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Salesforce Platform Enterprise Architecture- fourth edition

You're reading from   Salesforce Platform Enterprise Architecture- fourth edition A must-read guide to help you architect and deliver packaged applications for enterprise needs

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Product type Paperback
Published in Mar 2023
Publisher Packt
ISBN-13 9781804619773
Length 712 pages
Edition 4th Edition
Languages
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Author (1):
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Andrew Fawcett Andrew Fawcett
Author Profile Icon Andrew Fawcett
Andrew Fawcett
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Toc

Table of Contents (23) Chapters Close

Preface 1. Part I: Key Concepts for Application Development
2. Building and Publishing Your Application FREE CHAPTER 3. Leveraging Platform Features 4. Application Storage 5. Apex Execution and Separation of Concerns 6. Part II: Backend Logic Patterns
7. Application Service Layer 8. Application Domain Layer 9. Application Selector Layer 10. Additional Languages, Compute, and Data Services 11. Part III: Developing the Frontend
12. Building User Interfaces 13. User Interfaces and the Lightning Component Framework 14. Part IV: Extending, Scaling, and Testing an Application
15. Providing Integration and Extensibility 16. Asynchronous Processing and Big Data Volumes 17. Unit Testing 18. Source Control and Continuous Integration 19. Integrating with External Services 20. Adding AI with Einstein 21. Other Books You May Enjoy
22. Index

Execution contexts

In this chapter, we are focusing on understanding the execution contexts of code written in Apex. In later chapters, we will review how Salesforce Heroku and Salesforce Functions can be used to run other computational workloads written in Java and Node.js.

An Apex execution context on the platform always has a beginning and an end; it starts with a user or system action, for example, a button click from a Lightning Web Component (LWC), an “Apex-scheduled” background job, or responding to a Platform Event. In all cases, execution is typically short-lived, with seconds or minutes instead of hours before it ends – Apex does not run continuously. This behavior is especially important in multitenant architecture because each context receives its own set of limits around queries, database operations, logs, and the duration of the execution.

In the case of background jobs (Batch Apex), instead of having one execution context for the whole job...

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