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Simplifying Application Development with Kotlin Multiplatform Mobile

You're reading from  Simplifying Application Development with Kotlin Multiplatform Mobile

Product type Book
Published in Mar 2022
Publisher Packt
ISBN-13 9781801812580
Pages 184 pages
Edition 1st Edition
Languages
Author (1):
Róbert Nagy Róbert Nagy
Profile icon Róbert Nagy

Table of Contents (15) Chapters

Preface 1. Section 1 - Getting Started with Multiplatform Mobile Development Using Kotlin
2. Chapter 1: The Battle Between Native, Cross-Platform, and Multiplatform 3. Chapter 2: Exploring the Three Compilers of Kotlin Multiplatform 4. Chapter 3: Introducing Kotlin for Swift Developers 5. Section 2 - Code Sharing between Android and iOS
6. Chapter 4: Introducing the KMM Learning Project 7. Chapter 5: Writing Shared Code 8. Chapter 6: Writing the Android Consumer App 9. Chapter 7: Writing an iOS Consumer App 10. Section 3 - Supercharging Yourself for the Next Steps
11. Chapter 8: Exploring Tips and Best Practices 12. Chapter 9: Integrating KMM into Existing Android and iOS Apps 13. Chapter 10: Summary and Your Next Steps 14. Other Books You May Enjoy

Managing concurrency

Important Note

Starting with Kotlin 1.6.10, the new memory model is enabled by default, with the official multithreaded coroutines library available for Kotlin/Native. This change makes the following overview and the freezing concept in Kotlin/Native obsolete. While you may bump into the freezing model until the new memory model becomes stable, a pragmatic approach would be revisiting/reading up on freezing-related concepts when the need arises.

In the previous chapters, we saw how Kotlin/Native's concurrency model differs from JVM and that while a new model is being made, it will probably take some time until it's stable. In this section, we'll explore some of the more common concurrency issues that people have and what best practices you can follow to avoid them.

As a quick reminder about Kotlin/Native's concurrency rules, you can only share immutable states between threads. This is done at runtime and is referred to as a frozen state...

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