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SQL Server Query Tuning and Optimization: Optimize Microsoft SQL Server 2022 queries and applications
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NIO 2740
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Speed up queries and dramatically improve application performance by both understanding query engine internals and practical query optimization.
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Detalles de producto
- Get well-versed with ready-to-use techniques for creating high-performance queries and applicationsKey FeaturesSpeed up queries and dramatically improve application performance by both understanding query engine internals and practical query optimizationUnderstand how the query optimizer worksLearn about intelligent query processing and what is new in SQL Server 2022Book DescriptionSQL Server is a relational database management system developed by Microsoft. As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications.This book starts by describing the inner workings of the query optimizer, and will enable you to use this knowledge to write better queries and provide the query engine with all the information it needs to produce efficient execution plans. As you progress, you'll get practical query optimization tips for troubleshooting underperforming queries. The book will also guide you through intelligent query processing and what is new in SQL Server 2022. Query performance topics such as the Query Store, In-Memory OLTP and columnstore indexes are covered as well.By the end of this book, you'll be able to get the best possible performance for your queries and applications.What you will learnTroubleshoot queries using methods including extended events, SQL Trace, and dynamic management viewsUnderstand how the execution engine and query operators workSpeed up queries and improve app performance by creating the right indexesDetect and fix cardinality estimation errors by examining query optimizer statisticsMonitor and promote both plan caching and plan reuse to improve app performanceTroubleshoot and improve query performance by using the Query StoreImprove the performance of data warehouse queries by using columnstore indexesHandle query processor limitations with hints and other methodsWho this book is forThis book is for SQL Server developers who are struggling with slow query execution, database administrators who are tasked with troubleshooting slow application performance, and database architects who design SQL Server databases in support of line-of-business and data warehousing applications.Table of ContentsAn Introduction to Query Tuning and OptimizationTroubleshooting QueriesThe Query OptimizerThe Execution EngineWorking with IndexesUnderstanding StatisticsIn-Memory OLTPUnderstanding Plan CachingThe Query StoreIntelligent Query ProcessingAn Introduction to Data WarehousesUnderstanding Query Hints
| Publisher | Packt Publishing |
| Publication date | August 12, 2022 |
| Language | English |
| Print length | 446 pages |
| ISBN-10 | 1803242620 |
| ISBN-13 | 978-1803242620 |
| Item Weight | 1.68 pounds (760 grams) |
| Dimensions | 7.5 x 1.01 x 9.25 inches (19.1 x 2.6 x 23.5 cm) |
Who Should Buy?
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Database Administrators
Essential for DBAs looking to enhance performance through effective query tuning and optimization techniques.
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Developers
Ideal for software developers who want to write efficient SQL queries and improve application performance.
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Data Analysts
Helpful for analysts needing to optimize query execution for faster data retrieval and reporting.
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Beginners
Novices may find the complexity overwhelming without foundational knowledge in SQL Server and query writing.
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Performance Optimization Editorial Review
**** "SQL Server Query Tuning and Optimization: Optimize Microsoft SQL Server 2022 Queries and Applications" by Benjamin Nevarez has garnered a positive reception from readers, particularly those looking to deepen their understanding of SQL Server query tuning. Customers have praised the book for its clear and accessible language that simplifies complex topics, enabling readers at various skill levels to grasp the intricacies of performance tuning. Notably, the book goes beyond superficial strategies such as adding indexes or updating statistics; it dives into the underlying mechanisms that drive performance improvements. Readers appreciate the structured layout of the book, which starts with foundational concepts and progressively introduces advanced topics like Dynamic Management Views, Execution Plans, and In-Memory OLTP. The author presents detailed explanations enriched with diagrams, aiding comprehension and retention of key concepts. Chapters are paced well, balancing depth of information and practical application, which is highly valued by professionals who wish to implement improvements in their work environments immediately. While some users have noted the absence of certain features introduced in SQL Server 2022, they still find the book invaluable due to its coverage of older versions, ensuring that users can apply knowledge regardless of the SQL Server version they're utilizing. The emphasis on understanding the inner workings of the query optimizer, execution engine, and indexing solidifies this book as a critical resource for anyone serious about SQL Server performance tuning. Overall, readers highly recommend "SQL Server Query Tuning and Optimization," praising it as a must-have for databases professionals looking to optimize query performance effectively. **
Customer Reviews & Ratings
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5 estrella
66%
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22%
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3 estrella
4%
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2 estrella
0%
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1 estrella
8%
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ventajas
- Clear and accessible writing style
- In-depth coverage of performance tuning concepts
- Structured layout that progresses logically
- Detailed explanations and helpful diagrams
- Valuable for both SQL Server 2022 and older versions
- Practical examples applicable to real-world scenarios
Contras
- Some readers may desire coverage of newer SQL Server features not included
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características y beneficios
- Learn practical techniques for high-performance queries.
- Understand the inner workings of the SQL Server query optimizer.
- Gain insights into intelligent query processing features of SQL Server 2022.
- Receive troubleshooting tips for underperforming queries.
- Master performance improvement methods like indexing and cardinality estimation.
- Ideal for SQL Server developers, DBAs, and database architects.
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