issue_comments

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1 row where author_association = "OWNER" and "created_at" is on date 2019-08-03 sorted by updated_at descending

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  • OWNER · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
517927854 https://github.com/simonw/sqlite-utils/issues/23#issuecomment-517927854 https://api.github.com/repos/simonw/sqlite-utils/issues/23 MDEyOklzc3VlQ29tbWVudDUxNzkyNzg1NA== simonw 9599 2019-08-03T14:17:12Z 2019-08-03T14:17:12Z OWNER

It would be neat if this could interact with the lookup table mechanism introduced in #44

Maybe like this:

python table.insert({"name": "Barry"}).m2m("tags", lookup={"tag": "Coworker"})

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
 Syntactic sugar for creating m2m records 449565204  

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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]);