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Comment by eurleif

9 hours ago

Looks like the overhead is not insignificant:

    Running 100,000 `SELECT 1` queries:
    PostgreSQL (localhost): 2.77 seconds
    SQLite (in-memory): 0.07 seconds

(https://gist.github.com/leifkb/1ad16a741fd061216f074aedf1eca...)

I love them both too but that might not be the best metric unless you’re planning to run lots of little read queries. If you’re doing CRUD, simulating that workflow may favor Postgres given the transactional read/write work that needs to take place across multiple concurrent connections.

  • > I love them both too but that might not be the best metric unless you’re planning to run lots of little read queries.

    Exactly. Back in the real world,anyone who is faced with that sort of usecase will simply add memory cache and not bother with the persistence layer.

    • Not sure that’s always right either though. For example Mapbox used to use an SQLite database as the disk cache for map tile info. You cannot possibly store that amount of data in memory, so it’s a great use case.

This is mostly about thread communication. With SQLite you can guarantee no context switching. Postgres running on the same box gets you close but not all the way. It's still in a different process.

  • This. Run an app on the same box as PG and you can easily be plagued by out of memory etc (as there's memory contention between the two processes).

Why are you comparing PostgreSQL to an in-memory SQLite instead of a file-based one? Wow, memory is faster than disk, who would have thought?

A total performance delta of <3s on ~300k transactions is indeed the definition of irrelevant.

Also:

> PostgreSQL (localhost): (. .) SQLite (in-memory):

This is a rather silly example. What do you expect to happen to your data when your node restarts?

Your example makes as much sense as comparing Valkey with Postgres and proceed to proclaim that the performance difference is not insignificant.

It is insignificant if you're doing 100k queries per day, and you gain a lot for your 3 extra seconds a day.

What a useful "my hello-world script is faster than your hello-world script" example.