Book Image

Mastering Go – Third Edition - Third Edition

By : Mihalis Tsoukalos
5 (2)
Book Image

Mastering Go – Third Edition - Third Edition

5 (2)
By: Mihalis Tsoukalos

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)
14
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15
Index

The Go scheduler

The OS kernel scheduler is responsible for the execution of the threads of a program. Similarly, the Go runtime has its own scheduler, which is responsible for the execution of the goroutines using a technique known as m:n scheduling, where m goroutines are executed using n OS threads using multiplexing. The Go scheduler is the Go component responsible for the way and the order in which the goroutines of a Go program get executed. This makes the Go scheduler a really important part of the Go programming language. The Go scheduler is executed as a goroutine.

Be aware that as the Go scheduler only deals with the goroutines of a single program, its operation is much simpler, cheaper, and faster than the operation of the kernel scheduler.

Go uses the fork-join concurrency model. The fork part of the model, which should not be confused with the fork(2) system call, states that a child branch can be created at any point of a program. Analogously...