Mongodb $groupwith$lookup

Mongodb $groupwith$lookup,mongodb,mongodb-query,aggregation-framework,Mongodb,Mongodb Query,Aggregation Framework,我在MongoDB查询中有一个问题。 我拥有以下用户集合: { "_id" : ObjectId("5aa03bf97d6e1d28a020f488"), "name":"A1", "interests" : [ ObjectId("5aa03b877d6e1d28a020f484"), ObjectId("5aa03bb47d6e1d28a020f485") ] }, { "_id" : ObjectId("5aff

我在MongoDB查询中有一个问题。 我拥有以下用户集合:

{
    "_id" : ObjectId("5aa03bf97d6e1d28a020f488"),
    "name":"A1",
     "interests" : [ 
        ObjectId("5aa03b877d6e1d28a020f484"), 
        ObjectId("5aa03bb47d6e1d28a020f485")
    ]
},
{
    "_id" : ObjectId("5affd69339f67335303ddf77"),
    "name":"A2",
     "interests" : [ 
        ObjectId("5aa03b877d6e1d28a020f484")
    ]
},
{
    "_id" : ObjectId("5affd69339f673ddfjfhri45"),
    "name":"A3",
     "interests" : [ 
        ObjectId("5aa03bb47d6e1d28a020f485"), 
    ]
},
{
    "_id" : ObjectId("5affd69339f67365656ddfg4f"),
    "name":"A4",
     "interests" : [ 
        ObjectId("5aa16eb8890cbb4c582e8a38"), 
    ]
}
“兴趣”集合将显示以下示例:

{
    "_id" : ObjectId("5aa16eb8890cbb4c582e8a38"),
    "name" : "Swimming",
},
{
    "_id" : ObjectId("5aa03bb47d6e1d28a020f485"),
    "name" : "Basketball",
},
{
    "_id" : ObjectId("5aa03b877d6e1d28a020f484"),
    "name" : "Fishing",
}
我想写一个查询,计算所有用户的兴趣类型: 预期结果如下:

 [
    {
        "name":"fishing"
        "count":21 
    },
    {
        "name":"Basketball"
        "count":15
    }
]

感谢您的帮助:)

如果您有mongodb 3.6,那么您可以在下面尝试

db.collection.aggregate([
  { "$lookup": {
    "from": Intrest.collection.name,
    "let": { "interests": "$interests" },
    "pipeline": [
      { "$match": {
        "$expr": { "$in": [ "$_id", "$$interests" ] },
        "name": "Swimming",
      }}
    ],
    "as": "interests"
  }},
  { "$unwind": "$interests" },
  { "$group": {
    "_id": "$interests.name",
    "count": { "$sum": 1 }
  }},
  { "$project": {
    "name": "$_id", "count": 1
  }}
])
如果你想与兴趣小组
姓名

db.collection.aggregate([
  { "$lookup": {
    "from": Intrest.collection.name,
    "let": { "interests": "$interests" },
    "pipeline": [
      { "$match": { "$expr": { "$in": [ "$_id", "$$interests" ] } }}
    ],
    "as": "interests"
  }},
  { "$unwind": "$interests" },
  { "$group": {
    "_id": "$interests.name",
    "count": { "$sum": 1 }
  }},
  { "$project": {
    "name": "$_id", "count": 1
  }}
])

嗨,名称应该是兴趣的名称,例如,有4个用户对“游泳”感兴趣嗨,我添加了兴趣收集示例结果是列表用户,但使用兴趣名称而不是ID,这不是目的。预期的结果是在其应用程序中具有“swiiming”的用户的计数/总数interest@RanAlcobi请检查更新的两个答案。。。这肯定会奏效的。安东尼,游泳是唯一的例子。结果应该是“对于每个兴趣->获取兴趣数组中的用户数量(计数)”仍然下面的答案不适用于您?
 db.collection.aggregate(
  {
    $group: {
      _id: '$interests'
    }
  },
  {
    $group: {
      _id: '$name',
      count: {
        $sum: 1
      }
    }
  }
)