MongoDb过滤器阵列

时间:2020-07-29 09:04:25

标签: arrays database mongodb filter project

数据结构:

[{
  "_id": {
    "$oid": "5f1e91da1d840d673d159e69"
  },
  "product": [
    {
      "_id": "1",
      "name": "FirstWarehouseName1",
      "image": "FirstWarehousePhoto1",
      "manufacturer": "FirstWarehouseProducer1",
      "warehouse": "Warehouse1",
      "price": "32",
      "amount": 344
    },
    {
      "_id": "2",
      "name": "FirstWarehouseName2",
      "image": "FirstWarehousePhoto2",
      "manufacturer": "FirstWarehouseProducer2",
      "warehouse": "Warehouse1",
      "price": "12",
      "amount": 631
    },
    {
      "_id": "3",
      "name": "FirstWarehouseName3",
      "image": "FirstWarehousePhoto3",
      "manufacturer": "FirstWarehouseProducer3",
      "warehouse": "Warehouse1",
      "price": "66",
      "amount": 752
    }
  ],
  "_class": "pl.com.ttsw.intership.product_model.Products"
},{
  "_id": {
    "$oid": "5f1e91da1d840d673d159e6a"
  },
  "product": [
    {
      "_id": "1",
      "name": "SecondWarehouseName1",
      "image": "SecondWarehousePhoto1",
      "manufacturer": "SecondWarehouseProducerName1",
      "warehouse": "Warehouse2",
      "price": "32",
      "amount": 344
    },
    {
      "_id": "2",
      "name": "SecondWarehouseName2",
      "image": "SecondWarehousePhoto2",
      "manufacturer": "SecondWarehouseProducerName2",
      "warehouse": "Warehouse2",
      "price": "12",
      "amount": 631
    },
    {
      "_id": "3",
      "name": "SecondWarehouseName3",
      "image": "SecondWarehousePhoto3",
      "manufacturer": "SecondWarehouseProducerName3",
      "warehouse": "Warehouse2",
      "price": "66",
      "amount": 752
    }
  ],
  "_class": "pl.com.ttsw.intership.product_model.Products"
},{
  "_id": {
    "$oid": "5f1e91db1d840d673d159e6b"
  },
  "product": [
    {
      "_id": "1",
      "name": "ThirdWarehouseName1",
      "image": "ThirdWarehousePhoto1",
      "manufacturer": "ThirdWarehouse1",
      "warehouse": "Warehouse3",
      "price": "44",
      "amount": 123
    },
    {
      "_id": "2",
      "name": "ThirdWarehouseName2",
      "image": "ThirdWarehousePhoto2",
      "manufacturer": "ThirdWarehouse2",
      "warehouse": "Warehouse3",
      "price": "11",
      "amount": 442
    },
    {
      "_id": "3",
      "name": "ThirdWarehouseName3",
      "image": "ThirdWarehousePhoto3",
      "manufacturer": "ThirdWarehouse3",
      "warehouse": "Warehouse3",
      "price": "2",
      "amount": 2213
    }
  ],
  "_class": "pl.com.ttsw.intership.product_model.Products"
}]

IMG

我也这样尝试:

IMG2

ERROR

///////////////////////////////////////////////// //////////////// 我需要按名称来命名数组中的过滤器数组(仓库中的产品); 如果我不做任何项目,则Array的所有产品都是如此。 输出结果是否为(按“名称3”搜索)

[{
  "_id": {
    "$oid": "5f1e91da1d840d673d159e69"
  },
  "product": [
    {
      "_id": "3",
      "name": "FirstWarehouseName3",
      "image": "FirstWarehousePhoto3",
      "manufacturer": "FirstWarehouseProducer3",
      "warehouse": "Warehouse1",
      "price": "66",
      "amount": 752
    }
  ]
},{
  "_id": {
    "$oid": "5f1e91da1d840d673d159e6a"
  },
  "product": [
    {
      "_id": "3",
      "name": "SecondWarehouseName3",
      "image": "SecondWarehousePhoto3",
      "manufacturer": "SecondWarehouseProducerName3",
      "warehouse": "Warehouse2",
      "price": "66",
      "amount": 752
    }
  ]
},{
  "_id": {
    "$oid": "5f1e91db1d840d673d159e6b"
  },
  "product": [
    {
      "_id": "3",
      "name": "ThirdWarehouseName3",
      "image": "ThirdWarehousePhoto3",
      "manufacturer": "ThirdWarehouse3",
      "warehouse": "Warehouse3",
      "price": "2",
      "amount": 2213
    }
  ]
}]

我尝试了所有方法,但无法解决。 //////////////////////////////

2 个答案:

答案 0 :(得分:1)

如果仅过滤数组中的一个元素,则即使只有一个元素匹配,也将返回整个数组,如果没有匹配项,则不返回任何内容。因此,您需要使用$unwind运算符将数组分成不同的文档,只有在此之后,才尝试使用$match过滤结果。

以下查询可能会解决您的问题

db.collection.aggregate([
  {"$unwind": "$product"},
  {"$match": {"product.name": "FirstWarehouseName1"}} // replace here with the name you want
])

工作mongoplayground

如果可以的话,请给我一个提示:您应该将每个产品存储在不同的文档中,尽管MongoDB是无模式的,并允许我们拥有几乎任何格式的文档,但请记住,每个文档都应包含相当于常规关系数据库中的一行信息。否则,您将开始遇到这些问题以及性能问题。

答案 1 :(得分:0)

你可以做

[{
    $unwind: {
        path: "$product",
        preserveNullAndEmptyArrays: false
    }
}, {
    $match: {
        "product.name": {
            $regex: "Name3"
        }
    }
}, {
    $group: {
        _id: "$_id",
        product: {
            $push: "$product"
        }
    }
}]

工作Mongo playground