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1 row where issue = 1374626873 and user = 82988 sorted by updated_at descending

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  • psychemedia · 1 ✖

issue 1

  • Featured table(s) on the homepage · 1 ✖

author_association 1

  • CONTRIBUTOR 1
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
1248204219 https://github.com/simonw/datasette/issues/1810#issuecomment-1248204219 https://api.github.com/repos/simonw/datasette/issues/1810 IC_kwDOBm6k_c5KZhW7 psychemedia 82988 2022-09-15T14:44:47Z 2022-09-15T14:46:26Z CONTRIBUTOR

A couple+ of possible use case examples:

  • someone has a collection of articles indexed with FTS; they want to publish a simple search tool over the results;
  • someone has an image collection and they want to be able to search over description text to return images;
  • someone has a set of locations with descriptions, and wants to run a query over places and descriptions and get results as a listing or on a map;
  • someone has a set of audio or video files with titles, descriptions and/or transcripts, and wants to be able to search over them and return playable versions of returned items.

In many cases, I suspect the raw content will be in one table, but the search table will be a second (eg FTS) table. Generally, the search may be over one or more joined tables, and the results constructed from one or more tables (which may or may not be distinct from the search tables).

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Featured table(s) on the homepage 1374626873  

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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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