Systematically Identify and Resolve Oracle Database Performance Problems
Buch, Englisch, Format (B × H): 178 mm x 254 mm
ISBN: 979-8-8688-3224-6
Verlag: APRESS L.P.
This book is a systematic guide to diagnosing and resolving performance problems in enterprise applications that use Oracle Database. Written by performance engineer Christian Antognini for database administrators and application developers, it presents his proven approach to solving database application performance problems and shows how to plan for performance as you would for any other application requirement. You will see how SQL is parsed and executed, how to obtain and interpret execution plans, and how to move efficiently from symptoms to root causes across reproducible issues (SQL trace, PL/SQL profilers), live incidents (dynamic performance views), and post-mortem analysis (AWR and Statspack). Coverage spans modern releases from Oracle Database 12g through Oracle AI Database 26ai.
This edition builds on previous bestselling editions with a deeper focus on the query optimizer and plan stability. You will learn how to configure the optimizer for each workload, evaluate execution plan efficiency, and apply execution plan management techniques including hints, SQL plan baselines, SQL profiles, and SQL patches. The restructured core adds focused chapters on parallel execution, precomputing and caching data, and optimizing network round trips, helping you tune joins and data access, increase throughput with parallelism, leverage materialized views and result caching, and reduce latency via the array interface and row prefetching. The result is an up-to-date, practical guide that helps you diagnose faster, fix them with confidence, and keep Oracle Database performance on track across releases from 12g to 26ai.
What You Will Learn:
- Diagnose performance with SQL trace, PL/SQL profilers, dynamic views, AWR, and Statspack
- Configure the query optimizer and read execution plans for efficiency and stability
- Apply hints, SQL plan baselines, SQL profiles, and SQL patches to manage execution plans
- Reduce parsing overhead while maintaining throughput
- Optimize data access and join strategies for predictable performance
- Improve throughput with parallel execution and precomputation via materialized views and result caching
- Reduce latency by optimizing network round trips (array interface, row prefetching)
- Strengthen physical design choices to sustain application performance
Who This Book is For:
Performance analysts, database administrators, and application developers involved in troubleshooting performance problems in applications that use Oracle Database.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Part I.- Chapter 1: Performance Problems.- Chapter 2: Key Concepts.- Part II.- Chapter 3: Analysis of Reproducible Problems.- Chapter 4: Real-Time Analysis of Irreproducible Problems.- Chapter 5: Post-mortem Analysis of Irreproducible Problems.- Part III.- Chapter 6: Introducing the Query Optimizer.- Chapter 7: System Statistics.- Chapter 8: Object Statistics.- Chapter 9: Configuring the Query Optimizer.- Chapter 10: Execution Plans.- Part IV.- Chapter 11: SQL Optimization Techniques.- Chapter 12: Parsing.- Chapter 13: Optimizing Data Accesses.- Chapter 14: Optimizing Joins.- Chapter 15: Parallel Execution.- Chapter 16: Precomputing and Caching Data.- Chapter 17: Optimizing Network Round Trips.- Chapter 18: Optimizing the Physical Design.- Appendix A.
