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arXiv · 1203.0056

SharedDB: Killing One Thousand Queries With One Stone

Georgios Giannikis·Gustavo Alonso·Donald Kossmann
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Abstract

Traditional database systems are built around the query-at-a-time model. This approach tries to optimize performance in a best-effort way. Unfortunately, best effort is not good enough for many modern applications. These applications require response time guarantees in high load situations. This paper describes the design of a new database architecture that is based on batching queries and shared computation across possibly hundreds of concurrent queries and updates. Performance experiments with the TPC-W benchmark show that the performance of our implementation, SharedDB, is indeed robust across a wide range of dynamic workloads.

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Georgios Giannikis, Gustavo Alonso, Donald Kossmann. 2012-03-01. SharedDB: Killing One Thousand Queries With One Stone. https://arxiv.org/abs/1203.0056

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