issue_comments

Table actions

3 rows where issue = 1516644980

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: user, author_association, 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
1369333759 https://github.com/simonw/sqlite-utils/issues/520#issuecomment-1369333759 https://api.github.com/repos/simonw/sqlite-utils/issues/520 IC_kwDOCGYnMM5Rnl__ simonw 9599 2023-01-03T02:23:43Z 2023-01-03T02:23:43Z OWNER The documentation here does at least say the following: https://sqlite-utils.datasette.io/en/3.30/python-api.html#reading-rows-from-a-file > - **fp** (*BinaryIO*) -- a file-like object containing binary data {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} rows_from_file() raises confusing error if file-like object is not in binary mode 1516644980  
1421571810 https://github.com/simonw/sqlite-utils/issues/520#issuecomment-1421571810 https://api.github.com/repos/simonw/sqlite-utils/issues/520 IC_kwDOCGYnMM5Uu3bi mcarpenter 167893 2023-02-07T22:43:09Z 2023-02-07T22:43:09Z CONTRIBUTOR Hey, isn't this essentially the same issue as #448 ? {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} rows_from_file() raises confusing error if file-like object is not in binary mode 1516644980  
1539109587 https://github.com/simonw/sqlite-utils/issues/520#issuecomment-1539109587 https://api.github.com/repos/simonw/sqlite-utils/issues/520 IC_kwDOCGYnMM5bvPLT simonw 9599 2023-05-08T22:00:46Z 2023-05-08T22:00:46Z OWNER > Hey, isn't this essentially the same issue as #448 ? Yes it is, good catch! {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} rows_from_file() raises confusing error if file-like object is not in binary mode 1516644980  

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]);