Im writing a mongodb aggregate pipeline. My documents are of the form below : { name: "01" tags { tag_01: { a: "a01-val", b: "b01-val" }, tag_02: { a: "a02-val", b: "b02-val" } } }, { name: "02" tags {…
Is there a MongoDB aggregation query equivalent to the following SQL statement using a single MongoDB aggregation? (The two operands of the JOIN are two subqueries that also include join operations.) SELECT T1.C1, T2.C2 FROM (SELECT T3.C1 C1, T4.C2 C2…
https://mongoplayground.net/p/zIhLOT8YXLl document schema: { _id: ObjectId(); array_property: [ {_id: ObjectId(), img_array: ["string", "string"] }, { }, ... ] } query: await user.updateOne( { _id: user_id, array_property: { $elemMatch: { _id: { $in: arrary_of_id } } }, }, { $push: {…
I have the following record: id: 119, customfields: Array (2) 0: Object value: "Mr" type: "salutation" 1: Object value: "Google" type: "company" I need to update this document so that I get: id: 119, salutation: "Mr", company: "Google" Important is:…
I have a task involving the aggregation and processing of data stored in a MongoDB collection named flight_data. This collection holds a wealth of information about flights, encompassing details such as flight numbers, departure airports, arrival airports, fuel consumption, and…
compound index: { A: 1, B: 1, C: 1 } query: col.aggregate([ { $match: { B: "ssome_value", C: "some_other_value, } } ]) The query does not involve A, so the compound index is not used. I can do this to…
I have a large data set (hundreds of millions) with documents like then below running in Mongo 7.0. The documents are much larger but these are the fields related to this question. { "groupId": "12345", "actionPerformed": "someAction", "date": "2023-08-17T18:16:58.000Z" //…
I have mongo documents like below, want to perform aggregation to find the errorcodes count for each unique contacts. { "_id": { "$oid": "" }, "campId": "61baef7817cd8ff66518", //camp1 "contactId": "61aa6fbf77490b0007714273", // contact 1 "title": "Happy Holidays!", "communicationType": "EMAIL", "contactedOnTime": {…
compound index { A: 1, B: 1 } In this query, the compound index is not used: db.user.aggregate([ { $match: { B: { $gt: 100 } } }, { $sort: { A: 1 } }, { $limit: 1000 } ])…
I have a document structure like this: [ { "country": "UK", "shops": [ {"city": "London", "fruits": ["banana", "apple"]}, {"city": "Birmingham", "fruits": ["banana", "pineapple"]}, ], }, { "country": "DE", "shops": [ {"city": "Munich", "fruits": ["banana", "strawberry"]}, {"city": "Berlin", "fruits": ["kiwi", "pineapple"]},…