Working with Concurrency in Go (Golang)
What you'll learn
- Learn about the various ways Go makes working with concurrent programing simple
- Understand how concurrency works, and its advantages and pitfalls
- Learn how WaitGroups, Mutexes, and channels work
- Master concurrency by working with classic computer science problems, and by building a real-world example
- A good understanding of the Go programming language
- A Windows, Macintosh, or Linux computer with a connection to the Internet
Go, often referred to as Golang, is well-known for making it remarkably easy to work with concurrency. In order to make a particular function run concurrently, all we have to do is prepend the word "go" to the function call, and it cheerfully runs in the background, as a GoRoutine. Go's built in scheduler takes are of making sure that a given GoRoutine runs when it should, and as efficiently as it can.
However, this does not mean that working with concurrency is simple in Go—thread safe programming takes careful planning, and most importantly it requires that developers have an absolutely solid understanding of how Go deals with concurrency.
In the standard library, Go offers us several ways of dealing with concurrently running parts of our program, right in the standard library: sync.WaitGroup, which lets us wait for tasks to finish; sync.Mutex, which allows us to lock and unlock resources, so that no two GoRoutines can access the same memory location at the same time; and finally, Channels, which allow GoRoutines to send and receive data to and from each other.
Go's approach to concurrency is fairly straightforward, and is more or less summed up this mantra: Don't communicate by sharing memory; instead, share memory by communicating. Channels are the means by which we usually share memory by communicating.
In this course, we'll cover the use of WaitGroups, Mutexes, and Channels, and we'll do so in detail. We'll also cover some of the problems inherent in concurrency, including early program termination and race conditions. Initially, we'll gain a good understanding of how these things work by solving some of the classic problems found in the field of computer science, including the Dining Philosophers, the Producer/Consumer problem, and the Sleeping Barber. These problems are classics for a reason: they force a developer to figure out the best approach to working with code that run concurrently, or in parallel.
Finally, we'll finish the course out with a more "real-world" problem, where we have to register a customer for some kind of subscription service, and take care of invoicing, registration, and all the things necessary to get a new customer up and running. We'll do so, naturally, as quickly as we can by dividing the necessary tasks up into smaller tasks, and having them run concurrently.
Who this course is for:
- Go programmers who want to understand how Go works with concurrent programming
I have twenty years of experience in professional software development, and twenty years of experience as a University professor.
As an entrepreneur, I have worked with a broad range of clients, including Thomson Nelson, Hewlett Packard, the Royal Bank of Canada, Keybank, Sprint, and many, many others. I also have extensive management and project management experience. I have led teams of fifty developers and artists on multi-million dollar projects, and much smaller teams on much smaller projects.
As a professor, I have taught in a wide variety of course areas, including Computer Science, English, Irish, and American literature, and a number of "crossover" courses that bridge the liberal arts and technological fields.
I have won regional, national, and international awards for my work in the IT field, and have also won awards for my teaching and research as a University professor.