id,node_id,number,title,user,user_label,state,locked,assignee,assignee_label,milestone,milestone_label,comments,created_at,updated_at,closed_at,author_association,pull_request,body,repo,repo_label,type,active_lock_reason,performed_via_github_app,reactions,draft,state_reason
770436876,MDU6SXNzdWU3NzA0MzY4NzY=,1150,Maintain an in-memory SQLite table of connected databases and their tables,9599,simonw,closed,0,,,3268330,Datasette 1.0,32,2020-12-17T23:02:13Z,2020-12-27T14:51:39Z,2020-12-18T22:34:12Z,OWNER,,"I want Datasette to have its own internal metadata about connected tables, to power features like a paginated searchable homepage in #461. I want this to be a SQLite table.

This could also be part of the directory scanning mechanism prototyped in #672 - where Datasette can be set to continually scan a directory for new database files that it can serve.

Also relevant to the Datasette Library concept in #417.",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1150/reactions"", ""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed
1217759117,I_kwDOBm6k_c5IlYeN,1727,Research: demonstrate if parallel SQL queries are worthwhile,9599,simonw,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?",107914493,datasette,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/1727/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,