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3 rows where author_association = "MEMBER" and issue = 503053800 sorted by updated_at descending

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  • Extract "source" into a separate lookup table · 3 ✖

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  • MEMBER · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
542858025 https://github.com/dogsheep/twitter-to-sqlite/issues/12#issuecomment-542858025 https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/12 MDEyOklzc3VlQ29tbWVudDU0Mjg1ODAyNQ== simonw 9599 2019-10-16T19:35:31Z 2019-10-16T19:36:09Z MEMBER

Maybe this means I need an upgrade command to apply these kinds of migrations? Total feature creep!

 
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 Extract "source" into a separate lookup table 503053800  
542855427 https://github.com/dogsheep/twitter-to-sqlite/issues/12#issuecomment-542855427 https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/12 MDEyOklzc3VlQ29tbWVudDU0Mjg1NTQyNw== simonw 9599 2019-10-16T19:27:55Z 2019-10-16T19:27:55Z MEMBER

I can do that by keeping source as a TEXT column but turning it into a non-enforced foreign key against a new sources table. Then I can run code that scans that column for any values beginning with a < and converts them.

 
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 Extract "source" into a separate lookup table 503053800  
542855081 https://github.com/dogsheep/twitter-to-sqlite/issues/12#issuecomment-542855081 https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/12 MDEyOklzc3VlQ29tbWVudDU0Mjg1NTA4MQ== simonw 9599 2019-10-16T19:26:56Z 2019-10-16T19:26:56Z MEMBER

This may be the first case where I want to be able to repair existing databases rather than discarding their contents.

 
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 Extract "source" into a separate lookup table 503053800  

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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]);