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2 rows where "created_at" is on date 2022-03-09 sorted by updated_at descending
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id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | issue | performed_via_github_app |
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1062450649 | https://github.com/simonw/datasette/issues/1655#issuecomment-1062450649 | https://api.github.com/repos/simonw/datasette/issues/1655 | IC_kwDOBm6k_c4_U7XZ | fgregg 536941 | 2022-03-09T01:10:46Z | 2022-03-09T01:10:46Z | CONTRIBUTOR | i increased the max_returned_row, because I have some scripts that get CSVs from this site, and this makes doing pagination of CSVs less annoying for many cases. i know that's streaming csvs is something you are hoping to address in 1.0. let me know if there's anything i can do to help with that. as for what if anything can be done about the size of the dom, I don't have any ideas right now, but i'll poke around. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
query result page is using 400mb of browser memory 40x size of html page and 400x size of csv data 1163369515 | |
1062445113 | https://github.com/simonw/datasette/issues/1655#issuecomment-1062445113 | https://api.github.com/repos/simonw/datasette/issues/1655 | IC_kwDOBm6k_c4_U6A5 | simonw 9599 | 2022-03-09T01:01:24Z | 2022-03-09T01:01:24Z | OWNER | https://labordata.bunkum.us/-/settings shows Any thoughts on how Datasette could handle this kind of thing better? |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
query result page is using 400mb of browser memory 40x size of html page and 400x size of csv data 1163369515 |
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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]);
user 2