issues: 2007893839

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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
2007893839 I_kwDOCGYnMM53rgdP 605 Insert fails with `Error: Python int too large to convert to SQLite INTEGER`; can we use `NUMERIC` here? 12229877 closed 0     1 2023-11-23T10:19:46Z 2023-12-08T05:07:54Z 2023-12-08T05:07:54Z NONE  

I'm currently working on a new feature for Hypothesis, where we can dump a tidy jsonlines table of all the test cases we tried - including arguments, outcomes, timings, coverage, etc. Exploring this seems like a perfect cases for sqlite-utils and datasette, but I pretty quickly ran into an integer overflow problem and don't want to recommend that experience to my users.

I originally went to report this as a bug... and then found https://github.com/simonw/sqlite-utils/issues/309#issuecomment-895581038 almost exactly matched my repro 😅

https://github.com/simonw/sqlite-utils/issues/110#issuecomment-626391063 suggests that using NUMERIC would avoid this overflow error, although "If the TEXT value is a well-formed integer literal that is too large to fit in a 64-bit signed integer, it is converted to REAL." suggests that this would come at the cost of rounding to the nearest float value. Maybe I should just convert large integers to float before writing out my json?

After a bit more hacking, "manually cast large integers to float" seems like a decent solution for my particular case, but having written it up I thought I might as well post this issue anyway - I hope it's useful feedback, and won't mind at all if you close as wontfix if it's not.

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