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Learning Concurrent Programming in Scala

You're reading from   Learning Concurrent Programming in Scala Practical Multithreading in Scala

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Product type Paperback
Published in Feb 2017
Publisher
ISBN-13 9781786466891
Length 434 pages
Edition 2nd Edition
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Author (1):
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Aleksandar Prokopec Aleksandar Prokopec
Author Profile Icon Aleksandar Prokopec
Aleksandar Prokopec
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Table of Contents (11) Chapters Close

Preface 1. Introduction FREE CHAPTER 2. Concurrency on the JVM and the Java Memory Model 3. Traditional Building Blocks of Concurrency 4. Asynchronous Programming with Futures and Promises 5. Data-Parallel Collections 6. Concurrent Programming with Reactive Extensions 7. Software Transactional Memory 8. Actors 9. Concurrency in Practice 10. Reactors

Exercises

In the following exercises, you will use ScalaSTM to implement various transactional programming abstractions. In most cases, their implementation will closely resemble a sequential implementation, while using transactions. In some cases, you might need to consult external literature or ScalaSTM documentation to correctly solve the exercise.

  1. Implement the transactional pair abstraction, represented with the TPair class:
            class TPair[P, Q](pinit: P, qinit: Q) { 
              def first(implicit txn: InTxn): P = ??? 
              def first_=(x: P)(implicit txn: InTxn): P = ??? 
              def second(implicit txn: InTxn): Q = ??? 
              def second_=(x: Q)(implicit txn: InTxn): Q = ??? 
              def swap()(implicit e: P =:= Q, txn: InTxn): Unit = ??? 
            } 
    

    In addition to getters and setters for the two fields, the transactional pair defines the swap method that swaps the fields, and can only be called if types P and Q are the same.

  2. Use ScalaSTM to implement the mutable...
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