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Crystal Programming

Crystal Programming

By : George Dietrich, Bernal
5 (1)
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Crystal Programming

Crystal Programming

5 (1)
By: George Dietrich, Bernal

Overview of this book

Crystal is a programming language with a concise and user-friendly syntax, along with a seamless system and a performant core, reaching C-like speed. This book will help you gain a deep understanding of the fundamental concepts of Crystal and show you how to apply them to create various types of applications. This book comes packed with step-by-step explanations of essential concepts and practical examples. You'll learn how to use Crystal’s features to create complex and organized projects relying on OOP and its most common design patterns. As you progress, you'll gain a solid understanding of both the basic and advanced features of Crystal. This will enable you to build any application, including command-line interface (CLI) programs and web applications using IOs, concurrency and C bindings, HTTP servers, and the JSON API. By the end of this programming book, you’ll be equipped with the skills you need to use Crystal programming for building and understanding any application you come across.
Table of Contents (26 chapters)
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1
Part 1: Getting Started
5
Part 2: Learning by Doing – CLI
10
Part 3: Learn by Doing – Web Application
13
Part 4: Metaprogramming
18
Part 5: Supporting Tools

Performance testing

For the benchmark, I will be using the GNU implementation of the time utility, with the –v option for verbose output. For the input data, I'll be using the invItems.yaml file, which can be found in this chapter's folder on GitHub. The input data does not really matter as long as it is YAML, but I chose this data because it was fairly large, coming in at 53.2 MB. To perform the benchmark, we will follow these steps:

  1. Start with the old version of the code, so be sure to revert to the old code before continuing.
  2. Build the binary in release mode via shards build --release. Since we want to test the performance of our application and not jq, we are just going to use the identity filter so as to not give jq extra work.
  3. Run the benchmark via /usr/bin/time -v ./bin/transform . invItems.yaml > /dev/null. Given we do not care about the actual output, we are just redirecting the output to /dev/null. This command will output quite a bit of...

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