Problem: I need to only update one document in the spots available array that has an id of "empty". My previous query was updating all matching sub documents with "empty" as the id; which is no good Example Below. So…
In MongoDB, I have a collection of different movies with their years. Consider these documents: { "_id" : ObjectId("63a994974ac549c5ea982d2b"), "title" : "Destroyer", "year" : 1907 }, { "_id" : ObjectId("63a994974ac549c5ea982d2a"), "title" : "Aquaman", "year" : 1902 }, { "_id" :…
A collection called bookstore is as below (sample 2 documents): [{ "bookname": "hi", "orders" : [ {"rate" : 1}, {"rate" : 2} ] }, { "bookname":"hello", "orders" : [ {"rate" : 3}, {"rate" : 2}, {"rate" : 5} ] }]…
[ {_id: 1, query: 'A', createdAt: 1660610671 }, {_id: 2, query: 'A', createdAt: 1660610672 }, {_id: 3, query: 'A', createdAt: 1660610673 }, {_id: 4, query: 'A', createdAt: 1660610674 }, {_id: 5, query: 'B', createdAt: 1660610675 }, {_id: 6, query: 'C',…
Initially I was trying to match by fields.locations.id, however this wasn't returning any results surprisingly. Browsing SO I've seen that prior matching an $unwind has to be done so it works (don't really know if this is still the rule…
Does it make any sense at all, since the each value of the prefix will have only one value of any suffix, there is no further sorting that can be done after the prefix?
I have used the $group pipeline and inside it, I have used $addToSet which has created an array of objects which contains two values - {subGenre (string), flag (bool)}. In the next pipeline of $project, I need to run a…
I am working on mongodb to build a simple survey app, the hardest part is to get the statistic using mongodb 's aggregation framework. Here is one submit answers of the survey. The answers property is a array carrying the…
It seems that the more compound index I add to my collection it gets better to some point and then beyond that the more indexes the slower it becomes. Is this possible? If so why? EDITED: I am referring to…
Let books collection be, db.books.insertMany([ { "name": "foo", "category": 0, publishedAt: ISODate("2008-09-14T00:00:00Z") }, { "name": "bar", "category": 1, publishedAt: ISODate("1945-08-17T00:00:00Z") }, { "name": "baz", "category": 1, publishedAt: ISODate("2002-03-01T00:00:00Z") }, { "name": "qux", "category": 2, publishedAt: ISODate("2002-01-21T00:00:00Z") }, { "name": "quux",…