在 MongoDB 中对集合进行递归搜索 [英] Recursive search on a collection in MongoDB

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本文介绍了在 MongoDB 中对集合进行递归搜索的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我在 MongoDB 中有一个具有树结构的文档列表,其中 使用了父引用的模型树结构 模式.给定'name'属性,我想要一个返回祖先列表(直到根)的聚合查询.

I have a list of documents in MongoDB with tree structure, where Model Tree Structures with Parent References pattern used. I want a single aggregation query which returns ancestor list(till the root), given the 'name' property.

结构:

{
  '_id': '1',
  'name': 'A',
  'parent': '',
},
{
  '_id': '2',
  'name': 'B',
  'parent': 'A',
},
{
  '_id': '3',
  'name': 'C',
  'parent': 'B',
},
{
  '_id': '4',
  'name': 'D',
  'parent': 'C',
}

聚合结果:(Given, name = 'D')

Aggregation result:(Given, name = 'D')

{
  '_id': '4',
  'name': 'D',
  'ancestors': [{name:'C'}, {name:'B'}, {name:'A'}]
}

注意:我现在不能更改文档结构.会引起很多问题.我看到许多建议使用 的解决方案具有祖先数组的模型树结构.但我现在不能使用它.有没有办法使用单个聚合查询通过上述模式来实现它?谢谢

Note: I can't change the document structure now. It will cause many problems. I saw many solutions which suggest to use Model Tree Structures with an Array of Ancestors. But I cannot use it now. Is there any way to achieve it with the above pattern using single aggregation query? Thank you

推荐答案

从 MongoDB 3.4 开始,我们可以使用 Aggregation Framework 来做到这一点.

Starting from MongoDB 3.4, we can do this with the Aggregation Framework.

我们管道中的第一个也是最重要的阶段是 $graphLookup 阶段.$graphLookup 允许我们递归匹配父"和名称"字段.结果,我们得到了每个名字"的祖先.

The first and most important stage in our pipeline is the $graphLookup stage. $graphLookup allows us to recursively match on the "parent" and "name" field. As result, we get the ancestors of each "name".

管道的下一个阶段是 $match 阶段,我们只需选择我们感兴趣的名称".

The next stage in the pipeline is the $match stage where we simply select the "name" we are interested in.

最后阶段是 $addFields$project 阶段我们使用 $map 数组运算符.

The final stage is the $addFields or $project stage where we apply an expression to the "ancestors" array using the $map array operator.

当然是 $reverseArray 运算符我们 反转我们的数组 以获得预期的结果.

Of course with the $reverseArray operator we reverse our array in order to get the expected result.

db.collection.aggregate(
    [ 
        { "$graphLookup": { 
            "from": "collection", 
            "startWith": "$parent", 
            "connectFromField": "parent", 
            "connectToField": "name", 
            "as": "ancestors"
        }}, 
        { "$match": { "name": "D" } }, 
        { "$addFields": { 
            "ancestors": { 
                "$reverseArray": { 
                    "$map": { 
                        "input": "$ancestors", 
                        "as": "t", 
                        "in": { "name": "$$t.name" }
                    } 
                } 
            }
        }}
    ]
)

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