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Mastering Elixir

You're reading from   Mastering Elixir Build and scale concurrent, distributed, and fault-tolerant applications

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Product type Paperback
Published in Jul 2018
Publisher Packt
ISBN-13 9781788472678
Length 574 pages
Edition 1st Edition
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Authors (2):
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André Albuquerque André Albuquerque
Author Profile Icon André Albuquerque
André Albuquerque
Daniel Caixinha Daniel Caixinha
Author Profile Icon Daniel Caixinha
Daniel Caixinha
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Table of Contents (13) Chapters Close

Preface 1. Preparing for the Journey Ahead 2. Innards of an Elixir Project FREE CHAPTER 3. Processes – The Bedrock of Concurrency and Fault Tolerance 4. Powered by Erlang/OTP 5. Demand-Driven Processing 6. Metaprogramming – Code That Writes Itself 7. Persisting Data Using Ecto 8. Phoenix – A Flying Web Framework 9. Finding Zen through Testing 10. Deploying to the Cloud 11. Keeping an Eye on Your Processes 12. Other Books You May Enjoy

Why functional programming?

Coming from an object-oriented background ourselves, we can't emphasize enough how valuable this shift is. Adopting the functional programming paradigm brings along some benefits, such as the following:

  • The data-transformation flow becomes more evident. This is in contrast with what usually happens in object-oriented programming, where objects strive to encapsulate the data; in functional programming, we mutate data using functions. This makes the transformations that are applied to the data explicit, which in turn makes the applications written this way easier to understand.
  • Functions are (mostly) side-effect-free. With immutable data, you can be sure that the value of a certain variable you hold a reference to will remain the same, since if another function or process wants to change it, it has to create a copy first—and operate on that copy. This makes code much easier to analyze and comprehend, since you can rest assured that your variables will remain as you expect. However, note that since Elixir isn't a pure functional language, your code can still have side effects. For instance, if a function writes to a file, it creates a side effect.
  • Programs can be parallelized easily. Coming out as an added bonus of immutability, it's usually very simple to parallelize this type of program, since there is no shared state.

One possible disadvantage of having immutable data is that you can incur a performance penalty, as each time you need to change something, you must make a copy of it. This greatly depends on the implementation, and while this concern is generally valid, Elixir employs clever techniques when compiling your code to minimize this effect. For instance, in certain conditions, Elixir can just point to existing variables when creating new ones, as it knows all variables are immutable and will never change.

If you're overwhelmed with all this functional programming jargon, lie down and relax, as we will explore these concepts in greater detail throughout this book.

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