issue_comments

Table actions

1 row where user = 701

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date), updated_at (date)

id ▼ html_url issue_url node_id user created_at updated_at author_association body reactions issue performed_via_github_app
810943882 https://github.com/simonw/datasette/issues/526#issuecomment-810943882 https://api.github.com/repos/simonw/datasette/issues/526 MDEyOklzc3VlQ29tbWVudDgxMDk0Mzg4Mg== jokull 701 2021-03-31T10:03:55Z 2021-03-31T10:03:55Z NONE +1 on using nested queries to achieve this! Would be great as streaming CSV is an amazing feature. Some UX/DX details: I was expecting it to work to simply add `&_stream=on` to custom SQL queries because the docs say > Any Datasette table, view or **custom SQL query** can be exported as CSV. After a bit of testing back and forth I realized streaming only works for full tables. Would love this feature because I'm using `pandas.read_csv` to paint graphs from custom queries and the graphs are cut off because of the 1000 row limit. {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} Stream all results for arbitrary SQL and canned queries 459882902  

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

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]);