找到n级嵌套的SubDocument MongoDB

时间:2017-04-21 18:00:11

标签: c# mongodb linq azure-cosmosdb

我有这份文件:

{
  "$id": "1",
  "DocType": "Unidade",
  "Nome": "TONY",
  "RG_InscricaoEstadual": "4347924938742",
  "Setores": [
    {
      "$id": "9",
      "Nome": "Child0",
      "Setores": [
        {
          "$id": "10",
          "Nome": "Child1",
          "Setores": [
                     /* <n depth nested level> */
                     "$id": "11",
                     "Nome": "Child2",
                     "Id": "90228c56-eff2-46d2-a324-b04e3c69e15c",
                     "DocType": "Setor"
          ],
          "Id": "60228c56-dff2-46d2-a324-b04e3c69e15b",
          "DocType": "Setor"
        }
      ],
      "Id": "8457e1b7-39dc-462c-8f46-871882faea2c",
      "DocType": "Setor"
    }
  ]
}

如果我想检索Setor,如何查询此SubDocument,例如

"Id": "60228c56-dff2-46d2-a324-b04e3c69e15b"

我知道如果我现在知道它是嵌套的很多级别,我可以写一个查询来查找类似

的内容
Unidade.Setor.Id=="8457e1b7-39dc-462c-8f46-871882faea2c"

但是如何针对未知数量的嵌套级别搜索它,例如1,2,3 n级?

如何找到具有 Id'90228c56-eff2-46d2-a324-b04e3c69e15c'的Setor?

关于如何解决这个问题的评论也将不胜感激。

2 个答案:

答案 0 :(得分:3)

在c#中,我们可以创建一个递归方法来实现这种情况。

这是我创建的BsonDocument:

 BsonDocument doc = new BsonDocument {
            { "id","1"},
            { "DocType", "Unidade"},
            { "Nome", "TONY"},
            { "RG_InscricaoEstadual", "4347924938742"},
            { "Setores",new BsonArray {
             new BsonDocument {
             { "id","9" },
             { "Nome", "Child0"},
             { "Setores", new BsonArray { new BsonDocument {
                          { "id","10" },
                          { "Nome", "Child1"},
                          { "Setores", new BsonArray { new BsonDocument {
                                       { "id","11" },
                                       { "Nome", "Child2"},
                                       {  "Id","90228c56-eff2-46d2-a324-b04e3c69e15c" },
                                       { "DocType", "Setor"}
                                       }
                                       }
                          },
                          {  "Id","60228c56-dff2-46d2-a324-b04e3c69e15b" },
                          { "DocType", "Setor"}
                 }
                 }
                 },
                 {  "Id","8457e1b7-39dc-462c-8f46-871882faea2c" },
                 { "DocType", "Setor"}
                 }
            }
            }
            };

您可以使用Mongo c# Query method从MongoDB获取此BsonDocument。

这是我用来通过“Id”查询文档的递归方法: BsonDocument result = GetID(doc, "90228c56-eff2-46d2-a324-b04e3c69e15c");

 public static BsonDocument GetID(BsonDocument doc, string queryId)
    {
        BsonDocument result = new BsonDocument();
        if (doc.Elements.Where(c => c.Name == "Setores").Count() != 0)
        {
            foreach (var item in doc.GetElement("Setores").Value.AsBsonArray)
            {
                var id = item.AsBsonDocument.GetElement("Id").Value;
                if (id == queryId)
                {
                    result = item.AsBsonDocument;
                    break;
                }
                result = GetID(item.AsBsonDocument, queryId);
            }
        }
        return result;
    }

我希望这可以给你一些提示。

答案 1 :(得分:1)

你唯一能做的就是嵌套查询,即

find({"Unidade.Setor.Id": ObjectId("8457e1b7-39dc-462c-8f46-871882faea2c")
find({"Unidade.Setor.Setor.Id": ObjectId("8457e1b7-39dc-462c-8f46-871882faea2c")
find({"Unidade.Setor.Setor.Setor.Id": ObjectId("8457e1b7-39dc-462c-8f46-871882faea2c")

如果前一个失败,则依次运行。

但请勿!!!

您应该将这些Setor记录存储为单独的文档。您可以使用对彼此的引用存储它们,然后使用lookup(如SQL中的连接)

查询它们

https://docs.mongodb.com/manual/reference/operator/aggregation/lookup/