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1 row where issue = 1447050738 and user = 639730 sorted by updated_at descending
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issue 1
- Call for birthday presents: if you're using Datasette, let us know how you're using it here · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | issue | performed_via_github_app |
---|---|---|---|---|---|---|---|---|---|---|---|
1314223118 | https://github.com/simonw/datasette/issues/1886#issuecomment-1314223118 | https://api.github.com/repos/simonw/datasette/issues/1886 | IC_kwDOBm6k_c5OVXQO | virtadpt 639730 | 2022-11-14T18:51:20Z | 2022-11-14T18:51:20Z | NONE | I use Datasette to analyze blocklists by using csv-to-sqlite to pull their contents into a database and Datasette to look around through them. I also use its REST API to query said database as part of filtering out garbage from domains found in those blocklists. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Call for birthday presents: if you're using Datasette, let us know how you're using it here 1447050738 |
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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