T-SQL Window Functions: For data analysis and beyond (2nd Edition) (Developer Reference)
Authors: Itzik Ben-Gan
ISBN-10: 0135861446
ISBN-13: 9780135861448
Edition 版次: 2
Publication Date 出版日期: 2019-11-14
Print Length 页数: 352 pages
Book Description
By finelybook
Use window functions to write simpler,better,more efficient T-SQL queries
Most T-SQL developers recognize the value of window functions for data analysis calculations. But they can do far more,and recent optimizations make them even more powerful. In T-SQL Window Functions,renowned T-SQL expert Itzik Ben-Gan introduces breakthrough techniques for using them to handle many common T-SQL querying tasks with unprecedented elegance and power. Using extensive code examples,he guides you through window aggregate,ranking,distribution,offset,and ordered set functions. You’ll find a detailed section on optimization,plus an extensive collection of business solutions — including novel techniques available in no other book.
Microsoft MVP Itzik Ben-Gan shows how to:
Use window functions to improve queries you previously built with predicates
Master essential SQL windowing concepts,and efficiently design window functions
Effectively utilize partitioning,ordering,and framing
Gain practical in-depth insight into window aggregate,ranking,offset,and statistical functions
Understand how the SQL standard supports ordered set functions,and find working solutions for functions not yet available in the language
Preview advanced Row Pattern Recognition (RPR) data analysis techniques
Optimize window functions in SQL Server and Azure SQL Database,making the most of indexing,parallelism,and more
Discover a full library of window function solutions for common business problems
About This Book
For developers,DBAs,data analysts,data scientists,BI professionals,and power users familiar with T-SQL queries
Addresses any edition of the SQL Server 2019 database engine or later,as well as Azure SQL Database
Introduction
Chapter 1.SQL Windowing
Chapter 2.A Detailed Look at Window Functions
Chapter 3.Ordered Set Functions
Chapter 4.Row-Pattern Recognition in SQL
Chapter 5.Optimization of Window Functions
Chapter 6.T-SQL Solutions Using Window Functions
Index
Code Snippets
