Mongodb聚合从文档内部检索文档
我对MongoDB的聚合有问题 在我的作业文档中,它具有creatorParentsingle值和mongodb对象id的Childrenarray。在用户文档中,用户具有具有子详细信息的子数组 当用户请求检索此文档时,如果数组包含子元素的id,我希望聚合子元素详细信息 我在一些帮助下写了一个聚合,它对creatorParent有效,但无论我做了什么尝试,它对孩子们都不起作用Mongodb聚合从文档内部检索文档,mongodb,aggregation-framework,Mongodb,Aggregation Framework,我对MongoDB的聚合有问题 在我的作业文档中,它具有creatorParentsingle值和mongodb对象id的Childrenarray。在用户文档中,用户具有具有子详细信息的子数组 当用户请求检索此文档时,如果数组包含子元素的id,我希望聚合子元素详细信息 我在一些帮助下写了一个聚合,它对creatorParent有效,但无论我做了什么尝试,它对孩子们都不起作用 db.getCollection('Jobs').aggregate([ { $unwind:
db.getCollection('Jobs').aggregate([
{
$unwind: {
path : "$children"
}
},
{
$lookup: {
"from" : "Users",
"localField" : "creatorparent",
"foreignField" : "_id",
"as" : "creatorparent"
}
},
{
$lookup: {
"from" : "Users",
"localField" : "children",
"foreignField" : "children",
"as" : "children"
}
}
])
用户文档:
{
"_id" : ObjectId("58daf84877733645eaa9b44f"),
"email" : "meto93@gmail.com",
"password" : "vpGl+Fjnef616cRgNbCkwaFDpSI=",
"passwordsalt" : "99397F4A9D3A499D96694547667E74595CE994D2E83345D6953EF866303E8B65",
"children" : [
{
"_id" : ObjectId("58daf84977733645eaa9b450"),
"name" : "Mert",
"age" : 5,
"additionalinformation" : "ilk cocuk",
"creationtime" : ISODate("2017-03-28T23:56:56.952Z"),
"userid" : ObjectId("58daf84877733645eaa9b44f"),
"gender" : null
},
{
"_id" : ObjectId("58daf84977733645eaa9b451"),
"name" : "Sencer",
"age" : 7,
"additionalinformation" : "ikinci cocuk",
"creationtime" : ISODate("2017-03-28T23:56:56.952Z"),
"userid" : ObjectId("58daf84877733645eaa9b44f"),
"gender" : null
}
]
}
工作
试试这个:
db.jobs.aggregate(
[
{
$unwind: {
path : "$children",
}
},
{
$lookup: {
"from" : "users",
"localField" : "creatorparent",
"foreignField" : "_id",
"as" : "creatorparent"
}
},
{
$lookup: {
"from" : "users",
"localField" : "children",
"foreignField" : "children._id",
"as" : "children"
}
},
{
$addFields: {
children : {$arrayElemAt : ["$children",0]}
}
},
{
$addFields: {
"children":"$children.children"
}
},
{
$unwind: {
path : "$children",
}
},
{
$group: {
"_id": "$_id",
"name": { "$first": "$name" },
"jobstatus" : { "$first": "$jobstatus" },
"hourlyrate" : { "$first": "$hourlyrate" },
"creatorparent" : { "$first" : "$creatorparent" },
"children": { "$addToSet": "$children" }
}
},
]
);
请添加作业和中的示例文档Users@felix我添加了一些例子
db.jobs.aggregate(
[
{
$unwind: {
path : "$children",
}
},
{
$lookup: {
"from" : "users",
"localField" : "creatorparent",
"foreignField" : "_id",
"as" : "creatorparent"
}
},
{
$lookup: {
"from" : "users",
"localField" : "children",
"foreignField" : "children._id",
"as" : "children"
}
},
{
$addFields: {
children : {$arrayElemAt : ["$children",0]}
}
},
{
$addFields: {
"children":"$children.children"
}
},
{
$unwind: {
path : "$children",
}
},
{
$group: {
"_id": "$_id",
"name": { "$first": "$name" },
"jobstatus" : { "$first": "$jobstatus" },
"hourlyrate" : { "$first": "$hourlyrate" },
"creatorparent" : { "$first" : "$creatorparent" },
"children": { "$addToSet": "$children" }
}
},
]
);