I have a collection in MongoDB database that has some data and would like to filter and find data based on from and until dates. Sample data { "_id": "64958e4cd25792d403c05e83", "dealId": "4981506000014538111", "note": "short description 1123", "dateTime": "09/24/2022 12:22 AM",…
I'm performing an aggregation in MongoDB Compass, and I want to exclude the values of "0" from the result. Currently, my aggregation returns the following date value: "1948-12-08 00:00:00.000". How can I modify my aggregation to exclude these "0" values…
Below is my document. I want to compare the objects in array SKUPromo and get only those objects which have overlapping dates. { "_id": "2531090", "SKUPromo": [ { "_id": "1", "startDateTime": { "$date": "2023-01-05T06:00:00.000Z" }, "endDateTime": { "$date": "2023-02-07T05:59:59.000Z" },…
The following statement regarding range filter and sorting and the way the predicates had to be placed is confusing. "MongoDB cannot do an index sort on the results of a range filter. Place the range filter after the sort predicate…
I have an application that uses MongoDB written in Python, and I'm working on migrating it to Azure Cosmos. I've already created an account and prepared a client that I'm reading with cosmos_client = CosmosClient(url, key) With this I can…
I am trying to update a document but it doesn't update and it doesn't throw any errors. type Course struct { ObjectId primitive.ObjectID `bson:"_id, omitempty"` Id string `json:"id"` Title string `json:"title"` Description string `json:"description"` Lessons string `json:"lessons"` Duration string `json:"duration"`…
Is there a risk of unintended modification to original documents when using the "Aggregations" tab in MongoDB Compass? I want to ensure that my data remains unchanged and intact throughout the aggregation process. MongoDB Compass for Mac, version 1.38.0
I need to get data from my MongoDB using Nodejs API . I trying this const attendanceRecords = await Attendence.find({ user: _id, currentDate: { $gte: fromDate, $lte: toDate }, }).populate("user", "firstname lastname email"); But its not giving me correct data…
I have a Pandas DataFrame with this column: This is an extraction from a database in Mongo but I don't know how to handle a column containing both [] and {}: How can split this column into two columns? Desired…
I have some data like this: [ { "id": "dc4b9a2f-12b3-42f8-b0b3-dd1bff19fccc", "name": "name 1", "fields": [ {"id": 2},{"id": 1}, {"id": 3} ], "order": [1,3,2] }, { "id": "dc4b9a2f-12b3-42f8-b0b3-dd1bff19fccd", "name": "name 2", "fields": [ {"id": 1},{"id": 2}, {"id": 3} ], "order": [1,4,2]…