this post was submitted on 26 Jul 2023
18 points (90.9% liked)
Programming
17663 readers
311 users here now
Welcome to the main community in programming.dev! Feel free to post anything relating to programming here!
Cross posting is strongly encouraged in the instance. If you feel your post or another person's post makes sense in another community cross post into it.
Hope you enjoy the instance!
Rules
Rules
- Follow the programming.dev instance rules
- Keep content related to programming in some way
- If you're posting long videos try to add in some form of tldr for those who don't want to watch videos
Wormhole
Follow the wormhole through a path of communities [email protected]
founded 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
This is correct. The biggest implication of that difference is that, when you filter rows via a HAVING clause, the query will first select all the rows and aggregate them, and only then begin to filter them. That can be a massive performance hit if you thought that the filter would prevent filtered rows from ever being selected. Of course this makes perfect sense, there's no logical way to filter an aggregate without first aggregating, but it's not obvious.
My main point is that PRQL makes no distinction. If you didn't inspect that SQL output and already know about the difference between WHERE and HAVING, you would have no idea, because in PRQL they're both just "filter". Hence, PRQL is not simplifying the complexity (you still need to learn the full SQL syntax and the specifics of how it works), but it does obscure (you have no hints that one of your filter statements will behave completely differently from the other).
As far as removing arbitrary SQL features, I agree that that is it's main advantage. However, I think either the developers or else the users of PRQL will discover that far fewer of SQL's complexities are arbitrary than you might first assume.
Hmm, I have to disagree here. PRQL has no distinction in keyword, but it does have a distinction in where the filter goes relative to the aggregation. Given that the literal distinction being made is whether the filter happens before or after the aggregation, PRQL's position-based distinction seems a lot clearer than SQL's keyword-based distinction. Instead seeing two different keywords, remembering that one happens before the aggregation and the other after, then deducing the performance impacts from that, you just immediately see that one comes before the aggregation and the other after then deduce the performance impacts.
That's fair, I was just thinking of things that frustrate me with SQL, but I admittedly haven't thought too hard about why things are that way.