Rxjs swetugg

Rxjs
Christoffer Noring
Google Developer Expert
@chris_noring

Why Rxjs?
We want to deal with async in a “synchronous looking way”
We want something better than promises
We want one paradigm for async to rule them all

nce upon a time in async land
There were callbacks
Callbacks turned into callback hell

Promises to the rescue
service
.getData()
.then(getMoreData)
.then(getEvenMore)
.then(andSomeMore)
Looks great right?

But promises were flawed
No cancellation
eal with other async concepts like mouse positions, clicks, use
No rich composition
And brexit happened
Cumbersome to retry
Only returns one value

Help us Observables
You’re my only hope

What is an observable
Observable is just a function
that takes an observer and returns a function
Observer: an object with next, error, complete methods
Rx.Observable.create((observer) => {
observer.next(1);
observer.error(‘error’);
observer.complete();
})
1 2 3 4 5 6 7
stream of value over time

Promise
vs Array
vs Observable
list
.map( x = > x.prop )
.filter( x => x > 2 )
.take( 2 )
Array
list
.map( x = > x.prop )
.filter( x => x > 2 )
.take( 2 )
.subscribe(
x => console.log(x),
err => console.log(err) )
Observable
Promise
service.get()
.then( x => console.log(x) )
.catch( err => console.log(err) ) but can also
- Cancelled
- Retried
Array like,
handles async

So pretty much linq with
async

Everything is a stream(s)
and we can bend it to our will

Rx.Observable.create(
fnValue,,
fnError,,
fnCompleted
)
Observable signature

var stream = Rx.Observable.create((observer) =>{
})})
Emits
stream
.subscribe(
(data) => { console.log( data ); }
)
1
next()
observer.next(1);
2
next()
observer.next(2);
3
next()
observer.next(3);

})
stream
.subscribe(
(err) => { console.log(err); }
)
Emits 1
next()
observer.next(1);
error message
error()
observer.error(‘something went wrong’)

})})
stream
.subscribe(
(err) => { console.log(err) },
() => { console.log(‘completed’) }
)
Emits 1
next()
observer.next(1);
complete()

Disposing
cleaning up after us

You will always create
an observable from something

Rx.Observable.fromArray([ 1,2,3,4 ])
Rx.Observable.fromEvent(element, ‘event’);
Rx.Observable.fromArray(eventEmitter, ‘data’, function(){})
Rx.Observable.fromNodeCallback(fs.createFile)
Rx.Observable.fromCallback(obj.callback)
Rx.Observable.fromPromise(promise)
Rx.Observable.fromIterable(function *() { yield 20 })
Rx.Observable.range(1,3)
Rx.Observable.interval(miliseconds)

Wrap an observable
next()
error()
complete()

Cold Observable
recorded tv show
Hot observable
Live streaming
eg World Cup Final

Observables are cold by default,
unless you make them hot
var stream = Rx.Observable.interval(1000);
stream.subscribe(
(val) => { console.log('Subscriber 1', val);}
);
stream.subscribe(
(val) => { console.log('Subscriber 2', val); }
);
var stream = Rx.Observable
.interval(1000)
.publish();
stream.subscribe((val) => {
console.log('Subscriber 1', val);
});
setTimeout(function() {
stream.connect();
}, 2000);
setTimeout(() => {
stream.subscribe((val) => {
console.log('Value', val);
});
}, 4000);
Subscriber 2 Values 0 1 2 3 4
Subscriber 1 Values 0 1 2 3 4
0 1 2 3 4 5 6
3 4 5 6

You can create an observable
from almost any async concept
Operators however gives it
its power
Remember:
But:

Operators
makes your code look like linq

120+ operators Rxjs 4
60+ Rxjs 5
Combination
Conditional
Multicasting
Filtering
Transformation
Utility
Categories
in production

Marble diagram
how does that operator work

Operator
Most operators are covered at rxmarbles.com
Stream 1 2 3
Other stream 4 5
Resulting stream 1 2 3 4 5

Operator example
var stream = Rx.Observable.of(1,2,3,4,5);
stream
stream.subscribe((data) => { console.log(‘data’); })
Operators :
map()
filter()
3
Emits
6
.map((val) => {
return val + 1;
})
changes the value
.filter((val) => {
return val % 3 === 0;
})
filters out values

Do
var stream = Rx.Observable.of(1,2,3,4,5);
var subscription = stream
.filter(function(val){
return val % 2 === 0;
});
subscription.subscribe(function(val){
console.log('Val',val);
})
Echos every value
without changing it,
used for logging
.do((val) => {
console.log('Current val', val);
})
Current val 1
Current val 2
Current val 3
Current val 4
Current val 5
Subscribe:
2
4

Delay
Delay,
the whole sequence
stream
.subscribe( (val) => {
var newTime = new Date().getTime();
console.log('Delayed', val + " " + (newTime - time));
})
Rx.Observable.merge(
).subscribe((val) => {
var newTime = new Date().getTime();
console.log('Merged Delay', val + " " + (newTime - time));
})
….. 1 second
1
2
3
….. 1 second
Marco
….. 2 second
Polo
.delay(1000)
Rx.Observable.of('Marco').delay(1000),
Rx.Observable.of('Polo').delay(2000)

combineLatest
var stream = Rx.Observable.fromArray([1,2,3,4]);
var stream2 = Rx.Observable.fromArray([5,6,7,8]);
var combineLatest = Rx.Observable
combineLatest.subscribe( function(val) {
console.log( 'combine ', val )
})
[1,5], [2,6], [3,7], [4,8]
.combineLatest(
stream,
stream2
);

debounce
var debounceTime = Rx.Observable
.fromEvent(button,'click')
debounceTime.subscribe( function(){
console.log('mouse pressed');
})
waits x ms and
returns latest emitted
Ignores all generated
mouse click events
for 2 seconds.debounce(2000);
Clicking save button
2secclick click click click click
save()

takeUntil
.subscribe(
(err) => {},
)
var mouseUp = Rx.Observable.fromEvent(button,'mouseup');
Break condition
.takeUntil( mouseUp )
() =>{ console.log('condition fulfilled'); }
Generate numbers
var mousePressedTimer = Rx.Observable.interval(1000);
triggers every secondmousePressedTimer
(val) =>{ console.log('mouse up has NOT happened yet’,val); },

var throttle = Rx.Observable
.interval( 1000 )
.throttle( 1000 );
throttle.subscribe(
(val) => { console.log('Throttle', val );}
);
throttle
Delay every value
by x milliseconds
1 2 3 4
1 2

buffer
let numbers = Rx.Observable.interval(1000);
let bufferBy = Rx.Observable.fromEvent(document,'click');
let buffered = numbers.buffer( bufferBy );
buffered.subscribe(
);
Numbers are generated to a buffer
until condition is met,
then the buffer content is emitted
Generate value to buffer
Release all values
(values) => { console.log(‘Buffered',values);}

switchMap
Switch map,
complete something based on a condition
breakCondition = Rx.Observable.fromEvent(document,'click');
breakCondition.switchMap((val) => {
return Rx.Observable.interval(3000).mapTo(‘Do this');
})
breakCondition.subscribe((val) => {
console.log('Switch map', val);
})
Intended action is completed/restarted
by ‘breakCondition’
etc..
Do this
Do this
Do this
Do this
Do this
click
click

source.subscribe((data) => {
console.log( data );
})
flatMap
let source = Rx.DOM.getJSON( 'data2.json' )
return Rx.Observable.fromArray( data ).map((row) => {
return row.props.name;
});
return observable
.flatMap((data) => {
} );
We get an array response that we want to emit row by row
We use flatMap instead of map because :
We want to flatten our list to one stream

flatMap explained
when you create a list of observables flatMap flattens that list s
Great when changing from one type of stream to another
Without it you would have to listen to every single substream, w
eve
nt
eve
nt
eve
nt
eve
nt
ajax ajax ajax ajax
json json json json
flatMap
map

Problem : Autocomplete
Listen for keyboard presses
Filter so we only do server trip after x number of
chars are entered
Do ajax call based on filtered input
Cash responses,
don’t do unnecessary calls to http server

Stream modeling
key key key key key key
FILTER
AJAX CALL
jso
n
jso
n
MAP
key key key key key key key
respons
e
respons
e

flatmapExample = Rx.Observable.fromEvent(input,'keyup')
flatmapExample.subscribe(
(result) =>{ console.log('Flatmap', result); buildList( result ) }
)
more fluent
Transform event to char.map((ev) => {
return ev.target.value;
})
Wait until we have 3 chars
.filter(function(text){
return text.length >=3;
})
Only perform search if this ‘search’ is unique.distinctUntilChanged()
Excellent to use when
coming from
one stream to another
.switchMap((val) => {
return Rx.DOM.getJSON( 'data3.json' );
})

Error handling
when streams fail

Error handling
kills the stream
var errStream = Rx.Observable.throw('Error');
observer.next(1);
})
var merged = Rx.Observable
.merge( errStream, stream )
merged.subscribe(
(val) => { console.log('Val', val);},
(err) => { console.log('Err', err);},
() => { console.log('completed');
})
Captured here but sequence
interrupted,
completed NOT reached

Error handling
better, but can be improved
var errStream = Rx.Observable.throw('Error');
observer.onNext(1);
})
var merged = Rx.Observable
.merge( errStream, stream )
merged.subscribe(
(val) => { console.log('Val', val); },
(err) => { console.log('Err', err); },
)
stream not processed though
can we improve it?
Completed reach, stream never
emits its values though
() => { console.log(‘completed'); }
.catch((err) => {
return Rx.Observable.of(err);
});

Error handling
wrap error stream before merge
var errStream = Rx.Observable
.throw('AAA thump..')
.catch(function(err){
return Rx.Observable.of(err);
});
merged.subscribe(
(val) => { console.log('Val', val); },
(err) => { console.log('Err', err); },
)
() => { console.log(‘completed'); }
all values are emitted

Error
ignoring
You have several sources and two terminates
You want the other normal source to work
var errStream = Rx.Observable
.throw('AAA thump..');
var errStreamWithFlattenedData =
Rx.Observable
.interval(500)
.take(3)
.flatMap((val) => {
if( val === 1 ) {
return Rx.Observable.throw('crashing');
}
else {
return Rx.Observable.return(val);
}
})
var normalStream = Rx.Observable.return('anything');
var handledErrorStream = Rx.Observable
.onErrorResumeNext(
errStream,
normalStream,
errStreamWithFlattenedData );
handledErrorStream.subscribe(
(val) =>{ console.log('error stream ignored', val);},
(err) => { console.log("error stream ignored, error",err);},
() => { console.log("completion of error stream ignored”);}
)

Error handling
retry
let stream = Rx.Observable.interval(1000)
.take(6);
.map((n) => {
if(n === 2) {
throw 'ex';
}
return n;
})
Produce error
.retry(2)
Number of tries
before hitting error callback
stream.subscribe(
(data) => console.log(data)
(error) => console.log(error)
1
Emits
3
Makes x attempts before error cb is called

Error handling
retryWhen, delay between attempts
let stream = Rx.Observable.interval(1000)
.take(6);
delay, 200 ms.retryWhen((errors) => {
return errors.delay(200);
})
.map((n) => {
if(n === 2) {
throw 'ex';
}
return n;
})
produce an error when
= 2
stream.subscribe(
(data) => console.log(data)
(error) => console.log(error)

What about schedulers and
testing?
Because scheduler has its own virtual clock
Anything scheduled on that scheduler
will adhere to time denoted on the clock
I.e we can bend time for ex unit testing

Schedulers
testingvar testScheduler =
new Rx.TestScheduler();
var stream =
Rx.Observable
.interval(1000, testScheduler)
.take(5)
.map((val) => {
return val + 1
})
.filter((i) => {
return i % 2 === 0
});
var result;
stream.subscribe((val) => result = val );
console.log('testing function’);
testScheduler.advanceBy(1000);
console.log('Should equal', result === 4);
increment operator
assert
console.log('Should equal', result === 2);

.then vs .subscribe
getData()
.then(
)
getData().subscribe(
)
I will keep on streaming values
(data) => console.log(data),
(data) => console.log(data),
(err) => console.log(err) (err) => console.log(err)

Cascading calls
Response:
//getUser
stream
.subscribe((orderItem) => {
console.log('OrderItem',orderItem.id);
})
{ id: 11, userId : 1 }.then(getOrderByUser)
.switchMap((user) => {
//getOrder
return Rx.Observable.of({ id : 11, userId : user.id }).delay(3000)
})
{ id: 123, orderId : 11 }.then(getOrderItemByOrder)
.switchMap((order) => {
//getOrderItem
return Rx.Observable.of({ id: 114, orderId: order.id })
})
{ id: 1 }getUser()
var stream = Rx.Observable.of({ id : 1 });
So we can see the
first user observable
being dropped when
user 2 is emitted

Short word on switchMap
is to ensure we throw away the other calls when a new user is em
We don’t want
getUser
getOrderByUser
getOrderItemByOrder
to complete if a new user is emitted
1 2 3
2 4 5
Not continued
Replaces above
stream

Cascading call
wait for the first
.subscribe(
(data) => {
console.log( 'orders', data[0] );
console.log( 'messages', data[0] );
}
)
var stream = Rx.Observable.of([{ id : 1 }, { id : 2 }]);
getUser()
We wait for user
function getOrdersAndMessages(user){
return Promise.all([
getOrdersByUser( user.id ),
getMessagesByUser( user.id )
])
}
.then(getOrdersAndMessages)
stream.switchMap((user) => {
return Rx.Observable.forkJoin(
Rx.Observable.of([ { id: 1, userId : user.id } ]).delay(500), // orders
Rx.Observable.of([ { id: 100, userId : user.id } ]).delay(1500) //messages
)
})
Calls to orders and message
can happen in parallel
Orders,Messages
arrive at the same time

Rxjs
An elegant weapon for a
more civilized age
Remember..

Rxjs swetugg

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