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QUESTION
I am trying to implement the Redux pattern to manage state following the presentation by Jake Wharton: http://jakewharton.com/the-state-of-managing-state-with-rxjava/ I want everything in the stream to run on a background thread and receive the output on the AndroidMainThread. But with this current set up, my Subscriber throws an exception that i am manipulating the UI on another thread other than the AndroidMainThread. Thanks in advance.
...ANSWER
Answered 2017-Apr-26 at 05:15I want everything in the stream to run on a background thread and receive the output on the AndroidMainThread
You can't have everything in the stream at background thread, because your'e source of events are UI events that must be registered at main thread.
You're applying IO Scheduler at mergeEvents
transformer, that'e means that all of your UI events will be subscribed at IO thread.
You can see the source at the log:
QUESTION
I am trying to merge all UI events in one Observable, so i can react to all events, such as: onCreate life cycle, scroll Events from my RecyclerView, searchEvents from search view and deleteEvents from Action mode activation. I am using Rxbinding to achieve this. I am trying to implement Redux pattern from Jake Wharton's presentation: http://jakewharton.com/the-state-of-managing-state-with-rxjava/
Actual Result: only the GetUsersEvent gets fired, while other events do not.
Expected Result: All events get fired when appropriate.
Thanks in advance. My Code:
...ANSWER
Answered 2017-Apr-21 at 21:13Well, you have a ton of events.mergeWith(...)
, but what are you doing with the results? That operation gives you a new observable.
You could do events = events.mergeWith(...)
.
QUESTION
I just watched the conference by Jake Wharton The State of Managing State with RxJava.
He proposes to transform the events from view to action in this way:
...ANSWER
Answered 2017-Apr-15 at 13:27There is a good explanation, from Daniel Lew, about the differences. In short:
The difference is that compose() is a higher level abstraction: it operates on the entire stream, not individually emitted items.
For more details look at the complete explanation in this article (in the section named What About flatMap()?)
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