issue_comments

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1 row where issue = 451513541 and "updated_at" is on date 2019-06-13 sorted by updated_at descending

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issue 1

  • Full text search of all tables at once? · 1 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
501903071 https://github.com/simonw/datasette/issues/498#issuecomment-501903071 https://api.github.com/repos/simonw/datasette/issues/498 MDEyOklzc3VlQ29tbWVudDUwMTkwMzA3MQ== chrismp 7936571 2019-06-13T22:35:06Z 2019-06-13T22:35:06Z NONE

I'd like to start working on this. I've made a custom template for index.html that contains a form that contains a search input. But I'm not sure where to go from here. When user enters a search term, I'd like for that term to go into a function I'll make that will search all tables with full text search enabled.

Can I make additional custom Python scripts for this or must I edit datasette's files directly?

 
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    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
 Full text search of all tables at once? 451513541  

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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]);