issue_comments: 1008220270

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html_url issue_url id node_id user created_at updated_at author_association body reactions issue performed_via_github_app
https://github.com/simonw/sqlite-utils/issues/369#issuecomment-1008220270 https://api.github.com/repos/simonw/sqlite-utils/issues/369 1008220270 IC_kwDOCGYnMM48GDhu 9599 2022-01-09T03:12:38Z 2022-01-09T03:13:15Z OWNER

Basically no difference using this very basic benchmark: analyze % python3 -m timeit '__import__("sqlite3").connect("global-power-plants.db").execute("select country_long, count(*) from [global-power-plants] group by country_long").fetchall()' 100 loops, best of 5: 2.39 msec per loop analyze % python3 -m timeit '__import__("sqlite3").connect("global-power-plants-analyzed.db").execute("select country_long, count(*) from [global-power-plants] group by country_long").fetchall()' 100 loops, best of 5: 2.38 msec per loop I should try this against a much larger database.

https://covid-19.datasettes.com/covid.db is 879MB.

 
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