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Refactoring legacy T-SQL for improve...
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Bohm, Lisa.
Refactoring legacy T-SQL for improved performancemodern practices for SQL server applications /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Refactoring legacy T-SQL for improved performanceby Lisa Bohm.
其他題名:
modern practices for SQL server applications /
作者:
Bohm, Lisa.
出版者:
Berkeley, CA :Apress :2020.
面頁冊數:
xxi, 236 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
標題:
SQL (Computer program language)
電子資源:
https://doi.org/10.1007/978-1-4842-5581-0
ISBN:
9781484255810$q(electronic bk.)
Refactoring legacy T-SQL for improved performancemodern practices for SQL server applications /
Bohm, Lisa.
Refactoring legacy T-SQL for improved performance
modern practices for SQL server applications /[electronic resource] :by Lisa Bohm. - Berkeley, CA :Apress :2020. - xxi, 236 p. :ill., digital ;24 cm.
Breathe new life into older applications by refactoring T-SQL queries and code using modern techniques. This book shows you how to significantly improve the performance of older applications by finding common anti-patterns in T-SQL code, then rewriting those anti-patterns using new functionality that is supported in current versions of SQL Server, including SQL Server 2019. The focus moves through the different types of database objects and the code used to create them, discussing the limitations and anti-patterns commonly found for each object type in your database. Legacy code isn't just found in queries and external applications. It's also found in the definitions of underlying database objects such as views and tables. This book helps you quickly find problematic code throughout the database and points out where and how modern solutions can replace older code, thereby making your legacy applications run faster and extending their lifetimes. Author Lisa Bohm explains the logic behind each anti-pattern, helping you understand why each pattern is a problem and showing how it can be avoided. Good coding habits are discussed, including guidance on topics such as readability and maintainability. You will: Find specific areas in code to target for performance gains Identify pain points quickly and understand why they are problematic Rewrite legacy T-SQL to reduce or eliminate hidden performance issues Write modern code with an awareness of readability and maintainability Recognize and correlate T-SQL anti-patterns with techniques for better solutions Make a positive impact on application user experience in your organization.
ISBN: 9781484255810$q(electronic bk.)
Standard No.: 10.1007/978-1-4842-5581-0doiSubjects--Uniform Titles:
SQL server.
Subjects--Topical Terms:
189402
SQL (Computer program language)
LC Class. No.: QA76.73.S67 / B646 2020
Dewey Class. No.: 005.133
Refactoring legacy T-SQL for improved performancemodern practices for SQL server applications /
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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. 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 explains 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. You will: Find specific areas in code to target for performance gains Identify pain points quickly and understand why they are problematic Rewrite legacy T-SQL to reduce or eliminate hidden performance issues Write modern code with an awareness of readability and maintainability Recognize and correlate T-SQL anti-patterns with techniques for better solutions Make a positive impact on application user experience in your organization.
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