issue_comments

Table actions

1 row where "updated_at" is on date 2022-04-14 and user = 25778 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

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

user 1

  • eyeseast · 1 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
1099540225 https://github.com/simonw/datasette/issues/1713#issuecomment-1099540225 https://api.github.com/repos/simonw/datasette/issues/1713 IC_kwDOBm6k_c5BiacB eyeseast 25778 2022-04-14T19:09:57Z 2022-04-14T19:09:57Z CONTRIBUTOR

I wonder if this overlaps with what I outlined in #1605. You could run something like this:

sh datasette freeze -d exports/ aws s3 cp exports/ s3://my-export-bucket/$(date)

And maybe that does what you need. Of course, that plugin isn't built yet. But that's the idea.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
 Datasette feature for publishing snapshots of query results 1203943272  

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]);