Are there any tools that do Query Optimizations for SQL Server. Are there any Query Optimization Tools for SQL. Sharpening that tool. SQL Server 2008 Query.
About the eBook by Benjamin Nevarez This book will take you from the fundamentals of Statistics, Cost Estimation, Index Selection, and the Execution Engine, and guide you through the inner workings of the Query Optimization process, and throws in a pragmatic look at Parameterization and Hints along the way. The SQL Server Query Optimizer is perceived by many to be a magic black box, transforming SQL queries into high performance execution plans in the blink of an eye through some unknowable process. The truth is that, while the Query Optimizer is indeed the highly-complex result of decades of research, learning how it works its magic is not only possible, but immensely useful to DBAs and Developers alike.
A better understanding of what the Query Optimizer does behind the scenes can help you to improve the performance of your databases and applications, and this book explains the core concepts behind how the SQL Server Query Optimizer works. With this knowledge, you’ll be able to write superior queries, provide the Query Optimizer with all the information it needs to produce efficient execution plans, and troubleshoot the cases when the Query Optimizer is not giving you the best plan possible. With over 15 years of experience in the use of Relational Databases (including SQL Server since version 6.5), Benjamin has watched the SQL Server Query Optimizer grow and evolve. His insight will leave you with an excellent foundation in the practicalities of the Query Optimizer, and everything you need to know to start tuning your queries to perfection.
Table of Contents • Chapter 1: Introduction to Query Optimization • Chapter 2: Execution Engine • Chapter 3: Statistics and Cost Estimation • Chapter 4: Index Selection • Chapter 5: The Optimization Process • Chapter 6: Additional Topics • Chapter 7: Hints About the author Benjamin Nevarez is a database professional based in Los Angeles, California. He has more than 15 years of experience with relational databases, and has been working with SQL Server since version 6.5. Benjamin has been the technical editor of the two latest books by Kalen Delaney, including “SQL Server 2008 Internals.” He holds a Master’s Degree in Computer Science and has been a speaker at several technology conferences, including the PASS Community Summit. Share • • • •.
#1 – Pros: • Great and easy to use UI. Very comprehensive and intuitive interface. • – Licensed under GNU GPL. • Portable version is available for download, so you can use it without the need for administrator privileges and any installation. • Full database user management and privileges management options. • Automate connections via command line utility.
• Ability to connect to MySQL database via an SSH tunnel, in case you don’t have the default port open for remote connections. • Good syntax completion.
• Can work on Linux if ran with the Wine platform. Cons: • Some users are reporting sudden crashes / bugs, but nothing that significantly interrupts the daily usage. Price: Free #2 – Pros: • Comfortable user interface for both beginner and advanced users. • Built in query profiler that allows to profile the query and compare it with other queries. • Debug your query, step by step, using the known watch, call stack and breakpoint concepts.
• GUI query builder and database builder. Drag and drop to build your own custom queries and database schema. • Good syntax completion and checker. • Full database user management and privileges management options. • Backup wizard that allows to schedule database backups. Cons: • The full version has a significant cost.
Price: up to $249.95. #3 – Pros: • Intuitive, easy to use UI. • Ability to connect to MySQL database via an SSH tunnel, in case you don’t have the default port open for remote connections. • Schedule database jobs – backup, restore, run reports and more. • Import data from: ODBC, Excel, Access, DBF, TXT, CSV, XML, JSON. • Export data to: Excel, Access, DBF, TXT, CSV, XML, JSON. • Visual schema and query builders.