()
  }

})()

輸出兩個預期文件：

Mongoose: productions.deleteMany({}, {})
Mongoose: productions.insertMany([ { isActive: true, _id: 5c7f7e9367daed19d6773e9b, name: 'John Smith', locations: [ { isActive: true, _id: 5c7f7e9367daed19d6773e9c, name: 'Boston' } ], trackno: 2123, __v: 0 }, { isActive: true, _id: 5c7f7e9367daed19d6773e9d, name: 'Moe Adam', locations: [ { isActive: true, _id: 5c7f7e9367daed19d6773e9e, name: 'Chicago' } ], trackno: 5663, __v: 0 }, { isActive: true, _id: 5c7f7e9367daed19d6773e9f, name: 'Henry Noel', locations: [ { isActive: false, _id: 5c7f7e9367daed19d6773ea0, name: 'Houston' } ], trackno: 4552, __v: 0 }, { isActive: false, _id: 5c7f7e9367daed19d6773ea1, name: 'Tim Johnson', locations: [ { isActive: true, _id: 5c7f7e9367daed19d6773ea2, name: 'Denver' } ], trackno: 6672, __v: 0 } ], {})
Mongoose: productions.find({ isActive: true, 'locations.isActive': true }, { projection: {} })
[
  {
    "isActive": true,
    "_id": "5c7f7e9367daed19d6773e9b",
    "name": "John Smith",
    "locations": [
      {
        "isActive": true,
        "_id": "5c7f7e9367daed19d6773e9c",
        "name": "Boston"
      }
    ],
    "trackno": 2123,
    "__v": 0
  },
  {
    "isActive": true,
    "_id": "5c7f7e9367daed19d6773e9d",
    "name": "Moe Adam",
    "locations": [
      {
        "isActive": true,
        "_id": "5c7f7e9367daed19d6773e9e",
        "name": "Chicago"
      }
    ],
    "trackno": 5663,
    "__v": 0
  }
]