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
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

https://github.com/simonw/sqlite-utils/blob/841ad44bacaff05ec79ef78166d12e80c82ba6d7/sqlite_utils/db.py#L2213

and noticed:

```python
sql LIKE '%VIRTUAL TABLE%USING FTS%content=%{table}%'
```

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"",
        }
    )

    db[""booksb""].enable_fts([""title"", ""author""])
    db[""books""].enable_fts([""title"", ""author""])


    query = ""Marsupials""

    assert [
            {   ""rowid"": 1,
                ""title"": ""Habits of Australian Marsupials"",
                ""author"": ""Marlee Hawkins"",
            },
        ] == list(db[""books""].search(query))
```

",140912432,issue,,,"{""url"": ""https://api.github.com/repos/simonw/sqlite-utils/issues/434/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed
434321685,MDExOlB1bGxSZXF1ZXN0MjcxMzM4NDA1,434,"""datasette publish cloudrun"" command to publish to Google Cloud Run",10352819,closed,0,,,8,2019-04-17T14:41:18Z,2019-05-03T21:50:44Z,2019-05-03T13:59:02Z,CONTRIBUTOR,simonw/datasette/pulls/434,"This is a very rough draft to start a discussion on a possible datasette cloud run publish plugin (see issue #400).

The main change was to dynamically set the listening port in `make_dockerfile` to satisfy cloud run's [requirements](https://cloud.google.com/run/docs/reference/container-contract).

This was done by running `datasette` through `sh` to get environment variable substitution. Not sure if that's the right approach?
",107914493,pull,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/434/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",0,