issues: 1243151184
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| id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at | closed_at | author_association | pull_request | body | repo | type | active_lock_reason | performed_via_github_app | reactions | draft | state_reason |
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| 1243151184 | I_kwDOCGYnMM5KGPtQ | 434 | `detect_fts()` identifies the wrong table if tables have names that are subsets of each other | 559711 | closed | 0 | 3 | 2022-05-20T13:28:31Z | 2022-06-14T23:24:09Z | 2022-06-14T23:24:09Z | NONE | Windows 10 Python 3.9.6 When I was running a full text search through the Python library, I noticed that the query was being run on a different full text search table than the one I was trying to search. I took a look at the following function and noticed:
My database contains tables with similar names and %{table}% was matching another table that ended differently in its name. I have included a sample test that shows this occurring: I search for Marsupials in db["books"] and The Clue of the Broken Blade is returned. This occurs since the search for Marsupials was "successfully" done against db["booksb"] and rowid 1 is returned. "The Clue of the Broken Blade" has a rowid of 1 in db["books"] and this is what is returned from the search. ```python def test_fts_search_with_similar_table_names(fresh_db): db = Database(memory=True) db["books"].insert_all( [ { "title": "The Clue of the Broken Blade", "author": "Franklin W. Dixon", }, { "title": "Habits of Australian Marsupials", "author": "Marlee Hawkins", }, ] ) db["booksb"].insert( { "title": "Habits of Australian Marsupials", "author": "Marlee Hawkins", } )
``` |
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