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Automated Physical Database Design and Tuning (Emerging Directions in Database Systems and Applications)

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Relational database systems have evolved significantly since their inception over 30 years ago. New applications are now more complex than ever, and tuning a production system for performance has become a critical yet time-consuming activity. Due to the increasing complexity in both application workloads and query engines, even experienced database administrators (or DBAs) cannot fully understand the ramifications of tuning decisions throughout the whole system. As a consequence, the industry began providing automated tuning tools that systematically explore the space of alternatives and guide DBAs. A critical element of such tuning is physical database design, because the choice of physical structures—such as indexes—has a significant impact on the performance of the database system. In this book we present a detailed overview of the fundamental ideas and algorithms to automatically recommend changes to the physical design of a database system.
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