I’m pretty excited about PRQL. If anything has a shot at replacing SQL, it’s something like this (taken from their FAQ):
PRQL is open. It’s not designed for a specific database. PRQL will always be fully open-source. There will never be a commercial product.
There’s a long road ahead of it to get serious about replacing SQL. Many places won’t touch it until there’s an ANSI standard and all that. But something built with those goals in mind actually might just do it.
I’m too lazy to convert that by hand, but here’s what chatgpt converted that to for SQL, for the sake of discussion:
SELECT a.id, a.artist_name -- or whatever the name column is in the 'artists' table FROM artists a JOIN albums al ON a.id = al.artist_id JOIN nominations n ON al.id = n.album_id -- assuming nominations are for albums WHERE al.release_date BETWEEN '1990-01-01' AND '1999-12-31' AND n.award = 'MTV' -- assuming there's a column that specifies the award name AND n.won = FALSE GROUP BY a.id, a.artist_name -- or whatever the name column is in the 'artists' table ORDER BY COUNT(DISTINCT n.id) DESC, a.artist_name -- ordering by the number of nominations, then by artist name LIMIT 10;
I like Django’s ORM just fine, but that SQL isn’t too bad (it’s also slightly different than your version though, but works fine as an example). I also like PyPika sometimes for building queries when I’m not using Django or SQLAlchemy, and here’s that version:
q = ( Query .from_(artists) .join(albums).on(artists.id == albums.artist_id) .join(nominations).on(albums.id == nominations.album_id) .select(artists.id, artists.artist_name) # assuming the column is named artist_name .where(albums.release_date.between('1990-01-01', '1999-12-31')) .where(nominations.award == 'MTV') .where(nominations.won == False) .groupby(artists.id, artists.artist_name) .orderby(fn.Count(nominations.id).desc(), artists.artist_name) .limit(10) )
I think PyPika answers your concerns about
It’s just regular Python code, same as the Django ORM.