DB2 SQL Tuning Tips for z/OS Developers (Paperback)Tony Andrews (author)
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The largest database tuning performance gains can often be obtained from tuning application code, and applications that use SQL to retrieve data are the best candidates for tuning. This well-organized, easy-to-understand reference brings together more than 100 SQL-related skills and techniques that any developer can use to build and optimize DB2 applications for consistently superior performance.
DB2 tuning expert Tony Andrews ("Tony the Tuner") draws on more than 20 years of DB2-related experience, empowering you to take performance into your own hands, whether you're writing new software or tuning existing systems. Tony shows you exactly how to clear bottlenecks, resolve problems, and improve both speed and reliability.
This book fully reflects the latest SQL programming best practices for DB2 V9 and DB2 V10 on z/OS: techniques that are taught in no other book and are rarely covered in general DB2 SQL courses. Drawing on his extensive consulting experience and highly praised training with Themis Inc., Tony also presents practical checklists and an invaluable 15-step methodology for optimizing virtually any DB2 application.
Empowering developers on knowing what to do and where to look in resolving performance problems in queries or programsProviding many programming and SQL coding examplesEstablishing standards and guidelines that lead to high-performance SQLImplementing time-efficient code walkthroughs to ensure that your standards are followedFocusing on the small number of SQL statements that consume the most resourcesIdentifying simple solutions that deliver the most sizable benefitsOptimizing performance by rewriting query predicates more efficientlyProviding a better understanding of SQL optimization and Runstat statisticsRecognizing opportunities to tweak your code more effectively than the OptimizerOptimizing SQL code with COBOL applicationsEfficiently checking for the existence of data, rows, or tablesUsing Runstats' newest capabilities to consistently optimize paths to data
Publisher: Pearson Education (US)
Number of pages: 160
Weight: 220 g
Dimensions: 227 x 155 x 10 mm