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  • Book Overview & Buying Learn T-SQL Querying
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Learn T-SQL Querying

Learn T-SQL Querying - Second Edition

By : Pedro Lopes, Pam Lahoud
5 (3)
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Learn T-SQL Querying

Learn T-SQL Querying

5 (3)
By: Pedro Lopes, Pam Lahoud

Overview of this book

Data professionals seeking to excel in Transact-SQL for Microsoft SQL Server and Azure SQL Database often lack comprehensive resources. Learn T-SQL Querying second edition focuses on indexing queries and crafting elegant T-SQL code enabling data professionals gain mastery in modern SQL Server versions (2022) and Azure SQL Database. The book covers new topics like logical statement processing flow, data access using indexes, and best practices for tuning T-SQL queries. Starting with query processing fundamentals, the book lays a foundation for writing performant T-SQL queries. You’ll explore the mechanics of the Query Optimizer and Query Execution Plans, learning to analyze execution plans for insights into current performance and scalability. Using dynamic management views (DMVs) and dynamic management functions (DMFs), you’ll build diagnostic queries. The book covers indexing and delves into SQL Server’s built-in tools to expedite resolution of T-SQL query performance and scalability issues. Hands-on examples will guide you to avoid UDF pitfalls and understand features like predicate SARGability, Query Store, and Query Tuning Assistant. By the end of this book, you‘ll have developed the ability to identify query performance bottlenecks, recognize anti-patterns, and avoid pitfalls
Table of Contents (18 chapters)
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1
Part 1: Query Processing Fundamentals
4
Part 2: Dos and Don’ts of T-SQL
9
Part 3: Assembling Our Query Troubleshooting Toolbox

Mining XML query plans

As we mentioned in the sys.dm_exec_query_plan section, query execution plans are stored as XML, and the sys.dm_exec_query_plan DMV returns them as a proper XML data type. This allows us to leverage XML Path Language (XPath) to generate queries that can search for elements and attributes within the query execution plans. Using these XPath queries, or XQueries, we can search for common query performance issues across all the query execution plans in the cache, rather than having to examine each graphical plan individually. In this section, we will cover a few common scenarios, but be sure to reference the Mining-PlanCache section of the Tiger Toolbox (https://aka.ms/tigertoolbox) for more examples.

Tip

The queries shown in this section can be used individually to search for specific issues, but running the entire BPCheck script from the Tiger Toolbox (https://aka.ms/bpcheck) will gather all this information and more in a single resultset.

Plans with missing...

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Learn T-SQL Querying
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