我有2个集ServiceProvider
和Parents
的ServiceProvider:
{
"_id" : ObjectId("57285bc0588aeca4178b4567"),
"ServiceProviderID" : 193,
"Title" : "test1",
"PostedMessage" : "test1",
"TotalComments" : 0,
"TotalShares" : 0,
"TotalThanks" : 0,
"AddedOn" : "2016-05-03 08:05:20",
"LastModifiedOn" : "2016-05-03 08:05:20",
"PostAttachment" : {
"ImagePath" : ""
},
"PostCommentUserIDs" : [
"193",
"3"
],
"PostComments" : [
{
"ID" : "14622628001303558386",
"UserID" : 3,
"CommentMessage" : "comment by test",
"TotalThanks" : 0,
"AddedOn" : "2016-05-03 08:06:40",
"LastModifiedOn" : "2016-05-03 08:06:40",
"CommentAttachment" : {
"ImagePath" : ""
}
}
],
"Subscriber" : [
"193",
"3"
]
}
父母:
{
"_id" : ObjectId("572447e6588aec32108b4567"),
"ID" : "1",
"UID" : "2uwWMABSjBPWdAlSnglAlsY7A1cD1Q7EmHiM9wehxXyY99AQs6eC7rEt",
"Name" : "test1",
"ProfileImagePath" : "Penguins_1#SIZE#.jpg"
}
{
"_id" : ObjectId("572447e6588aec32108b4568"),
"ID" : "2",
"UID" : "NM8H6oYQW33dRPxn48wkcMYyciYqagRiXUO0cLh0Lvws6eC7rEt",
"Name" : "test2",
"ProfileImagePath" : "fb_profilepic_879157302148180#SIZE#.jpg"
}
{
"_id" : ObjectId("572447e6588aec32108b4569"),
"ID" : "3",
"UID" : "0Xb1fHqzR3HZVJWQc8aAbB77UkwSnmasdQrtp9qySVdqipsYs6eC7rEt",
"Name" : "test3",
"ProfileImagePath" : "images3_3_1460348144#SIZE#.jpeg"
}
{
"_id" : ObjectId("572447e6588aec32108b456a"),
"ID" : "4",
"UID" : "xXyY99NaNixXyY99IfuJx4Is8Fv15t9lMC8RYpSgaAbB77zmB65c7vccvYs6eC7rEt",
"Name" : "test4",
"ProfileImagePath" : "Jyoti_4#SIZE#.png"
}
{
"_id" : ObjectId("572447e6588aec32108b456b"),
"ID" : "5",
"UID" : "leyerH3hMY8UA3ONddJHDOHxXyY99IhhOgAImLZoQJ10RRxXyY99Us6eC7rEt",
"Name" : "test8",
"ProfileImagePath" : "woman-1_5#SIZE#.jpg"
}
{
"_id" : ObjectId("572447e6588aec32108b456c"),
"ID" : "6",
"UID" : "B414HAxXyY996QezhAmWgJQmjoWUEhsNghXAcKRTEbNNHJXYs6eC7rEt",
"Name" : "test5",
"ProfileImagePath" : "Chrysanthemum_6#SIZE#.jpg"
}
我希望ServiceProvider.PostCommentUserIDs
加入Parents
集合以获取父信息。
我尝试过以下查询:
db.ServiceProvider.aggregate([
{
$unwind: "$PostCommentUserIDs"
},
{
$lookup:
{
from: "Parents",
localField: "PostCommentUserIDs",
foreignField: "ID",
as: "ParentDetailsArr"
}
},
{
$match: { "ParentDetailsArr": { $ne: [] }}
}
])
但是它给了我 2个结果和相同的ServiceProvider._id
相同的文档。
{
"_id" : ObjectId("57285bc0588aeca4178b4567"),
"ServiceProviderID" : 193,
"Title" : "test1",
"PostedMessage" : "test1",
"TotalComments" : 0,
"TotalShares" : 0,
"TotalThanks" : 0,
"AddedOn" : "2016-05-03 08:05:20",
"LastModifiedOn" : "2016-05-03 08:05:20",
"PostAttachment" : {
"ImagePath" : ""
},
"PostCommentUserIDs" : "193",
"PostComments" : [
{
"ID" : "14622628001303558386",
"UserID" : 3,
"CommentMessage" : "comment by test",
"TotalThanks" : 0,
"AddedOn" : "2016-05-03 08:06:40",
"LastModifiedOn" : "2016-05-03 08:06:40",
"CommentAttachment" : {
"ImagePath" : ""
}
}
],
"Subscriber" : [
"193",
"3"
],
"ParentDetailsArr" : [
{
"_id" : ObjectId("572447e6588aec32108b45c6"),
"ID" : "193",
"UID" : "tvzRNsSiOVca8DoOEV9tMkzU4e0Rx4aMMDcQw3fb88Us6eC7rEt",
"Name" : "test1",
"ProfileImagePath" : null
},
{
"_id" : ObjectId("572856a4588aec01178b45c6"),
"ID" : "193",
"UID" : "tvzRNsSiOVca8DoOEV9tMkzU4e0Rx4aMMDcQw3fb88Us6eC7rEt",
"Name" : "test1",
"ProfileImagePath" : "images_193_1462255293#SIZE#.jpg"
}
]
}
{
"_id" : ObjectId("57285bc0588aeca4178b4567"),
"ServiceProviderID" : 193,
"Title" : "test1",
"PostedMessage" : "test1",
"TotalComments" : 0,
"TotalShares" : 0,
"TotalThanks" : 0,
"AddedOn" : "2016-05-03 08:05:20",
"LastModifiedOn" : "2016-05-03 08:05:20",
"PostAttachment" : {
"ImagePath" : ""
},
"PostCommentUserIDs" : "3",
"PostComments" : [
{
"ID" : "14622628001303558386",
"UserID" : 3,
"CommentMessage" : "comment by test",
"TotalThanks" : 0,
"AddedOn" : "2016-05-03 08:06:40",
"LastModifiedOn" : "2016-05-03 08:06:40",
"CommentAttachment" : {
"ImagePath" : ""
}
}
],
"Subscriber" : [
"193",
"3"
],
"ParentDetailsArr" : [
{
"_id" : ObjectId("572447e6588aec32108b4569"),
"ID" : "3",
"UID" : "0Xb1fHqzR3HZVJWQc8aAbB77UkwSnmasdQrtp9qySVdqipsYs6eC7rEt",
"Name" : "test2",
"ProfileImagePath" : "images3_3_1460348144#SIZE#.jpeg"
},
{
"_id" : ObjectId("572856a4588aec01178b4569"),
"ID" : "3",
"UID" : "0Xb1fHqzR3HZVJWQc8aAbB77UkwSnmasdQrtp9qySVdqipsYs6eC7rEt",
"Name" : "test2",
"ProfileImagePath" : "images3_3_1460348144#SIZE#.jpeg"
}
]
}
我的问题是如何通过_id
应用分组或如何重建上述查询,以便我获得每个文档的父信息数组。
答案 0 :(得分:2)
这就是放松的方式。正如https://docs.mongodb.org/v3.0/reference/operator/aggregation/unwind/
所述考虑包含以下文档的清单:
{ "_id" : 1, "item" : "ABC1", sizes: [ "S", "M", "L"] }
以下聚合使用$ unwind阶段为sizes数组中的每个元素输出文档:
db.inventory.aggregate( [ { $unwind : "$sizes" } ] )
该操作返回以下结果:
{ "_id" : 1, "item" : "ABC1", "sizes" : "S" }
{ "_id" : 1, "item" : "ABC1", "sizes" : "M" }
{ "_id" : 1, "item" : "ABC1", "sizes" : "L" }
标准情况是,您要展开要查找/排序的资源或使用它进行任何其他操作,然后将其分组以使其达到与以前相同的“相同状态”。
在您的情况下,您可能希望将其分组为
{$group : { _id : "$_id" } }
您很可能需要在之后使用$ push(google it)