E-Book, Englisch, 253 Seiten
ISBN: 978-1-4398-1568-7
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
The first part of the book introduces the necessary technical background. The author explains SQL, the space of execution plans for answering SQL queries, query optimization, how the choice of access paths (e.g., indexes) is crucial to performance, and the complexity of the physical design problem.
The second part extensively discusses automated physical design techniques, covering fundamental research ideas in the last 15 years that have resulted in a new generation of tuning tools. The text focuses on the search space of alternatives, the necessity of a cost model to compare such alternatives, different mechanisms to traverse and enumerate the search space, and practical aspects in real-world tuning tools.
In the third part, the author explores new advances in automated physical design. He applies previous approaches to other physical structures, such as materialized views, partitioning, and multidimensional clustering. He also analyzes workload models for new types of applications, generalizes the optimizing function of current physical design tools to cope with other application scenarios, and examines open-ended challenges in physical database design.
This book offers valuable insights on well-established principles and cutting-edge research results in automated physical design. It helps readers gain a deeper understanding of how automated tuning tools work in database installations as well as the challenges and opportunities involved in designing next-generation tuning tools.
Zielgruppe
Database systems professionals, researchers, and administrators; graduate students in computer science; practitioners and advanced database administrators and developers.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
BACKGROUND
Declarative Query Processing in Relational Database Systems
An Exercise in Imperative Programming
SQL: Declarative Query Processing
Processing SQL Queries
Query Optimization in Relational Database Systems
Search Space
Cost Model
Enumeration Strategy
Physical Database Design
The Complexity of the Physical Design Problem
Toward Automated Physical Design
AUTOMATED PHYSICAL DATABASE DESIGN
Characterizing the Search Space
Candidate Indexes for a Single SELECT Query
Candidate Set for a Workload
Defining the Search Space Using Closures
Designing a Cost Model
What-If Optimization
Reducing the Overhead of What-If Optimization Calls
Index Usage Model (INUM)
Configuration-Parametric Query Optimization (CPQO)
Enumerating the Search Space
Bottom-Up Enumeration
Top-Down Enumeration
Practical Aspects in Physical Database Design
Workload Gathering
Workload Compression
Tuning Modes
Time-Bound Tuning
Production/Test Tuning
Reports
Deployment Scripts
A Case Study: Database Engine Tuning Advisor
ADVANCED TOPICS
Handling Materialized Views
Materialized View Definition Language
Search Space
Cost Model
Enumeration Strategies
Incorporating Other Physical Structures
Data Partitioning
Data Cube Selection
Multidimensional Clustering
Extensible Physical Design
Continuous Physical Database Design
An Alerting Mechanism
Continuous Physical Design Tuning
Constrained Physical Database Design
Constraint Language
Search Framework
Examples of Tuning Sessions with Constraints
New Challenges in Physical Database Design
Leveraging Richer Workloads
Other Aspects of Physical Database Design
Interactive Physical Design Tuning
Physical Database Design Benchmarks
Index
A Summary, Additional Reading, and References appear at the end of each chapter.
