Execution of Recursive Queries in Apache Spark

Katsogridakis, Pavlos; Papagiannaki, Sofia; Pratikakis, Polyvios

doi:10.1007/978-3-319-64203-1_21

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B Optimizations In Distributed Data Management Framework1

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2023

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Cited by 6 publications

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“…Spark [3] and Flink [4] were introduced to improve upon these systems and became prevalent for large scale and dataparallel computations. Work in [36] proposes a technique that improves Spark task scheduling and thus performance for iterative applications. This system-level optimization is transparent for Spark applications and thus Dist-µ-RA can directly benefit from it.…”

Section: B Optimizations In Distributed Data Management Frameworkmentioning

confidence: 99%

Distributed Evaluation of Graph Queries using Recursive Relational Algebra

Chlyah¹,

Genevès²,

Layaïda³

2021

Preprint

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We present a system called Dist-µ-RA for the distributed evaluation of recursive graph queries. Dist-µ-RA builds on the recursive relational algebra and extends it with evaluation plans suited for the distributed setting. The goal is to offer expressivity for high-level queries while providing efficiency at scale and reducing communication costs. Experimental results on both real and synthetic graphs show the effectiveness of the proposed approach compared to existing systems.

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Section: B Optimizations In Distributed Data Management Frameworkmentioning

confidence: 99%