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Mastering Go – Third Edition

Mastering Go – Third Edition - Third Edition

By : Mihalis Tsoukalos
4.6 (16)
Buy this Book
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Mastering Go – Third Edition

Mastering Go – Third Edition

4.6 (16)
By: Mihalis Tsoukalos
Buy this Book

Overview of this book

Mastering Go is the essential guide to putting Go to work on real production systems. This freshly updated third edition includes topics like creating RESTful servers and clients, understanding Go generics, and developing gRPC servers and clients. Mastering Go was written for programmers who want to explore the capabilities of Go in practice. As you work your way through the chapters, you’ll gain confidence and a deep understanding of advanced Go concepts, including concurrency and the operation of the Go Garbage Collector, using Go with Docker, writing powerful command-line utilities, working with JavaScript Object Notation (JSON) data, and interacting with databases. You’ll also improve your understanding of Go internals to optimize Go code and use data types and data structures in new and unexpected ways. This essential Go programming book will also take you through the nuances and idioms of Go with exercises and resources to fully embed your newly acquired knowledge. With the help of Mastering Go, you’ll become an expert Go programmer by building Go systems and implementing advanced Go techniques in your projects.
Table of Contents (17 chapters)
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Preface
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Preface
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Who this book is for
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What this book covers
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To get the most out of this book
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Get in touch
1
A Quick Introduction to Go
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A Quick Introduction to Go
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Introducing Go
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Hello World!
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Running Go code
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Important characteristics of Go
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Developing the which(1) utility in Go
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Logging information
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Overview of Go generics
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Developing a basic phone book application
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Exercises
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Summary
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Additional resources
Lock Free Chapter
2
Basic Go Data Types
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Basic Go Data Types
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The error data type
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Numeric data types
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Non-numeric data types
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Go constants
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Grouping similar data
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Pointers
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Generating random numbers
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Updating the phone book application
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Exercises
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Summary
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Additional resources
3
Composite Data Types
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Composite Data Types
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Maps
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Structures
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Regular expressions and pattern matching
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Improving the phone book application
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Exercises
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Summary
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Additional resources
4
Reflection and Interfaces
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Reflection and Interfaces
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Reflection
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Type methods
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Interfaces
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Working with two different CSV file formats
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Object-oriented programming in Go
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Updating the phone book application
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Exercises
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Summary
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Additional resources
5
Go Packages and Functions
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Go Packages and Functions
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Go packages
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Functions
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Developing your own packages
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Using GitHub to store Go packages
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A package for working with a database
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Modules
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Creating better packages
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Generating documentation
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GitLab Runners and Go
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GitHub Actions and Go
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Versioning utilities
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Exercises
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Summary
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Additional resources
6
Telling a UNIX System What to Do
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Telling a UNIX System What to Do
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stdin, stdout, and stderr
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UNIX processes
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Handling UNIX signals
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File I/O
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Reading text files
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Writing to a file
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Working with JSON
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Working with XML
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Working with YAML
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The viper package
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The cobra package
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Finding cycles in a UNIX file system
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New to Go 1.16
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Updating the phone book application
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Exercises
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Summary
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Additional resources
7
Go Concurrency
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Go Concurrency
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Processes, threads, and goroutines
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The Go scheduler
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Goroutines
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Channels
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Race conditions
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The select keyword
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Timing out a goroutine
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Go channels revisited
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Shared memory and shared variables
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Closured variables and the go statement
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The context package
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The semaphore package
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Exercises
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Summary
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Additional resources
8
Building Web Services
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Building Web Services
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The net/http package
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Creating a web server
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Updating the phone book application
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Exposing metrics to Prometheus
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Developing web clients
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Creating file servers
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Timing out HTTP connections
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Exercises
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Summary
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Additional resources
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Working with TCP/IP and WebSocket
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Working with TCP/IP and WebSocket
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TCP/IP
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The net package
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Developing a TCP client
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Developing a TCP server
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Developing a UDP client
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Developing a UDP server
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Developing concurrent TCP servers
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Working with UNIX domain sockets
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Creating a WebSocket server
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Creating a WebSocket client
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Exercises
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Summary
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Additional resources
10
Working with REST APIs
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Working with REST APIs
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An introduction to REST
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Developing RESTful servers and clients
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Creating a functional RESTful server
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Creating a RESTful client
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Uploading and downloading binary files
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Using Swagger for REST API documentation
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Exercises
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Summary
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Additional resources
11
Code Testing and Profiling
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Code Testing and Profiling
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Optimizing code
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Benchmarking code
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Profiling code
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The go tool trace utility
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Testing Go code
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Testing an HTTP server with a database backend
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Fuzzing
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Cross-compilation
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Using go:generate
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Creating example functions
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Exercises
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Summary
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Additional resources
12
Working with gRPC
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Working with gRPC
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Introduction to gRPC
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Defining an interface definition language file
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Developing a gRPC server
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Developing a gRPC client
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Exercises
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Summary
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Additional resources
13
Go Generics
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Go Generics
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Introducing generics
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Constraints
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Defining new data types with generics
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Interfaces versus generics
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Reflection versus generics
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Exercises
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Summary
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Additional resources
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Other Books You May Enjoy
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Other Books You May Enjoy
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Index
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Index
1
Appendix A – Go Garbage Collector
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Appendix A – Go Garbage Collector
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Heap and stack
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Garbage collection
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Additional resources

Working with YAML

In this section, we briefly discuss how to work with YAML files in Go. The Go standard library does not include support for YAML files, which means that you should look at external packages for YAML support. There exist three main packages that allow you to work with YAML from Go:

Choosing one is a matter of personal preference. We are going to work with go-yaml in this section using the code found in yaml.go. Due to the use of Go modules, yaml.go is developed in ~/go/src/github.com/mactsouk/yaml—you can also find it in the GitHub repository of this book. The most important part of it is the next:

var yamlfile = `
image: Golang
matrix:
  docker: python
  version: [2.7, 3.9]
`

The yamlfile variable contains the YAML data; you usually read the data from a file—we are just using that to save some space...

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