Web15 jun. 2024 · 1 Without $count, the database needs to return up to batch size of results, thus it doesn't have to calculate the full result set. With $count the database must calculate the full result set even though the output is smaller (one number instead of many documents). – D. SM Jun 15, 2024 at 17:08 Your saying is beyond for me. So what is the … Web11 apr. 2024 · For example, if you want to count the number of words in a text file, you can map each word to a key-value pair of (word, 1) and then reduce by summing up the values for each word.
mongodb - Mongo aggregate query extremely slow - Stack …
Web28 jan. 2015 · Sorted by: 1. PyMongo does no actual work on the server when you execute these lines: query = {"type": "prime"} docs = usaspending.get_records_from_db (query) docs.sort ("timestamp", pymongo.ASCENDING) At this point "docs" is just a PyMongo Cursor, but it has not executed the query on the server. Web4 okt. 2011 · When I use 'count ()' function with a small number of queried data collection, it's very fast. However, when the queried data collection contains thousand or even … fonds rothschild
Mongodb updating goes very slow on large collection
Web4 mrt. 2024 · Where start and end dates are input from the user on the frontend page. For small result matches, this executes very fast but if the query matches 80~100% of the … Web15 jun. 2024 · Mongodb aggregate $lookup and group is very very slow. I am using aggregate on mongodb. This aggregate gets the number of documents that are … Web1 jun. 2016 · Instead you need to use MongoDB extension method - SingleAsync from MongoDB.Driver.Linq. public async Task GetById (string id) { return await Collection.SingleAsync (x => x.Id == new ObjectId (id)); } While this is a move in the right direction I am still not getting what Im hoping for. eightyfive llc