Go WaitGroup Tutorial

Elliot Forbes Elliot Forbes ⏰ 6 Minutes 📅 Dec 5, 2018

If you are just starting your journey about learning Go and how to implement highly concurrent, high-performance applications, then an understanding of WaitGroups is vital.

In this tutorial, we are going to be covering the following:

  • What WaitGroups are and when we should use them
  • A simple example of working with WaitGroups
  • A real world example of WaitGroups

By the end of this, you should have a solid grasp as to how to employ WaitGroups within your own concurrent Go applications.

Note - The full code for this tutorial can be found here: TutorialEdge/go-waitgroup-tutorial

Video Tutorial

Understanding WaitGroups

Let’s dive straight in and look at what a WaitGroup is and what problem it solves for us.

When you start writing applications in Go that leverage goroutines, you start hitting scenarios where you need to block the execution of certain parts of your code base, until these goroutines have successfully executed.

Take for example this code:

package main

import "fmt"

func myFunc() {
    fmt.Println("Inside my goroutine")
}

func main() {
    fmt.Println("Hello World")
    go myFunc()
    fmt.Println("Finished Execution")
}

It first prints out Hello World before triggering a goroutine and then finally printing out Finished Execution.

When you run this however, you should notice that when you run this program, it fails to reach line 6 and it never actually prints out Inside my goroutine. This is because the main function actually terminates before the goroutine gets a chance to execute.

The Solution? - WaitGroups

WaitGroups essentially allow us to tackle this problem by blocking until any goroutines within that WaitGroup have successfully executed.

We first call .Add(1) on our WaitGroup to set the number of goroutines we want to wait for, and subsequently, we call .Done() within any goroutine to signal the end of its' execution.

Note - You need to ensure that you call .Add(1) before you execute your goroutine.

A Simple Example

Now that we’ve covered the essential theory, let’s take a look at how we can fix our previous example through the use of WaitGroups:

package main

import (
    "fmt"
    "sync"
)

func myFunc(waitgroup *sync.WaitGroup) {
    fmt.Println("Inside my goroutine")
    waitgroup.Done()
}

func main() {
    fmt.Println("Hello World")

    var waitgroup sync.WaitGroup
    waitgroup.Add(1)
    go myFunc(&waitgroup)
    waitgroup.Wait()

    fmt.Println("Finished Execution")
}

As you can see, we’ve instantiated a new sync.WaitGroup and then called the .Add(1) method, before attempting to execute our goroutine.

We’ve updated the function to take in a pointer to our existing sync.WaitGroup and then called the .Done() method once we have successfully finished our task.

Finally, on line 19, we call waitgroup.Wait() to block the execution of our main() function until the goroutines in the waitgroup have successfully completed.

When we run this program, we should now see the following output:

$ go run main.go
Hello World
Inside my goroutine
Finished Execution

Anonymous Functions

It should be noted that we can accomplish the same thing as above using anonymous functions should we so wish. This can be more succinct and easier to read if the goroutine itself isn’t too complex:

package main

import (
    "fmt"
    "sync"
)

func main() {
    fmt.Println("Hello World")

    var waitgroup sync.WaitGroup
    waitgroup.Add(1)
    go func() {
        fmt.Println("Inside my goroutine")
        waitgroup.Done()
    }()
    waitgroup.Wait()

    fmt.Println("Finished Execution")
}

Again, if we run this it provides the same results:

$ go run main.go
Hello World
Inside my goroutine
Finished Execution

But, things start to get a little more complex when we do things this way when we need to input arguments into our function.

Say for example, we wanted to pass a URL into our function, we would have to pass that URL in like so:

go func(url string) {
  fmt.Println(url)
}(url)

This is just something to keep in mind if you ever face this issue.

A “Real” World Example

In one of my production applications, I was tasked with creating an API that interfaced with a tonne of other APIs and aggregated the results up into one response.

Each of these API calls took roughly 2-3 seconds to return a response and due to the sheer number of API calls I had to make, doing this synchronously was out of the question.

In order to make this endpoint usable, I would have to employ goroutines and perform these requests asynchronously.

package main

import (
    "fmt"
    "log"
    "net/http"
)

var urls = []string{
    "https://google.com",
    "https://tutorialedge.net",
    "https://twitter.com",
}

func fetch(url string) {
    resp, err := http.Get(url)
    if err != nil {
        fmt.Println(err)
    }
    fmt.Println(resp.Status)
}

func homePage(w http.ResponseWriter, r *http.Request) {
    fmt.Println("HomePage Endpoint Hit")
    for _, url := range urls {
        go fetch(url)
    }
    fmt.Println("Returning Response")
    fmt.Fprintf(w, "All Responses Received")
}

func handleRequests() {
    http.HandleFunc("/", homePage)
    log.Fatal(http.ListenAndServe(":8081", nil))
}

func main() {
    handleRequests()
}

However, when I first employed this tactic, I noticed that any calls I made to my API endpoint were returning before my goroutines had a chance to complete and populate the results.

This is where I learned of WaitGroups and dived deeper into the sync package.

By employing a WaitGroup I could effectively fix this unexpected behavior, and only return the results once all of my goroutines had finished.

package main

import (
    "fmt"
    "log"
    "net/http"
    "sync"
)

var urls = []string{
    "https://google.com",
    "https://tutorialedge.net",
    "https://twitter.com",
}

func fetch(url string, wg *sync.WaitGroup) (string, error) {
    resp, err := http.Get(url)
    if err != nil {
        fmt.Println(err)
        return "", err
    }
    wg.Done()
    fmt.Println(resp.Status)
    return resp.Status, nil
}

func homePage(w http.ResponseWriter, r *http.Request) {
    fmt.Println("HomePage Endpoint Hit")
    var wg sync.WaitGroup

    for _, url := range urls {
        wg.Add(1)
        go fetch(url, &wg)
    }

    wg.Wait()
    fmt.Println("Returning Response")
    fmt.Fprintf(w, "Responses")
}

func handleRequests() {
    http.HandleFunc("/", homePage)
    log.Fatal(http.ListenAndServe(":8081", nil))
}

func main() {
    handleRequests()
}

Now that I’ve added the WaitGroup to this endpoint, it will perform a HTTP GET request on all of the URLs listed and, only upon completion, will return a response to the client calling that particular endpoint.

$ go run wg.go
HomePage Endpoint Hit
200 OK
200 OK
200 OK
Returning Response

Note - There is more than one way to approach this problem, a similar effective outcome could have been achieve through the use of channels. For more on channels - Go Channels Tutorial

Conclusion

In this tutorial, we learned the basics of WaitGroups, including what they are and how we can use them within our own highly performant applications in Go.

If you enjoyed this tutorial or have any comments/suggestions, then please feel free to let me know in the comments section below, or in the suggestions section at the side!

Further Reading

If you enjoyed this article and wish to learn more about working with Concurrency in Go, then I recommend you check out our other articles on concurrency: