Reactive Caching of HTTP Service

Question

I am using RsJS 5 (5.0.1) to cache in Angular 2. It works well.

The meat of the caching function is:

const observable = Observable.defer(
    () => a         


        

Answer 1

See this demo: https://jsbin.com/todude/10/edit?js,console

Notice that I'm trying to get cached results at 1200ms when the case is invalidated and then at 1300ms when the previous request is still pending (it takes 200ms). Both results are received as they should.

This happens because when you subscribe and the publishReplay() doesn't contain any valid value it won't emit anything and won't complete immediately (thanks to take(1)) so it needs to subscribe to its source which makes the HTTP requests (this in fact happens in refCount()).

Then the second subscriber won't receive anything as well and will be added to the array of observers in publishReplay(). It won't make another subscription because it's already subscribed to its source (refCount()) and is waiting for response.

So the situation you're describing shouldn't happen I think. Eventually make a demo that demonstrates your problem.

EDIT:

Emitting both invalidated item and fresh items

The following example shows a little different functionality than the linked example. If the cached response is invalidated it'll be emitted anyway and then it receives also the new value. This means the subscriber receives one or two values:

• 1 value: The cached value
• 2 values: The invalidated cached value and then new a fresh value that'll be cached from now on.

The code could look like the following:

let counter = 1;
const RECACHE_INTERVAL = 1000;

function mockDataFetch() {
  return Observable.of(counter++)
    .delay(200);
}

let source = Observable.defer(() => {
  const now = (new Date()).getTime();

  return mockDataFetch()
    .map(response => {
      return {
        'timestamp': now,
        'response': response,
      };
    });
});

let updateRequest = source
  .publishReplay(1)
  .refCount()
  .concatMap(value => {
    if (value.timestamp + RECACHE_INTERVAL > (new Date()).getTime()) {
      return Observable.from([value.response, null]);
    } else {
      return Observable.of(value.response);
    }
  })
  .takeWhile(value => value);


setTimeout(() => updateRequest.subscribe(val => console.log("Response 0:", val)), 0);
setTimeout(() => updateRequest.subscribe(val => console.log("Response 50:", val)), 50);
setTimeout(() => updateRequest.subscribe(val => console.log("Response 200:", val)), 200);
setTimeout(() => updateRequest.subscribe(val => console.log("Response 1200:", val)), 1200);
setTimeout(() => updateRequest.subscribe(val => console.log("Response 1300:", val)), 1300);
setTimeout(() => updateRequest.subscribe(val => console.log("Response 1500:", val)), 1500);
setTimeout(() => updateRequest.subscribe(val => console.log("Response 3500:", val)), 3500);

See live demo: https://jsbin.com/ketemi/2/edit?js,console

This prints to console the following output:

Response 0: 1
Response 50: 1
Response 200: 1
Response 1200: 1
Response 1300: 1
Response 1200: 2
Response 1300: 2
Response 1500: 2
Response 3500: 2
Response 3500: 3

Notice 1200 and 1300 received first the old cached value 1 immediately and then another value with the fresh 2 value.
On the other hand 1500 received only the new value because 2 is already cached and is valid.

The most confusing thing is probably why am I using concatMap().takeWhile(). This is because I need to make sure that the fresh response (not the invalidated) is the last value before sending complete notification and there's probably no operator for that (neither first() nor takeWhile() are applicable for this use-case).

Emitting only the current item without waiting for refresh

Yet another use-case could be when we want to emit only the cached value while not waiting for fresh response from the HTTP request.

let counter = 1;
const RECACHE_INTERVAL = 1000;

function mockDataFetch() {
  return Observable.of(counter++)
    .delay(200);
}

let source = Observable.defer(() => {
  const now = (new Date()).getTime();

  return mockDataFetch()
    .map(response => {
      return {
        'timestamp': now,
        'response': response,
      };
    });
});

let updateRequest = source
  .publishReplay(1)
  .refCount()
  .concatMap((value, i) => {
    if (i === 0) {
      if (value.timestamp + RECACHE_INTERVAL > (new Date()).getTime()) { // is cached item valid?
        return Observable.from([value.response, null]);
      } else {
        return Observable.of(value.response);
      }
    }
    return Observable.of(null);
  })
  .takeWhile(value => value);


setTimeout(() => updateRequest.subscribe(val => console.log("Response 0:", val)), 0);
setTimeout(() => updateRequest.subscribe(val => console.log("Response 50:", val)), 50);
setTimeout(() => updateRequest.subscribe(val => console.log("Response 200:", val)), 200);
setTimeout(() => updateRequest.subscribe(val => console.log("Response 1200:", val)), 1200);
setTimeout(() => updateRequest.subscribe(val => console.log("Response 1300:", val)), 1300);
setTimeout(() => updateRequest.subscribe(val => console.log("Response 1500:", val)), 1500);
setTimeout(() => updateRequest.subscribe(val => console.log("Response 3500:", val)), 3500);
setTimeout(() => updateRequest.subscribe(val => console.log("Response 3800:", val)), 3800);

See live demo: https://jsbin.com/kebapu/2/edit?js,console

This example prints to console:

Response 0: 1
Response 50: 1
Response 200: 1
Response 1200: 1
Response 1300: 1
Response 1500: 2
Response 3500: 2
Response 3800: 3

Notice that both 1200 and 1300 receive value 1 because that's the cached value even though it's invalid now. The first call at 1200 just spawns a new HTTP request without waiting for its response and emits only the cached value. Then at 1500 the fresh value is cached so it's just reemitted. The same applies at 3500 and 3800.

Note, that the subscriber at 1200 will receive the next notification immediately but the complete notification will be sent only after the HTTP request has finished. We need to wait because if we sent complete right after next it'd make the chain to dispose its disposables which should also cancel the HTTP request (which is what we definitely don't want to do).

Answer 2

Updated answer:

If always want to use the previous value while a new request is being made then can put another subject in the chain which keeps the most recent value.

You can then repeat the value so it is possible to tell if it came from the cache or not. The subscriber can then filter out the cached values if they are not interested in those.

// Take values while they pass the predicate, then return one more
// i.e also return the first value which returned false
const takeWhileInclusive = predicate => src =>
  src
  .flatMap(v => Observable.from([v, v]))
  .takeWhile((v, index) =>
     index % 2 === 0 ? true : predicate(v, index)
  )
  .filter((v, index) => index % 2 !== 1);

// Source observable will still push its values into the subject
// even after the subscriber unsubscribes
const keepHot = subject => src =>
  Observable.create(subscriber => {
    src.subscribe(subject);

    return subject.subscribe(subscriber);
  });

const cachedRequest = request
   // Subjects below only store the most recent value
   // so make sure most recent is marked as 'fromCache'
  .flatMap(v => Observable.from([
     {fromCache: false, value: v},
     {fromCache: true, value: v}
   ]))
   // Never complete subject
  .concat(Observable.never())
   // backup cache while new request is in progress
  .let(keepHot(new ReplaySubject(1)))
   // main cache with expiry time
  .let(keepHot(new ReplaySubject(1, this.RECACHE_INTERVAL)))
  .publish()
  .refCount()
  .let(takeWhileInclusive(v => v.fromCache));

  // Cache will be re-filled by request when there is another subscription after RECACHE_INTERVAL
  // Subscribers will get the most recent cached value first then an updated value

https://acutmore.jsbin.com/kekevib/8/edit?js,console

Original answer:

Instead of setting a window size on the replaySubject - you could change the source observable to repeat after a delay.

const observable = Observable.defer(
    () => actualFn().do(() => this.console.log('CACHE MISS', cacheKey))
  )
  .repeatWhen(_ => _.delay(this.RECACHE_INTERVAL))
  .publishReplay(1)
  .refCount()
  .take(1)
  .do(() => this.console.log('CACHE HIT', cacheKey));

The repeatWhen operator requires RxJs-beta12 or higher https://github.com/ReactiveX/rxjs/blob/master/CHANGELOG.md#500-beta12-2016-09-09

Answer 3

Almost any complicated logic quickly goes out of control if you use plain rxjs. I would rather implement custom cache operator from scratch, you can use this gist as an example.