I need to join two collection from mongodb. First of all I have an aggregation like this:
db.messages.aggregate([
{
$lookup: {
from :"channels",
localField: "channels",
foreignField: "_id",
as: "merged_channels"
}
}
]).pretty()
after this aggragation my documents looks like this:
{
"_id" : "21ca6117-1f14-4613-9407-db7f3a011142",
"author" : "03072fad-a8fd-53f3-b25f-abbfaf15b055",
"title" : "test2",
"body" : "test2",
"channels" : [
"8008d5a8-eb3b-4e55-98c5-a60fd7275bd2",
"8008d5a8-eb3b-4e55-98c5-a60fd7275bd3"
],
"comments" : [
{
"author" : "03072fad-a8fd-53f3-b25f-abbfaf15b055",
"body" : "comment1",
"created_at" : ISODate("2018-03-15T07:08:10.018Z")
},
{
"author" : "03072fad-a8fd-53f3-b25f-abbfaf15b055",
"body" : "testbody",
"created_at" : ISODate("2018-03-15T07:08:09.366Z")
}
],
"created_at" : ISODate("2018-03-15T07:08:09.018Z"),
"updated_at" : ISODate("2018-03-15T07:08:09.366Z"),
"deleted_at" : null,
"merged_channels" : [
{
"_id" : "8008d5a8-eb3b-4e55-98c5-a60fd7275bd2",
"author" : "03072fad-a8fd-53f3-b25f-abbfaf15b055",
"name" : "chan2",
"members" : [
{
"id" : "8008d5a8-eb3b-4e55-98c5-a60fd7275cb5",
"type" : "group"
}
],
"created_at" : ISODate("2018-03-15T07:08:08.872Z"),
"updated_at" : ISODate("2018-03-15T07:08:08.872Z"),
"deleted_at" : null
},
{
"_id" : "8008d5a8-eb3b-4e55-98c5-a60fd7275bd3",
"author" : "8008d5a8-eb3b-4e55-98c5-a60fd7275fg4",
"name" : "chan3",
"members" : [
{
"id" : "8008d5a8-eb3b-4e55-98c5-a60fd7275cb5",
"type" : "group"
},
{
"id" : "8008d5a8-eb3b-4e55-98c5-a60fd7275cb6",
"type" : "user"
},
{
"id" : "8008d5a8-eb3b-4e55-98c5-a60fd7275cb7",
"type" : "role"
}
],
"created_at" : ISODate("2018-03-15T07:08:08.872Z"),
"updated_at" : ISODate("2018-03-15T07:08:09.358Z"),
"deleted_at" : null
}
]
}
I want to take members fields from chan2 and chan3, union them and put into the root (message) document. And then remove merged_channels field. Remove the merged field is not a problem, but have no idea how to extract fields from subobject and merge them.
How would I achieve this?
You can use below aggregation in 3.4.
$reduce to $concatArrays and project with exclusion to drop the merged_channels field.
db.col.aggregate({
"$addFields":{
"merged_arrays":{
"$reduce":{
"input":"$merged_channels",
"initialValue":[],
"in":{"$concatArrays":["$$value", "$$this.members"]}
}
}
},
{"$project":{"merged_channels":0}}
})
Related
I'm working with MongoDB and I've 2 collections.
data collection ["user-profile"]
{
"_id" : ObjectId("60650e6fc4b4603e1e78bb23"),
"firstName" : "Luthfan",
"lastName" : "Difiesa",
"mobile" : "86742633497",
"gender" : "male",
"createdOn" : ISODate("2021-04-22T05:26:07.428+0000"),
"updatedOn" : ISODate("2021-04-22T05:26:55.218+0000")
}
data collection ["user-wishlist"]
{
"_id" : ObjectId("60650e7a1a4a817a1dd0a29c"),
"userId" : "86742633497",
"contents" : [
{
"_id" : ObjectId("5ef9d2da228f840bbd41649c"),
"name" : "Kelas 11"
}
]
}
expected output:
{
"_id" : ObjectId("60650e6fc4b4603e1e78bb23"),
"firstName" : "Luthfan",
"lastName" : "Difiesa",
"mobile" : "86742633497",
"gender" : "male",
"contents" : [
{
"_id" : ObjectId("5ef9d2da228f840bbd41649c"),
"name" : "Kelas 11"
}
]
}
Here's the query:
db.getCollection("user-profile").aggregate(
[
{
"$lookup" : {
"from" : "user-wishlist",
"localField" : "mobile",
"foreignField" : "userId",
"as" : "contents"
}
}
],
{
"allowDiskUse" : false
}
);
But the result is like this:
{
"_id" : ObjectId("60650e6fc4b4603e1e78bb23"),
"firstName" : "Luthfan",
"lastName" : "Difiesa",
"mobile" : "86742633497",
"gender" : "male",
"contents" : [
]
}
is't because of collection name using special character or type data from foreign or localField? thank u...
Your query looks good, just need add a stage after lookup to achieve your desire result,
{
$addFields: {
contents: {
$arrayElemAt: ["$contents.contents", 0]
}
}
}
Playground
I want to get other collection's field using $lookup.
For example, this is my users collection:
{ "_id" : ObjectId("601c4f89049f9d2cc47eece2"), "username" : "Ahmad", "email" : "aaa#aaa.com", "password" : "$2a$08$fAT1G.db9LjXRV7bOPKNzuosWZ3QGJs2rdHIGmPbWtusDA0Qko47e", "tokens" : [ { "_id" : ObjectId("601d4de52472f01ef4552e77"), "token" : "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6IjYwMWM0Zjg5MDQ5ZjlkMmNjNDdlZWNlMiIsImlhdCI6MTYxMjUzMzIyMSwiZXhwIjoxNjEzMTM4MDIxfQ.lEt5mIQkjVCRFvDJsHoK1rwdN-WELSVWMFW3p8itZBU" }, { "_id" : ObjectId("601c4f89049f9d2cc47eece3"), "token" : "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6IjYwMWM0Zjg5MDQ5ZjlkMmNjNDdlZWNlMiIsImlhdCI6MTYxMjQ2ODEwNSwiZXhwIjoxNjEzMDcyOTA1fQ.WwKCenn7Qh3C1DhJT7H1Kcqu4ZRl0Z7SYJxBV6v87S8" } ], "createdAt" : ISODate("2021-02-04T19:48:25.024Z"),
"updatedAt" : ISODate("2021-02-05T13:53:41.730Z"), "__v" : 0 }
{ "_id" : ObjectId("601c954a59477b1d38e8a69e"), "username" : "fred", "email" : "isded#gmail.com", "password" : "$2a$08$nZ2kusIoSdwgjBpcZX4WTe2sO3tnieUcVIDGXiUCofLSvkdSdTRFa", "tokens" : [ { "_id" : ObjectId("601c954a59477b1d38e8a69f"), "token" : "eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6IjYwMWM5NTRhNTk0NzdiMWQzOGU4YTY5ZSIsImlhdCI6MTYxMjQ4NTk2MiwiZXhwIjoxNjEzMDkwNzYyfQ.bHkhfBlgswerB25za2y3YODk-cbRgGhlcrtr-zaIG9M" } ], "createdAt" : ISODate("2021-02-05T00:46:02.518Z"), "updatedAt" : ISODate("2021-02-05T00:46:02.518Z"), "__v" : 0 }
And here posts collection:
{ "_id" : ObjectId("601c5190939a1e294c688267"), "title" : "abdulila", "content" : "wqd", "category" : "Health", "owner" : ObjectId("601c4f89049f9d2cc47eece2"), "comments" : [ {
"_id" : ObjectId("601c532a5b746f1ad081c57e"), "content" : "Marchgisio", "owner" : ObjectId("601c4f89049f9d2cc47eece2"), "createdAt" : ISODate("2021-02-04T20:03:54.055Z"), "updatedAt" : ISODate("2021-02-04T20:03:54.055Z") }, { "_id" : ObjectId("601c53445b746f1ad081c57f"), "content" : "Balotelli", "owner" : ObjectId("601c4f89049f9d2cc47eece2"), "createdAt" : ISODate("2021-02-04T20:04:20.967Z"), "updatedAt" : ISODate("2021-02-04T20:04:20.967Z") } ], "createdAt" : ISODate("2021-02-04T19:57:04.902Z"), "updatedAt" : ISODate("2021-02-04T20:04:20.968Z"), "__v" : 2 }
{ "_id" : ObjectId("601c958259477b1d38e8a6a0"), "title" : "ohh mighty spurs", "content" : "harry kane", "category" : "Sports", "owner" : ObjectId("601c954a59477b1d38e8a69e"), "comments" : [ { "_id" : ObjectId("601c958f59477b1d38e8a6a1"), "content" : "eorje", "owner" : ObjectId("601c954a59477b1d38e8a69e"), "createdAt" : ISODate("2021-02-05T00:47:11.461Z"), "updatedAt" : ISODate("2021-02-05T00:47:11.461Z") }, { "_id" : ObjectId("601c95cac3b0131328e29344"), "content" : "qwe", "owner" : ObjectId("601c954a59477b1d38e8a69e"), "createdAt" : ISODate("2021-02-05T00:48:10.207Z"), "updatedAt" : ISODate("2021-02-05T00:48:10.207Z") }, { "_id" : ObjectId("601c95e3af31ab1608abd23f"), "content" : "wef", "owner" : ObjectId("601c954a59477b1d38e8a69e"), "createdAt" : ISODate("2021-02-05T00:48:35.168Z"), "updatedAt" : ISODate("2021-02-05T00:48:35.168Z") } ], "createdAt" : ISODate("2021-02-05T00:46:58.962Z"), "updatedAt" : ISODate("2021-02-05T00:48:35.168Z"), "__v" : 3 }
{ "_id" : ObjectId("601d210fbf41fd262c9172c4"), "title" : "bobo", "content" : "hiv is a lie and in god name we will kill all the jews in balastin XD UwU\n", "category" : "Movies", "owner" : ObjectId("601c954a59477b1d38e8a69e"), "comments" : [ ], "createdAt" : ISODate("2021-02-05T10:42:23.773Z"), "updatedAt" : ISODate("2021-02-05T10:42:23.773Z"), "__v"
: 0 }
{ "_id" : ObjectId("601d4a2f1f169d3d9cbfcbfe"), "title" : "Abdallah", "content" : "dfsv", "category" : "Health", "owner" : ObjectId("601c954a59477b1d38e8a69e"), "comments" : [ { "_id" : ObjectId("601d50d80678f626105f943e"), "content" : "dvd", "owner" : ObjectId("601c4f89049f9d2cc47eece2"), "createdAt" : ISODate("2021-02-05T14:06:16.941Z"), "updatedAt"
: ISODate("2021-02-05T14:06:16.941Z") }, { "_id" : ObjectId("601d531fcc80c13fb832af40"), "content" : "svsf", "owner" : ObjectId("601c4f89049f9d2cc47eece2"), "createdAt" : ISODate("2021-02-05T14:15:59.873Z"), "updatedAt" : ISODate("2021-02-05T14:15:59.873Z") } ], "createdAt" : ISODate("2021-02-05T13:37:51.787Z"), "updatedAt" : ISODate("2021-02-05T14:15:59.874Z"), "__v" : 2 }
My purpose is to get all comments of 1 specific post. Then, for each comment - I want its content and owner username.
This is my try:
Post.aggregate([
{
$match: { _id: mongoose.Types.ObjectId(req.query.postID) },
},
{
$limit: 1,
},
{
$project: {
_id: 0,
'comments.owner': 1,
'comments.content': 1,
},
},
]);
So this gives me back the content and the owner id. But I want the owner username which presents in the users collection. How could I achieve this?
I came up with this pipeline. I'm sure it cloud be improve.
The steps are (commented in the pipeline)
Split comments array so we could concentrate on each one
Lookup for the user info
The lookup brings an array of one element, so I unwind it.
Replace the owner object id with the owner username.
Group comments
Project the needed fields
I test this directly on mongodb with one of your post.
[
{
$match: { _id: ObjectId("601d4a2f1f169d3d9cbfcbfe") },
},
{
$unwind: '$comments' //split comments array so we could concentrate on each one
},
{
$lookup: {
from: 'user',
localField: 'comments.owner', // lookup for the user info
foreignField: '_id',
as: 'owner'
}
},
{
$unwind: '$owner' // the lookup brings an array of one element, so I unwind it.
},
{
$addFields: {
'comments.owner': "$owner.username" //replace the owner object id with the owner username
}
},
{
$group: {
_id: '_id', // group comments
'comments': {$push: '$comments'}
}
},
{
$project:{
_id: 0, // project the needed fields
'comments.content':1,
'comments.owner': 1,
}
}
])
Being relatively new in mongodb I performed an aggregation pipeline with this three table and surprisingly I am getting the "r2" array as empty in the third lookup stage of the pipeline.I crosschecked the field names and everything is alright.
db.user.aggregate([
{
$lookup:{
from:"enrollment",
localField:"user_id",
foreignField:"userID",
as:"r1"
}
},
{
$unwind:{
path:"$r1",
includeArrayIndex:"r1_id"
}
},
{
$lookup:{
from:"course",
localField:"r1.courseID",
foreignField:"courseID",
as:"r2"
}
}
])
I have three collection as user , enrollment and course which are.
User as
> db.user.find()
{ "_id" : ObjectId("5ef4ba8d500ac8876da0d2ca"), "user_id" : 1, "first_name" : "Christian",
"last_name" : "Hur", "email" : "christian#uta.com", "password" : "abc1234" }
{ "_id" : ObjectId("5ef4ba8d500ac8876da0d2cb"), "user_id" : 2, "first_name" : "Mary", "last_name" :
"Jane", "email" : "mary.jane#uta.com", "password" : "password123" }
{ "_id" : ObjectId("5ef4bc2563742adee5403b1d"), "user_id" : 3, "first_name" : "ari", "last_name" :
"dutta", "email" : "dutta#uta.com", "password" : "po1234" }
And , course as
> db.course.find()
{ "_id" : ObjectId("5ef4c1b64a77aec0af5e73ae"), "courseID" : 3333, "title" : "Adv PHP 201",
"description" : "Advance PHP programming", "credits" : 3, "term" : "fall" }
{ "_id" : ObjectId("5ef4c20d4a77aec0af5e73af"), "courseID" : 5555, "title" : "Java 201",
"description" : "Advanced Programming", "credits" : 4, "term" : "fall"}
{ "_id" : ObjectId("5ef4c2564a77aec0af5e73b0"), "courseID" : 6666, "title" : "Angular 1",
"description" : "Intro to Angular", "credits" : 3, "term" : "fall,spring" }
And enrollment as
> db.enrollment.find()
{ "_id" : ObjectId("5ef771f42d98ffab4460a651"), "userID" : 1, "courseID" : "3333" }
{ "_id" : ObjectId("5ef7722d2d98ffab4460a652"), "userID" : 1, "courseID" : "6666" }
Result
{ "_id" : ObjectId("5ef4ba8d500ac8876da0d2ca"), "user_id" : 1, "first_name" :
"Christian", "last_name" : "Hur", "email" : "christian#uta.com", "password" :
"abc1234", "r1" : { "_id" : ObjectId("5ef771f42d98ffab4460a651"), "userID" :
1, "courseID" : "3333" }, "r1_id" : NumberLong(0), "r2" : [ ] }
{ "_id" : ObjectId("5ef4ba8d500ac8876da0d2ca"), "user_id" : 1, "first_name" :
"Christian", "last_name" : "Hur", "email" : "christian#uta.com", "password" :
"abc1234", "r1" : { "_id" : ObjectId("5ef7722d2d98ffab4460a652"), "userID" :
1, "courseID" : "6666" }, "r1_id" : NumberLong(1), "r2" : [ ] }
I also checked the documentation but found no help , how can I fix this ?
You have a type mismach on courseID between the collections, in enrollment it's type string and in course it's type number.
Change your $lookup into this:
{
$lookup: {
from: "course",
let: {
courseID: {
$toInt: "$r1.courseID"
}
},
pipeline: [
{
$match: {
$expr: {
$eq: [
"$$courseID",
"$courseID"
]
}
}
}
],
as: "r2"
}
}
Try it yourself:
Mongo Playground
Also since you say you're new I personally advice you to use the _id field instead of the courseID/user_id that you generated yourself. it will just make it easier to maintain.
For Mongo version 4.2+ here is how to update the enrollment collection field:
db.enrollment.updateMany(
{},
[
{
$set: {
courseID: {$toInt: "$courseID"}
}
}
]
)
I have 2 collections structured as below. I have tried $lookup to get the result but I am not getting any result because of my local and foreign fields are in array of object.
Below is my structure:
{
"_id" : ObjectId("5795a3531d3f3afc19caefef"),
"name" : "category1",
"updatedAt" : "1469431592786",
"resources" : [
{
"_id" : ObjectId("5791be003fa3bedc15d3adde"),
"title" : "resource1",
"availability" : false
},
{
"_id" : ObjectId("5795a3771d3f3afc19caeff0"),
"title" : "resource2",
"availability" : true
}
]
}
Above "categories" schema have resources array of object. this resource _id is stored in bookings collection in following way:
"booking":
{
"_id" : ObjectId("57960aa8000ca7a46b7ef683"),
"name" : "1469491200000",
"__v" : 0,
"schedule" : [
{
"resourceId" : ObjectId("5791be003fa3bedc15d3adde"),
"userId" : ObjectId("5791be003fa3bedc15d3adcve"),
"title" : "grofep",
"_id" : ObjectId("57960aa8f9f9951c1fc923b1")
},
{
"resourceId" : ObjectId("5791be003fa3bedc15d3bddz"),
"userId" : ObjectId("5791be003fa3bedc15d3adcve"),
"title" : "mr3",
"_id" : ObjectId("57960aa8f9f9951c1fc923b2")
},
{
"resourceId" : ObjectId("5791be003fa3bedc15d3adde"),
"userId" : ObjectId("5791be003fa3bedc15d3adcve"),
"title" : "grofep23",
"_id" : ObjectId("57960aa8f9f9951c1fc923b3")
}
]
}
Now I want to get all the schedule of booking collection with their resource information.I want to fetch resources from categories table on the basis of booking schedule.
Desired output:
[
{
"name" : "1469491200000",
"resourceId" : ObjectId("5791be003fa3bedc15d3adde"),
"resourceTitle":"title",
"availability":false,
"bookings": [
{
"userId" : ObjectId("5791be003fa3bedc15d3adcve"),
"title" : "grofep",
"_id" : ObjectId("57960aa8f9f9951c1fc923b1")
},
{
"userId" : ObjectId("5791be003fa3bedc15d3adcve"),
"title" : "grofep23",
"_id" : ObjectId("57960aa8f9f9951c1fc923b3")
}
]
},
{
"name" : "1469491200000",
"resourceId" : ObjectId("5791be003fa3bedc15d3bddz"),
"resourceTitle":"mr3",
"availability":false,
"bookings": [
{
"userId" : ObjectId("5791be003fa3bedc15d3adcve"),
"title" : "mr3",
"_id" : ObjectId("57960aa8f9f9951c1fc923b2")
}
]
}
]
Help me to get this desired result.
Thanks.
Let say I have this kind of document structured, the attributes field will be the embedded document
and I've already indexed the attributes.key and attributes.value
1-------------------------------------------------------------------------------------
{
"_id" : ObjectId( "5191d8e5d00560402e000001" ),
"attributes" : [
{ "key" : "pobox","value" : "QaKUWo" },
{ "key" : "city", "value" : "CBDRip" },
{ "key" : "address","value" : "zmycAa" } ],
"email" : "FWAUdl_2#email.com",
"firstname" : "FWAUdl_2"
}
2-------------------------------------------------------------------------------------
{
"_id" : ObjectId( "5191d8e7d00560402e000055" ),
"attributes" : [
{ "key" : "pobox", "value" : "sNFriy" },
{ "key" : "city", "value" : "JPdVrI" },
{ "key" : "address", "value" : "phOluW" } ],
"email" : "hqYNWH_86#email.com",
"firstname" : "hqYNWH_86"
}
My problem is how to get exact document when querying based only on the attributes field,
db.app.find({ attributes.key:address , attributes.value:/.*uw.*/i })
The query result is not as I expected, it should result only the 2nd document only without the 1st document.
I know that I put regex on the attributes.value, I was expecting that it only check for attributes.key that have address value.
And what if I want to filter another key, such like,
db.app.find({ attributes.key:address , attributes.value:/.*uw.*/i , attributes.key:city , attributes.value:/.*ri.*/i })
Any opinion will be helpful guys.
Thx.
I guess you need $elemMatch ( http://docs.mongodb.org/manual/reference/operator/elemMatch/ )
db.test123.find({ attributes : { $elemMatch : { 'key':"address" , 'value':/.*uw.*/i } } }).pretty()
{
"_id" : ObjectId("5191d8e7d00560402e000055"),
"attributes" : [
{
"key" : "pobox",
"value" : "sNFriy"
},
{
"key" : "city",
"value" : "JPdVrI"
},
{
"key" : "address",
"value" : "phOluW"
}
],
"email" : "hqYNWH_86#email.com",
"firstname" : "hqYNWH_86"
}
Just investigated a little and figured out following. The following uses the index mentioned below. You can do a explain() on the find() to check more index usage details
db.testing.getIndexKeys()
[ { "_id" : 1 }, { "attributes.key" : 1, "attributes.value" : 1 } ]
test:Mongo > db.testing.find({$and : [ { attributes : {$elemMatch : {key : 'address', value : /.*uw.*/i }} }, { attributes : {$elemMatch : {key : 'city', value : /.*ri.*/i }} }] }).pretty()
{
"_id" : ObjectId("5191d8e7d00560402e000055"),
"attributes" : [
{
"key" : "pobox",
"value" : "sNFriy"
},
{
"key" : "city",
"value" : "JPdVrI"
},
{
"key" : "address",
"value" : "phOluW"
}
],
"email" : "hqYNWH_86#email.com",
"firstname" : "hqYNWH_86"
}