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Mastering Concurrency Programming with Java 9, Second Edition

You're reading from   Mastering Concurrency Programming with Java 9, Second Edition Fast, reactive and parallel application development

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781785887949
Length 516 pages
Edition 2nd Edition
Languages
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Author (1):
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Javier Fernández González Javier Fernández González
Author Profile Icon Javier Fernández González
Javier Fernández González
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Toc

Table of Contents (14) Chapters Close

Preface 1. The First Step - Concurrency Design Principles FREE CHAPTER 2. Working with Basic Elements - Threads and Runnables 3. Managing Lots of Threads - Executors 4. Getting the Most from Executors 5. Getting Data from Tasks - The Callable and Future Interfaces 6. Running Tasks Divided into Phases - The Phaser Class 7. Optimizing Divide and Conquer Solutions - The Fork/Join Framework 8. Processing Massive Datasets with Parallel Streams - The Map and Reduce Model 9. Processing Massive Datasets with Parallel Streams - The Map and Collect Model 10. Asynchronous Stream Processing - Reactive Streams 11. Diving into Concurrent Data Structures and Synchronization Utilities 12. Testing and Monitoring Concurrent Applications 13. Concurrency in JVM - Clojure and Groovy with the Gpars Library and Scala

First example - an advanced server application

In Chapter 3, Managing Lots of Threads - Executors, we present an example of a client/server application. We implemented a server to search data over the World Development Indicators of the World Bank and a client that makes multiple calls to that server to test the performance of the executor.

In this section, we will extend that example to add to it the following characteristics:

  • You can cancel the execution of queries in the server, using a new cancellation query.
  • You can control the order of execution of queries using a priority parameter. Tasks with a higher priority will be executed first.
  • The server will calculate the number of tasks and the total execution time used by the different users that use the server.

To implement these new characteristics, we have made the following changes to the server:

  • We have added two parameters...
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