✔ Expert T SQL Window Functions in SQL Server 2019: The Hidden VS Refactoring Legacy T SQL for Improved Performance: Modern ✌ 2020
Expert T-SQL Window Functions in SQL Server 2019: The Hidden Secret to Fast Analytic and Reporting Queries vs Refactoring Legacy T-SQL for Improved Performance: Modern Practices for SQL Server Applications 21diagfbohu
Expert T-SQL Window Functions in SQL Server 2019: The Hidden Secret to Fast Analytic and Reporting Queries
Expert T-SQL Window Functions in SQL Server 2019: The Hidden Secret to Fast Analytic and Reporting Queries 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 enhancements through SQL Server 2019.Â
Window functions are useful in analytics and business intelligence reporting. They came into full blossom with SQL Server 2012, yet they are not as well known and used as often as they ought to be. This group of functions is one of the most notable developments in SQL, and this book shows how every developer and DBA can benefit from their expressive power in solving day-to-day business problems. Once you begin using window functions, such as ROW_NUMBER and LAG, you will discover many ways to use them. You will approach SQL Server queries in a different way, thinking about sets of data instead of individual rows. Your queries w ill run faster, be easier to write, and easier to deconstruct, 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 clearly explains how to get the best performance. The book also covers the rare cases when older techniques are the best bet.
What You Will Learn- Solve complex query problems without cumbersome self-joins that run slowly and are difficult to read
- Create sliding windows in a result set for computing such as running totals and moving averages
- Return aggregate and detail data simultaneously from the same SELECT statement
- Compute lag and lead and other values that access data from multiple rows in a result set
- Understand the OVER clause syntax and how to control the window
- A void framing errors that can lead to unexpected results
Who This Book Is ForÂ
Anyone who writes T-SQL queries, including database administrators, developers, business analysts, and data scientists. Before reading this book, you should understand how to join tables, write WHERE clauses, and build aggregate queries.
- Solve complex query problems without cumbersome self-joins that run slowly and are difficult to read
- Create sliding windows in a result set for computing such as running totals and moving averages
- Return aggregate and detail data simultaneously from the same SELECT statement
- Compute lag and lead and other values that access data from multiple rows in a result set
- Understand the OVER clause syntax and how to control the window
- A void framing errors that can lead to unexpected results
Refactoring Legacy T-SQL for Improved Performance: Modern Practices for SQL Server Applications
Breathe new life into older applications by refactoring T-SQL queries and code using modern techniques. This book shows you how to significantly improve the performance of older applications by finding common anti-patterns in T-SQL code, then rewriting those anti-patterns using new functionality that is supported in current versions of SQL Server, including SQL Server 2019. The focus moves through the different types of database objects and the code used to create them, discussing the limitations and anti-patterns commonly found for each object type in your database.<br />Legacy code isn’t just found in queries and external applications. It’s also found in the definitions of underlying database objects such as views and tables. This book helps you quickly find problematic code throughout the database and points out where and how modern solutions can replace older code, thereby making your legacy applications run faster and extending their lifetimes. Author Lisa Bohm exp lains the logic behind each anti-pattern, helping you understand why each pattern is a problem and showing how it can be avoided. Good coding habits are discussed, including guidance on topics such as readability and maintainability. <br /><br /><b>What You Will Learn</b><ul><li>Find specific areas in code to target for performance gains</li><li>Identify pain points quickly and understand why they are problematic</li><li>Rewrite legacy T-SQL to reduce or eliminate hidden performance issues</li><li>Write modern code with an awareness of readability and maintainability</li><li>Recognize and correlate T-SQL anti-patterns with techniques for better solutions</li><li>Make a positive impact on application user experience in your organization</li></ul><br /><b>Who This Book Is For</b><br />Database administrators or developers who maintain older code, those f rustrated with complaints about slow code when there is so much of it to fix, and those who want a head start in making a positive impact on application user experience in their organization<br /><br />
Aug 10, 2017 · A window function then computes a value for each row in the window. You can use the ... Topic link icon Transact-SQL Syntax Conventions ...Analytic Functions · Aggregate Functions · Ranking Functions · Next value forIntroduction to T-SQL Window Functions - Simple Talk › simple-talk › sql › t-sql-programming › introd...Jun 13, 2018 · T-SQL window functions were introduced in 2005 with more functionality added in 2012. Many database professionals are not aware of these ...How to use Window functions in SQL Server - SQLShack › use-window-functions-sql-serverJun 9, 2017 · Window functions operate on a set of rows and return a single aggregated value for each row. The term Window describes the set of rows in the database on which the function will operate. We define the Window (set of rows on which functions operates) using an OVER() clause.SQL Server Window Functions › sql-server-window-functionsSQL Server Window Functions calculate an aggregate value based on a group of rows and return multiple rows for each group.Window Function Examples for SQL Server - Brent Ozar Unlimited® › SQL Syntax ExamplesWindow (or Windowing) functions are a great way to get different ... If you don't have SQL Server 2012 or later, your window function cupboard is pretty bare; ...Why I Love T-SQL Window Functions, and You Should Too! - Apress › blog › all-blog-posts › why-i-love-t-sql-window-...Apr 18, 2017 · By Kathi Kellenberger. I had been using ROW_NUMBER in my T-SQL code for years without realizing that it is one of a group of incredibly ...SQL Server T-SQL Window Functions Tutorial - MS SQL Tips › sqlservertutorial › sql-server-tsql-window-fun...May 31, 2018 · This tutorial covers SQL Server windows functions like aggregates, ranking, statistical functions and more.SQL Server Window Functions Examples - MS SQL Tips › sqlservertutorial › sql-server-window-functi on...May
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✔ Expert T SQL Window Functions in SQL Server 2019: The Hidden VS Refactoring Legacy T SQL for Improved Performance: Modern ✌ 2020
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