I want to limit text scores using the $gt operator. Using the find function, I can sort the text scores according to the text similarity status from largest to smallest. I can get the cursor with the highest score by putting a limit of 1 on the rank. But I don’t want the ones whose text score is below the
Tag: mongodb
How to get common elements in array using project in pymongo aggregate
The following code gets the count of type for each user separately. Following is the output. I want the following output, wherein pymongo aggregation project section code tweaks the output to show the ouput listed based on one primary key element which is the assignee in this case. Answer One option is to add 3 more steps: $group by the
How can I limit output of MongoDB query in Python?
I have this example MongoDB entry in a users DB: And I’m using Pymongo to query the file named “test”: users.find_one({‘files.filename’:”test”}) How can I limit the output from Pymongo, so it only gives me the dict where “test” is contained? In other words, I want it to output this: Answer Here’s one way you could do it. Try it on
What can I do to output in MongoDB with $inc from always being decimal with 2 point accuracy? (rounding output)
So I’m using MongoDB 6.0 (and motor driver in python) and for example I have a code like that: and assuming the current value of “balance” field in db is 5.91 the final value will be 0.9900000000000002, when I want it to be 0.99 What can I do, so mongodb will be automatically “rounding” this output to 2 point accuracy?
Inserting a request.form.items() list into a mongodb collection / Adding list of lists into mongoDB
I have the following code: I use for x in request.form.items() to loop through a dynamically generated form. Users create custom fields that can be added. I then add the results to a list of which an example of a print out is: [(‘name’, ‘David’), (‘phone’, ’90’), (’email’, ‘inf’), (‘company’, ‘Ran’), (‘Kids Names’, ‘Kids Names’), (‘Kids Birthday’, ‘2022-08-03’), (“Wife’s Email”,
Aggregation $match within a $sum
I was wondering if it was possible to somehow use the $match operator within the $sum function for aggregation. I want to be able to use the value of the $sum operator within the project fields somehow, I just don’t really understand what the right approach would be for this. Sample Input (may be too long): https://www.toptal.com/developers/hastebin/ixamekaxoq.json Sample Output: (
User-created Record Fields
I am creating a web-app w/ Flask + Flask-WTF that has CRM-like features as a project. My current database (MongoDB) structure is I have: Users who can login, People who are assigned to users, and Records who are assigned to people. People have various fields to be filled out (Name, Phone Number, Email, etc). I want Users to be able
Does mongo db ListField maintain ordering?
If I add items to a ListField on a mongo db document in a specific order and then write it to the database, is it guaranteed that all subsequent reads will see the list in the same order? e.g. write read this is using python mongoengine ORM v0.4.2 Answer Yes they do, the driver is faithful to the underlying data
How to construct pymongo query string from dictionary
My MongoDB documents looks like {‘k1’: ‘v1’, ‘k2’: ‘v2’, ‘k3’: ‘v3’ . . .} Would like to construct a pymongo query string where Keys and Values in maDict are Match, gtDict are greater than and ltDict are less than and display only the fields specified in diDict: I could think of converting each dictionary to construct the query string. Is
Convert SQL Query to MongoDB syntax
I have a big problem with converting SQL queries to Mongo DB for Python. I have a question if you know better methods for transferring SQL queries to Mongo DB queries? I have two queries but I still have big problems with the syntax conversion to Mongo DB. Maybe there is someone here who can help me? Table I have