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1 row where body = "Update: I've created a table of only unique names. This reduces the search space from over 16 million, to just about 640,000. Interestingly, it takes less than 2 seconds to create this table using Python. Performing the same search that we did earlier for `elon musk` takes nearly a second - much faster than before but still not speedy enough for an autocomplete feature (which usually needs to return results within 100ms to feel "real time"). Any ideas for slashing the search speed nearly 10 fold? > ![image](https://user-images.githubusercontent.com/8431341/67639587-b6c02b00-f8bf-11e9-9344-1d8667cad395.png) " and user = 8431341 sorted by updated_at descending
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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 |
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546722281 | https://github.com/simonw/datasette/issues/607#issuecomment-546722281 | https://api.github.com/repos/simonw/datasette/issues/607 | MDEyOklzc3VlQ29tbWVudDU0NjcyMjI4MQ== | zeluspudding 8431341 | 2019-10-27T18:46:29Z | 2019-10-27T19:00:40Z | NONE | Update: I've created a table of only unique names. This reduces the search space from over 16 million, to just about 640,000. Interestingly, it takes less than 2 seconds to create this table using Python. Performing the same search that we did earlier for Any ideas for slashing the search speed nearly 10 fold? |
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Ways to improve fuzzy search speed on larger data sets? 512996469 |
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