I was looking for a way to convert a positive integer into a binary array inside a mongoDB aggregation pipeline. There is $bit operation which can't be used inside an aggregation pipeline. This question is regarding mongoDB version 6.0 and…
I needed to run a quick and (I thought) trivial query to update some incorrect data. I'm trying to update the very first entry of an array in a document. Note: My posted queries run against db instead of a…
`I am trying to write an aggregator query for the complex DB document below, ideally i am looking for creating multiple streams from the given activities set, identifying the parent child hierarchy and recursively processing the input document. Title: Aggregator…
I have a data like: [ { "grp": "A", "seq": 1, "score": 1, x: 0 }, { "grp": "A", "seq": 1, "score": 2, x: 0 }, { "grp": "A", "seq": 1, "score": 3, x: 0 }, { "grp": "A", "seq":…
I'm using MongoDB and I have a document where I want to increment a count field. However, I need to ensure that this count does not go below zero. For example, if inc is -2 and the current count is…
Let's suppose a collection has N documents and each document has an array field with M subdocuments. For a query that uses a $elemMatch on the field with the M subdocuments to filter and findMany documents of this collection, would…
I want to use a pipeline to update a document by filtering on the keys of sub-documents in an object. eg data: { things: { a1: {}, ... x1: {} } } Where "things" can contain variable keys/properties. I know…
I have a document which has a field as Array of References and it is refering to the same document. I want to populate all the nested fields. The Data will be Acyclic (person -> children -> children ≠ person).…
I've been having trouble trying to query for a deeply nested subdocument while using Mongoose. My DB structure is like this: { "_id": "662aa6ccae109745e30dc664", "username": "username", "email": "[email protected]", "lists": [ { "_id": "662aa6dbae109745e30dc66a" "name": "list", "content": [ { "_id": "662aa6eeae109745e30dc670"…
for example while performing aggregation the last(previous) stage gave me this documents { _id : ObjectId('662a416201ca2363543b6644'), name : 'location-1', startsFrom : 2, endsOn : 5, } { _id : ObjectId('662a416201ca2363543b6644'), name : 'location-1', startsFrom : 1, endsOn : 3, }…