SQL'UNION ALL'在MongoDB中的实现 [英] SQL 'UNION ALL' like implementation in MongoDB

问题描述

有两个集合:

销售

{
  "_id" : ObjectId("5ba0bfb8d1acdc0de716e839"),
  "invoiceNumber" : 1,
  "saleDate" : ISODate("2018-09-01T00:00:00.000Z"),
  "totalTaxAmount" : 613,
  "subTotalAmount" : 2000,
  "totalAmount" : 2613,
  "balance" : 2613,
  "financialYear" : "2018-2019",
  "modeOfPayment" : "Digital Transfer",
  "customerName": "Acme Inc"
}

交易

{
  "_id" : ObjectId("5bbb4e131fb8af0dc645212d"),
  "transactionNumber" : 1    
  "transactionDate" : ISODate("2018-09-03T00:00:00.000Z"),
  "transactionType" : "Income",
  "partyName" : "Acme Inc",
  "transactionMode" : "Digital Transfer",
  "amount" : 2613,
  "paidItems" : [ 
      {
          "orderId" : "5b90a7d62bb5a21be4ff97e3",
          "invoiceNumber" : "1",
          "orderType" : "sale",
          "totalAmount" : 2613,
          "balance" : 613,
          "payingAmount" : 2000
      }
   ]
}

我需要检索按日期排序的两个日期(即saleDate，transactionDate)之间的特定方(即customerName，partyName)的销售和交易作为标题"；如下:

I need to retrieve sales and transactions as 'heading' for the specific party (i.e. customerName, partyName) between two dates (i.e. saleDate, transactionDate) ordered by date; as follows:

[
  {
    "date": ISODate("2018-09-01T00:00:00.000Z"),
    "heading": "Sale",
    "particulars": "Invoice # 1",
    "amount": 2613
  },
  {
    "date": ISODate("2018-09-03T00:00:00.000Z"),
    "heading": "Payment by Digital Transfer",
    "particulars": "Transaction # 1",
    "amount": 2000
  }
]

我使用聚合， $ lookup ，但它没有返回所需的内容.

I researched and tried with aggregation, $lookup but it's not returning what's desired.

从SQL切换到MongoDB.在SQL中，以下查询工作正常:

Switching from SQL to MongoDB. In SQL following query works fine:

select sale_date as dated, 'Sale' as heading, 'Invoice # ' + 
convert(varchar(12),invoice_number) as particulars, 
convert(varchar(12), total) as amount, 
from sales where sale_date between @from_date AND @to_date AND 
customer_name=@customer_name
UNION ALL
select transaction_date as dated, 'Payment by ' + transaction_mode as 
heading, 'Transaction # ' + convert(varchar(12), transaction_id) as 
particulars, convert(varchar(12), amount) as amount from transactions 
where transaction_date between @from_date AND @to_date AND 
party_name=@customer_name
order by dated DESC

在MongoDB社区中有一个功能请求，它是未解决的".

There's a feature request filed in the MongoDB community and it's 'unresolved'.

我想知道mongoShell或MongoDB驱动程序(mongoose/JS)中对此有什么办法.使用当前稳定的MongoDB，nodejs，express和mongoose版本.谢谢！

I would like to know is there any way for this within mongoShell or MongoDB driver (mongoose / JS). Using current stable versions of MongoDB, nodejs, express, and mongoose. Thanks!

推荐答案

您可以在下面的汇总中尝试

You can try below aggregation

db.sales.aggregate([
  { "$limit": 1 },
  { "$facet": {
    "collection1": [
      { "$limit": 1 },
      { "$lookup": {
        "from": "sales",
        "pipeline": [
          { "$match": {
            "date": { "$gte": ISODate("2018-09-01"), "$lte": ISODate("2018-09-10") },
            "customer.name": customerName
          }},
          { "$project": {
            "_id":0, "dated": "$saleDate", "heading": "Sale", "particulars": "$invoiceNumber",
            "amount": "$totalAmount", "modeOfPayment": null
          }}
        ],
        "as": "collection1"
      }}
    ],
    "collection2": [
      { "$limit": 1 },
      { "$lookup": {
        "from": "transactions",
        "pipeline": [
          { "$match": {
            "transactionDate": { "$gte": ISODate("2018-09-01"), "$lte": ISODate("2018-09-10") },
            "userId": userId, "partyName": customerName
          }},
          { "$project": {
            "_id":0, "dated": "$transactionDate", "heading": "Payment","particulars": "$transactionNumber",
            "amount": "$amount", "paymentMode": "$transactionMode"
          }}
        ],
        "as": "collection2"
      }}
    ]
  }},
  { "$project": {
    "data": {
      "$concatArrays": [
        { "$arrayElemAt": ["$collection1.collection1", 0] },
        { "$arrayElemAt": ["$collection2.collection2", 0] },
      ]
    }
  }},
  { "$unwind": "$data" },
  { "$replaceRoot": { "newRoot": "$data" } },
  { "$sort": { "dated": -1 }}
])

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