I have a user collection, and each user has a list of products. I need to update a product using it's ID or add the product if it doesn't exist.
How can I update the product by it's id?
User Collection:
{
"_id": {
"$oid": "5fc06554266266edf5643231"
},
"products": [
{
"id": 123,
"name": "test product"
}
]
}
Using the following code I'm able to add the product, but can't update the product by it's ID.
db.users.updateOne({_id: ObjectId('5fc06554266266edf5643231')}, {
'$addToSet': {
'products': {
'id': 123,
'name': 'foobar'
}
}
}, {upsert:true})
Well, i will recommend to you to re-think your schema.
Maybe you need to create a collection called Products and in the user collection put all the id's of the products on a field called product. Then you can create a query with a populate function. Something like this
const user = await User.find(query, options)
.then(async (result) => result)
.catch((err) => logger.info(err));
const populateProducts = await Products.populate(user, populateProductsOptions)
.then(async (data) => data)
.catch((err) => logger.info(err));
But if you don't want to modify your schema you have to do several querys. There is no way to do this in single query. You have to search the document first:
If document exist:
db.users.updateOne( {_id: 123456 , yourQueryProduct ,
false ,
true);
db.users.updateOne( {_id: 123456: 123456 } ,
{$pull: {"items" : {'item_name' : "my_item_two" , 'price' : 1 }} } ,
false ,
true);
db.users.updateOne( {_id: 123456: 123456 } ,
{$addToSet : {"items" : {'item_name' : "my_item_two" , 'price' : 1 }} } ,
false ,
true);
else if document don't exist you can addToSet directly
The issue is that on this line: db.users.updateOne({_id: "5fc06554266266edf5643231"}
The _id field is being interpreted as a String, but the document you want to update saves its _id as an ObjectId. All you have to do it make it an ObjectId is this:
db.users.updateOne({_id: ObjectId("5fc06554266266edf5643231")}, {
'$addToSet': {
'products': {
'id': 123,
'name': 'foobar'
}
}
}, {upsert:true})
Related
I have an array like this on DB.
[{
_id: 61c9b7ac365cae3e9e406d8d,
user: 61c879d080d04078d7342b34,
cart:
[
_id:"61c85d2c7ab0861b703da7d3"
title:"some title"
price:100
description:"some des",
user: {_id:"61c7f81469176d17a540712e" }
]
}]
I used:
const { sellerId } = req.params;
const order = await Orders.find({ "user": { "$in": sellerId } })
.sort("-created") // or .sort({ field: 'asc', created: -1 });
I want all the data of cart items user field _id..
I have an array like this on DB.
Do you mean u have a mongoDB collection named Orders with the above data?
I want all the data of cart items user field _id..
Find will return the cursor to the matching records. Try
await Orders.find({ "user": { "$in": sellerId } })
.sort("-created").forEach(function(err, order) {
console.log(order.cart)
});
Is there a way to update values in an object?
{
_id: 1,
name: 'John Smith',
items: [{
id: 1,
name: 'item 1',
value: 'one'
},{
id: 2,
name: 'item 2',
value: 'two'
}]
}
Lets say I want to update the name and value items for item where id = 2;
I have tried the following w/ mongoose:
var update = {name: 'updated item2', value: 'two updated'};
Person.update({'items.id': 2}, {'$set': {'items.$': update}}, function(err) { ...
Problem with this approach is that it updates/sets the entire object, therefore in this case I lose the id field.
Is there a better way in mongoose to set certain values in an array but leave other values alone?
I have also queried for just the Person:
Person.find({...}, function(err, person) {
person.items ..... // I might be able to search through all the items here and find item with id 2 then update the values I want and call person.save().
});
You're close; you should use dot notation in your use of the $ update operator to do that:
Person.update({'items.id': 2}, {'$set': {
'items.$.name': 'updated item2',
'items.$.value': 'two updated'
}}, function(err) { ...
model.update(
{ _id: 1, "items.id": "2" },
{
$set: {
"items.$.name": "yourValue",
"items.$.value": "yourvalue",
}
}
)
MongoDB Document
There is a mongoose way for doing it.
const itemId = 2;
const query = {
item._id: itemId
};
Person.findOne(query).then(doc => {
item = doc.items.id(itemId );
item["name"] = "new name";
item["value"] = "new value";
doc.save();
//sent respnse to client
}).catch(err => {
console.log('Oh! Dark')
});
There is one thing to remember, when you are searching the object in array on the basis of more than one condition then use $elemMatch
Person.update(
{
_id: 5,
grades: { $elemMatch: { grade: { $lte: 90 }, mean: { $gt: 80 } } }
},
{ $set: { "grades.$.std" : 6 } }
)
here is the docs
For each document, the update operator $set can set multiple values, so rather than replacing the entire object in the items array, you can set the name and value fields of the object individually.
{'$set': {'items.$.name': update.name , 'items.$.value': update.value}}
Below is an example of how to update the value in the array of objects more dynamically.
Person.findOneAndUpdate({_id: id},
{
"$set": {[`items.$[outer].${propertyName}`]: value}
},
{
"arrayFilters": [{ "outer.id": itemId }]
},
function(err, response) {
...
})
Note that by doing it that way, you would be able to update even deeper levels of the nested array by adding additional arrayFilters and positional operator like so:
"$set": {[`items.$[outer].innerItems.$[inner].${propertyName}`]: value}
"arrayFilters":[{ "outer.id": itemId },{ "inner.id": innerItemId }]
More usage can be found in the official docs.
cleaner solution using findOneAndUpdate
await Person.findOneAndUpdate(
{ _id: id, 'items.id': 2 },
{
$set: {
'items.$.name': 'updated item2',
'items.$.value': 'two updated',
}
},
);
In Mongoose, we can update array value using $set inside dot(.) notation to specific value in following way
db.collection.update({"_id": args._id, "viewData._id": widgetId}, {$set: {"viewData.$.widgetData": widgetDoc.widgetData}})
Having tried other solutions which worked fine, but the pitfall of their answers is that only fields already existing would update adding upsert to it would do nothing, so I came up with this.
Person.update({'items.id': 2}, {$set: {
'items': { "item1", "item2", "item3", "item4" } }, {upsert:
true })
I had similar issues. Here is the cleanest way to do it.
const personQuery = {
_id: 1
}
const itemID = 2;
Person.findOne(personQuery).then(item => {
const audioIndex = item.items.map(item => item.id).indexOf(itemID);
item.items[audioIndex].name = 'Name value';
item.save();
});
Found this solution using dot-object and it helped me.
import dot from "dot-object";
const user = await User.findByIdAndUpdate(id, { ...dot.dot(req.body) });
I needed to update an array element with dynamic key-value pairs.
By mapping the update object to new keys containing the $ update operator, I am no longer bound to know the updated keys of the array element and instead assemble a new update object on the fly.
update = {
name: "Andy",
newKey: "new value"
}
new_update = Object.fromEntries(
Object.entries(update).map(
([k, v], i) => ["my_array.$." + k, v]
)
)
console.log({
"$set": new_update
})
In mongoose we can update, like simple array
user.updateInfoByIndex(0,"test")
User.methods.updateInfoByIndex = function(index, info) ={
this.arrayField[index]=info
this.save()
}
update(
{_id: 1, 'items.id': 2},
{'$set': {'items.$[]': update}},
{new: true})
Here is the doc about $[]: https://docs.mongodb.com/manual/reference/operator/update/positional-all/#up.S[]
I have a document which looks like this
{'name':'abc',
'location': 'xyz',
'social_links' : { 'facebook' : 'links',
'stackoverflow': 'links',
'quora' : 'links' ... }
}
I want to count the total number of links for each social_links in my collection
Currently my code looks like this
db.main_candidate.aggregate( [ { '$match': {'social_links.quora': {'$exists': true}}}, {'$group': { '_id' :'quora', 'count': {'$sum':1 }}}])
While this is correctly returning the counts for the specific social_link, I want to write a query which will be able to count for all the social_links in a single query instead of having to write for each specific name.
I think there is no way to group what you want with a query without hardcoding the specific names. Maybe you should try with MapReduce.
You should store social_links as an array instead as a document, which makes more sense to me. Something like:
{'name':'abc',
'location': 'xyz',
'social_links' : [ { 'name':'facebook', 'link' : 'links'},
{ 'name':'quora', 'link' : 'links'},
{ 'name':'stackoverflow', 'link' : 'links'}]
}
Then you could do the following query:
db.col.aggregate(
{
$unwind: "$social_links"
},
{
$group:
{
_id: "$social_links.name",
count: $sum: 1
}
})
Is there a way to conditionally $addToSet based on a specific key field in a subdocument on an array?
Here's an example of what I mean - given the collection produced by the following sample bootstrap;
cls
db.so.remove();
db.so.insert({
"Name": "fruitBowl",
"pfms" : [
{
"n" : "apples"
}
]
});
n defines a unique document key. I only want one entry with the same n value in the array at any one time. So I want to be able to update the pfms array using n so that I end up with just this;
{
"Name": "fruitBowl",
"pfms" : [
{
"n" : "apples",
"mState": 1111234
}
]
}
Here's where I am at the moment;
db.so.update({
"Name": "fruitBowl",
},{
// not allowed to do this of course
// "$pull": {
// "pfms": { n: "apples" },
// },
"$addToSet": {
"pfms": {
"$each": [
{
"n": "apples",
"mState": 1111234
}
]
}
}
}
)
Unfortunately, this adds another array element;
db.so.find().toArray();
[
{
"Name" : "fruitBowl",
"_id" : ObjectId("53ecfef5baca2b1079b0f97c"),
"pfms" : [
{
"n" : "apples"
},
{
"n" : "apples",
"mState" : 1111234
}
]
}
]
I need to effectively upsert the apples document matching on n as the unique identifier and just set mState whether or not an entry already exists. It's a shame I can't do a $pull and $addToSet in the same document (I tried).
What I really need here is dictionary semantics, but that's not an option right now, nor is breaking out the document - can anyone come up with another way?
FWIW - the existing format is a result of language/driver serialization, I didn't choose it exactly.
further
I've gotten a little further in the case where I know the array element already exists I can do this;
db.so.update({
"Name": "fruitBowl",
"pfms.n": "apples",
},{
$set: {
"pfms.$.mState": 1111234,
},
}
)
But of course that only works;
for a single array element
as long as I know it exists
The first limitation isn't a disaster, but if I can't effectively upsert or combine $addToSet with the previous $set (which of course I can't) then it the only workarounds I can think of for now mean two DB round-trips.
The $addToSet operator of course requires that the "whole" document being "added to the set" is in fact unique, so you cannot change "part" of the document or otherwise consider it to be a "partial match".
You stumbled on to your best approach using $pull to remove any element with the "key" field that would result in "duplicates", but of course you cannot modify the same path in different update operators like that.
So the closest thing you will get is issuing separate operations but also doing that with the "Bulk Operations API" which is introduced with MongoDB 2.6. This allows both to be sent to the server at the same time for the closest thing to a "contiguous" operations list you will get:
var bulk = db.so.initializeOrderedBulkOp();
bulk.find({ "Name": "fruitBowl", "pfms.n": "apples": }).updateOne({
"$pull": { "pfms": { "n": "apples" } }
});
bulk.find({ "Name": "fruitBowl" }).updateOne({
"$push": { "pfms": { "n": "apples", "state": 1111234 } }
})
bulk.execute();
That pretty much is your best approach if it is not possible or practical to move the elements to another collection and rely on "upserts" and $set in order to have the same functionality but on a collection rather than array.
I have faced the exact same scenario. I was inserting and removing likes from a post.
What I did is, using mongoose findOneAndUpdate function (which is similar to update or findAndModify function in mongodb).
The key concept is
Insert when the field is not present
Delete when the field is present
The insert is
findOneAndUpdate({ _id: theId, 'likes.userId': { $ne: theUserId }},
{ $push: { likes: { userId: theUserId, createdAt: new Date() }}},
{ 'new': true }, function(err, post) { // do the needful });
The delete is
findOneAndUpdate({ _id: theId, 'likes.userId': theUserId},
{ $pull: { likes: { userId: theUserId }}},
{ 'new': true }, function(err, post) { // do the needful });
This makes the whole operation atomic and there are no duplicates with respect to the userId field.
I hope this helpes. If you have any query, feel free to ask.
As far as I know MongoDB now (from v 4.2) allows to use aggregation pipelines for updates.
More or less elegant way to make it work (according to the question) looks like the following:
db.runCommand({
update: "your-collection-name",
updates: [
{
q: {},
u: {
$set: {
"pfms.$[elem]": {
"n":"apples",
"mState": NumberInt(1111234)
}
}
},
arrayFilters: [
{
"elem.n": {
$eq: "apples"
}
}
],
multi: true
}
]
})
In my scenario, The data need to be init when not existed, and update the field If existed, and the data will not be deleted. If the datas have these states, you might want to try the following method.
// Mongoose, but mostly same as mongodb
// Update the tag to user, If there existed one.
const user = await UserModel.findOneAndUpdate(
{
user: userId,
'tags.name': tag_name,
},
{
$set: {
'tags.$.description': tag_description,
},
}
)
.lean()
.exec();
// Add a default tag to user
if (user == null) {
await UserModel.findOneAndUpdate(
{
user: userId,
},
{
$push: {
tags: new Tag({
name: tag_name,
description: tag_description,
}),
},
}
);
}
This is the most clean and fast method in the scenario.
As a business analyst , I had the same problem and hopefully I have a solution to this after hours of investigation.
// The customer document:
{
"id" : "1212",
"customerCodes" : [
{
"code" : "I"
},
{
"code" : "YK"
}
]
}
// The problem : I want to insert dateField "01.01.2016" to customer documents where customerCodes subdocument has a document with code "YK" but does not have dateField. The final document must be as follows :
{
"id" : "1212",
"customerCodes" : [
{
"code" : "I"
},
{
"code" : "YK" ,
"dateField" : "01.01.2016"
}
]
}
// The solution : the solution code is in three steps :
// PART 1 - Find the customers with customerCodes "YK" but without dateField
// PART 2 - Find the index of the subdocument with "YK" in customerCodes list.
// PART 3 - Insert the value into the document
// Here is the code
// PART 1
var myCursor = db.customers.find({ customerCodes:{$elemMatch:{code:"YK", dateField:{ $exists:false} }}});
// PART 2
myCursor.forEach(function(customer){
if(customer.customerCodes != null )
{
var size = customer.customerCodes.length;
if( size > 0 )
{
var iFoundTheIndexOfSubDocument= -1;
var index = 0;
customer.customerCodes.forEach( function(clazz)
{
if( clazz.code == "YK" && clazz.changeDate == null )
{
iFoundTheIndexOfSubDocument = index;
}
index++;
})
// PART 3
// What happens here is : If i found the indice of the
// "YK" subdocument, I create "updates" document which
// corresponds to the new data to be inserted`
//
if( iFoundTheIndexOfSubDocument != -1 )
{
var toSet = "customerCodes."+ iFoundTheIndexOfSubDocument +".dateField";
var updates = {};
updates[toSet] = "01.01.2016";
db.customers.update({ "id" : customer.id } , { $set: updates });
// This statement is actually interpreted like this :
// db.customers.update({ "id" : "1212" } ,{ $set: customerCodes.0.dateField : "01.01.2016" });
}
}
}
});
Have a nice day !
Looking to do the following query:
Entrant
.find
enterDate : oneMonthAgo
confirmed : true
.where('pincode.length > 0')
.exec (err,entrants)->
Am I doing the where clause properly? I want to select documents where pincode is not null.
You should be able to do this like (as you're using the query api):
Entrant.where("pincode").ne(null)
... which will result in a mongo query resembling:
entrants.find({ pincode: { $ne: null } })
A few links that might help:
The mongoose query api
The docs for mongo query operators
$ne
selects the documents where the value of the field is not equal to
the specified value. This includes documents that do not contain the
field.
User.find({ "username": { "$ne": 'admin' } })
$nin
$nin selects the documents where:
the field value is not in the specified array or the field does not exist.
User.find({ "groups": { "$nin": ['admin', 'user'] } })
I ended up here and my issue was that I was querying for
{$not: {email: /#domain.com/}}
instead of
{email: {$not: /#domain.com/}}
Ok guys I found a possible solution to this problem. I realized that joins do not exists in Mongo, that's why first you need to query the user's ids with the role you like, and after that do another query to the profiles document, something like this:
const exclude: string = '-_id -created_at -gallery -wallet -MaxRequestersPerBooking -active -__v';
// Get the _ids of users with the role equal to role.
await User.find({role: role}, {_id: 1, role: 1, name: 1}, function(err, docs) {
// Map the docs into an array of just the _ids
var ids = docs.map(function(doc) { return doc._id; });
// Get the profiles whose users are in that set.
Profile.find({user: {$in: ids}}, function(err, profiles) {
// docs contains your answer
res.json({
code: 200,
profiles: profiles,
page: page
})
})
.select(exclude)
.populate({
path: 'user',
select: '-password -verified -_id -__v'
// group: { role: "$role"}
})
});
total count the documents where the value of the field is not equal to the specified value.
async function getRegisterUser() {
return Login.count({"role": { $ne: 'Super Admin' }}, (err, totResUser) => {
if (err) {
return err;
}
return totResUser;
})
}
Hello guys I am stucked with this. I've a Document Profile who has a reference to User,and I've tried to list the profiles where user ref is not null (because I already filtered by rol during the population), but
after googleing a few hours I cannot figure out how to get this. I
have this query:
const profiles = await Profile.find({ user: {$exists: true, $ne: null }})
.select("-gallery")
.sort( {_id: -1} )
.skip( skip )
.limit(10)
.select(exclude)
.populate({
path: 'user',
match: { role: {$eq: customer}},
select: '-password -verified -_id -__v'
})
.exec();
And I get this result, how can I remove from the results the user:null colletions? . I meant, I dont want to get the profile when user is null (the role does not match).
{
"code": 200,
"profiles": [
{
"description": null,
"province": "West Midlands",
"country": "UK",
"postal_code": "83000",
"user": null
},
{
"description": null,
"province": "Madrid",
"country": "Spain",
"postal_code": "43000",
"user": {
"role": "customer",
"name": "pedrita",
"email": "myemail#gmail.com",
"created_at": "2020-06-05T11:05:36.450Z"
}
}
],
"page": 1
}
Thanks in advance.