issue_comments
4 rows where author_association = "OWNER" and issue = 925305186 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Automatic type detection for CSV data · 4 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | issue | performed_via_github_app |
---|---|---|---|---|---|---|---|---|---|---|---|
864354627 | https://github.com/simonw/sqlite-utils/issues/282#issuecomment-864354627 | https://api.github.com/repos/simonw/sqlite-utils/issues/282 | MDEyOklzc3VlQ29tbWVudDg2NDM1NDYyNw== | simonw 9599 | 2021-06-19T04:42:03Z | 2021-06-19T04:42:03Z | OWNER | Demo:
|
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Automatic type detection for CSV data 925305186 | |
864350407 | https://github.com/simonw/sqlite-utils/issues/282#issuecomment-864350407 | https://api.github.com/repos/simonw/sqlite-utils/issues/282 | MDEyOklzc3VlQ29tbWVudDg2NDM1MDQwNw== | simonw 9599 | 2021-06-19T03:52:20Z | 2021-06-19T03:52:20Z | OWNER | I'll have an environment variable for |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Automatic type detection for CSV data 925305186 | |
864349123 | https://github.com/simonw/sqlite-utils/issues/282#issuecomment-864349123 | https://api.github.com/repos/simonw/sqlite-utils/issues/282 | MDEyOklzc3VlQ29tbWVudDg2NDM0OTEyMw== | simonw 9599 | 2021-06-19T03:36:54Z | 2021-06-19T03:36:54Z | OWNER | I may change the default for |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Automatic type detection for CSV data 925305186 | |
864348954 | https://github.com/simonw/sqlite-utils/issues/282#issuecomment-864348954 | https://api.github.com/repos/simonw/sqlite-utils/issues/282 | MDEyOklzc3VlQ29tbWVudDg2NDM0ODk1NA== | simonw 9599 | 2021-06-19T03:34:42Z | 2021-06-19T03:35:46Z | OWNER | I built some prototype code here for something which looks at every row in a CSV import and records the likely types: https://gist.github.com/simonw/465f9356f175d1cf86957947dff501d4 This could be used by the command-line tools to figure out what This is a different approach to the pure SQL version I tried building in https://github.com/simonw/sqlite-utils/issues/179 - I think this is a better approach though, it's less prone to weird idiosyncrasies of SQLite types, and it's also easy for us to add on to the existing CSV import code in a way that won't require scanning the data twice. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Automatic type detection for CSV data 925305186 |
Advanced export
JSON shape: default, array, newline-delimited, object
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