Practical Rust 1.x Cookbook

By Rustacean Team

Practical Rust 1.x Cookbook is an in-depth guide for experienced Rust programmers looking to create robust and efficient applications. This solution-focused book covers a wide range of topics, including command-line, webassembly, networking, kubernetes, microservices, and system programming.

This book includes over 100 real-world practical exercises that will teach you how to use the Rust compiler and command-line programming across every stage of software development. Each exercise is intended to reinforce Rust's potential for outperforming legacy applications and bridging the high performance gap. You'll learn about advanced solutions like asynchronous functions, API testing, CI/CD pipelines, Fuzz testing, and microservices architecture as you read the book. You'll also have the chance to put your knowledge to use by solving complex concurrent and parallel code challenges. You'll also get hands-on experience with many of Rust's built-in frameworks and libraries.

Practical Rust 1.x Cookbook is a must-have for both experienced and inexperienced Rust programmers looking to create high-performance and robust applications. This book will help you stay ahead of the curve in Rust programming by providing clear explanations, practical examples, and step-by-step illustrations. Get your copy today and start making the apps you've always wanted to make!

 

Key Learnings

• Employing declarative and procedural macros, pattern matching, and enums
• Create and test asynchronous code, error handling, and communication patterns.
• Working with deadlocks and livelocks, as well as implementing hash maps and parallel algorithms
• SOAP and REST API development, API orchestration, and performance monitoring
• API layering, middleware programming, and end-to-end API testing
• CI/CD, Docker registry, Kubernetes cluster, YAML files, and load balancers configuration
• Working with fuzz testing, checking syntax, and identifying code vulnerabilities

 

Table of Content

1. Setting Up and Configuring Rust Environment
2. Hands-on Traits, Enums and Struct
3. Pattern Matching, Concurrency, Pointers and Modules
4. Using Declarative and Procedural Macros
5. Implementing Concurrency and Multithreading
6. Asynchronous Programming
7. Developing REST and SOAP APIs
8. Building Microservices and Architectures
9. Working around CI/CD
10. Working around Kubernetes
11. Fuzz Testing and Static Analysis
12. Code Performance Optimization

• Language: English
• Publisher: GitforGits
• Release date: Feb 10, 2023
• ISBN: 9798215891995

Book preview

Practical Rust 1.x Cookbook

Practical Rust 1.x Cookbook

100+ Solutions across Command Line, CI/CD, Kubernetes, Networking, Code Performance and Microservices

Rustacean Team

Copyright © 2023 GitforGits

All rights reserved.

ISBN: 978-8196228521

Contents

Preface

Chapter 1: Setting up and Configuring Rust Environment

Recipe#1: Installing Rust Compiler

What Does Rust Compiler Do?

Install Rust Compiler and Tools

Recipe#2: Creating a New Rust Project

Files and Directories

Setting Up Rust Project After Installation

Recipe#3: Managing Dependencies to Your Project

What are Dependencies?

How to Add/Remove/Modify Dependencies?

Recipe#4: Installing Visual Studio Code IDE for Rust

Understanding VS Code IDE

Benefits of VS Code IDE for Rust Users

Why VS Code IDE for Rust?

Steps to Install VS Code

Recipe#5: Supporting Non-Rust Tools and Libraries

List of Non-Rust Libraries and Packages

Step-By-Step to Load and Implement Non-Rust Libraries

Recipe#6: Setting Up Code Testing Tools

List of Various Code Testing Tools

Install and Configure Code Testing Tools

Recipe#7: Installing and Configuring Cargo

What is Cargo?

Install Cargo Package Manager

Step-By-Step Configuring Cargo

Chapter 2: Hands-on Traits, Enums and Struct

Recipe#1: Working with Traits

How to Declare Traits?

Execute a Trait for Struct

Implement Different Types of Traits

Recipe#2: Define Function Inside Traits

Define Function Inside a Trait

Implement Function Within a Trait

Declare Generic Functions Inside a Trait

Recipe#3: How to Define Enums

Define Enums

Implement Enums

Fix Common Issues with Enums

Recipe#4: Tips and Considerations Regarding Enums

Declare Variant Values with Types and Fields

Pattern Match with ‘match’ Expression

Use of If Let Expressions

Recipe#5: Parsing and Interpreting Enum Arguments

Why to Parse Arguments?

How to Parse Enum Arguments?

Steps to Interpret Enum Arguments

Recipe#6: Initialize Array of Structs

Define Struct and Arrays of Struct

Initialize Array of Structs Using Loop

Initialize Array of Structs Using Trait

Initializing Using Loop and Trait

Recipe#7: Cloning Structs

What Is Cloning of Structs?

Implement Clone Trait for Struct

Chapter 3: Pattern Matching, Concurrency, Pointers and Modules

Recipe#1: Pattern Matching with Enum

Need of Pattern Matching with Enum

Implement Pattern Matching In Rust Applications

Recipe#2: Working with Tokio

Basics About Tokio

Installing and Configuring Tokio

Recipe#3: Writing Concurrent Programming

What Is Concurrency In Rust?

Procedure to Build Concurrent Programs

Implementing Concurrency to Existing Applications

Recipe#4: Working with Raw Pointers

Why Raw Pointers?

How to Use Raw Pointers In Rust Applications?

Use of  Multiple Raw Pointers

Recipe#5: Working with Smart Pointers

Understanding Smart Pointers

Smart Pointers Vs Raw Pointers?

How to Implement Smart Pointer In a Rust Program

Recipe#6: Using ‘mod’ Modules

Declaring Mod

Advantages of Using Mod

Implement Mod In Existing Rust Program?

Chapter 4: Using Declarative and Procedural Macros

Recipe#1: Declaring and Implementing Declarative Macros

Defining Declarative Macros

Creating Declarative Macro

Recipe#2: Debugging Declarative Macros

Steps to Debug Declarative Macro

How to Debug Series of Declarative Macros In Rust Programs

Recipe#3: Using Derive Macro for Implementing Traits

Understanding Derive Macro As An Procedural Macro

Implementing Derive Macros

Recipe#4: Using Function-Like Macros

Understanding Function-Like Macros

Implementing Function-Like Macro

Recipe#5: Using Attribute Macros

Understanding Attribute Macros

Implementing Attribute Macro

Recipe#6: Debugging Procedural Macros

Tips and Tricks to Debug Procedural Macros

Techniques of Debugging

Chapter 5: Implementing Concurrency and Multithreading

Recipe#1: Implementing Concurrent Threadsafe Queues

Using Arc>

Using Std::Sync::Mpsc::Channel()

Using Crossbeam::Channel::Bounded()

Recipe#2: Implementing Concurrent Hash Maps

Understanding Concurrent Hash Map

Arc>> for Concurrent Hash Map

Rayon for Concurrent Hash Map

Recipe#3: Using Synchronization Mechanisms

Using Mutual Exclusion Lock ‘mutex’

Using Read-Write Lock ‘rwlock’

Using Atomic

Recipe#4: Designing Efficient Parallel Algorithms

What are Parallel Algorithms?

Putting Parallel Algorithms Into Use

Designing  Parallel Algorithms From Scratch

Recipe#5: Debugging and Testing Concurrent Programs

Tips and Techniques to Test and Debug

Debugging Using ‘rayon’ and ‘crossbeam’

Recipe#6: Optimizing Concurrent Programs

Procedure Steps to Rust Optimization

Optimizing Rust Program Using Rayon

Recipe#7: Dealing with Deadlocks and Livelocks

Understanding Deadlocks and Livelocks

Chapter 6: Asynchronous Programming

Recipe#1: Defining Asynchronous Functions

Async Keyword

Programming Asynchronous Function

Recipe#2: Run Asynchronous Tasks

Executor

Using Tokio for Asynchronous Tasks

Recipe#3: Error Handling

Result Type: Ok and Err

Handling Errors Using Result Type

Recipe#4: Debugging Asynchronous Code

Tokio-test Crate

Testing Asynchronous Functions

Recipe#5: Working with Asynchronous I/O

I/O Operations

Performing Asynchronous I/O using Tokio

Recipe#6: Working with Channels and MPSC/SPSC Communication Patterns

Channels: MPSC and SPSC

Using Channel Function to Create MPSC (Multiple Producer, Single Consumer)

Recipe#7: Implementing Asynchronous Networking

Tasks of Asynchronous Networking

Implementing Asynchronous Networking

Recipe#8: Integrate with Asynchronous Libraries

Tools and Techniques for Integration

Using tokio-sync to Integrate Asynchronous Tasks

Chapter 7: Developing REST and SOAP APIs

Recipe#1: Creating SOAP APIs

What are SOAP API?

Benefits of SOAP API -

Creating SOP API Using ‘xml-Rs’

Recipe#2: Building RESTful APIs

What are REST API?

Benefits of REST API

Building REST API Using ‘serde’

Recipe#3: Automating API Documentation

Rust Tools and Libraries for API Documentation

Automating API Documentation Using ‘rustdoc’

Recipe#4: Managing API Orchestration

Need of API Orchestration

Managing API Orchestration Using Ocelot

Recipe#5: Adding Security to API

Need of Security to APIs

Ways to Secure APIs

Securing API Using Actix

Recipe#6: Monitoring API

API Performance Monitoring

Monitoring Errors In API

Checking API Usage

Chapter 8: Building Microservices & Architectures

Recipe#1: Applying Fine-Grained SOA

What Is Fine-Grained SOA?

Features of Fine-Grained SOA

Implement Fine-Grained SOA In Rust

Recipe#2: Layering APIs

What Is API Layering?

Implement API Layering

Recipe#3: Implementing Event-Driven Communication Pattern

What Is Event-Driven Communication?

Implementing Event-Driven Communication Pattern In Rust

Recipe#4: Programming Middlewares

Understanding Need of Middlewares

Programming Middlewares for Logging Service

Stacking Multiple Middlewares

Recipe#5: End-To-End API Testing

What Is API Testing?

Running End-To-End API Testing In Rust -

Recipe#6: Splitting Monoliths with Strangler Fig Pattern

What Is Splitting Monoliths?

Benefit of Splitting Monoliths

Strangler Fig Pattern Explained!

Implementing The Strangler Fig Pattern to Split Monoliths

Recipe#7: Autoscaling Rust Programs

Rust Libraries for Autoscaling Applications

Autoscaling Rust Applications with Tokio

Chapter 9: Working around CI/CD

Recipe#1: Setting Up a Version Control Repository

Choosing Version Control System

Setting Up Git Repo

Recipe#2: Configuring a CI/CD Pipeline

Understanding Continuous Integration and Continuous Delivery

Configuring CI/CD Pipeline Using GitHub Actions

Recipe#3: Customizing CI/CD Pipeline

Steps to Customize CI/CD

Recipe#4: Integrating CI/CD Pipeline with Databases and Message Queue

Procedure to Integrate CI/CD Pipeline

Use of MySQL, amiquip and RabbitMQ

Recipe#5: Setting Up Docker Hub Container Registry

What Is Docker Hub?

Understanding Container Registry

Steps to Setup Container Registry

Establishing Container Registry On Docker Hub

Chapter 10: Working around Kubernetes

Recipe#1: Setting Up a Kubernetes Cluster On-Premises

What Is Cluster?

What Is Kubernetes Cluster?

Establishing Kubernetes Cluster On-Premises

Recipe#2: Setting Up a Kubernetes Cluster On AWS

Using AWS CLI and kubeadm for Setting Up Kubernetes Cluster

Recipe#3: Setting Up a Kubernetes Cluster On Google Cloud

Using gcloud and kubeadm to Setup Kubernetes Cluster

Recipe#4: Setting Up a Kubernetes Cluster On Microsoft Azure

Using Azure CLI and kubeadm for Kubernetes Cluster

Recipe#5: Testing The Cluster Setup Across AWS, GCP and Azure

Procedure to Test the Kubernetes Cluster

Recipe#6: Writing Deployment Configuration YAML Files

Understanding YAML Files

Writing Deployment Configuration Files

Recipe#7: Setting Up Load Balancers

Need of Load Balancers

Steps to Establishing and Configuring Load Balancers

Installing and Configuring Load Balancers Using HAProxy

Recipe#8: Setting Up Monitoring and Logging  with Prometheus and Grafana

Installing and Configuring Prometheus

Installing and Configuring Grafana

Chapter 11: Fuzz Testing and Static Analysis

Recipe#1: Identify The Target System

Steps to Follow for Identification of Target System

Use of cargo-fuzz to Perform Fuzzing

Define Wrapper Function to Call Target System

Recipe#2: Identify Inputs

Understand The Format of The Input

Identify Inputs with cargo-fuzz

Recipe#3: Generate Fuzzed Data

What Is Fuzzed Data

Use of cargo-fuzz to Generate Fuzzed Data

Recipe#4: Best Practices to Run Fuzzing

Best Practices to Run Fuzz Testing

Recipe#5: Checking Syntax Errors

Various Techniques to Identify Syntax Errors

Executing Techniques to Spot Syntax Errors

Recipe#6: Detecting Coding Style Issues

Various Techniques to Detect Flaws In Coding Styles

Use of CodeScene and LGTM to Improve Coding Styles

Use of Rust Style Guidelines to Avoid Coding Style Issues

Recipe#7: Identifying Security Vulnerabilities

Techniques to Find Security Vulnerabilities

Using Static Analysis Tool, ‘Miri’ to Spot Vulnerabilities

Chapter 12: Code Performance Optimization

Recipe#1: Identify Performance Bottlenecks Using ‘perf’

What Is ‘perf’ Tool?

Running ‘perf’ Tool and Recording Performance Report

Recipe#2: Analyze Performance Bottlenecks Using ‘valgrind’

What Is Valgrind?

Analyzing Performance Bottlenecks Using ‘valgrind’

Recipe#3: Running Different Optimization Flags

What are Optimization Flags In Rust?

Different Types of Optimization Flags

How to Implement Optimization Flags In Rust Programs?

Recipe#4: Using SIMD Instructions for Efficient Performance

Understanding SIMD Instructions

What Is ‘simd’ Crate?

Using ‘simd’ Crate In Rust Application

Recipe#5: Overcoming Style Violations

Different Types of Style Violations

Steps to Remove Style Violations

Using ‘rustfmt’ and ‘clippy’ to Remove Style Violations

Recipe#6:  Use of Low-Level Optimization Techniques

Understanding Low-Level Optimization Techniques

Benefits of Low-Level Optimization Techniques

Using Low-Level Optimization Techniques In Rust Programs

Recipe#7: Utilizing External High Performance Libraries

List of External High Performance Libraries In Rust

Utilizing High Performance Libraries In Rust Programs

Preface

Practical Rust 1.x Cookbook is an in-depth guide for experienced Rust programmers looking to create robust and efficient applications. This solution-focused book covers a wide range of topics, including command-line, webassembly, networking, kubernetes, microservices, and system programming.

This book includes over 100 real-world practical exercises that will teach you how to use the Rust compiler and command-line programming across every stage of software development. Each exercise is intended to reinforce Rust's potential for outperforming legacy applications and bridging the high performance gap. You'll learn about advanced solutions like asynchronous functions, API testing, CI/CD pipelines, Fuzz testing, and microservices architecture as you read the book. You'll also have the chance to put your knowledge to use by solving complex concurrent and parallel code challenges. You'll also get hands-on experience with many of Rust's built-in frameworks and libraries.

Practical Rust 1.x Cookbook is a must-have for both experienced and inexperienced Rust programmers looking to create high-performance and robust applications. This book will help you stay ahead of the curve in Rust coding by providing clear explanations, practical examples, and step-by-step illustrations. Get your copy today and start making the apps you've always wanted to make!

This book will teach you how to:

Employing declarative and procedural macros, pattern matching, and enums

Create and test asynchronous code, error handling, and communication patterns.

Working with deadlocks and livelocks, as well as implementing hash maps and parallel algorithms

SOAP and REST API development, API orchestration, and performance monitoring

API layering, middleware programming, and end-to-end API testing

CI/CD, Docker registry, Kubernetes cluster, YAML files, and load balancers configuration

Working with fuzz testing, checking syntax, and identifying code vulnerabilities

This book is written by a team of Rust professionals with an intent to contribute and return back to both industry and academic research communities.

GitforGits

Prerequisites

This book assumes you have already begun with rust programming and working towards building error-free, robust and scalable programs. Rust is a modern, safe and efficient systems programming language that is widely used in industry and is a good choice for developers who want to build high-performance, concurrent, and safe systems.

Codes Usage

Are you in need of some helpful code examples to assist you in your programming and

documentation? Look no further! Our book offers a wealth of supplemental material, including code examples and exercises.

Not only is this book here to aid you in getting your job done, but you have our permission to use the example code in your programs and documentation. However, please note that if you are reproducing a significant portion of the code, we do require you to contact us for

Permission.

But don't worry, using several chunks of code from this book in your program or answering a question by citing our book and quoting example code does not require permission. But if you do choose to give credit, an attribution typically includes the title, author, publisher, and ISBN. For example, Practical Rust 1.x Cookbook by the Rustacean Team.

If you are unsure whether your intended use of the code examples falls under fair use or the permissions outlined above, please do not hesitate to reach out to us at [e-mail].

We are happy to assist and clarify any concerns.

Acknowledgement

The Rustacean team would express their gratitude to all of the other contributors to Rust and work tirelessly to improve the quality of the programming language. While they are doing this, they would want to express their gratitude to the copywriters, tech editors, and reviewers who helped create a powerful yet simple book that outperforms rust coding in a relatively short period of time.

Chapter 1: Setting up and Configuring Rust Environment

Recipe#1: Installing Rust Compiler

What Does Rust Compiler Do?

The Rust compiler is a piece of software that takes the source code written in Rust and converts it into machine code so that it can be run on a computer. The syntax and semantics of the source code are both validated by the Rust compiler to ensure that the code is accurate and well-formed. The executable file that contains the programme written in machine code will be generated by the compiler if the source code is correct.

Because it enables developers to write code in a high-level language and then have it translated into machine code that can be run on a computer, the Rust compiler is an essential component of the Rust development process. Rust is a computer programming language that was created by Mozilla. It also offers a number of additional features, such as error checking and optimization, to assist developers in writing high-quality code, and it does this in a number of different ways.

Install Rust Compiler and Tools

To install the Rust compiler and tools, you can follow these steps:

●       Download the Rust installer: You can download the Rust installer from the Rust website (https://www.rust-lang.org/). The installer is available for Windows, macOS, and Linux. You can follow the below steps -

○       Go to the Rust website (https://www.rust-lang.org/).

○       Click the Download button in the top right corner of the page.

○       Select the installer for your operating system (Windows, macOS, or Linux).

○       Download the installer by clicking the Download Rust button.

●       Run the installer: Once the installer has downloaded, you can run it to begin the installation process. Follow the below steps -

○       Once the download is complete, open the installer file.

○       Follow the prompts to install the Rust compiler and tools. This may include accepting a license agreement, choosing an installation location, and installing any additional