我有一个集合,其中包含两种类型的文档。基于我想要执行查找聚合的文档类型。
Action是一个集合,包含对话和消息类型的操作。我想根据MongoDB中的字段以不同方式执行对话和消息的查找。
会话类型的操作文档如下
{
"_id" : ObjectId("592bdeaf45c7201421793871"),
"actionType" : "conversation",
"created" : NumberInt(1496047280),
"users" : [
ObjectId("590c53a85fba594a59fe3d0f"),
ObjectId("590c50175df715499129e41b")
],
"conversationId" : ObjectId("592bdeaf45c7201421793870"),
"missionId" : ObjectId("590c50fa5df715499129e41c")
}
消息的行动文件
{
"_id" : ObjectId("592bdeaf45c7201421793871"),
"actionType" : "message",
"created" : NumberInt(1496047280),
"messageId" : ObjectId("592bdeaf45c7201421793870")
}
我希望在特定时间之后执行操作,并希望执行查找以从对象ID获取对话和消息数据。
我试过这个
let matchQuery = {
users : new ObjectId(userId),
created:
{
$gt : createdTime
}};
let aggregation = [
{
$match : matchQuery
},
{$cond :
{if:
{
$users:{
$exists:true
}
},
then: {
$unwind : "$users",
$lookup: {
from : "users",
localfield:"$users",
foreignfield:"_id",
as:"userDetail"
},
$group:{
"users" : { $push : "userDetail"}
}
}
}
},
{$cond :
{if:
{
$conversationId:{
$exists:true
}
},
then: {
$lookup : {
from:"conversations",
localfield:"conversationId",
foreignfield:"_id",
as:"conversationDetail"
}
}
}
},
{$cond :
{if:
{
$missionId:{
$exists:true
}
},
then: {
$lookup : {
from:"services_v2",
localfield:"missionId",
foreignfield:"_id",
as:"missionDetail"
}
}
}
},
{$cond :
{if:
{
$messageId:{
$exists:true
}
},
then: {
$lookup : {
from:"messagev2",
localfield:"messageId",
foreignfield:"_id",
as:"messageDetail"
}
}
}
},
{
$project : {
"_id" : 1,
"actionType" : 1,
"userDetail":1,
"conversationDetail":1,
"missionDetail":1,
"messageDetail":1
}}
];
connection.collection('actions')
.aggregate(aggregation).toArray((err,result)=> {
if(err){
console.log(err);
}
console.log(result);
})
};
答案 0 :(得分:7)
我认为你过分思考这一点并且你不需要进行条件查找"并且它可能最好以示例来证明。
将这些文档放在单独的集合中,首先是对话:
> db.conversation.find()
{ "_id" : ObjectId("592ccbf8fceb6b40e6489759"), "message" : "I'm here" }
然后是消息集:
> db.message.find()
{ "_id" : ObjectId("592ccc0bfceb6b40e648975a"), "text" : "Something here" }
然后我有一个主集合,它在不同的文档中引用了每个文档:
> db.master.find()
{
"_id" : ObjectId("592ccc73fceb6b40e648975b"),
"a" : 1,
"conversation" : ObjectId("592ccbf8fceb6b40e6489759")
}
{
"_id" : ObjectId("592ccc95fceb6b40e648975c"),
"a" : 2,
"message" : ObjectId("592ccc0bfceb6b40e648975a")
}
现在,如果我执行$lookup
操作(这有点类似于"左连接"):
db.master.aggregate([
{ "$lookup": {
"from": "conversation",
"localField": "conversation",
"foreignField": "_id",
"as": "conversation"
}}
])
然后我得到一个这样的结果,当然在文档上投射一个没有"localField"
匹配的空数组:
{
"_id" : ObjectId("592ccc73fceb6b40e648975b"),
"a" : 1,
"conversation" : [
{
"_id" : ObjectId("592ccbf8fceb6b40e6489759"),
"message" : "I'm here"
}
]
}
{
"_id" : ObjectId("592ccc95fceb6b40e648975c"),
"a" : 2,
"message" : ObjectId("592ccc0bfceb6b40e648975a"),
"conversation" : [ ]
}
如果我现在添加到管道a" second"链接到邮件集合的$lookup
操作:
db.master.aggregate([
{ "$lookup": {
"from": "conversation",
"localField": "conversation",
"foreignField": "_id",
"as": "conversation"
}},
{ "$lookup": {
"from": "message",
"localField": "message",
"foreignField": "_id",
"as": "message"
}}
])
然后我们看到类似的效果,其中没有属性的文档现在有一个空数组,但是属性确实存在的地方我们现在有来自特定集合的条目:
{
"_id" : ObjectId("592ccc73fceb6b40e648975b"),
"a" : 1,
"conversation" : [
{
"_id" : ObjectId("592ccbf8fceb6b40e6489759"),
"message" : "I'm here"
}
],
"message" : [ ]
}
{
"_id" : ObjectId("592ccc95fceb6b40e648975c"),
"a" : 2,
"message" : [
{
"_id" : ObjectId("592ccc0bfceb6b40e648975a"),
"text" : "Something here"
}
],
"conversation" : [ ]
}
您可以保留原样(这似乎是您目前所尝试的最终状态),或者现在使用它进行其他操作,例如合并到一个数组中:
db.master.aggregate([
{ "$lookup": {
"from": "conversation",
"localField": "conversation",
"foreignField": "_id",
"as": "conversation"
}},
{ "$lookup": {
"from": "message",
"localField": "message",
"foreignField": "_id",
"as": "message"
}},
{ "$project": {
"a": 1,
"combined": {
"$concatArrays": [
{ "$map": {
"input": "$conversation",
"as": "el",
"in": {
"type": "conversation",
"_id": "$$el._id",
"message": "$$el.message"
}
}},
{ "$map": {
"input": "$message",
"as": "el",
"in": {
"type": "message",
"_id": "$$el._id",
"text": "$$el.text"
}
}}
]
}
}}
])
输出为:
{
"_id" : ObjectId("592ccc73fceb6b40e648975b"),
"a" : 1,
"combined" : [
{
"type" : "conversation",
"_id" : ObjectId("592ccbf8fceb6b40e6489759"),
"message" : "I'm here"
}
]
}
{
"_id" : ObjectId("592ccc95fceb6b40e648975c"),
"a" : 2,
"combined" : [
{
"type" : "message",
"_id" : ObjectId("592ccc0bfceb6b40e648975a"),
"text" : "Something here"
}
]
}
关键在于$lookup
将故意简单地留下一个空洞的#arrray"如果"localField"
或"foreignField"
表达式与任何元素都不匹配。除了为目标添加空数组属性之外,这不会影响返回的文档结果。
现在你可以"松散"使用$unwind
的文档,但只有在省略"preserveNullAndEmptyArrays"
选项时才会发生这种情况,该选项可用于处理此类事件。
但是对于"鉴别器的一般用法"基于$lookup
,然后只需为您想要的每个集合使用单独的管道阶段" link"到。