last() method will not be of any help here as it waits for the Observable to terminate to give you the last item emitted. Assuming that you do not have the control over the emitting observable you could simply create a BehaviorSubject and subscribe it to the observable that emits the data that you want … Read more
Merging observables means that items emitted by both observable will be emitted successively and separately by the new merged observable, cf this page. If your observables emit just one item each and you want the merge the items by concatenating the arrays, you could use the zip operator as follows: zip(observable, this.observable) .pipe(map(x => x[0].concat(x[1]))) … Read more
It took me sometime to understand it, maybe because publishOn is usually explained before subscribeOn, here’s a hopefully more simple layman explanation. subscribeOn means running the initial source emission e.g subscribe(), onSubscribe() and request() on a specified scheduler worker (other thread), and also the same for any subsequent operations like for example onNext/onError/onComplete, map etc … Read more
You need flatMap instead which let’s you return an empty sequence if the processing failed: myflux.flatMap(v -> { try { return Flux.just(converter.convertHistoricalCSVToStockQuotation(stock)); } catch (IllegalArgumentException ex) { return Flux.empty(); } });
You have probably not added the necessary assembly references for Rx to your project. (Referencing an assembly is not the same thing as importing a namespace! You already know what a namespace is; an assembly is something similar to a JAR; the smallest unit of code deployment/distribution. Your project must reference it before the namespaces … Read more
Please in a normal and human way explain to me the difference OK, let’s make some toast. That’s the most normal human thing I do. Pull based: // I want some toast. I will pull it out of the toaster when it is done. // I will do nothing until the toast is available. Toast … Read more
The fluent way is to use Observable.ignoreElements(). Observable.just(1, 2, 3) .ignoreElements() Convert it back via toObservable if needed.
Android Room Exceptions
Citing Li Haoyi, who has used Scala.React, his observations are: “it is extremely difficult to set up and get started.” “It requires a fair amount of global configuration” “It took several days to get a basic dataflow graph (..,) working.” He had a lot of questions but did not manage to contact the author of … Read more