Question

我收到了大量的JSON（飞行数据），我一直在考虑使用mongo作为查询/过滤它的工具，然后再返回UI。

这是json response from Sabre (flight search)

{
  "OTA_AirLowFareSearchRS": {
    "PricedItineraries": {
      "PricedItinerary": [
        {
          "SequenceNumber": 1,
          "AirItinerary": {
            "OriginDestinationOptions": {
              "OriginDestinationOption": [
                {
                  "FlightSegment": [
                    {
                      "DepartureDateTime": "2015-11-12T11:40:00",
                      "ArrivalDateTime": "2015-11-12T17:35:00",
                      "FlightNumber": "1980"
                    },
                    {
                      "DepartureDateTime": "2015-11-12T19:35:00",
                      "ArrivalDateTime": "2015-11-13T02:00:00",
                      "FlightNumber": "760"
                    }
                  ]
                },
                {
                  "FlightSegment": [
                    {
                      "DepartureDateTime": "2015-11-19T08:25:00",
                      "ArrivalDateTime": "2015-11-19T11:40:00",
                      "FlightNumber": "763"
                    },
                    {
                      "DepartureDateTime": "2015-11-19T12:55:00",
                      "ArrivalDateTime": "2015-11-19T15:05:00",
                      "FlightNumber": "1985"
                    }
                  ]
                }
              ]
            }
          },
          "AirItineraryPricingInfo": [
            {
              "ItinTotalFare": {
                "TotalFare": {
                  "Amount": 269.56,
                  "CurrencyCode": "GBP"
                }
              }
            }
          ]
        },
        {
          "SequenceNumber": 2,
          "AirItinerary": {
            "OriginDestinationOptions": {
              "OriginDestinationOption": [
                {
                  "FlightSegment": [
                    {
                      "DepartureDateTime": "2015-11-12T16:45:00",
                      "ArrivalDateTime": "2015-11-12T22:40:00",
                      "FlightNumber": "1986"
                    },
                    {
                      "DepartureDateTime": "2015-11-13T00:40:00",
                      "ArrivalDateTime": "2015-11-13T07:10:00",
                      "FlightNumber": "762"
                    }
                  ]
                },
                {
                  "ElapsedTime": 640,
                  "FlightSegment": [
                    {
                      "DepartureDateTime": "2015-11-19T08:25:00",
                      "ArrivalDateTime": "2015-11-19T11:40:00",
                      "FlightNumber": "763"
                    },
                    {
                      "DepartureDateTime": "2015-11-19T12:55:00",
                      "ArrivalDateTime": "2015-11-19T15:05:00",
                      "FlightNumber": "1985"
                    }
                  ]
                }
              ]
            }
          },
          "AirItineraryPricingInfo": [
            {
              "ItinTotalFare": {
                "TotalFare": {
                  "Amount": 269.56,
                  "CurrencyCode": "GBP"
                }
              }
            }
          ]
        },
        {
          "SequenceNumber": 6,
          "AirItinerary": {
            "OriginDestinationOptions": {
              "OriginDestinationOption": [
                {
                  "FlightSegment": [
                    {
                      "DepartureDateTime": "2015-11-12T11:40:00",
                      "ArrivalDateTime": "2015-11-12T17:35:00",
                      "FlightNumber": "1980"
                    },
                    {
                      "DepartureDateTime": "2015-11-12T19:35:00",
                      "ArrivalDateTime": "2015-11-13T02:00:00",
                      "FlightNumber": "760"
                    }
                  ]
                },
                {
                  "FlightSegment": [
                    {
                      "DepartureDateTime": "2015-11-19T03:15:00",
                      "ArrivalDateTime": "2015-11-19T06:30:00",
                      "FlightNumber": "761"
                    },
                    {
                      "DepartureDateTime": "2015-11-19T12:55:00",
                      "ArrivalDateTime": "2015-11-19T15:05:00",
                      "FlightNumber": "1985"
                    }
                  ]
                }
              ]
            }
          },
          "AirItineraryPricingInfo": [
            {
              "ItinTotalFare": {
                "TotalFare": {
                  "Amount": 269.56
                }
              }
            }
          ]
        }
      ]
    }
  }
}

我一直在尝试将其转换为我想要的视图，但却在努力应对所有嵌套数组的复杂性。我的问题是如何才能达到这样的预期结果：

{
    'Price': 269.56, <-- //Group on price (TotalFare)
    'Outbound': [{
        <Outbound Flights> <--- //$push? flights at array position [0] of OriginDestinationOption 
    }],
    'Inbound': [{
        <Inbound Flights> <-- // flights at array position [1] of OriginDestinationOption
    }]
},
...

JSON中这些数据的位置是：

Price: OTA_AirLowFareSearchRS.PricedItineraries.PricedItinerary[x].AirItineraryPricingInfo[0].ItinTotalFare.TotalFare.Amount;
Inbound: OTA_AirLowFareSearchRS.PricedItineraries.PricedItinerary[x].AirItinerary.OriginDestinationOptions.OriginDestinationOption[0]
Outbound: OTA_AirLowFareSearchRS.PricedItineraries.PricedItinerary[x].AirItinerary.OriginDestinationOptions.OriginDestinationOption[1]

Answer 1

使用当前的MongoDB版本，唯一可以获得更接近您想要的结果的方法是使用 aggregation framework ，并在{{1}的前提下工作数组将有两个元素，你需要 $first 和 $last 运算符来选择数组中的第一个和最后一个元素 $unwind 运算符。目前（基于上述假设）您可能需要运行此管道：

OriginDestinationOption

将产生结果（来自样本数据）：

db.flights.aggregate([
    { "$unwind": "$OTA_AirLowFareSearchRS.PricedItineraries.PricedItinerary" },
    { "$unwind": "$OTA_AirLowFareSearchRS.PricedItineraries.PricedItinerary.AirItineraryPricingInfo" },
    { "$unwind": "$OTA_AirLowFareSearchRS.PricedItineraries.PricedItinerary.AirItinerary.OriginDestinationOptions.OriginDestinationOption" },    
    {
        "$project": {
            "Price": "$OTA_AirLowFareSearchRS.PricedItineraries.PricedItinerary.AirItineraryPricingInfo.ItinTotalFare.TotalFare.Amount",
            "DestinationOptions": "$OTA_AirLowFareSearchRS.PricedItineraries.PricedItinerary.AirItinerary.OriginDestinationOptions.OriginDestinationOption"
        }
    },    
    {
        "$group": {
            "_id": "$Price",
            "Outbound" : { "$first": "$DestinationOptions" },
            "Inbound" : { "$last": "$DestinationOptions" }
        }
    }
])

但是，对于将来的版本（ MongoDB 3.2 and newer ），有两个运营商 $slice 和 $arrayElemAt < / strong>这将有助于您产生所需的结果。 $slice 运算符返回数组的子集， $arrayElemAt 返回指定数组索引处的元素。

因此，您将按如下方式实施管道 -

案例1。使用 $slice 运算符：

/* 1 */ { "result" : [ { "_id" : 269.56, "Outbound" : { "ElapsedTime" : 620, "FlightSegment" : [ { "DepartureDateTime" : "2015-11-12T11:40:00", "ArrivalDateTime" : "2015-11-12T17:35:00", "StopQuantity" : 0, "FlightNumber" : "1980", "ElapsedTime" : 235, "DepartureAirport" : { "LocationCode" : "LHR", "TerminalID" : "2", "content" : "" }, "ArrivalAirport" : { "LocationCode" : "IST", "TerminalID" : "I", "content" : "" }, "OperatingAirline" : { "Code" : "TK", "FlightNumber" : "1980", "content" : "" } }, { "DepartureDateTime" : "2015-11-12T19:35:00", "ArrivalDateTime" : "2015-11-13T02:00:00", "StopQuantity" : 0, "FlightNumber" : "760", "ResBookDesigCode" : "W", "ElapsedTime" : 265, "DepartureAirport" : { "LocationCode" : "IST", "TerminalID" : "I", "content" : "" }, "ArrivalAirport" : { "LocationCode" : "DXB", "TerminalID" : "1", "content" : "" }, "OperatingAirline" : { "Code" : "TK", "FlightNumber" : "760", "content" : "" }, "Equipment" : [ { "AirEquipType" : "343", "content" : "" } ], "MarketingAirline" : { "Code" : "TK", "content" : "" }, "MarriageGrp" : "I", "DepartureTimeZone" : { "GMTOffset" : 2 }, "ArrivalTimeZone" : { "GMTOffset" : 4 }, "TPA_Extensions" : { "eTicket" : { "Ind" : true } } } ] }, "Inbound" : { "ElapsedTime" : 730, "FlightSegment" : [ { "DepartureDateTime" : "2015-11-19T08:25:00", "ArrivalDateTime" : "2015-11-19T11:40:00", "StopQuantity" : 0, "FlightNumber" : "763", "ResBookDesigCode" : "W", "ElapsedTime" : 315, "DepartureAirport" : { "LocationCode" : "DXB", "TerminalID" : "1", "content" : "" }, "ArrivalAirport" : { "LocationCode" : "IST", "TerminalID" : "I", "content" : "" }, "OperatingAirline" : { "Code" : "TK", "FlightNumber" : "763", "content" : "" }, "Equipment" : [ { "AirEquipType" : "330", "content" : "" } ], "MarketingAirline" : { "Code" : "TK", "content" : "" }, "MarriageGrp" : "O", "DepartureTimeZone" : { "GMTOffset" : 4 }, "ArrivalTimeZone" : { "GMTOffset" : 2 }, "TPA_Extensions" : { "eTicket" : { "Ind" : true } } }, { "DepartureDateTime" : "2015-11-19T14:25:00", "ArrivalDateTime" : "2015-11-19T16:35:00", "StopQuantity" : 0, "FlightNumber" : "1971", "ResBookDesigCode" : "W", "ElapsedTime" : 250, "DepartureAirport" : { "LocationCode" : "IST", "TerminalID" : "I", "content" : "" }, "ArrivalAirport" : { "LocationCode" : "LHR", "TerminalID" : "2", "content" : "" }, "OperatingAirline" : { "Code" : "TK", "FlightNumber" : "1971", "content" : "" }, "Equipment" : [ { "AirEquipType" : "32B", "content" : "" } ], "MarketingAirline" : { "Code" : "TK", "content" : "" }, "MarriageGrp" : "I", "DepartureTimeZone" : { "GMTOffset" : 2 }, "ArrivalTimeZone" : { "GMTOffset" : 0 }, "TPA_Extensions" : { "eTicket" : { "Ind" : true } } } ] } } ], "ok" : 1 }

案例2。使用 $arrayElemAt 运算符：

db.flights.aggregate([ { "$unwind": "$OTA_AirLowFareSearchRS.PricedItineraries.PricedItinerary" }, { "$unwind": "$OTA_AirLowFareSearchRS.PricedItineraries.PricedItinerary.AirItineraryPricingInfo" }, { "$unwind": "$OTA_AirLowFareSearchRS.PricedItineraries.PricedItinerary.AirItinerary.OriginDestinationOptions.OriginDestinationOption" }, { "$project": { "Price": "$OTA_AirLowFareSearchRS.PricedItineraries.PricedItinerary.AirItineraryPricingInfo.ItinTotalFare.TotalFare.Amount", "DestinationOptions": "$OTA_AirLowFareSearchRS.PricedItineraries.PricedItinerary.AirItinerary.OriginDestinationOptions.OriginDestinationOption" } }, { "$group": { "_id": "$Price", "DestinationOptions" : { "$push": "$DestinationOptions" } } }, { "$project": { "Inbound": { "$slice": [ "$DestinationOptions", 0, 1] }, "Outbound": { "$slice": [ "$DestinationOptions", 1, 1 ] }, "Price": "$_id", "_id": 0 } } ])

Mongodb对复杂的JSON进行聚合，匹配，分组和排序

1 个答案: