I need to perform the upsert operation. Below is my document structure.
I want to update the spin_details array when there is a match found with package_id but with two conditions i.e. user_id & spin_details.package_id.
If there is a match with user_id but there is no match with spin_details.package_id then some package information has to be pushed into the spin_details array. If there is no match with user_id(only) itself then it should be able to insert a new document.
{
"_id" : ObjectId("6234ffa6bd36b0e5a05ac913"),
"user_id" : ObjectId("6230e5e2b1530b407cedeb1d"),
"__v" : 0,
"is_active" : true,
"spin_details" : [
{
"package_id" : ObjectId("6230e5e2b1530b407cedeb9d"),
"spin_count" : 10,
"_id" : ObjectId("6234ffa6f390e1fafa8e215b")
},
{
"package_id" : ObjectId("6230e5e2b1530b407cedeb2a"),
"spin_count" : 25,
"_id" : ObjectId("6234ffa6f390e1fafa8e409b")
}
]
}
I can do this using multiple different queries and then based on the result value. How can I do this with a single mongoose query for this situation?
Related
I am having a collection like this whose users ids are stored inside the array,I need to query the collection A to get collection B whose "_id" (only "_id") is stored in array type , how to get in mongodb using aggregate ?
collection A :
{
"_id" : ObjectId("5ccfc2d176013e48a4ec0eed"),
"position" : ObjectId("5c73bcd0697b545c329a4bd4"),
"users" : [
"5bbf3cc7381e7a6530872089"
],
"inCase" : [],
"completed" : false,
}
am having second collection as
Collection B
{
"_id" : ObjectId("5b517a2bebb3b14b4cd78ca9"),
"firstName" : "Katie",
"lastName" : "Carter",
"languages" : [
"English",
"",
""
],
}
My code
{$lookup:{from:'user',localField:'users',foreignField:'_id',as:'users'}},
{$unwind:'$users'},
let me know how to resolve it?
Hi i am mentioning the sample data
///collection - test////
{
"_id" : {
"date" : ISODate("2020-02-11T17:00:00Z"),
"userId" : ObjectId("5e43e5cdc11f750864f46820"),
"adminId" : ObjectId("5e43de778b57693cd46859eb")
},
"outstanding" : 212.39999999999998,
"totalBill" : 342.4,
"totalPayment" : 130
}
{
"_id" : {
"date" : ISODate("2020-02-11T17:00:00Z"),
"userId" : ObjectId("5e43e73169fe1e3fc07eb7c5"),
"adminId" : ObjectId("5e43de778b57693cd46859eb")
},
"outstanding" : 797.8399999999999,
"totalBill" : 797.8399999999999,
"totalPayment" : 0
}
I need to structure a query which does following things-
I need to calculate the actualOutstanding:[(totalBill+outstanding)-totalPayment],
I need to save this actualOutstanding in the same collection & in the same document according to {"_id" : {"date","userId", "adminId" }}
NOTE: userId is different in both the documents.
Introduced in Mongo version 4.2+ pipelined updates, meaning we can now use aggregate expressions to update documents.
db.collection.updateOne(
{
"adminId" : ObjectId("5e43de778b57693cd46859eb")
'_id."userId" : ObjectId("5e43e73169fe1e3fc07eb7c5"),
'_id.date': ISODate("2020-02-11T18:30:00Z"),
},
[
{ '$set': {
actualOutstanding: {
$subtract:[ {$add: ['$totalBill','$outstanding']},'$totalPayment']
}
} }
]);
For any other Mongo version you have to split it into 2 actions, first query and calculate then update the document with the calculation.
I need to check the amount of occurrence for a specific product id in a high complexity array of objects structure.
I tried with the aggregation functionality of MongoDB, but I only got the occurrences per document rather than the occurrences cross all the documents. The data structure of each document looks like this:
{
"_id" : ObjectId("5c4d67905a07f5dec1fcc763"),
"updatedAt" : ISODate("2019-01-27T08:16:11.706Z"),
"createdAt" : ISODate("2019-01-27T08:10:56.553Z"),
"pickupTime" : ISODate("2019-01-27T08:20:00.000Z"),
"shop" : ObjectId("5c24b007b55ea3d7c599c95b"),
"owner" : ObjectId("5c242e361ee775cdd8b047b6"),
"total" : 350,
"status" : "completed",
"lineItems" : [
{
"product" : {
"options" : [],
"enabled" : false,
"description" : "",
"shop" : ObjectId("5c24b007b55ea3d7c599c95b"),
"price" : 350,
"name" : "Capuccino",
"createdAt" : ISODate("2019-01-01T21:56:31.928Z"),
"updatedAt" : ISODate("2019-01-08T12:14:53.322Z"),
"_id" : ObjectId("5c2be20f8e52115849726fdc")
},
"_id" : ObjectId("5c48efbc9efde32fab7ae47d"),
"status" : "pending",
"quantity" : 1,
"config" : []
}
],
"__v" : 0
}
As you can see each document is a order, each order has lineItems that is a array of objects that contain the quantity of the desired product, the status of the current product, some configuration and the product itself. The product field is a snapshot of the product in the moment of the order as they may be changed by the supplier (cost, name description, etc.)
I currently tried the next aggregate formula:
{
$group: {
_id: {
'product': '$lineItems.product._id'
},
count: {
$sum: 1
}
}
}
But only returns the the occurrences of a product in each order, rather than cross all the orders. I understood I need to use $reduce to reformat the data structure, but I couldn't find a way how to organice my current data structure in order to make it match. Also I got said that after counting per product I can use the $sort to put the highest values on the top and then limit the search to the amount of records to return
The desirable result is get the top 5 most sold products based on the orders data.
Thanks.
I have to delete the second comment using index value.. Following is my document structure
{
"_id" : ObjectId("000000000fea5f24282e715b"),
"file_name" : "resume_of_ganga_.docx",
"created_date" : ISODate("2017-11-28T10:29:10.373Z"),
"updated_date" : ISODate("2017-11-28T12:39:32.148Z"),
"comments" : [
{
"created_date" : ISODate("2017-11-28T13:23:51.472Z"),
"status" : "N",
"comment_text" : "Yes...",
"username" : "name"
},
{
"created_date" : ISODate("2017-11-28T13:24:15.938Z"),
"status" : "N",
"comment_text" : "asdsd",
"username" : "name"
}
]
}
I have using this following mongoose query..But my comments are not get deleting
mongo.filemanager.findOneAndUpdate({ "_id": req.body.id},{$pull : {"'comments.' +req.body.c_index" : 1 }},function(err,response){
console.log("Deleted")
});
For example am getting index value as 2.. It should delete the second comment...
Thanks in Advance
I tried looking up to see if MongoDB has any such functionality but seems like they don't from what I found.
A workaround could be something like this. Not sure if this can be considered an atomic operation.
const removeCommentAtIndex = (index) => {
mongo.filemanager.findById(req.body.id, (err, file) => {
file.comments.splice(index, 1);
file.save();
})
}
I executed the accepted answer for In mongoDb, how do you remove an array element by its index in my test database and IT WORKS
mongo.filemanager.findOneAndUpdate({}, {"$unset" : {"comments.1" : 1 }})
mongo.filemanager.findOneAndUpdate({}, {"$pull" : {"comments" : null}})
Note that your req.body.c_index needs to be 1 to remove 2nd comment.
I had this data on my MongoDB database and I would like to get only the second array about blades.
{
"_id" : ObjectId("..."),
"name" : "Westereems",
"country" : "Netherlands",
"turbines" : [
{
"turbine_id" : ObjectId("..."),
"blades" : [
{
"blade_id" : ObjectId("..."),
"position" : 2,
"size" : 50,
}
]
}
]
}
I only want one return with blade_id, position and size. I tried this query and I didn't have the expectable result:
db.collection("windfarms").find({"turbines.blades.blade_id" : ObjectId("...")}, {"turbines.blades.$" : 1, "_id" : 0})
Regards,
You can use this query, it's not an optimal query for large array's items but if you have only above items then you can use it.
you can also go with aggregation to make it more optimal.
db.collection("windfarms").find({"turbines.blades.blade_id" : ObjectId("...")}, {"turbines.blades.blade_id":1,"turbines.blades.position":1,"turbines.blades.size":1,"_id":0})