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2 rows where issue = 817989436 and user = 25778 sorted by updated_at descending

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  • eyeseast · 2 ✖

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  • Async support · 2 ✖

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  • CONTRIBUTOR 2
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
953911245 https://github.com/simonw/sqlite-utils/issues/242#issuecomment-953911245 https://api.github.com/repos/simonw/sqlite-utils/issues/242 IC_kwDOCGYnMM4424fN eyeseast 25778 2021-10-28T14:37:55Z 2021-10-28T14:37:55Z CONTRIBUTOR

I've been thinking about this a bit lately, doing a project that involves moving a lot of data in and out of SQLite files, datasette and GeoJSON. This has me leaning toward the idea that something like datasette query would be a better place to do async queries.

I know there's a lot of overlap in sqlite-utils and datasette, and maybe keeping sqlite-utils synchronous would let datasette be entirely async and give a cleaner separation of implementations.

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Async support 817989436  
787121933 https://github.com/simonw/sqlite-utils/issues/242#issuecomment-787121933 https://api.github.com/repos/simonw/sqlite-utils/issues/242 MDEyOklzc3VlQ29tbWVudDc4NzEyMTkzMw== eyeseast 25778 2021-02-27T19:18:57Z 2021-02-27T19:18:57Z CONTRIBUTOR

I think HTTPX gets it exactly right, with a clear separation between sync and async clients, each with a basically identical API. (I'm about to switch feed-to-sqlite over to it, from Requests, to eventually make way for async support.)

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Async support 817989436  

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CREATE TABLE [issue_comments] (
   [html_url] TEXT,
   [issue_url] TEXT,
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
   [updated_at] TEXT,
   [author_association] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [issue] INTEGER REFERENCES [issues]([id])
, [performed_via_github_app] TEXT);
CREATE INDEX [idx_issue_comments_issue]
                ON [issue_comments] ([issue]);
CREATE INDEX [idx_issue_comments_user]
                ON [issue_comments] ([user]);
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