Implementing RxJava in Android requires following best practices to ensure efficient, readable, and maintainable code. Here are some essential tips:
Schedulers.io()
for I/O-bound operations and AndroidSchedulers.mainThread()
for UI updates.CompositeDisposable
to manage multiple disposables effectively.map()
, flatMap()
, and filter()
to manipulate the data stream efficiently.onErrorReturn()
or onErrorResumeNext()
to handle exceptions gracefully.Here’s a simple RxJava example demonstrating basic usage in an Android activity:
public class MainActivity extends AppCompatActivity {
override protected void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
setContentView(R.layout.activity_main);
Observable<String> observable = Observable.just("Hello, RxJava!");
Disposable disposable = observable
.subscribeOn(Schedulers.io())
.observeOn(AndroidSchedulers.mainThread())
.subscribe(this::onNext, this::onError);
}
private void onNext(String message) {
Log.d("RxJava", message);
}
private void onError(Throwable e) {
Log.e("RxJava", e.getMessage());
}
override void onDestroy() {
super.onDestroy();
// Dispose the observable to avoid memory leaks
}
}
How do I avoid rehashing overhead with std::set in multithreaded code?
How do I find elements with custom comparators with std::set for embedded targets?
How do I erase elements while iterating with std::set for embedded targets?
How do I provide stable iteration order with std::unordered_map for large datasets?
How do I reserve capacity ahead of time with std::unordered_map for large datasets?
How do I erase elements while iterating with std::unordered_map in multithreaded code?
How do I provide stable iteration order with std::map for embedded targets?
How do I provide stable iteration order with std::map in multithreaded code?
How do I avoid rehashing overhead with std::map in performance-sensitive code?
How do I merge two containers efficiently with std::map for embedded targets?