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Java 9 Data Structures and Algorithms

You're reading from   Java 9 Data Structures and Algorithms A step-by-step guide to data structures and algorithms

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Product type Paperback
Published in Apr 2017
Publisher Packt
ISBN-13 9781785889349
Length 340 pages
Edition 1st Edition
Languages
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Author (1):
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Debasish Ray Chawdhuri Debasish Ray Chawdhuri
Author Profile Icon Debasish Ray Chawdhuri
Debasish Ray Chawdhuri
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Toc

Table of Contents (13) Chapters Close

Preface 1. Why Bother? – Basic FREE CHAPTER 2. Cogs and Pulleys – Building Blocks 3. Protocols – Abstract Data Types 4. Detour – Functional Programming 5. Efficient Searching – Binary Search and Sorting 6. Efficient Sorting – quicksort and mergesort 7. Concepts of Tree 8. More About Search – Search Trees and Hash Tables 9. Advanced General Purpose Data Structures 10. Concepts of Graph 11. Reactive Programming Index

What is reactive programming?

Suppose we have a web server that lets us query some data or save it. This web server serves multiple requests at the same time, and each request is a short task that involves some computation. What is the usual way of achieving this? Well, the naive way would be to spawn a new thread for each request. But one can easily realize that this leads to an explosion in the number of threads in the application. Plus, the creation and deletion of threads are heavyweight activities; they slow down the entire application.

Next, you can use a thread pool so the same threads can be used over and over to avoid the overhead of creation and deletion of threads. However, if you want to serve thousands of requests at the same time, this will require a thread pool with thousands of threads. Thread scheduling in an operating system is complex and involves a lot of logic, including priority and so on. Operating systems do not expect threads to just run short bursts of computation...

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