issue_comments: 504793988
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html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
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https://github.com/simonw/datasette/issues/498#issuecomment-504793988 | https://api.github.com/repos/simonw/datasette/issues/498 | 504793988 | MDEyOklzc3VlQ29tbWVudDUwNDc5Mzk4OA== | 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. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | 451513541 |