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2 rows where issue = 275135719 sorted by updated_at descending

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user 1

  • simonw 2

issue 1

  • Filtered tables should show count of all matching rows, if fast enough · 2 ✖

author_association 1

  • OWNER 2
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
345538016 https://github.com/simonw/datasette/issues/127#issuecomment-345538016 https://api.github.com/repos/simonw/datasette/issues/127 MDEyOklzc3VlQ29tbWVudDM0NTUzODAxNg== simonw 9599 2017-11-19T18:22:45Z 2017-11-19T18:22:45Z OWNER

I implemented a basic version of this in f59c840e7db8870afcdeba7a53bdea07bb674334 for custom SQL.

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Filtered tables should show count of all matching rows, if fast enough 275135719  
345495046 https://github.com/simonw/datasette/issues/127#issuecomment-345495046 https://api.github.com/repos/simonw/datasette/issues/127 MDEyOklzc3VlQ29tbWVudDM0NTQ5NTA0Ng== simonw 9599 2017-11-19T06:17:42Z 2017-11-19T06:17:42Z OWNER

Maybe I should support &_count=1 to handle this - that would be easy to Ajax-in in conjenction with the other filters.

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Filtered tables should show count of all matching rows, if fast enough 275135719  

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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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