如何将来自不同数组的两个匹配对象合并为一个对象? [英] How to merge two matching objects from different array into one object?

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问题描述

在这种情况下,我从聚合中得到了一个结果,我正在以这种格式获取数据.

I have a situation where I have got one result from aggregation where I am getting data in this format.

{
    "_id" : ObjectId("5a42432d69cbfed9a410e8ad"),
    "bacId" : "BAC0023444",
    "cardId" : "2",
    "defaultCardOrder" : "2",
    "alias" : "Finance",
    "label" : "Finance",
    "for" : "",
    "cardTooltip" : {
        "enable" : true,
        "text" : ""
    },
    "dataBlocks" : [
        {
            "defaultBlockOrder" : "1",
            "blockId" : "1",
            "data" : "0"
        },
        {
            "defaultBlockOrder" : "2",
            "blockId" : "2",
            "data" : "0"
        },
        {
            "defaultBlockOrder" : "3",
            "blockId" : "3",
            "data" : "0"
        }
    ],
    "templateBlocks" : [
        {
            "blockId" : "1",
            "label" : "Gross Profit",
            "quarter" : "",
            "data" : "",
            "dataType" : {
                "typeId" : "2"
            },
            "tooltip" : {
                "enable" : true,
                "text" : ""
            }
        },
        {
            "blockId" : "2",
            "label" : "Profit Forecast",
            "quarter" : "",
            "data" : "",
            "dataType" : {
                "typeId" : "2"
            },
            "tooltip" : {
                "enable" : true,
                "text" : ""
            }
        },
        {
            "blockId" : "3",
            "label" : "Resource Billing",
            "quarter" : "",
            "data" : "",
            "dataType" : {
                "typeId" : "2"
            },
            "tooltip" : {
                "enable" : true,
                "text" : ""
            }
        }
    ]
},
{
    "_id" : ObjectId("5a42432d69cbfed9a410e8ad"),
    "bacId" : "BAC0023444",
    "cardId" : "3",
    "defaultCardOrder" : "3",
    "alias" : "Staffing",
    "label" : "Staffing",
    "for" : "",
    "cardTooltip" : {
        "enable" : true,
        "text" : ""
    },
    "dataBlocks" : [
        {
            "defaultBlockOrder" : "1",
            "blockId" : "1",
            "data" : "1212"
        },
        {
            "defaultBlockOrder" : "2",
            "blockId" : "2",
            "data" : "1120"
        },
        {
            "defaultBlockOrder" : "3",
            "blockId" : "3",
            "data" : "1200"
        }
    ],
    "templateBlocks" : [
        {
            "blockId" : "1",
            "label" : "Staffing Planner",
            "quarter" : "",
            "data" : "",
            "dataType" : {
                "typeId" : "1"
            },
            "tooltip" : {
                "enable" : true,
                "text" : ""
            }
        },
        {
            "blockId" : "2",
            "label" : "Baseline",
            "quarter" : "",
            "data" : "",
            "dataType" : {
                "typeId" : "1"
            },
            "tooltip" : {
                "enable" : true,
                "text" : ""
            }
        },
        {
            "blockId" : "3",
            "label" : "Projected",
            "quarter" : "",
            "data" : "",
            "dataType" : {
                "typeId" : "1"
            },
            "tooltip" : {
                "enable" : true,
                "text" : ""
            }
        }
    ]
}

现在,我想比较每一行的两个对象数组,这里是基于"blockId"的对象的"dataBlocks"和"templateBlocks",我想以以下格式获取结果.

Now I want to compare the two array of objects for each row, here in this case its "dataBlocks" and "templateBlocks" based on "blockId" s and I want to get the result in the following format.

{
    "_id" : ObjectId("5a42432d69cbfed9a410e8ad"),
    "bacId" : "BAC0023444",
    "cardId" : "2",
    "defaultCardOrder" : "2",
    "alias" : "Finance",
    "label" : "Finance",
    "for" : "",
    "cardTooltip" : {
        "enable" : true,
        "text" : ""
    },
    "blocks" : [
        {
            "defaultBlockOrder" : "1",
            "blockId" : "1",
            "data" : "0",
            "label" : "Gross Profit",
            "quarter" : "",
            "dataType" : {
                "typeId" : "2"
            },
            "tooltip" : {
                "enable" : true,
                "text" : ""
            }
        },
        {
            "defaultBlockOrder" : "2",
            "blockId" : "2",
            "data" : "0",
            "label" : "Profit Forecast",
            "quarter" : "",
            "dataType" : {
                "typeId" : "2"
            },
            "tooltip" : {
                "enable" : true,
                "text" : ""
            }
        },
        {
            "defaultBlockOrder" : "3",
            "blockId" : "3",
            "data" : "0",
            "label" : "Resource Billing",
            "quarter" : "",
            "dataType" : {
                "typeId" : "2"
            },
            "tooltip" : {
                "enable" : true,
                "text" : ""
            }
        }
    ]
},
{
    "_id" : ObjectId("5a42432d69cbfed9a410e8ad"),
    "bacId" : "BAC0023444",
    "cardId" : "3",
    "defaultCardOrder" : "3",
    "alias" : "Staffing",
    "label" : "Staffing",
    "for" : "",
    "cardTooltip" : {
        "enable" : true,
        "text" : ""
    },
    "dataBlocks" : [
        {
            "defaultBlockOrder" : "1",
            "blockId" : "1",
            "data" : "1212",
            "label" : "Staffing Planner",
            "quarter" : "",
            "dataType" : {
                "typeId" : "1"
            },
            "tooltip" : {
                "enable" : true,
                "text" : ""
            }
        },
        {
            "defaultBlockOrder" : "2",
            "blockId" : "2",
            "data" : "1120",
            "label" : "Baseline",
            "quarter" : "",
            "dataType" : {
                "typeId" : "1"
            },
            "tooltip" : {
                "enable" : true,
                "text" : ""
            }
        },
        {
            "defaultBlockOrder" : "3",
            "blockId" : "3",
            "data" : "1200",
            "label" : "Projected",
            "quarter" : "",
            "dataType" : {
                "typeId" : "1"
            },
            "tooltip" : {
                "enable" : true,
                "text" : ""
            }
        }
    ]
}

是否可以用mongodb完成它?我正在使用3.4,并尝试使用聚合来实现这一目标.

Is it possible to get it done with mongodb ? I am using 3.4 and trying to achieve this using aggregation.

谢谢.

推荐答案

以下查询完成了该工作:

The following query does the job:

db.merge.aggregate([
  // unwind twice
  {$unwind: "$templateBlocks"},
  {$unwind: "$dataBlocks"},
  // get rid of documents where dataBlocks.blockId and 
  // templateBlocks.blockId are not equal
  {$redact: {$cond: [{
                        $eq: [
                               "$dataBlocks.blockId",
                               "$templateBlocks.blockId"
                             ]
                      },
                      "$$KEEP",
                      "$$PRUNE"
                    ]
            }
  },
  // merge dataBlocks and templateBlocks into a single document
  {$project: {
                bacId: 1,
                cardId: 1,
                defaultCardOrder: 1,
                alias: 1,
                label: 1,
                for: 1,
                cardTooltip: 1,
                dataBlocks: {
                              defaultBlockOrder: "$dataBlocks.defaultBlockOrder",
                              blockId: "$dataBlocks.blockId",
                              data: "$dataBlocks.data",
                              label: "$templateBlocks.label",
                              quarter: "$templateBlocks.quarter",
                              data: "$templateBlocks.data",
                              dataType: "$templateBlocks.dataType",
                              tooltip: "$templateBlocks.tooltip"
                            }
             }
      },
      // group to put correspondent dataBlocks to an array
      {$group: {
              _id: {
                     _id: "$_id",
                     bacId: "$bacId",
                     cardId: "$cardId",
                     defaultCardOrder: "$defaultCardOrder",
                     alias: "$alias",
                     label: "$label",
                     for: "$for",
                     cardTooltip: "$cardTooltip"
                   },
              dataBlocks: {$push: "$dataBlocks" }
           }
  },
  // remove the unnecessary _id object
  {$project: {
               _id: "$_id._id",
               bacId: "$_id.bacId",
               cardId: "$_id.cardId",
               defaultCardOrder: "$_id.defaultCardOrder",
               alias: "$_id.alias",
               label: "$_id.label",
               for: "$_id.for",
               cardTooltip: "$_id.cardTooltip",
               dataBlocks: "$dataBlocks"
             }
  }
])

请注意,由于查询展开两次,性能取决于数据集的大小,因此它可能会产生大量的中间文档.

Take into account that performance depends of size of your data set as the query unwinds twice and it may produce significant amount of intermediate documents.

这篇关于如何将来自不同数组的两个匹配对象合并为一个对象?的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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