Optimizing Navigational Graph Queries

Fuente: arXiv
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Auteurs principaux: Mulder, Thomas, Fletcher, George, Yakovets, Nikolay
Format: Preprint
Publié: 2024
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author Mulder, Thomas
Fletcher, George
Yakovets, Nikolay
author_facet Mulder, Thomas
Fletcher, George
Yakovets, Nikolay
contents We study the optimization of navigational graph queries, i.e., queries which combine recursive and pattern-matching fragments. Current approaches to their evaluation are not effective in practice. Towards addressing this, we present a number of novel powerful optimization techniques which aim to constrain the intermediate results during query evaluation. We show how these techniques can be planned effectively and executed efficiently towards the first practical evaluation solution for complex navigational queries on real-world workloads. Indeed, our experimental results show several orders of magnitude improvement in query evaluation performance over state-of-the-art techniques on a wide range of queries on diverse datasets.
format Preprint
id arxiv_https___arxiv_org_abs_2406_05417
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Optimizing Navigational Graph Queries
Mulder, Thomas
Fletcher, George
Yakovets, Nikolay
Databases
H.2.4
We study the optimization of navigational graph queries, i.e., queries which combine recursive and pattern-matching fragments. Current approaches to their evaluation are not effective in practice. Towards addressing this, we present a number of novel powerful optimization techniques which aim to constrain the intermediate results during query evaluation. We show how these techniques can be planned effectively and executed efficiently towards the first practical evaluation solution for complex navigational queries on real-world workloads. Indeed, our experimental results show several orders of magnitude improvement in query evaluation performance over state-of-the-art techniques on a wide range of queries on diverse datasets.
title Optimizing Navigational Graph Queries
topic Databases
H.2.4
url https://arxiv.org/abs/2406.05417