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Main Authors: Chen, Hubie, Schneider, Markus
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2412.13104
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author Chen, Hubie
Schneider, Markus
author_facet Chen, Hubie
Schneider, Markus
contents We study the problem of statically optimizing select-project-join-union (SPJU) plans where unary key constraints are allowed. A natural measure of a plan, which we call the output degree and which has been studied previously, is the minimum degree of a polynomial bounding the plan's output relation, as a function of the input database's maximum relation size. This measure is, by definition, invariant under passing from a plan to another plan that is semantically equivalent to the first. In this article, we consider a plan measure which we call the intermediate degree; this measure is defined to be the minimum degree of a polynomial bounding the size of all intermediate relations computed during a plan's execution -- again, as a function of the input database's maximum relation size. We present an algorithm that, given an SPJU plan $p$ and a set $Σ$ of unary keys, computes an SPJU plan $p'$ that is semantically equivalent to $p$ (over databases satisfying $Σ$) and that has the minimum intermediate degree over all such semantically equivalent plans. For the types of plans considered, we thus obtain a complete and effective understanding of intermediate degree.
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spellingShingle Intermediate Relation Size Bounds for Select-Project-Join-Union Query Plans
Chen, Hubie
Schneider, Markus
Databases
We study the problem of statically optimizing select-project-join-union (SPJU) plans where unary key constraints are allowed. A natural measure of a plan, which we call the output degree and which has been studied previously, is the minimum degree of a polynomial bounding the plan's output relation, as a function of the input database's maximum relation size. This measure is, by definition, invariant under passing from a plan to another plan that is semantically equivalent to the first. In this article, we consider a plan measure which we call the intermediate degree; this measure is defined to be the minimum degree of a polynomial bounding the size of all intermediate relations computed during a plan's execution -- again, as a function of the input database's maximum relation size. We present an algorithm that, given an SPJU plan $p$ and a set $Σ$ of unary keys, computes an SPJU plan $p'$ that is semantically equivalent to $p$ (over databases satisfying $Σ$) and that has the minimum intermediate degree over all such semantically equivalent plans. For the types of plans considered, we thus obtain a complete and effective understanding of intermediate degree.
title Intermediate Relation Size Bounds for Select-Project-Join-Union Query Plans
topic Databases
url https://arxiv.org/abs/2412.13104