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Computer Science > Databases

arXiv:2208.09827 (cs)
[Submitted on 21 Aug 2022 (v1), last revised 1 Jun 2023 (this version, v2)]

Title:A Survey on Transactional Stream Processing

Authors:Shuhao Zhang, Juan Soto, Volker Markl
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Abstract: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.
Subjects: Databases (cs.DB); Distributed, Parallel, and Cluster Computing (cs.DC)
ACM classes: H.2.4; A.1
Cite as: arXiv:2208.09827 [cs.DB]
  (or arXiv:2208.09827v2 [cs.DB] for this version)
  https://doi.org/10.48550/arXiv.2208.09827
Journal reference: The VLDB Journal 33, 451- 479 (2024)
Related DOI: https://doi.org/10.1007/s00778-023-00814-z

Submission history

From: Shuhao Zhang [view email]
[v1] Sun, 21 Aug 2022 07:34:09 UTC (553 KB)
[v2] Thu, 1 Jun 2023 02:06:12 UTC (382 KB)
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