Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Learning Functional Data Structures and Algorithms

You're reading from   Learning Functional Data Structures and Algorithms Learn functional data structures and algorithms for your applications and bring their benefits to your work now

Arrow left icon
Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781785888731
Length 318 pages
Edition 1st Edition
Languages
Arrow right icon
Authors (2):
Arrow left icon
Raju Kumar Mishra Raju Kumar Mishra
Author Profile Icon Raju Kumar Mishra
Raju Kumar Mishra
Atul S. Khot Atul S. Khot
Author Profile Icon Atul S. Khot
Atul S. Khot
Arrow right icon
View More author details
Toc

Table of Contents (14) Chapters Close

Preface 1. Why Functional Programming? FREE CHAPTER 2. Building Blocks 3. Lists 4. Binary Trees 5. More List Algorithms 6. Graph Algorithms 7. Random Access Lists 8. Queues 9. Streams, Laziness, and Algorithms 10. Being Lazy - Queues and Deques 11. Red-Black Trees 12. Binomial Heaps 13. Sorting

Controlling state changes

Let me share a debugging nightmare with you. We had a multithreaded system written in C++. The state was carefully shared, with concurrent access protected by explicit mutex locks. A team member--ugh--forgot to acquire a lock on a shared data structure and all hell broke loose.

The team member was a senior programmer; he knew what he was doing. He just forgot the locking. It took us some nights full of stack trace to figure out what the issue was.

Writing concurrent programs using shared memory communication can very easily go wrong.

In the book Java Concurrency in Practice, the authors show us how easy it is for internal mutable state to escape (http://jcip.net/ ). Tools, such as Eclipse, make it easy to generate getters, and before you know, a reference escapes and all hell could break loose.

The encapsulation is fine. The mutable state, in this case an array, could be inadvertently exposed. For example, using a getter method, the array reference can be obtained by the outside world. Two or more threads could then try mutating it and everything goes for a toss:

Controlling state changes

We cannot ignore concurrency anymore. Program design is going to be ruled by the machine design; having a multicore machine is the norm.

It is too hard to make sure the state changes are controlled. If instead, we know that a data structure does not change once it is created, reasoning becomes far easier. There is no need to acquire/release locks as a shared state never changes.

You have been reading a chapter from
Learning Functional Data Structures and Algorithms
Published in: Feb 2017
Publisher: Packt
ISBN-13: 9781785888731
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image