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1 row where issue = 451513541, "updated_at" is on date 2019-06-23 and user = 7936571 sorted by updated_at descending

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  • chrismp · 1 ✖

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

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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
504785662 https://github.com/simonw/datasette/issues/498#issuecomment-504785662 https://api.github.com/repos/simonw/datasette/issues/498 MDEyOklzc3VlQ29tbWVudDUwNDc4NTY2Mg== chrismp 7936571 2019-06-23T20:47:37Z 2019-06-23T20:47:37Z NONE

Very cool, thank you.

Using http://search-24ways.herokuapp.com as an example, let's say I want to search all FTS columns in all tables in all databases for the word "web."

Here's a link to the query I'd need to run to search "web" on FTS columns in articles table of the 24ways database.

And here's a link to the JSON version of the above result. I'd like to get the JSON result of that query for each FTS table of each database in my datasette project.

Is it possible in Javascript to automate the construction of query URLs like the one I linked, but for every FTS table in my datasette project?

 
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 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]);