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3 rows where "created_at" is on date 2019-06-23, 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? · 3 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | issue | performed_via_github_app |
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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
You could then construct a crafty UNION query to get results back from all of those tables at once: (I'm searching for 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 | |
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 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 | |
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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