Mongodb 返回多个子数组结果并排除其他返回结果

本文介绍了Mongodb 返回多个子数组结果并排除其他返回结果的处理方法，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

我有以下带有节点数组的集合:

I have the following collection with a node array:

{ "_id" : ObjectId("55acf6187d4c31475417fa62"), "node" : [ { "-id" : "29331496", "-uid" : "1899168", "-changeset" : "26313303", "-lat" : "-37.6104102", "-lon" : "144.9459817", "-timestamp" : "2014-10-25T03:36:51Z", "-user" : "heyitsstevo", "-visible" : "true", "-version" : "6" }, { "-id" : "29331497", "-uid" : "1899168", "-version" : "2", "-lon" : "144.9451088", "-timestamp" : "2014-10-25T03:36:51Z", "-user" : "heyitsstevo", "-visible" : "true", "-changeset" : "26313303", "-lat" : "-37.601881" }, { "-id" : "29331498", "-timestamp" : "2014-10-25T03:36:51Z", "-version" : "3", "-uid" : "1899168", "-user" : "heyitsstevo", "-visible" : "true", "-changeset" : "26313303", "-lat" : "-37.6011267", "-lon" : "144.9448575" }, { "-lon" : "144.943302", "-id" : "29331499", "-timestamp" : "2011-11-23T03:21:40Z", "-user" : "melb_guy", "-version" : "9", "-uid" : "11111", "-visible" : "true", "-changeset" : "9916439", "-lat" : "-37.5983291" }, { "-id" : "60648717", "-uid" : "46482", "-user" : "Zulu99", "-lat" : "-37.6796337", "-lon" : "144.9220639", "-timestamp" : "2009-12-12T21:29:36Z", "-visible" : "true", "-version" : "2", "-changeset" : "3358816" }, { "-id" : "60648718", "-timestamp" : "2009-12-12T21:29:35Z", "-uid" : "46482", "-version" : "2", "-changeset" : "3358816", "-user" : "Zulu99", "-visible" : "true", "-lat" : "-37.6787103", "-lon" : "144.9224609" }, { "-id" : "60648719", "-timestamp" : "2009-12-12T21:28:58Z", "-user" : "Leon K", "-version" : "2", "-changeset" : "3358816", "-uid" : "Zulu99", "-visible" : "true", "-lat" : "-37.677841", "-lon" : "144.9227344" } ] }

如何返回所有具有-user"=Zulu99"的节点并排除其他任何节点?

How do I return all nodes that have the "-user" = "Zulu99" and exclude anything else?

我尝试了以下查询，但它只返回找到的第一个带有Zulu99"的节点:

I have tried the following query but it only returns the first node it finds with "Zulu99":

db.osm.find( { }, { node: {$elemMatch: {'-user': 'Zulu99'}}} )

推荐答案

如果您的文档大小大于 aggregation $unwind 创建 笛卡尔积 问题，即每个数组对象都会创建多个文档，因此它会降低聚合查询速度，如果您想避免这种情况问题使用 $redact 如下所示:

If your documents size more then aggregation $unwind creates Cartesian Product problem i.e every array object creates multiple documents so it creates slow down aggregation query, If you want avoid this problem use $redact as like below :

db.collectionName.aggregate({ "$match": { "node.-user": "Zulu99" } }, { "$redact": { "$cond": { "if": { "$eq": [{ "$ifNull": ["$-user", "Zulu99"] }, "Zulu99"] }, "then": "$$DESCEND", "else": "$$PRUNE" } } }).pretty()

编辑

如果你想要多个条件，那么像这样使用 $cond 和 $and

If you want to multiple conditions then used $cond with $and like this

db.collectionName.aggregate({ "$match": { "node.-user": "Zulu99", "node.-lat": "-37.6787103" } }, { "$redact": { "$cond": { "if": { "$and": [{ "$eq": [{ "$ifNull": ["$-user", "Zulu99"] }, "Zulu99"] }, { "$eq": [{ "$ifNull": ["$-lat", "-37.6787103"] }, "-37.6787103"] }] }, "then": "$$DESCEND", "else": "$$PRUNE" } } }).pretty()

在上面的查询中，如果你想检查 -lat 和 -lon 到 $gt 或 $lt 那么首先你应该改变你的文档中 lat 和 lon 的数据类型它看起来像 String 所以首先改变数据类型String to number然后使用比较运算符.

In above query you get that lat check whether is equal to -37.6787103 or not, if you want to check -lat and -lon to $gt or $lt then first you should changed your data type of both lat and lon in your documents it looks like String so first changed data type String to number then used comparison operator.

第二件事，如果你只想匹配 node 数组对象然后在 readact 之后使用 group 像这样:

Second things if you want only matched node array object then used group after readact like this :

db.collectionName.aggregate({ "$match": { "node.-user": "Zulu99", "node.-lat": "-37.6787103" } }, { "$redact": { "$cond": { "if": { "$and": [{ "$eq": [{ "$ifNull": ["$-user", "Zulu99"] }, "Zulu99"] }, { "$eq": [{ "$ifNull": ["$-lat", "-37.6787103"] }, "-37.6787103"] }] }, "then": "$$DESCEND", "else": "$$PRUNE" } } }, { "$group": { "_id": "$_id", "node": { "$first": "$node" // use $first } } }).pretty()

新编辑

如果您想找出 gte 和 lte 条件，请遵循以下聚合:

If you want to find out gte and lte condition then follow this aggregation :

db.collectionName.aggregate({ "$project": { "check": { "$setDifference": [{ "$map": { "input": "$node", "as": "node1", "in": { "$cond": { "if": { "$and": [{ "$and": [{ "$gte": ["$$node1.-lon", 100] }, { "$lte": ["$$node1.-lon", 150] }] }, { "$and": [{ "$gte": ["$$node1.-lat", -50] }, { "$lte": ["$$node1.-lat", -10] }] }] }, "then": "$$node1", "else": false } } } }, [false] ] } } }).pretty()