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Mastering Apex Programming

You're reading from   Mastering Apex Programming A Salesforce developer's guide to learn advanced techniques and programming best practices for building robust and scalable enterprise-grade applications

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Product type Paperback
Published in Nov 2023
Publisher Packt
ISBN-13 9781837638352
Length 394 pages
Edition 2nd Edition
Languages
Concepts
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Author (1):
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Paul Battisson Paul Battisson
Author Profile Icon Paul Battisson
Paul Battisson
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Toc

Table of Contents (28) Chapters Close

Preface 1. Section 1: Triggers, Testing, and Security
2. Chapter 1: Common Apex Mistakes FREE CHAPTER 3. Chapter 2: Debugging Apex 4. Chapter 3: Triggers and Managing Trigger Execution 5. Chapter 4: Exceptions and Exception Handling 6. Chapter 5: Testing Apex Code 7. Chapter 6: Secure Apex Programming 8. Section 2: Asynchronous Apex
9. Chapter 7: Utilizing Future Methods 10. Chapter 8: Working with Batch Apex 11. Chapter 9: Working with Queueable Apex 12. Chapter 10: Scheduling Apex Jobs 13. Section 3: Integrations
14. Chapter 11: Integrating with Salesforce 15. Chapter 12: Using Platform Events 16. Chapter 13: Apex and Flow 17. Chapter 14: Apex REST and Custom Web Services 18. Chapter 15: Outbound Integrations – REST 19. Chapter 16: Outbound Integrations – SOAP 20. Chapter 17: DataWeave in Apex 21. Section 4: Apex Performance
22. Chapter 18: Performance and the Salesforce Governor Limits 23. Chapter 19: Performance Profiling 24. Chapter 20: Improving Apex Performance 25. Chapter 21: Performance and Application Architectures 26. Index 27. Other Books You May Enjoy

Improving Apex Performance

In the previous chapters of this section of the book, we focused on the practices involved in profiling the performance of our application, ensuring that we can take measurements that will allow us to correctly analyze the performance of the system, as well as how to undertake that analysis.

In this chapter, we will focus on practical ways in which you can improve the performance of your code. This list is not a comprehensive list of every possible performance optimization you can make but, rather, is a set of optimizations that can help in most instances, without being specific about the exact underlying code. Again, performance will be dictated by what your code needs to do, so some of these methods may not apply, but as general patterns and principles, they should assist in improving your code performance overall.

In this chapter, we will cover the following topics:

  • Improving CPU time
  • Reducing heap size usage
  • Improving query selectivity...
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