{"html_url": "https://github.com/simonw/datasette/issues/268#issuecomment-789409126", "issue_url": "https://api.github.com/repos/simonw/datasette/issues/268", "id": 789409126, "node_id": "MDEyOklzc3VlQ29tbWVudDc4OTQwOTEyNg==", "user": {"value": 649467, "label": "mhalle"}, "created_at": "2021-03-03T03:57:15Z", "updated_at": "2021-03-03T03:58:40Z", "author_association": "NONE", "body": "In FTS5, I think doing an FTS search is actually much easier than doing a join against the main table like datasette does now. In fact, FTS5 external content tables provide a transparent interface back to the original table or view.\r\n\r\nHere's what I'm currently doing:\r\n* build a view that joins whatever tables I want and rename the columns to non-joiny names (e.g, `chapter.name AS chapter_name` in the view where needed)\r\n* Create an FTS5 table with `content=\"viewname\"`\r\n* As described in the \"external content tables\" section (https://www.sqlite.org/fts5.html#external_content_tables), sql queries can be made directly to the FTS table, which behind the covers makes select calls to the content table when the content of the original columns are needed.\r\n* In addition, you get \"rank\" and \"bm25()\" available to you when you select on the _fts table.\r\n\r\nUnfortunately, datasette doesn't currently seem happy being coerced into doing a real query on an fts5 table.  This works:\r\n```select col1, col2, col3 from table_fts where coll1=\"value\" and table_fts match escape_fts(\"search term\") order by rank```\r\n\r\nBut this doesn't work in the datasette SQL query interface:\r\n```select col1, col2, col3 from table_fts where coll1=\"value\" and table_fts match escape_fts(:search) order by rank```   (the \"search\" input text field doesn't show up)\r\n\r\nFor what datasette is doing right now, I think you could just use contentless fts5 tables (`content=\"\"`), since all you care about is the rowid since all you're doing a subselect to get the rowid anyway. In fts5, that's just a contentless table.\r\n\r\nI guess if you want to follow this suggestion, you'd need a somewhat different code path for fts5.\r\n\r\n", "reactions": "{\"total_count\": 0, \"+1\": 0, \"-1\": 0, \"laugh\": 0, \"hooray\": 0, \"confused\": 0, \"heart\": 0, \"rocket\": 0, \"eyes\": 0}", "issue": {"value": 323718842, "label": "Mechanism for ranking results from SQLite full-text search"}, "performed_via_github_app": null}
{"html_url": "https://github.com/simonw/datasette/issues/283#issuecomment-789680230", "issue_url": "https://api.github.com/repos/simonw/datasette/issues/283", "id": 789680230, "node_id": "MDEyOklzc3VlQ29tbWVudDc4OTY4MDIzMA==", "user": {"value": 605492, "label": "justinpinkney"}, "created_at": "2021-03-03T12:28:42Z", "updated_at": "2021-03-03T12:28:42Z", "author_association": "NONE", "body": "One note on using this pragma I got an error on starting datasette `no such table: pragma_database_list`. \r\n\r\nI diagnosed this to an older version of sqlite3 (3.14.2) and upgrading to a newer version (3.34.2) fixed the issue.", "reactions": "{\"total_count\": 0, \"+1\": 0, \"-1\": 0, \"laugh\": 0, \"hooray\": 0, \"confused\": 0, \"heart\": 0, \"rocket\": 0, \"eyes\": 0}", "issue": {"value": 325958506, "label": "Support cross-database joins"}, "performed_via_github_app": null}