Physical Database Design: The Database Professional's Guide to Exploiting Indexes, Views, Storage, and More
暫譯: 實體資料庫設計:資料庫專業人士利用索引、視圖、儲存等的指南
Sam S. Lightstone, Toby J. Teorey, Tom Nadeau
- 出版商: Morgan Kaufmann
- 出版日期: 2007-03-21
- 售價: $1,045
- 語言: 英文
- 頁數: 448
- 裝訂: Paperback
- ISBN: 0123693896
- ISBN-13: 9780123693891
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相關分類:
資料庫
下單後立即進貨 (約5~7天)
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商品描述
Description
I highly recommend Physical Database Design by Lightstone, Teorey, and Nadeau. The book covers fine aspects of physical design -- issues such as the effects of different approaches to indexes, tradeoffs in materializing views, and details of physical data layout. Unlike other books, it does not focus on a particular product, but instead covers the deep principles that cut across products. The book addresses both transaction intensive applications (OLTP) as well as data warehouses (OLAP). Their new book is a welcome addition to the literature.
--Michael Blaha, OMT Associates, Inc.
This is an excellent book on physical database design, giving pragmatic models and advice. It has a wealth of information for both the student and for the practitioner -- presenting analytic models and practical tips that are demonstrated with examples using Oracle, DB2, and Microsoft SQL Server.
--Jim Gray, Microsoft Research
The rapidly increasing volume of information contained in relational databases places a strain on databases, performance, and maintainability: DBAs are under greater pressure than ever to optimize database structure for system performance and administration.
Physical Database Design discusses the concept of how physical structures of databases affect performance, including specific examples, guidelines, and best and worst practices for a variety of DBMSs and configurations. Something as simple as improving the table index design has a profound impact on performance. Every form of relational database, such as Online Transaction Processing (OLTP), Enterprise Resource Management (ERP), Data Mining (DM), or Management Resource Planning (MRP), can be improved using the methods provided in the book.
Features
• The first complete treatment on physical database design, written by the authors of the seminal, Database Modeling and Design: Logical Design, 4th edition.
• Includes an introduction to the major concepts of physical database design as well as detailed examples, using methodologies and tools most popular for relational databases today: Oracle, DB2 (IBM), and SQL Server (Microsoft).
• Focuses on physical database design for exploiting B+tree indexing, clustered indexes, multidimensional clustering (MDC), range partitioning, shared nothing partitioning, shared disk data placement, materialized views, bitmap indexes, automated design tools, and more!
Table of Contents
1: Introduction to physical database design
2: Basic indexing methods
3: Query optimization and plan selection
4: Selecting indexes
5: Selecting materialized views
6: Shared nothing partitioning
7: Range partitioning
8: Multidimensional clustering
9: The interdependence problem (i.e. design choices)
10: Data sampling in design exploration
11: Access plan selection and physical design
12: Automated physical database design
13: Down to the metal
14: Physical design for Decision Support, Warehousing and OLAP
15: Denormalization
16: Distributed Data Allocation
Appendix A: A Simple Performance Model for Database
商品描述(中文翻譯)
**描述**
我強烈推薦由 Lightstone、Teorey 和 Nadeau 所著的《物理資料庫設計》。這本書涵蓋了物理設計的細微方面——例如不同索引方法的影響、物化視圖的權衡以及物理資料佈局的細節。與其他書籍不同的是,它並不專注於特定產品,而是涵蓋了跨產品的深層原則。這本書同時針對交易密集型應用(OLTP)和資料倉儲(OLAP)。他們的新書是文獻中的一個受歡迎的補充。
--Michael Blaha, OMT Associates, Inc.
這是一本關於物理資料庫設計的優秀書籍,提供了務實的模型和建議。對於學生和實務工作者來說,它擁有豐富的信息——展示了分析模型和實用技巧,並使用 Oracle、DB2 和 Microsoft SQL Server 的範例進行說明。
--Jim Gray, Microsoft Research
隨著關聯資料庫中信息量的迅速增加,對資料庫、性能和可維護性造成了壓力:資料庫管理員(DBA)面臨著前所未有的壓力,需要優化資料庫結構以提升系統性能和管理效率。
《物理資料庫設計》討論了資料庫的物理結構如何影響性能的概念,包括具體範例、指導方針以及各種資料庫管理系統(DBMS)和配置的最佳與最差實踐。改善表索引設計這樣簡單的事情對性能有深遠的影響。每一種關聯資料庫,例如線上交易處理(OLTP)、企業資源管理(ERP)、資料挖掘(DM)或管理資源規劃(MRP),都可以使用書中提供的方法進行改進。
**特點**
• 這是關於物理資料庫設計的第一本完整著作,由《資料庫建模與設計:邏輯設計》第四版的作者撰寫。
• 包含物理資料庫設計的主要概念介紹以及詳細範例,使用當今最受歡迎的關聯資料庫方法論和工具:Oracle、DB2(IBM)和 SQL Server(Microsoft)。
• 專注於利用 B+樹索引、聚集索引、多維聚集(MDC)、範圍分區、無共享分區、共享磁碟資料放置、物化視圖、位圖索引、自動化設計工具等的物理資料庫設計!
**目錄**
1: 物理資料庫設計介紹
2: 基本索引方法
3: 查詢優化與計畫選擇
4: 選擇索引
5: 選擇物化視圖
6: 無共享分區
7: 範圍分區
8: 多維聚集
9: 互依性問題(即設計選擇)
10: 設計探索中的資料取樣
11: 存取計畫選擇與物理設計
12: 自動化物理資料庫設計
13: 直達金屬
14: 決策支持、資料倉儲和 OLAP 的物理設計
15: 非正規化
16: 分散式資料配置
附錄 A: 資料庫的簡單性能模型