Below is a struct of type Stuff. It has three ints. A Number
, its Double
and its Power
. Let's pretend that calculating the double and power of a given list of ints is an expensive computation.
type Stuff struct {
Number int
Double int
Power int
}
func main() {
nums := []int{2, 3, 4} // given numbers
stuff := []Stuff{} // struct of stuff with transformed ints
double := make(chan int)
power := make(chan int)
for _, i := range nums {
go doubleNumber(i, double)
go powerNumber(i, power)
}
// How do I get the values back in the right order?
fmt.Println(stuff)
}
func doubleNumber(i int, c chan int) {
c <- i + i
}
func powerNumber(i int, c chan int) {
c <- i * i
}
The result of fmt.Println(stuff)
should be the same as if stuff was initialized like:
stuff := []Stuff{
{Number: 2, Double: 4, Power: 4}
{Number: 3, Double: 6, Power: 9}
{Number: 4, Double: 8, Power: 16}
}
I know I can use <- double
and <- power
to collect values from the channels, but I don't know what double / powers belong to what numbers.
The most natural way to fetch a value from a goroutine is channels. Channels are the pipes that connect concurrent goroutines. You can send values into channels from one goroutine and receive those values into another goroutine or in a synchronous function.
First, you will create a program that uses goroutines to run multiple functions at once. Then you will add channels to that program to communicate between the running goroutines. Finally, you'll add more goroutines to the program to simulate a program running with multiple worker goroutines.
The execution starts from the main function. As soon as it encounters the go keyword, it creates a separate Goroutine which adds another Go thread to the application. This thread is responsible for executing the function on a separate concurrent thread.
Goroutines run concurrently, independently, so without explicit synchronization you can't predict execution and completion order. So as it is, you can't pair returned numbers with the input numbers.
You can either return more data (e.g. the input number and the output, wrapped in a struct for example), or pass pointers to the worker functions (launched as new goroutines), e.g. *Stuff
and have the goroutines fill the calculated data in the Stuff
itself.
I will use a channel type chan Pair
where Pair
is:
type Pair struct{ Number, Result int }
So calculation will look like this:
func doubleNumber(i int, c chan Pair) { c <- Pair{i, i + i} }
func powerNumber(i int, c chan Pair) { c <- Pair{i, i * i} }
And I will use a map[int]*Stuff
because collectable data comes from multiple channels (double
and power
), and I want to find the appropriate Stuff
easily and fast (pointer is required so I can also modify it "in the map").
So the main function:
nums := []int{2, 3, 4} // given numbers
stuffs := map[int]*Stuff{}
double := make(chan Pair)
power := make(chan Pair)
for _, i := range nums {
go doubleNumber(i, double)
go powerNumber(i, power)
}
// How do I get the values back in the right order?
for i := 0; i < len(nums)*2; i++ {
getStuff := func(number int) *Stuff {
s := stuffs[number]
if s == nil {
s = &Stuff{Number: number}
stuffs[number] = s
}
return s
}
select {
case p := <-double:
getStuff(p.Number).Double = p.Result
case p := <-power:
getStuff(p.Number).Power = p.Result
}
}
for _, v := range nums {
fmt.Printf("%+v\n", stuffs[v])
}
Output (try it on the Go Playground):
&{Number:2 Double:4 Power:4}
&{Number:3 Double:6 Power:9}
&{Number:4 Double:8 Power:16}
Since now we're passing *Stuff
values, we can "pre-fill" the input number in the Stuff
itself.
But care must be taken, you can only read/write values with proper synchronization. Easiest is to wait for all "worker" goroutines to finish their jobs.
var wg = &sync.WaitGroup{}
func main() {
nums := []int{2, 3, 4} // given numbers
stuffs := make([]Stuff, len(nums))
for i, n := range nums {
stuffs[i].Number = n
wg.Add(2)
go doubleNumber(&stuffs[i])
go powerNumber(&stuffs[i])
}
wg.Wait()
fmt.Printf("%+v", stuffs)
}
func doubleNumber(s *Stuff) {
defer wg.Done()
s.Double = s.Number + s.Number
}
func powerNumber(s *Stuff) {
defer wg.Done()
s.Power = s.Number * s.Number
}
Output (try it on the Go Playground):
[{Number:2 Double:4 Power:4} {Number:3 Double:6 Power:9} {Number:4 Double:8 Power:16}]
Also note that since you can write different array or slice elements concurrently (for details see Can I concurrently write different slice elements), you can write the results directly in a slice without channels. See Refactor code to use a single channel in an idiomatic way how this can be done.
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With