Reactive Extensions for the Go Language
The development of RxGo v2 has started (v2
branch). Ongoing discussions can be found in #99.
We are welcoming anyone who's willing to help us maintaining or would like to become a core developer to get in touch with us.
All contributions are welcome, both in development and documentation! Be sure you check out contributions and roadmap.
ReactiveX, or Rx for short, is an API for programming with observable streams. This is a ReactiveX API for the Go language.
ReactiveX is a new, alternative way of asynchronous programming to callbacks, promises and deferred. It is about processing streams of events or items, with events being any occurrences or changes within the system.
In Go, it is simpler to think of a observable stream as a channel which can
Subscribe
to a set of handler or callback functions.
The pattern is that you Subscribe
to an Observable
using an Observer
:
subscription := observable.Subscribe(observer)
An Observer
is a type consists of three EventHandler
fields, the NextHandler
, ErrHandler
, and DoneHandler
, respectively. These handlers can be evoked with OnNext
, OnError
, and OnDone
methods, respectively.
The Observer
itself is also an EventHandler
. This means all types mentioned can be subscribed to an Observable
.
nextHandler := func(item interface{}) interface{} {
if num, ok := item.(int); ok {
nums = append(nums, num)
}
}
// Only next item will be handled.
sub := observable.Subscribe(handlers.NextFunc(nextHandler))
NOTE: Observables are not active in themselves. They need to be subscribed to make something happen. Simply having an Observable lying around doesn't make anything happen, like sitting and watching time flies.
go get -u github.com/reactivex/rxgo
Certain types, such as observer.Observer
and observable.Observable
are organized into subpackages for namespace-sake to avoid redundant constructor like NewObservable
.
import (
"github.com/reactivex/rxgo"
"github.com/reactivex/rxgo/observer"
"github.com/reactivex/rxgo/observable"
"github.com/reactivex/rxgo/iterable"
//...
)
watcher := observer.Observer{
// Register a handler function for every next available item.
NextHandler: func(item interface{}) {
fmt.Printf("Processing: %v\n", item)
},
// Register a handler for any emitted error.
ErrHandler: func(err error) {
fmt.Printf("Encountered error: %v\n", err)
},
// Register a handler when a stream is completed.
DoneHandler: func() {
fmt.Println("Done!")
},
}
it, _ := iterable.New([]interface{}{1, 2, 3, 4, errors.New("bang"), 5})
source := observable.From(it)
sub := source.Subscribe(watcher)
// wait for the channel to emit a Subscription
<-sub
The above will:
- print the format string for every number in the slice up to 4.
- print the error "bang"
It is important to remember that only an OnError
or OnDone
can be called in a
stream. If there's an error in the stream, the processing stops and OnDone
will
never be called, and vice versa.
The concept is to group all side effects into these handlers and let an Observer
or any EventHandler
to handle them.
package main
import (
"fmt"
"github.com/reactivex/rxgo/handlers"
"github.com/reactivex/rxgo/observable"
"github.com/reactivex/rxgo/observer"
)
func main() {
score := 9
onNext := handlers.NextFunc(func(item interface{}) {
if num, ok := item.(int); ok {
score += num
}
})
onDone := handlers.DoneFunc(func() {
score *= 2
})
watcher := observer.New(onNext, onDone)
// Create an `Observable` from a single item and subscribe to the observer.
sub := observable.Just(1).Subscribe(watcher)
<-sub
fmt.Println(score) // 20
}
FlatMap example:
package main
import (
"fmt"
"github.com/reactivex/rxgo/handlers"
"github.com/reactivex/rxgo/observable"
"github.com/reactivex/rxgo/observer"
)
func main() {
primeSequence := observable.Just([]int{2, 3, 5, 7, 11, 13})
<-primeSequence.
FlatMap(func(primes interface{}) observable.Observable {
return observable.Create(func(emitter *observer.Observer) {
for _, prime := range primes.([]int) {
emitter.OnNext(prime)
}
emitter.OnDone()
})
}, 1).
Last().
Subscribe(handlers.NextFunc(func(prime interface{}) {
fmt.Println("Prime -> ", prime)
}))
}
Please check out the examples to see how it can be applied to reactive applications.
An Observable
is a synchronous stream of "emitted" values which can be either an empty interface{} or error. Below is how an Observable
can be visualized:
time -->
(*)-------------(o)--------------(o)---------------(x)----------------|>
| | | | |
Start value value error Done
In RxGo, it's useful to think of Observable
and Connectable
as channels with additional ability to Subscribe
handlers. In fact, they are basically channels. When Subscribe
method is called on a Observable
(or Connect
method in case of Connectable
), one or more goroutines are spawned to handle asynchronous processing.
Most Observable methods and operators will return the Observable itself, making it chainable.
f1 := func() interface{} {
// Simulate a blocking I/O
time.Sleep(2 * time.Second)
return 1
}
f2 := func() interface{} {
// Simulate a blocking I/O
time.Sleep(time.Second)
return 2
}
onNext := handlers.NextFunc(func(v interface{}) {
val := encodeVal(v)
saveToDB(val)
})
wait := observable.Start(f1, f2).Subscribe(onNext)
sub := <-wait
if err := sub.Err(); err != nil {
saveToLog(err)
}