S-Store

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S-Store: Streaming Meets Transaction Processing

Stream processing addresses the needs of real-time applications. Transaction processing addresses the coordination and safety of short atomic computations. Heretofore, these two modes of operation existed in separate, stove-piped systems. In this work, we attempt to fuse the two computational paradigms in a single system called S-Store. In this way, S-Store can simultaneously accommodate OLTP a...

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In this paper, I describe multiple aspects that are closely related to the release of S-Store system, including dockerized S-Store system, new benchmark MIMIC2BigDAWG, dockerization of the integrated streaming processing system, verification of new S-Store scheduler and collection of stored procedures statistics. Although many other indispensable works are also finished for the final release, t...

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First-generation streaming systems did not pay much attention to state management via ACID transactions (e.g., [3, 4]). S-Store is a data management system that combines OLTP transactions with stream processing. To create S-Store, we begin with H-Store, a main-memory transaction processing engine, and add primitives to support streaming. This includes triggers and transaction workflows to imple...

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ژورنال

عنوان ژورنال: Proceedings of the VLDB Endowment

سال: 2014

ISSN: 2150-8097

DOI: 10.14778/2733004.2733048