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Learning Concurrency in Kotlin

You're reading from   Learning Concurrency in Kotlin Build highly efficient and scalable applications

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Product type Paperback
Published in Jul 2018
Publisher Packt
ISBN-13 9781788627160
Length 266 pages
Edition 1st Edition
Languages
Concepts
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Author (1):
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 Castiblanco Torres Castiblanco Torres
Author Profile Icon Castiblanco Torres
Castiblanco Torres
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Toc

Table of Contents (16) Chapters Close

Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
1. Hello, Concurrent World! FREE CHAPTER 2. Coroutines in Action 3. Life Cycle and Error Handling 4. Suspending Functions and the Coroutine Context 5. Iterators, Sequences, and Producers 6. Channels - Share Memory by Communicating 7. Thread Confinement, Actors, and Mutexes 8. Testing and Debugging Concurrent Code 9. The Internals of Concurrency in Kotlin 1. Other Books You May Enjoy Index

Volatile variables


Allow me to start by clarifying that volatile variables will not solve problems like the thread-safe counter that we are trying to implement. Nevertheless, volatile variables can be used in some scenarios as a simple solution when we need information to be shared among threads.

Thread cache

On the JVM, each thread may contain a cached copy of any non-volatile variable. This cache is not expected to be in sync with the actual value of the variable at all times. So changing a shared state in a thread will not be visible in other threads until the cache is updated.

@Volatile

In order to force changes in a variable to be immediately visible to other threads, we can use the annotation @Volatile, a in the following example:

@Volatile
var shutdownRequested = false

 

 

 

 

This will guarantee visibility of changes for other threads as soon as the value is changed. This means that if thread X modifies the value of shutdownRequested, thread Y will be able to see the change immediately.

Note...

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