A Survey on Transactional Stream Processing

Fuente: arXiv
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Main Authors: Zhang, Shuhao, Soto, Juan, Markl, Volker
Format: Preprint
Published: 2022
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author Zhang, Shuhao
Soto, Juan
Markl, Volker
author_facet Zhang, Shuhao
Soto, Juan
Markl, Volker
contents Transactional stream processing (TSP) strives to create a cohesive model that merges the advantages of both transactional and stream-oriented guarantees. Over the past decade, numerous endeavors have contributed to the evolution of TSP solutions, uncovering similarities and distinctions among them. Despite these advances, a universally accepted standard approach for integrating transactional functionality with stream processing remains to be established. Existing TSP solutions predominantly concentrate on specific application characteristics and involve complex design trade-offs. This survey intends to introduce TSP and present our perspective on its future progression. Our primary goals are twofold: to provide insights into the diverse TSP requirements and methodologies, and to inspire the design and development of groundbreaking TSP systems.
format Preprint
id arxiv_https___arxiv_org_abs_2208_09827
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle A Survey on Transactional Stream Processing
Zhang, Shuhao
Soto, Juan
Markl, Volker
Databases
Distributed, Parallel, and Cluster Computing
H.2.4; A.1
Transactional stream processing (TSP) strives to create a cohesive model that merges the advantages of both transactional and stream-oriented guarantees. Over the past decade, numerous endeavors have contributed to the evolution of TSP solutions, uncovering similarities and distinctions among them. Despite these advances, a universally accepted standard approach for integrating transactional functionality with stream processing remains to be established. Existing TSP solutions predominantly concentrate on specific application characteristics and involve complex design trade-offs. This survey intends to introduce TSP and present our perspective on its future progression. Our primary goals are twofold: to provide insights into the diverse TSP requirements and methodologies, and to inspire the design and development of groundbreaking TSP systems.
title A Survey on Transactional Stream Processing
topic Databases
Distributed, Parallel, and Cluster Computing
H.2.4; A.1
url https://arxiv.org/abs/2208.09827