There is a MongoDB database, which divides a table into 16 collection, each collection has 2 million----3 million records
Count counts are now queried on a daily basis based on specific criteria
Only from a simple programming language, it should be faster, regardless of concurrency and other issues
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There is a MongoDB database, which divides a table into 16 collection, each collection has 2 million----3 million records
Count counts are now queried on a daily basis based on specific criteria
Only from a simple programming language, it should be faster, regardless of concurrency and other issues
Obviously the bottleneck is in MongoDB, and it doesn't matter what language you use.
Count counts are now queried on a daily basis based on specific criteria
Are you counting all the collection count or alone?
Actually, I suggest you. If count is too long, you should have a separate field in the insert when you go to +1,count to see that field.
As for the programming language you mentioned, as Ls says, it doesn't matter how much the bottleneck is in db
The database connection pool is fast ...