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SIGMOD
2012
ACM

Skew-aware automatic database partitioning in shared-nothing, parallel OLTP systems

8 years 2 months ago
Skew-aware automatic database partitioning in shared-nothing, parallel OLTP systems
The advent of affordable, shared-nothing computing systems portends a new class of parallel database management systems (DBMS) for on-line transaction processing (OLTP) applications that scale without sacrificing ACID guarantees [7, 9]. The performance of these DBMSs is predicated on the existence of an optimal database design that is tailored for the unique characteristics of OLTP workloads [43]. Deriving such designs for modern DBMSs is difficult, especially for enterprise-class OLTP systems, since they impose extra challenges: the use of stored procedures, the need for load balancing in the presence of time-varying skew, complex schemas, and deployments with larger number of partitions. To this purpose, we present a novel approach to automatically partitioning databases for enterprise-class OLTP systems that significantly extends the state of the art by: (1) minimizing the number distributed transactions, while concurrently mitigating the effects of temporal skew in both the dat...
Andrew Pavlo, Carlo Curino, Stanley B. Zdonik
Added 27 Sep 2012
Updated 27 Sep 2012
Type Journal
Year 2012
Where SIGMOD
Authors Andrew Pavlo, Carlo Curino, Stanley B. Zdonik
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