MongoDB嵌套对象数组的聚合查找

5
我有一个类似如下的集合,并且在执行 $lookup 时遇到了一些困难。我希望返回的结果与一开始的结果相同,但是要包含填充后的字段(代理人、任务.客户端.客户)。
 {  
   "title":"Tournée libre",
   "agent":"5d811943d2a2100017667228", // needs to be populated
   "missions":[  
      {  
         "_id":"5d8a075346f10d679ab4383e",
         "title":"Journée 3",
         "clients":[  
            {  
               "_id":"5d8a075346f10d679ab4383f",
               "valid":true,
               "client":"5d1bc39aa2af623b94363b33", // this needs to be populated
               "visit_time":"2019-09-24T12:03:38.383Z"
            },
            {  

               "_id":"5d8a0dc446f10d679ab43888",
               "valid":true,
               "client":"5d8a0c8346f10d679ab43886",
               "visit_time":"2019-09-24T12:34:23.210Z"
            },

         ]
      }
   ],
   "created_at":"2019-09-24T12:08:51.928Z",
   "__v":2
}

and here is how the result should be:

 {  
   "title":"Tournée libre",
   "agent": {firstname: 'something', lastname: 'something else'}
   "missions":[  
      {  
         "_id":"5d8a075346f10d679ab4383e",
         "title":"Journée 3",
         "clients":[  
            {  
               "_id":"5d8a075346f10d679ab4383f",
               "valid":true,
               "client": {firstname: 'something', lastname: 'something else'},
               "visit_time":"2019-09-24T12:03:38.383Z"
            },
            {  

               "_id":"5d8a0dc446f10d679ab43888",
               "valid":true,
               "client":{firstname: 'something', lastname: 'something else'},
               "visit_time":"2019-09-24T12:34:23.210Z"
            },

         ]
      }
   ],
   "created_at":"2019-09-24T12:08:51.928Z",
   "__v":2
}

.populate(代理人任务.客户.客户端) - Ankit Manchanda
我之前使用了populate,但是在实现分页和用户角色时遇到了性能问题。因此,我现在需要使用aggregate。 - hamdi islam
1个回答

8

您可以使用以下聚合管道。

$lookup 找到代理并使用 $reduce 和 $concatArrays 收集所有客户端 ID,然后使用 $lookup 获取客户端详细信息。

$addFields 和 $map 一起迭代任务数组,并为每个客户端映射上一个阶段的客户端信息,使用查找按客户端 ID 并使用 $mergeObjects 保留其他字段。使用 $project 阶段删除额外字段。

MongoDB 3.6 及以上版本可用。

Model.aggregate([
 {"$lookup":{
  "from":"agents",
  "localField":"agent",
  "foreignField":"_id",
  "as":"agent"
 }},
 {"$addFields":{"agent":{"$arrayElemAt":["$agent",0]}}},
 {"$addFields":{
   "client_ids":{
     "$reduce":{
       "input":"$missions",
       "initialValue":[],
       "in": {"$concatArrays":["$$value","$$this.clients.client"]}
     }
   }
 }},
 {"$lookup":{
   "from":"clients",
   "localField":"client_ids",
   "foreignField":"_id",
   "as":"client_info"
 }},
 {"$addFields":{
   "missions":{
     "$map":{
       "input":"$missions",
       "in":{
         "$mergeObjects":[
           "$$this",
           {"clients":{"$map":{
             "input":"$$this.clients",
             "in":{"$mergeObjects":[
               "$$this",
              {"client":{"$arrayElemAt":[
                "$client_info",
                {"$indexOfArray":["$client_ids","$$this._id"]}
              ]}}
            ]}
           }}}
         ]
       }
     }
   }
 }},
 {"$project":{"client_ids":0,"client_info":0}}
])

小于 3.6 版的Mongo db

$lookup用于填充agent,接着使用$unwind到达client并使用lookup获取客户端详细信息。使用$group带回原始结构并填充值。

Model.aggregate([
 {"$lookup":{
  "from":"agents",
  "localField":"agent",
  "foreignField":"_id",
  "as":"agent"
 }},
 {"$addFields":{"agent":{"$arrayElemAt":["$agent",0]}}},
 {"$unwind":"$missions"},
 {"$unwind":"$missions.clients"},
 {"$lookup":{
   "from":"clients",
   "localField":"missions.clients.client",
   "foreignField":"_id",
   "as":"missions.clients.client"
 }},
 {"$addFields":{"missions.clients.client":{"$arrayElemAt":["$missions.clients.client",0]}}},
 {"$group":{
   "_id":{"_id":"$_id","mission_id":"$missions._id"},
   "agent":{"$first":"$agent"},
   "title":{"$first":"$missions.title"},
   "clients":{"$push":"$missions.clients"}
 }},
 {"$group":{
   "_id":"$_id._id",
   "agent":{"$first":"$agent"},
   "missions":{
     "$push":{
       "_id":"$_id.mission_id",
       "title":"$title",
       "clients":"$clients"
      }
    }
 }}
])

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