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1 row where comments = 32, "created_at" is on date 2022-04-27 and repo = 107914493 sorted by updated_at descending

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id node_id number title user state locked assignee milestone comments created_at updated_at ▲ closed_at author_association pull_request body repo type active_lock_reason performed_via_github_app reactions draft state_reason
1217759117 I_kwDOBm6k_c5IlYeN 1727 Research: demonstrate if parallel SQL queries are worthwhile simonw 9599 open 0     32 2022-04-27T18:54:21Z 2022-09-26T14:48:31Z   OWNER  

I added parallel SQL query execution here: - https://github.com/simonw/datasette/issues/1723

My hunch is that this will take advantage of multiple cores, since Python's sqlite3 module releases the GIL once a query is passed to SQLite.

I'd really like to prove this is the case though. Just not sure how to do it!

Larger question: is this performance optimization actually improving performance at all? Under what circumstances is it worthwhile?

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