I have visitors array. Based on length I want to fetch first 40(highest visted) videos. Is there any query in mongoose for this?
"videos": [],
"description": "Runs for indai",
"status": 1,
"_id": "5e68ee512d3fe53a4426fea5",
"likes": [],
"visited": [{
"_id": "5e690d28797f5b05e066104d",
"user": "::1"
},
{
"_id": "5e690d14797f5b05e066104c",
"user": "::1"
},
{
"_id": "5e690cf7797f5b05e066104b",
"user": "::1"
}],
"comments": [],
"embed": "https://wwdalkfa.com/idaa/46221",
"category": "Mathrubhumi",
"title": "Bdis idnc - Aria.",
"link": "https://www.mdaoa.com/video/46221/dafa",
"image": "https://www.mdaoa.com/media/videos/dstmb1/46221/1b.jpg",
"keywords": "adjal","DAfa",
"__v": 0
controller
exports.getTrendingVideos = async (req, res) => {
try {
const videos = await Video.find().limit(40);
res.send(videos);
} catch (error) {}
};
First, get the length of the array and then sort it, You can do it like this
const videos = await Video.aggregate([
{ $project: { visitedCount: { $size: '$visited' } } },
{ $sort: { $visitedCount: -1 } },
]).limit(40);
Related
As of now I am able to delete the specific files from filestorage.files collection based on query but I am trying to delete the specific chunks from filesstorage.chunks collection based on files_id. Can someone please suggest me the good approach to achieve it.
Should I use aggregations ? or any looping mechanism ?
Please find the below details
filestorage.files collection:
[{
"_id": {
"$oid": "635a68aa0651c2d869fc3fd3"
},
"length": 878669,
"chunkSize": 261120,
"uploadDate": {
"$date": {
"$numberLong": "1666869418612"
}
},
"filename": "pexels-lucie-liz-3165335_2022-10-27T11-16-58.jpg",
"contentType": "image/jpeg",
"metadata": {
"originalname": "pexels-lucie-liz-3165335.jpg",
"parentFolder": {
"$oid": "636cd238692344da47f3e301"
},
"path": "files/Folder1/Folder3/pexels-lucie-liz-3165335_2022-10-27T11-16-58.jpg"
}
},
{
"_id": {
"$oid": "635a68aa0651c2d869fc3fd4"
},
"length": 878669,
"chunkSize": 261120,
"uploadDate": {
"$date": {
"$numberLong": "1666869418612"
}
},
"filename": "nature-3165335_2022-10-27T11-16-58.jpg",
"contentType": "image/jpeg",
"metadata": {
"originalname": "nature-3165335.jpg",
"parentFolder": {
"$oid": "636cd238692344da47f3e301"
},
"path": "files/Folder1/Folder3/nature-3165335_2022-10-27T11-16-58.jpg"
}
}]
filestorage.chunks collection :
[{
"_id": {
"$oid": "635a68aa0651c2d869fc3fe6"
},
"files_id": {
"$oid": "635a68aa0651c2d869fc3fd3"
},
"n": 0,
"data": {
"$binary": {
"base64" : "xyz"
"subType": "00"
}
}
},
{
"_id": {
"$oid": "635a68aa0651c2d869fc3fd5"
},
"files_id": {
"$oid": "635a68aa0651c2d869fc3fd3"
},
"n": 0,
"data": {
"$binary": {
"base64" : "abcd"
"subType": "00"
}
}
}]
Here is what I have tried :
delete_folder_files: async (ctx:any) => {
// here I am able to delete all the files but confused how to connect chunks schema and delete chunks // based on files_id.
await FileStorage.deleteMany({'metadata.parentFolder': ctx.params.id});
await FileChunk.deleteMany({files_id : ? })
ctx.status = HttpStatusCode.OK;
}
As I can see you are deleting the file ids . So after that you do not have any relation to delete the chunks in fileChunk collection .
Here is what I am thinking , First get all the file ids as an array and later you can delete the chunks with the folder_ids by querying them as array.
const file_ids = await FileStorage.find({'metadata.parentFolder': ctx.params.id },{_id:1}).distinct('_id');
await FileStorage.deleteMany({'metadata.parentFolder':ctx.params.id });
await FileChunk.deleteMany({files_id:{$in:file_ids}});
Note : Please check the performance of the query by uploading multiple files.
In my client I have a form that is sent and stored in Mongo. Made an aggregation to get the name of the people that selected a same place, date and time. Now I would like to create a Mongo document containing all matches as collections so whenever there is a match in place, date and time of people you can get it in a collection. This is what I have so far:
router.get('/match', async (req, res) => {
const matchs = await Forms.aggregate([
{
$group: {
_id: { Date: "$date", Time: "$time", Place: "$place" },
Data: { $addToSet: {Name: "$firstName", Surname:"$surname"}},
count: { $sum: 1 }
}
},
{
$match: {
count: { $gte: 2}
}
},
]);
res.json(matchs)
});
This is the result that I would like to store in Mongo:
{
"_id": {
"Date": "2022-04-20",
"Time": "15:00",
"Place": "Mall"
},
"Data": [
{
"Name": "Carl",
"Surname": "Man"
},
{
"Name": "Christian",
"Surname": "Max"
}
],
"count": 2
}
{
"_id": {
"Date": "2022-04-20",
"Time": "13:00",
"Place": "Restaurant"
},
"Data": [
{
"Name": "Felix",
"Surname": "Sad"
},
{
"Name": "Liu",
"Surname": "Lam"
}
],
"count": 2
}
You can use $out as the last stage in your pipeline. In the following example, matching_collection will contain the result of your pipeline.
{ $out : "matching_collection" }
https://www.mongodb.com/docs/v4.2/reference/operator/aggregation/out/
You can also check $merge, it could be helpful as well.
Following is the Sample Workspace document.I want to update box positions when we drag and drop at front end.
{
"_id": ObjectId("5eaa9b7c87e99ef2430a320b"),
"logo": {
"url": ".../../../assets/logo/dsdsds.png",
"name": "testUpload"
},
"name": "My World",
"sections": [{
"box": [{
"_id": ObjectId("5da87b33502d6c634b3aa7ce"),
"name": "Meran To",
"position": 0
},
{
"_id": ObjectId("5da87b33502d6c7d873aa7d0"),
"name": "Documentation",
"position": 2
},
{
"_id": ObjectId("5da87b33502d6cdbb93aa7cf"),
"name": "File Manager Upload File Drive",
"position": 1
},
{
"_id": ObjectId("5da87b33502d6c276a3aa7cd"),
"name": "File Manager Upload File Drive",
"position": 1
}
],
"id": 1,
"title": "Simplicity",
"description": "Follow your barriers"
},
{
"box": [],
"id": 2,
"title": "xfxdfxcx 34",
"description": "sdsdsd sfsfsd ewrewrewre"
}
]
}
I send the updated positions from front-end to back-end via API, in an array as shown below.
[
{
"id": "5da87b33502d6c634b3aa7ce",
"position": 0
}, {
"id": "5da87b33502d6c7d873aa7d0",
"position": 1
}, {
"id": "5da87b33502d6cdbb93aa7cf",
"position": 2
}, {
"id": "5da87b33502d6c276a3aa7cd",
"position": 3
}]
I am currently updating DB using the below code
for (const el of req.body) {
await this.model.updateOne({
_id: req.params.workspaceId,
sections: {
$elemMatch: {
id: req.params.sectionId
}
},
'sections.box': {
$elemMatch: {
_id: el.id
}
},
}, {
$set: {
'sections.$[outer].box.$[inner].position': el.position
}
}, {
arrayFilters: [{
'outer.id': req.params.sectionId
}, {
'inner._id': el.id
}],
upsert: false,
});
}
But this is not the best method, it hits DB multiple times.
so I need to optimize this code with mongoose query itself.
May be using $set / $push.I don't know any exact methods.
So basically we need to remove the external for loop and make it work with mongoose itself.This is my requirement.
Thanks in advance for all the support.
There are 2 methods for doing it.
bulkWrite
const bulkOps = [];
req.body.forEach((el) => {
const upsertDoc = {
updateOne: {
filter: {
_id: req.params.workspaceId,
sections: {
$elemMatch: {
id: req.params.sectionId
}
},
'sections.box': {
$elemMatch: {
_id: el.id
}
},
},
update: {
$set: {
'sections.$[outer].box.$[inner].position': el.position
}
},
arrayFilters: [{
'outer.id': req.params.sectionId
}, {
'inner._id': el.id
}],
upsert: false,
}
};
bulkOps.push(upsertDoc);
});
const result = await this.model.collection.bulkWrite(bulkOps);
bulkUpdate
const bulkUpdate = this.model.collection.initializeUnorderedBulkOp();
req.body.forEach((el) => {
bulkUpdate.find({
_id: req.params.workspaceId,
sections: { $elemMatch: { id: req.params.sectionId } },
'sections.box': { $elemMatch: { _id: el.id } },
}).arrayFilters([{ 'outer.id': req.params.sectionId }, { 'inner._id': el.id }])
.updateOne({ $set: { 'sections.$[outer].box.$[inner].position': el.position }
});
});
await bulkUpdate.execute();
I have collection trusted contacts. I need to filter the document by the user. When I use method findOne I have a result, but when I use $match I got an empty array. I don't know why $match doesn't work for me.
Collection trusted contacts:
{
"_id": {
"$oid": "5d76008e4b98e63e58cb34cc"
},
"date": {
"$date": "2019-09-09T07:32:20.174Z"
},
"approvedTrustedContacts": [
{
"_id": {
"$oid": "5d764e411b7476462cf6b540"
},
"user": {
"$oid": "5c5ecaf6134fc342d4b1a9d5"
}
},
{
"_id": {
"$oid": "5d7750af52352918f802c474"
},
"user": {
"$oid": "5c64968cae53a8202c963223"
}
}
],
"pendingApprovalContacts": [],
"waitingForApprovalContacts": [],
"user": {
"$oid": "5d76008e4b98e63e58cb34cb"
}
},
{
"_id": {
"$oid": "5d7605f5e7179a084efa385b"
},
"date": {
"$date": "2019-09-09T07:32:20.174Z"
},
"approvedTrustedContacts": [
{
"_id": {
"$oid": "5d764e411b7476462cf6b541"
},
"user": {
"$oid": "5d76008e4b98e63e58cb34cb"
}
}
],
"pendingApprovalContacts": [],
"waitingForApprovalContacts": [],
"user": {
"$oid": "5c5ecaf6134fc342d4b1a9d5"
}
}
when I use method findOne
const user = await TrustedContacts.findOne({ user: "5d76008e4b98e63e58cb34cb" })
I have result
but when I use $match I got empty array
result1 = await TrustedContacts.aggregate([
{ $match: { user: "5d76008e4b98e63e58cb34cb" } },
]);
It Works,
const ObjectId = require('mongodb').ObjectId;
result1 = await TrustedContacts.aggregate([
{ $match: { user: ObjectId("5d76008e4b98e63e58cb34cb") } },
]);
I'm trying to obtain the objects inside the reviews array by matching the fb_id's that I'm passing. I do not seem to get them to work. This is my actual document in the DB
{
"_id": {
"$oid": "5841d18187dcc74805887a6a"
},
"product_id": "583ae172231f5ec01db5727e",
"category": "Smartphones",
"reviews": [
{
"fb_id": "111",
"name": "name1",
"user_img": "imgurl1",
"title": "asdakj",
"description": "jnkjnkj",
"rating": 5,
"_id": {
"$oid": "5841d18187dcc74805887a6b"
}
},
{
"fb_id": "222",
"name": "name2",
"user_img": "imgurl2",
"title": "dadad",
"description": "asdasdad",
"rating": 3,
"_id": {
"$oid": "5841d1d0cbdf333411530ebd"
}
},
{
"fb_id": "333",
"name": "name3",
"user_img": "img url3",
"title": "asdad",
"description": "asdads",
"rating": 5,
"_id": {
"$oid": "5841d4c2174270f807084721"
}
},
{
"fb_id": "444",
"name": "name4",
"user_img": "imgurl4",
"title": "adasd",
"description": "kjnkj",
"rating": 1,
"_id": {
"$oid": "5841d569eae1b6600ea1ca92"
}
}
],
"__v": 0
}
I will be sending an array of fb_id's to mongoose and want the results only for the objects inside the array that has the fb_id's.
This is my query now:
Review.find({ product_id: '583ae172231f5ec01db5727e' }, { 'reviews.$.fb_id': { $in: <array of fb_id> } }, function(err, results) {
if (err) {
throw err;
};
console.log(results)
});
But it gives me this error :
MongoError: Unsupported projection option: reviews.$.fb_id: { $in: [ 111.0 ] }
EDIT: After a small query, now I am to get some results. But the result has only the first object that match from the fb_id's and not all.
Please tell me how I can achieve this.
You can use this for reference.
your code would be something like this:
Review.find({
product_id: '583ae172231f5ec01db5727e'
},
{
reviews: {
$elemMatch: {
fb_id: {
$in: <array of fb_id>
}
}
}
},
{
_id: 0,
'reviews.$': 1
}
, function(err, results) {
if (err) {
throw err;
};
console.log(results)
});