A self-organizing database system monitors relational queries and automatically selects secondary indices to minimize the average query cost. This work explores query optimization, selectivity estimation, and recording query frequencies, offering practical methods and formal analysis.
The book frames a dynamic approach to database tuning. It explains why large systems benefit from automatic restructuring and shows how to balance speed with accuracy across evolving workloads. Readers will see how theory translates into algorithms that adapt to real data and usage patterns.
- Learn how the system analyzes queries to pick index sets that reduce overall cost.
- See methods for estimating how many records satisfy conditions and how often queries occur.
- Explore two algorithms for optimal index selection and their trade-offs.
- Understand how converting queries to CNF helps compute efficient evaluation plans.
Ideal for readers of database research and practitioners seeking automatic, data-driven tuning in large relational systems.
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This book was originally published prior to 1923, and represents a reproduction of an important historical work, maintaining the same format as the original work. While some publishers have opted to apply OCR (optical character recognition) technology to the process, we believe this leads to sub-optimal results (frequent typographical errors, strange characters and confusing formatting) and does not adequately preserve the historical character of the original artifact. We believe this work is culturally important in its original archival form. While we strive to adequately clean and digitally enhance the original work, there are occasionally instances where imperfections such as blurred or missing pages, poor pictures or errant marks may have been introduced due to either the quality of the original work or the scanning process itself. Despite these occasional imperfections, we have brought it back into print as part of our ongoing global book preservation commitment, providing customers with access to the best possible historical reprints. We appreciate your understanding of these occasional imperfections, and sincerely hope you enjoy seeing the book in a format as close as possible to that intended by the original publisher.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : Forgotten Books, London, Royaume-Uni
Paperback. Etat : New. Print on Demand. This book explores the emerging field of self-organizing database systems. In a world of rapidly growing, complex databases, the author proposes a novel approach that takes database management systems out of the realm of manual maintenance and into automated self-improvement. Through the application of advanced mathematical formulas, this book enables databases to evolve, improving their own efficiency and effectiveness over time. The insights gained from this new approach have the potential to revolutionize the field of database management, opening up new possibilities for data storage, management, and analysis. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item. N° de réf. du vendeur 9781333453138_0
Quantité disponible : Plus de 20 disponibles
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur LW-9781333453138
Quantité disponible : 15 disponible(s)
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur LW-9781333453138
Quantité disponible : 15 disponible(s)