issue_comments

Table actions

1 row where issue = 2007893839 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

issue 1

  • Insert fails with `Error: Python int too large to convert to SQLite INTEGER`; can we use `NUMERIC` here? · 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
1846554637 https://github.com/simonw/sqlite-utils/issues/605#issuecomment-1846554637 https://api.github.com/repos/simonw/sqlite-utils/issues/605 IC_kwDOCGYnMM5uEDAN simonw 9599 2023-12-08T05:07:54Z 2023-12-08T05:07:54Z OWNER

Thanks for opening an issue - this should help future Google searchers figure out what's going on here.

Another approach here could be to store large integers as TEXT in SQLite (or even as BLOB).

Both storing as REAL and storing as TEXT/BLOB feel nasty to me, but it looks like SQLite has a hard upper limit of 9223372036854775807 for integers.

 
{
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
 Insert fails with `Error: Python int too large to convert to SQLite INTEGER`; can we use `NUMERIC` here? 2007893839  

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]);