issue_comments
1 row where author_association = "OWNER", issue = 1163369515 and user = 9599 sorted by updated_at descending
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issue 1
- query result page is using 400mb of browser memory 40x size of html page and 400x size of csv data · 1 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | issue | performed_via_github_app |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 1