issue_comments: 549168834

Consider https://latest.datasette.io/fixtures/facetable

With ?_join=city_id the underlying query would become this:

select facetable.pk as 'facetable.pk', facetable.created as 'facetable.created', facetable.planet_int as 'facetable.planet_int', facetable.on_earth as 'facetable.on_earth', facetable.state as 'facetable.state', facetable.city_id as 'facetable.city_id', facetable.neighborhood as 'facetable.neighborhood', facetable.tags as 'facetable.tags', facetable.complex_array as 'facetable.complex_array', facet_cities.id as 'facet_cities.id', facet_cities.name as 'facet_cities.name' from facetable join facet_cities on facetable.city_id = facet_cities.id https://latest.datasette.io/fixtures?sql=select%0D%0A++facetable.pk+as+%27facetable.pk%27%2C%0D%0A++facetable.created+as+%27facetable.created%27%2C%0D%0A++facetable.planet_int+as+%27facetable.planet_int%27%2C%0D%0A++facetable.on_earth+as+%27facetable.on_earth%27%2C%0D%0A++facetable.state+as+%27facetable.state%27%2C%0D%0A++facetable.city_id+as+%27facetable.city_id%27%2C%0D%0A++facetable.neighborhood+as+%27facetable.neighborhood%27%2C%0D%0A++facetable.tags+as+%27facetable.tags%27%2C%0D%0A++facetable.complex_array+as+%27facetable.complex_array%27%2C%0D%0A++facet_cities.id+as+%27facet_cities.id%27%2C%0D%0A++facet_cities.name+as+%27facet_cities.name%27%0D%0Afrom%0D%0A++facetable%0D%0A++join+facet_cities+on+facetable.city_id+%3D+facet_cities.id

I'm using select foo.bar as 'foo.bar' here to ensure that every column has an unambiguous name, to avoid any weirdness from joining against a table where both tables have a 'name' column.