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Mongodb count very slow

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 https://norcalz.net

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

python - Slow MongoDB/pymongo query - Stack Overflow

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Mongodb count very slow

MongoDB count query very slow - Stack Overflow

Web5 nov. 2024 · The hole operation takes up to 7 days. And in the begging of the process it was running fast, but as the time past the process begun very slow. Now the process updates 2-3 documents per second. The machine is a server with 256Gb of ram, in order to achieve fast readings, and has a ssd of 2Tb. Web17 mrt. 2024 · The collection has 760K documents, so I don’t understand keysExamined": 5677198. The count takes 32 sec, while a find query on the same fields takes under a …

Mongodb count very slow

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WebIf we quickly check google trends Python is always on the rise and the reason for this is that a lot of new projects choose it for it’s simplicity. If you combine new projects and the ease of use that makes the cost to enter development easy it makes a lot of sense that Python is very popular despite being slow. Is GUI Programming Hard In Python. Web11 mrt. 2013 · This does work, but it runs very, very slowly. One of my nodes has slower I/O than the other two, having just a single SATA drive. When this node is primary, the deletes run at about 5-10 documents/sec. By using rs.stepDown () I have demoted this slower primary and forced an election to get a primary with better I/O.

Web29 mei 2024 · MongoDB count query very slow Ask Question Asked 4 years, 10 months ago Modified 4 years, 10 months ago Viewed 254 times 0 In my MongoDB collection I … Web2 aug. 2024 · MongoDB count is very slow - Stack Overflow MongoDB count is very slow Ask Question Asked 5 years, 7 months ago Modified 5 years, 7 months ago …

Web10 sep. 2016 · -In MongoDB profiler did you check the slow running queries. -Did you try indexing the documents (use inputs from above step) -Which version of MongoDB are … Web21 mrt. 2024 · The $reduce simply acts on "array members" within each document. Also fast and slow are really subjective without context. But for example if you had a couple of million documents, then a $match on a non-indexed field would be expected to be very slow. And yes at that stage in a pipeline you cannot use an index. Too broad anyway. – Neil Lunn

Web25 aug. 2024 · If you’ve tried all the internal optimizations you can think of within MongoDB and your queries are still too slow, it may be time for an external index. Using an external index, your data can be indexes and queried from an entirely separate database with a completely different set of strengths and limitations.

Web5 sep. 2024 · Because mongo doesn't maintain a count of the number of documents that match certain criteria in its b-tree index, it needs to scan through the index counting … eighty five inch t. v. sWeb4 aug. 2024 · It looks like from the execution stats nReturned==totalKeysExamined==totalDocsExamined so meaning its direct from index, with 600k records isit supposed to be slow ~5s? mongodb query-optimization Share Follow asked Aug 4, 2024 at 0:09 Jiew Meng 84.3k 180 486 798 Is your disk health good? – … eighty five milesWeb17 aug. 2024 · MongoDB very slow $count after $lookup Ask Question Asked Viewed 0 Help, I am using MongoDB 4.2.6, and writing an aggregate to obtain the number of … eighty five is a lucky number page numer