<p><em>Expert T-SQL Window Functions in SQL Server</em> takes you from any level of knowledge of windowing functions and turns you into an expert who can use these powerful functions to solve many T-SQL queries. Replace slow cursors and self-joins with queries that are easy to write and fantasticall
Expert T-SQL Window Functions in SQL Server
โ Scribed by Kathi Kellenberger, Clayton Groom (auth.)
- Publisher
- Apress
- Year
- 2015
- Tongue
- English
- Leaves
- 140
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Expert T-SQL Window Functions in SQL Server takes you from any level of knowledge of windowing functions and turns you into an expert who can use these powerful functions to solve many T-SQL queries. Replace slow cursors and self-joins with queries that are easy to write and fantastically better performing, all through the magic of window functions.
First introduced in SQL Server 2005, window functions came into full blossom with SQL Server 2012. They truly are one of the most notable developments in SQL in a decade, and every developer and DBA can benefit from their expressive power in solving day-to-day business problems. Begin using windowing functions like ROW_NUMBER and LAG, and you will discover more ways to use them every day. You will approach SQL Server queries in a different way, thinking about sets of data instead of individual rows. Your queries will run faster, they will be easier to write, and they will be easier to deconstruct and maintain and enhance in the future.
Just knowing and using these functions is not enough. You also need to understand how to tune the queries. Expert T-SQL Window Functions in SQL Server explains clearly how to get the best performance. The book also covers the rare cases when older techniques are the best bet. Stop using cursors and self-joins to solve complicated queries. Become a T-SQL expert by mastering windowing functions.
- Teaches you how to use all the window functions introduced in 2005 and 2012.
- Provides real-world examples that you can experiment with in your own database.
- Explains how to get the best performance when using windowing functions.
โฆ Table of Contents
Front Matter....Pages i-xvii
Looking Through the Window....Pages 1-16
Discovering Ranking Functions....Pages 17-31
Summarizing with Window Aggregates....Pages 33-45
Tuning for Better Performance....Pages 47-60
Calculating Running and Moving Aggregates....Pages 61-70
Adding Frames to the Window....Pages 71-81
Taking a Peek at Another Row....Pages 83-95
Understanding Statistical Functions....Pages 97-106
Time Range Calculations and Trends....Pages 107-127
Back Matter....Pages 129-131
โฆ Subjects
Database Management; Programming Languages, Compilers, Interpreters
๐ SIMILAR VOLUMES
Expert T-SQL Window Functions in SQL Server takes you from any level of knowledge of windowing functions and turns you into an expert who can use these powerful functions to solve many T-SQL queries. Replace slow cursors and self-joins with queries that are easy to write and fantastically better per
Become an expert who can use window functions to solve T-SQL query problems. Replace slow cursors and self-joins with queries that are easy to write and perform better. This new edition provides expanded examples, including a chapter from the world of sports, and covers the latest performance enhanc
Become an expert who can use window functions to solve T-SQL query problems. Replace slow cursors and self-joins with queries that are easy to write and perform better. This new edition provides expanded examples, including a chapter from the world of sports, and covers the latest performance enhanc
<p>Become an expert who can use window functions to solve T-SQL query problems. Replace slow cursors and self-joins with queries that are easy to write and perform better. This new edition provides expanded examples, including a chapter from the world of sports, and covers the latest performance enh
1. Looking through the Window -- 2. Discovering Ranking Functions.-3. Summarizing with Window Aggregates -- 4. Calculating Running and Moving Aggregates -- 5. Adding Frames to the Window -- 6. Taking a Peek at Another Row -- 7. Understanding Statistical Functions -- 8. Tuning for Better Performance