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2 rows where issue = 471628483

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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
514162499 https://github.com/simonw/sqlite-utils/issues/44#issuecomment-514162499 https://api.github.com/repos/simonw/sqlite-utils/issues/44 MDEyOklzc3VlQ29tbWVudDUxNDE2MjQ5OQ== simonw 9599 2019-07-23T11:01:45Z 2019-07-23T11:01:45Z OWNER `id = table.lookup({"name":"Cleo"})` - If table does not exist, create it with id, name where name is unique - If table does exist, add unique name column - If table and column exist, add unique constraint - throw error if impossible - now either insert the new row or return the existing ID {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} Utilities for building lookup tables 471628483  
514162930 https://github.com/simonw/sqlite-utils/issues/44#issuecomment-514162930 https://api.github.com/repos/simonw/sqlite-utils/issues/44 MDEyOklzc3VlQ29tbWVudDUxNDE2MjkzMA== simonw 9599 2019-07-23T11:03:03Z 2019-07-23T11:03:16Z OWNER I considered keyword arguments for this, but I am going with a dictionary instead - for two reasons: * leaves the option to add extra keyword arguments for further options later * supports column names that are not valid keyword arguments {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} Utilities for building lookup tables 471628483  

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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]);
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