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Mastering Apex Programming

Mastering Apex Programming

By : Paul Battisson
4.9 (12)
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Mastering Apex Programming

Mastering Apex Programming

4.9 (12)
By: Paul Battisson

Overview of this book

As applications built on the Salesforce platform are now a key part of many organizations, developers are shifting focus to Apex, Salesforce’s proprietary programming language. As a Salesforce developer, it is important to understand the range of tools at your disposal, how and when to use them, and best practices for working with Apex. Mastering Apex Programming will help you explore the advanced features of Apex programming and guide you in delivering robust solutions that scale. This book starts by taking you through common Apex mistakes, debugging, exception handling, and testing. You'll then discover different asynchronous Apex programming options and develop custom Apex REST web services. The book shows you how to define and utilize Batch Apex, Queueable Apex, and Scheduled Apex using common scenarios before teaching you how to define, publish, and consume platform events and RESTful endpoints with Apex. Finally, you'll learn how to profile and improve the performance of your Apex application, including architecture trade-offs. With code examples used to facilitate discussion throughout, by the end of the book, you'll have developed the skills needed to build robust and scalable applications in Apex.
Table of Contents (21 chapters)
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1
Section 1 – Triggers, Testing, and Security
8
Section 2 – Asynchronous Apex and Apex REST
15
Section 3 – Apex Performance

Summary

In this chapter, we have covered a number of ways in which we can improve the performance of our code related to specific governor-constrained resources. We started by looking into improving our CPU time through improved for loops, using maps, and reducing the number of expensive operations we are undertaking. This led us to see how we could improve the performance for one resource, but increase the usage of another inadvertently, which we built on in the next section, on heap size.

In the section discussing heap size, we referred back to the looping code and how we can improve heap size utilization in our loops, but again to the detriment of our CPU time. This also led to a discussion around their difference, with some of these limits being perceived by users (time to run) and others just being internal limits (heap size and memory usage). We also discussed the use of scoping to help keep the heap size down, as well as manually clearing memory by setting variables containing...

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