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id ▼ html_url issue_url node_id user created_at updated_at author_association body reactions issue performed_via_github_app
343715915 https://github.com/simonw/datasette/issues/25#issuecomment-343715915 https://api.github.com/repos/simonw/datasette/issues/25 MDEyOklzc3VlQ29tbWVudDM0MzcxNTkxNQ== simonw 9599 2017-11-12T06:08:28Z 2017-11-12T06:08:28Z OWNER con = sqlite3.connect('existing_db.db') with open('dump.sql', 'w') as f: for line in con.iterdump(): f.write('%s\n' % line) {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} Endpoint that returns SQL ready to be piped into DB 267857622  
344487639 https://github.com/simonw/datasette/issues/25#issuecomment-344487639 https://api.github.com/repos/simonw/datasette/issues/25 MDEyOklzc3VlQ29tbWVudDM0NDQ4NzYzOQ== simonw 9599 2017-11-15T05:11:11Z 2017-11-15T05:11:11Z OWNER Since you can already download the database directly, I'm not going to bother with this one. {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} Endpoint that returns SQL ready to be piped into DB 267857622  

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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]);