html_url,issue_url,id,node_id,user,user_label,created_at,updated_at,author_association,body,reactions,issue,issue_label,performed_via_github_app
https://github.com/simonw/datasette/issues/38#issuecomment-339388215,https://api.github.com/repos/simonw/datasette/issues/38,339388215,MDEyOklzc3VlQ29tbWVudDMzOTM4ODIxNQ==,9599,simonw,2017-10-25T16:25:45Z,2017-10-25T16:25:45Z,OWNER,"First experiment: hook up an iterative CSV dump (just because that’s a tiny bit easier to get started with than iterative a JSON). Have it execute a big select statement and then iterate through the result set 100 rows at a time using sqite fetchmany() - also have it async sleep for a second in between each batch of 100.

Can this work without needing python threads? ","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",268462768,Experiment with patterns for concurrent long running queries,
https://github.com/simonw/datasette/issues/38#issuecomment-392601114,https://api.github.com/repos/simonw/datasette/issues/38,392601114,MDEyOklzc3VlQ29tbWVudDM5MjYwMTExNA==,9599,simonw,2018-05-28T20:47:31Z,2018-05-28T20:47:31Z,OWNER,I think the way Datasette executes SQL queries in a thread pool introduced in #45 is a good solution for this ticket.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",268462768,Experiment with patterns for concurrent long running queries,
https://github.com/simonw/datasette/issues/38#issuecomment-339389328,https://api.github.com/repos/simonw/datasette/issues/38,339389328,MDEyOklzc3VlQ29tbWVudDMzOTM4OTMyOA==,9599,simonw,2017-10-25T16:29:23Z,2017-10-25T16:29:23Z,OWNER,Ideally we can get some serious gains from the fact that our database file is opened with the immutable option.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",268462768,Experiment with patterns for concurrent long running queries,
https://github.com/simonw/datasette/issues/38#issuecomment-339388771,https://api.github.com/repos/simonw/datasette/issues/38,339388771,MDEyOklzc3VlQ29tbWVudDMzOTM4ODc3MQ==,9599,simonw,2017-10-25T16:27:29Z,2017-10-25T16:27:29Z,OWNER,"If this does work, I need to figure it what to do about the HTML view. ASsuming I can  iteratively produce JSON and CSV, what to do about HTML? One option: render the first 500 rows as HTML, then hand off to an infinite scroll experience that iteratively loads more rows as JSON.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",268462768,Experiment with patterns for concurrent long running queries,
https://github.com/simonw/datasette/issues/38#issuecomment-339389105,https://api.github.com/repos/simonw/datasette/issues/38,339389105,MDEyOklzc3VlQ29tbWVudDMzOTM4OTEwNQ==,9599,simonw,2017-10-25T16:28:39Z,2017-10-25T16:28:39Z,OWNER,The gold standard here is to be able to serve up increasingly large datasets without blocking the event loop and while using a sustainable amount of RAM,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",268462768,Experiment with patterns for concurrent long running queries,