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High Performance with Java

You're reading from   High Performance with Java Discover strategies and best practices to develop high performance Java applications

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835469736
Length 306 pages
Edition 1st Edition
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Author (1):
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Dr. Edward Lavieri Jr. Dr. Edward Lavieri Jr.
Author Profile Icon Dr. Edward Lavieri Jr.
Dr. Edward Lavieri Jr.
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Toc

Table of Contents (26) Chapters Close

Preface 1. Part 1: Code Optimization FREE CHAPTER
2. Chapter 1: Peeking Inside the Java Virtual Machine 3. Chapter 2: Data Structures 4. Chapter 3: Optimizing Loops 5. Chapter 4: Java Object Pooling 6. Chapter 5: Algorithm Efficiencies 7. Part 2: Memory Optimization and I/O Operations
8. Chapter 6: Strategic Object Creation and Immutability 9. Chapter 7: String Objects 10. Chapter 8: Memory Leaks 11. Part 3: Concurrency and Networking
12. Chapter 9: Concurrency Strategies and Models 13. Chapter 10: Connection Pooling 14. Chapter 11: Hypertext Transfer Protocols 15. Part 4: Frameworks, Libraries, and Profiling
16. Chapter 12: Frameworks for Optimization 17. Chapter 13: Performance-Focused Libraries 18. Chapter 14: Profiling Tools 19. Part 5: Advanced Topics
20. Chapter 15: Optimizing Your Database and SQL Queries 21. Chapter 16: Code Monitoring and Maintenance 22. Chapter 17: Unit and Performance Testing 23. Chapter 18: Leveraging Artificial Intelligence (AI) for High-Performance Java Applications 24. Index 25. Other Books You May Enjoy

Additional strategies

So far, this chapter has covered designing a database schema for efficiency and how to write efficient SQL queries. There are several additional strategies we can employ, including fine-tuning, monitoring, and maintenance. Each of these strategies is explored in this section and uses the same book inventory and ordering example from the previous section.

Fine-tuning

We can fine-tune our database server’s configuration parameters to ensure that our queries make efficient use of resources. This fine-tuning can be categorized as follows:

  • Database server parameters
  • Memory allocation: It is important to ensure we allocate sufficient memory for buffering and caching. For example, we can adjust the innodb_buffer_pool_size parameter in MySQL with the SET shared_buffers = '3GB'; SQL statement.
  • Connection pooling: As detailed in Chapter 10, Connection Pooling, we can pool our database connections to reduce overhead and improve overall...
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