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  • simonw · 1 ✖

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  • Ways to improve fuzzy search speed on larger data sets? · 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
548055544 https://github.com/simonw/datasette/issues/607#issuecomment-548055544 https://api.github.com/repos/simonw/datasette/issues/607 MDEyOklzc3VlQ29tbWVudDU0ODA1NTU0NA== simonw 9599 2019-10-30T18:37:44Z 2019-10-30T18:37:52Z OWNER

.Hi @zeluspudding

You're running your search queries using the "contains" filter, which uses a like query under the hood.

SQL like queries are generally slow because they force a full table scan. You can add an index on the column but it will only speed up prefix queries, like ... where name like 'apple%' - they won't help if you are searching for text further along the string.

Instead, you should take a look at SQLite's FTS - full text indexing feature. You can build a FTS index against a column and dramatically speed up searches for words within that column.

This documentation should help get you started: https://datasette.readthedocs.io/en/stable/full_text_search.html

 
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 Ways to improve fuzzy search speed on larger data sets? 512996469  

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