> In contrast, Prela can be implemented extremely close to the metal. The Rust implementation inlines operators and compiles them into tight fused loops over raw arrays, running several times faster than DuckDB even without a query optimizer.
This will be true in Common Lisp as well. Now someone just have to implement it.
Or maybe I should steal the syntax and compile to SQL first, just so people can use existing DBMS.
1. do both systems access everything from memory?
2. do both systems have the same kind of indices?
3. do either system tradeoff scan performance for faster/acceptably fast updates?
2. No. Prela’s speedup is large due to indexing. We tried to port the same indexing tricks back to duckdb but it wouldn’t let us. See the paper [1] for details
3. Prela focuses on analytical queries at least for now
Yes, I could ask my local AI, I'm just curious if anyone here's wondering the same thing.
Think on this: You imagine yourself writing a regular website with ONLy sql? no, because SQL is not a "programming language" for developers.
Is possible you could think in various ideas about why is "nonsensical" to make an app with a relational language (that SQL clearly is not) but is the same as with OOP or functional: there is not reason to be a problem, and there is a lot of things that will be far easier if a proper relational language is used, like for example, is unnecessary and ORM and/or is not complicated and confusing to make one.
Before I started working a lot with SQL, ORMs fit my mental model better since I was more used to imperative programming languages and I thought they were easier to work with.
Now that I am very comfortable with SQL, I have to translate an ORM into the SQL that it would produce. So now they just add another step in between me and the data
thinking of LLM usage... it's so close to how LLMs think anyway, vector similarity also being a binary relation. LLM stops blindly guessing SQL and instead starts navigating data straight away.
I found it helpful to read it first and then go back to the article. (On my initial reading I was like, "okay, but what is a Rel?")
https://github.com/remysucre/prela/blob/main/tutorial/prela....
Shameless plug: https://github.com/baverman/sqlbind-t
prathje•55m ago
I disagree though with the statement of SQL needing 20 lines. The given query feels verbose and has lots of redundant conditions. Not saying that it is short but a better analogy could look like this:
SELECT DISTINCT an.name, t.title
FROM keyword k
JOIN movie_keyword mk ON mk.keyword_id = k.id
JOIN title t ON t.id = mk.movie_id
JOIN movie_companies mc ON mc.movie_id = t.id
JOIN company_name cn ON cn.id = mc.company_id
JOIN cast_info ci ON ci.movie_id = t.id
JOIN aka_name an ON an.person_id = ci.person_id
WHERE k.keyword = 'character-name-in-title' AND cn.country_code = '[us]';