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2 rows where issue = 991467558

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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
917840012 https://github.com/simonw/datasette/issues/1466#issuecomment-917840012 https://api.github.com/repos/simonw/datasette/issues/1466 IC_kwDOBm6k_c42tSCM simonw 9599 2021-09-13T04:54:59Z 2021-09-13T04:54:59Z OWNER Especially relevant now that 0.2.0 is out which is a much higher quality release. https://github.com/simonw/datasette-app/releases/tag/0.2.0 {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} Add Datasette Desktop to installation documentation 991467558  
1012546223 https://github.com/simonw/datasette/issues/1466#issuecomment-1012546223 https://api.github.com/repos/simonw/datasette/issues/1466 IC_kwDOBm6k_c48Wjqv simonw 9599 2022-01-13T21:54:51Z 2022-01-13T21:54:51Z OWNER Going with this for the copy: > [Datasette Desktop](https://datasette.io/desktop) is a packaged Mac application which bundles Datasette together with Python and allows you to install and run Datasette directly on your laptop. This is the best option for local installation if you are not comfortable using the command line. {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} Add Datasette Desktop to installation documentation 991467558  

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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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