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2 rows where author_association = "OWNER", issue = 451513541 and "updated_at" is on date 2019-06-23 sorted by updated_at descending

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  • Full text search of all tables at once? · 2 ✖

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  • OWNER · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
504793988 https://github.com/simonw/datasette/issues/498#issuecomment-504793988 https://api.github.com/repos/simonw/datasette/issues/498 MDEyOklzc3VlQ29tbWVudDUwNDc5Mzk4OA== simonw 9599 2019-06-23T22:40:25Z 2019-06-23T22:41:25Z OWNER

You can use a database query against sqlite_master to find all the FTS tables:

http://sf-trees.datasettes.com/trees-b64f0cb?sql=select+name+from+sqlite_master+where+name+like+%22%25_fts%22+and+type+%3D+%22table%22

select name from sqlite_master where name like "%_fts" and type = "table"

You could then construct a crafty UNION query to get results back from all of those tables at once:

http://sf-trees.datasettes.com/trees-b64f0cb?sql=select+%27PlantType_value_fts%27%2C+rowid%2C+value+from+PlantType_value_fts+where+PlantType_value_fts+match+%3Asearch%0D%0A++union%0D%0Aselect+%27qCareAssistant_value_fts%27%2C+rowid%2C+value+from+qCareAssistant_value_fts+where+qCareAssistant_value_fts+match+%3Asearch%0D%0A++union%0D%0Aselect+%27qCaretaker_value_fts%27%2C+rowid%2C+value+from+qCaretaker_value_fts+where+qCaretaker_value_fts+match+%3Asearch%0D%0A++union%0D%0Aselect+%27qLegalStatus_value_fts%27%2C+rowid%2C+value+from+qLegalStatus_value_fts+where+qLegalStatus_value_fts+match+%3Asearch%0D%0A++union%0D%0Aselect+%27qSiteInfo_value_fts%27%2C+rowid%2C+value+from+qSiteInfo_value_fts+where+qSiteInfo_value_fts+match+%3Asearch%0D%0A++union%0D%0Aselect+%27qSpecies_value_fts%27%2C+rowid%2C+value+from+qSpecies_value_fts+where+qSpecies_value_fts+match+%3Asearch&search=fi%2A

(I'm searching for fi* here to demonstrate wildcards)

The problem, as discussed earlier, is relevance: there's no way to compare the scores you're getting across different tables, so you won't be able to order by anything.

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Full text search of all tables at once? 451513541  
504763919 https://github.com/simonw/datasette/issues/498#issuecomment-504763919 https://api.github.com/repos/simonw/datasette/issues/498 MDEyOklzc3VlQ29tbWVudDUwNDc2MzkxOQ== simonw 9599 2019-06-23T15:50:49Z 2019-06-23T15:50:49Z OWNER

One interesting way to approach this could be to do it entirely in JavaScript. I've had a lot of success building small apps on top of Datasette's JavaScript API - I wrote up one example here: https://24ways.org/2018/fast-autocomplete-search-for-your-website/

Once #272 is done I'll be adding a plugin hook that allows plugins to define entirely new pages within the Datasette application, which may also be a good way to work on this.

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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]);
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