Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 60 tok/s
Gemini 2.5 Pro 40 tok/s Pro
GPT-5 Medium 27 tok/s Pro
GPT-5 High 28 tok/s Pro
GPT-4o 87 tok/s Pro
Kimi K2 190 tok/s Pro
GPT OSS 120B 457 tok/s Pro
Claude Sonnet 4.5 34 tok/s Pro
2000 character limit reached

Safe Subjoins in Acyclic Joins (2208.09671v1)

Published 20 Aug 2022 in cs.DB

Abstract: It is expensive to compute joins, often due to large intermediate relations. For acyclic joins, monotone join expressions are guaranteed to produce intermediate relations not larger than the size of the output of the join when it is computed on a fully reduced database. Any subexpression of an acyclic join does not offer this guarantee, as it is easy to prove. In this paper, we consider joins with projections too and we ask the question whether we can characterize join subexpressions that produce, on every fully reduced database, an output without dangling tuples (which translates, in the case of joins without projections, to an output of size not larger than the size of the output of the join). We call such a subexpression a safe subjoin. Surprisingly, we prove that there is a simple characterization which is the following: A subjoin is safe if and only if there is a parse tree of the join (a.k.a. join tree) such that the relations in the subjoin form a subtree of it. We provide an algorithm that finds such a parse tree, if there is one.

Summary

We haven't generated a summary for this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (1)

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube