issue_comments
2 rows where author_association = "OWNER", "created_at" is on date 2019-05-23, issue = 447469253 and user = 9599 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date)
issue 1
- Improvements to table label detection · 2 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | issue | performed_via_github_app |
---|---|---|---|---|---|---|---|---|---|---|---|
495085021 | https://github.com/simonw/datasette/issues/485#issuecomment-495085021 | https://api.github.com/repos/simonw/datasette/issues/485 | MDEyOklzc3VlQ29tbWVudDQ5NTA4NTAyMQ== | simonw 9599 | 2019-05-23T06:27:57Z | 2019-05-26T23:15:51Z | OWNER | I could attempt to calculate the statistics needed for this in a time limited SQL query something like this one: https://latest.datasette.io/fixtures?sql=select+%27name%27+as+column%2C+count+%28distinct+name%29+as+count_distinct%2C+avg%28length%28name%29%29+as+avg_length+from+roadside_attractions%0D%0A++union%0D%0Aselect+%27address%27+as+column%2C+count%28distinct+address%29+as+count_distinct%2C+avg%28length%28address%29%29+as+avg_length+from+roadside_attractions
|
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Improvements to table label detection 447469253 | |
495083670 | https://github.com/simonw/datasette/issues/485#issuecomment-495083670 | https://api.github.com/repos/simonw/datasette/issues/485 | MDEyOklzc3VlQ29tbWVudDQ5NTA4MzY3MA== | simonw 9599 | 2019-05-23T06:21:52Z | 2019-05-23T06:22:36Z | OWNER | If a table has more than two columns we could do a betterl job at guessing the label column. A few potential tricks:
|
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Improvements to table label detection 447469253 |
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