How do I handle exceptions in map() in an Observable in RxJava - java

I want to do this:
Observable.just(bitmap)
.map(new Func1<Bitmap, File>() {
#Override
public File call(Bitmap photoBitmap) {
//File creation throws IOException,
//I just want it to hit the onError() inside subscribe()
File photoFile = new File(App.getAppContext().getCacheDir(), "userprofilepic_temp.jpg");
if(photoFile.isFile()) {//delete the file first if it exists otherwise the new file won't be created
photoFile.delete();
}
photoFile.createNewFile(); //saves the file in the cache dir
FileOutputStream fos = new FileOutputStream(photoFile);
photoBitmap.compress(Bitmap.CompressFormat.JPEG, 90, fos);//jpeg format
fos.close();
return photoFile;
}
})
.subscribe(//continue implementation...);
Basically in the call() method, it can throw exceptions. How can I make the Observer handle it in onError(). Or is this not the right way to think about this?

rx will always catch error, even if this is RuntimeException.
So you can throw Some kind of Runtime exception in catch block. This is how actually it should work.
Observable.just(bitmap)
.map(b -> {
try {
// do some work which throws IOException
throw new IOException("something went wrong");
} catch (IOException e) {
throw new RXIOException(e);
// Or you can use
throw Exceptions.propagate(e);
// This helper method will wrap your exception with runtime one
}
}).subscribe(o -> {
// do something here
}, exception -> exception.printStackTrace());
public static class RXIOException extends RuntimeException {
public RXIOException(IOException throwable) {
super(throwable);
}
}

With 1.0.15, there is the fromCallable factory method which let's you run a Callable instance for each subscriber where you can throw checked exceptions as well:
Observable.fromCallable(() -> {
File photoFile = new File(App.getAppContext().getCacheDir(),
"userprofilepic_temp.jpg");
if (photoFile.isFile()) {
//delete the file if it exists otherwise the new file won't be created
photoFile.delete();
}
photoFile.createNewFile(); //saves the file in the cache dir
FileOutputStream fos = new FileOutputStream(photoFile);
photoBitmap.compress(Bitmap.CompressFormat.JPEG, 90, fos);//jpeg format
fos.close();
return photoFile;
})
.subscribe(...)
Edit:
source.flatMap(v -> {
try {
//...
return Observable.just(result);
} catch (Exception e) {
return Observable.error(e);
}
})
.subscribe(...);

Just created helper class to extract this boilerplate to another place:
public class RxRethrow {
public static <T, R> Func1<T, R> rethrow(Func1R<T, R> catchedFunc) {
return t -> {
try {
return catchedFunc.call(t);
} catch (Exception e) {
throw Exceptions.propagate(e);
}
};
}
public interface Func1R<T, R> extends Function {
R call(T t) throws Exception;
}
}
You can call it like this:
.map(RxRethrow.rethrow(products -> mapper.writer(schema).writeValueAsString(products)))

I don't know how the situation was when this question was first asked and answered, but RxJava currently contains a helper-method for this exact purpose:
Exceptions.propagate(Throwable t)
RxJava Javadoc
Convenience method to throw a RuntimeException and Error directly or wrap any other exception type into a RuntimeException.

Related

java8 how to convert Future<T> to CompleteableFuture<T> [duplicate]

Java 8 introduces CompletableFuture, a new implementation of Future that is composable (includes a bunch of thenXxx methods). I'd like to use this exclusively, but many of the libraries I want to use return only non-composable Future instances.
Is there a way to wrap up a returned Future instances inside of a CompleteableFuture so that I can compose it?
If the library you want to use also offers a callback style method in addition to the Future style, you can provide it a handler that completes the CompletableFuture without any extra thread blocking. Like so:
AsynchronousFileChannel open = AsynchronousFileChannel.open(Paths.get("/some/file"));
// ...
CompletableFuture<ByteBuffer> completableFuture = new CompletableFuture<ByteBuffer>();
open.read(buffer, position, null, new CompletionHandler<Integer, Void>() {
#Override
public void completed(Integer result, Void attachment) {
completableFuture.complete(buffer);
}
#Override
public void failed(Throwable exc, Void attachment) {
completableFuture.completeExceptionally(exc);
}
});
completableFuture.thenApply(...)
Without the callback the only other way I see solving this is to use a polling loop that puts all your Future.isDone() checks on a single thread and then invoking complete whenever a Future is gettable.
There is a way, but you won't like it. The following method transforms a Future<T> into a CompletableFuture<T>:
public static <T> CompletableFuture<T> makeCompletableFuture(Future<T> future) {
if (future.isDone())
return transformDoneFuture(future);
return CompletableFuture.supplyAsync(() -> {
try {
if (!future.isDone())
awaitFutureIsDoneInForkJoinPool(future);
return future.get();
} catch (ExecutionException e) {
throw new RuntimeException(e);
} catch (InterruptedException e) {
// Normally, this should never happen inside ForkJoinPool
Thread.currentThread().interrupt();
// Add the following statement if the future doesn't have side effects
// future.cancel(true);
throw new RuntimeException(e);
}
});
}
private static <T> CompletableFuture<T> transformDoneFuture(Future<T> future) {
CompletableFuture<T> cf = new CompletableFuture<>();
T result;
try {
result = future.get();
} catch (Throwable ex) {
cf.completeExceptionally(ex);
return cf;
}
cf.complete(result);
return cf;
}
private static void awaitFutureIsDoneInForkJoinPool(Future<?> future)
throws InterruptedException {
ForkJoinPool.managedBlock(new ForkJoinPool.ManagedBlocker() {
#Override public boolean block() throws InterruptedException {
try {
future.get();
} catch (ExecutionException e) {
throw new RuntimeException(e);
}
return true;
}
#Override public boolean isReleasable() {
return future.isDone();
}
});
}
Obviously, the problem with this approach is, that for each Future, a thread will be blocked to wait for the result of the Future--contradicting the idea of futures. In some cases, it might be possible to do better. However, in general, there is no solution without actively wait for the result of the Future.
If your Future is the result of a call to an ExecutorService method (e.g. submit()), the easiest would be to use the CompletableFuture.runAsync(Runnable, Executor) method instead.
From
Runnbale myTask = ... ;
Future<?> future = myExecutor.submit(myTask);
to
Runnbale myTask = ... ;
CompletableFuture<?> future = CompletableFuture.runAsync(myTask, myExecutor);
The CompletableFuture is then created "natively".
EDIT: Pursuing comments by #SamMefford corrected by #MartinAndersson, if you want to pass a Callable, you need to call supplyAsync(), converting the Callable<T> into a Supplier<T>, e.g. with:
CompletableFuture.supplyAsync(() -> {
try { return myCallable.call(); }
catch (Exception ex) { throw new CompletionException(ex); } // Or return default value
}, myExecutor);
Because T Callable.call() throws Exception; throws an exception and T Supplier.get(); doesn't, you have to catch the exception so prototypes are compatible.
A note on exception handling
The get() method doesn't specify a throws, which means it should not throw a checked exception. However, unchecked exception can be used. The code in CompletableFuture shows that CompletionException is used and is unchecked (i.e. is a RuntimeException), hence the catch/throw wrapping any exception into a CompletionException.
Also, as #WeGa indicated, you can use the handle() method to deal with exceptions potentially being thrown by the result:
CompletableFuture<T> future = CompletableFuture.supplyAsync(...);
future.handle((ex,res) -> {
if (ex != null) {
// An exception occurred ...
} else {
// No exception was thrown, 'res' is valid and can be handled here
}
});
I published a little futurity project that tries to do better than the straightforward way in the answer.
The main idea is to use only one thread (and of course with not just a spin loop) to check all Futures states inside, which helps to avoid blocking a thread from a pool for each Future -> CompletableFuture transformation.
Usage example:
Future oldFuture = ...;
CompletableFuture profit = Futurity.shift(oldFuture);
Suggestion:
http://www.thedevpiece.com/converting-old-java-future-to-completablefuture/
But, basically:
public class CompletablePromiseContext {
private static final ScheduledExecutorService SERVICE = Executors.newSingleThreadScheduledExecutor();
public static void schedule(Runnable r) {
SERVICE.schedule(r, 1, TimeUnit.MILLISECONDS);
}
}
And, the CompletablePromise:
public class CompletablePromise<V> extends CompletableFuture<V> {
private Future<V> future;
public CompletablePromise(Future<V> future) {
this.future = future;
CompletablePromiseContext.schedule(this::tryToComplete);
}
private void tryToComplete() {
if (future.isDone()) {
try {
complete(future.get());
} catch (InterruptedException e) {
completeExceptionally(e);
} catch (ExecutionException e) {
completeExceptionally(e.getCause());
}
return;
}
if (future.isCancelled()) {
cancel(true);
return;
}
CompletablePromiseContext.schedule(this::tryToComplete);
}
}
Example:
public class Main {
public static void main(String[] args) {
final ExecutorService service = Executors.newSingleThreadExecutor();
final Future<String> stringFuture = service.submit(() -> "success");
final CompletableFuture<String> completableFuture = new CompletablePromise<>(stringFuture);
completableFuture.whenComplete((result, failure) -> {
System.out.println(result);
});
}
}
Let me suggest another (hopefully, better) option:
https://github.com/vsilaev/java-async-await/tree/master/com.farata.lang.async.examples/src/main/java/com/farata/concurrent
Briefly, the idea is the following:
Introduce CompletableTask<V> interface -- the union of the
CompletionStage<V> + RunnableFuture<V>
Warp ExecutorService to return CompletableTask from submit(...) methods (instead of Future<V>)
Done, we have runnable AND composable Futures.
Implementation uses an alternative CompletionStage implementation (pay attention, CompletionStage rather than CompletableFuture):
Usage:
J8ExecutorService exec = J8Executors.newCachedThreadPool();
CompletionStage<String> = exec
.submit( someCallableA )
.thenCombineAsync( exec.submit(someCallableB), (a, b) -> a + " " + b)
.thenCombine( exec.submit(someCallableC), (ab, b) -> ab + " " + c);
public static <T> CompletableFuture<T> fromFuture(Future<T> f) {
return CompletableFuture.completedFuture(null).thenCompose(avoid -> {
try {
return CompletableFuture.completedFuture(f.get());
} catch (InterruptedException e) {
return CompletableFuture.failedFuture(e);
} catch (ExecutionException e) {
return CompletableFuture.failedFuture(e.getCause());
}
});
}
The main idea goes like this:
Future<?> future = null;
return CompletableFuture.supplyAsync(future::get);
However, you will receive some warnings from your compiler.
So, here is the first option.
Future<?> future = null;
return CompletableFuture.supplyAsync(
()->{
try {
return future.get();
} catch (Exception e) {
throw new RuntimeException(e);
}
});
Second Option, hide the try...catch via casting the functional interface.
#FunctionalInterface
public interface MySupplier<T> extends Supplier<T> {
#Override
default T get() {
try {
return getInternal();
} catch (Exception e) {
throw new RuntimeException(e);
}
}
T getInternal() throws Exception;
}
public static void main(String[] args) {
Future<?> future = null;
return CompletableFuture.supplyAsync((MySupplier<?>) future::get);
}
Third Option, find out some 3rd party lib which has provided such a functional interface.
See Also: Java 8 Lambda function that throws exception?

How to handle exceptions you want propagated up to the caller?

I'm a Pythonista moving into Java/Scala, and I am wondering how to handle the case where you want an exception to be thrown if it occurs. Take the following toy example:
public class PersonSaver {
private final File file;
public PersonSaver(File file) {
this.file = file;
}
public void save(List<Person> people) {
try (ObjectOutputStream output = new ObjectOutputStream(new FileOutputStream(file))) {
output.writeObject(people);
} catch (FileNotFoundException e) {
e.printStackTrace();
} catch (IOException e) {
e.printStackTrace();
}
}
}
In Python I would want this to throw an error if the file isn't found, and let the calling code handle the exception. Is it convention just to re-throw the same exception?
You can make your method throw those exceptions :
public class PersonSaver {
private final File file;
public PersonSaver(File file) {
this.file = file;
}
public void save(List<Person> people) throws FileNotFoundException {
try (ObjectOutputStream output = new ObjectOutputStream(new FileOutputStream(file))) {
output.writeObject(people);
} catch (IOException e) {
//handle the exception you want to handle
e.printStackTrace();
}
}
}
Just make sure you declare your method with the throws statement, or your compiler might not like it ;)
You can also go this way (let's call this a semi-exception-handling) :
public class PersonSaver {
private final File file;
public PersonSaver(File file) {
this.file = file;
}
public void save(List<Person> people) throws FileNotFoundException, IOException {
try (ObjectOutputStream output = new ObjectOutputStream(new FileOutputStream(file))) {
output.writeObject(people);
} catch (IOException e) {
/*Some code to clear some data or to handle the
exception but still throw an exception higher*/
throw e;
}
}
}
You can just do the following...
public class PersonSaver {
private final File file;
public PersonSaver(File file) {
this.file = file;
}
public void save(List<Person> people) throws FileNotFoundException {
try (ObjectOutputStream output = new ObjectOutputStream(new FileOutputStream(file))) {
output.writeObject(people);
} catch (IOException e) {
e.printStackTrace();
}
}
}
In any part of your code you can throw a throwable object, such as an Exception.
You should also state it in the method signature, letting the JVM know you'll handle that Exception in a caller's block.
Example:
public void save(List<Person> people) throws FileNotFoundException{
try (ObjectOutputStream output = new ObjectOutputStream(new FileOutputStream(file))) {
output.writeObject(people);
} catch (IOException e) {
e.printStackTrace();
}
}
You need to consider if the calling code actually knows what to do with the specific exception. You have defined an API about saving a collection of Person. The calling code knows only about a Person and has no idea ideally where the save is done.
If you throw a lower level exception about the file not found you are leaking the abstraction and you won't be able to change the implementation easily if the calling code is starting to be aware of where things are saved.
The proper approach would be to throw an "business" exception like PersonNotPersisted or PersonNotSaved since this is something the calling code would understand and avoid the low level IO exceptions to the higher layer
If you declare a method to throws an checkedexception you dont need to catch it or any of it subtypes:
public void save(List<Person> people) throws IOExcetion {
try (ObjectOutputStream output = new ObjectOutputStream(new FileOutputStream(file))) {
output.writeObject(people);
}
}
If you want to handle the exception before you can also do like:
public void save(List<Person> people) throws IOException {
try (ObjectOutputStream output = new ObjectOutputStream(new FileOutputStream(file))) {
output.writeObject(people);
} catch (IOException e) {
e.printStackTrace();
throw e;
}
}
The keyword 'throw' fires the exception to the caller.

Handle Exception after all lines have been finished execution without finally

I need methodA2 also gets executed even though there is an exception by methodA1(). Here I have added only two methods as methodA1() and methodA2(). Let's say there are many methods. In that case also, the solution should be able to applicable.
class A {
String methodA1() throws ExceptionE {
// do something
}
String methodA2() throws ExceptionE {
// do something
}
}
class C extends A {
String methodC() throws ExceptionE2 {
try {
methodA1();
methodA2();
} catch (ExceptionE e) {
throw new ExceptionE2();
}
}
}
Please note that there can be many methods invoked with methodA1, methodA2. In that case having multiple try, catch, finally will look ugly.. So are there any other methods to do that?
I need to store error information in a log file. In methodA1(), methodA2() ... information in each tag is get validated. what I want is having all the error information in log file. Once exception throws it will generate log file. So I will miss validation information from other tags. So we can't go for finally approach.
You can use a loop with Java 8 lambdas:
interface RunnableE {
void run() throws Exception;
}
class Example {
public static void main(String[] args) {
List<RunnableE> methods = Arrays.asList(
() -> methodA1(),
() -> methodA2(),
() -> methodA3()
);
for (RunnableE method : methods) {
try {
method.run();
} catch (Exception e) {
// log the exception
}
}
}
private static void methodA1() throws Exception {
System.out.println("A1");
}
private static void methodA2() throws Exception {
System.out.println("A2");
}
private static void methodA3() throws Exception {
System.out.println("A3");
}
}
Please note that the interface is needed only when methods throw checked exception. If they were throwing only runtime exceptions, you could use java.lang.Runnable instead.
No other way. If each method can throw exception, but you want to continue execution of remaining methods anyway, then each method call must be in its own try-catch block.
Example:
List<Exception> exceptions = new ArrayList<>();
try {
methodA1();
} catch (Exception e) {
exceptions.add(e);
}
try {
methodA2();
} catch (Exception e) {
exceptions.add(e);
}
try {
methodA3();
} catch (Exception e) {
exceptions.add(e);
}
if (! exceptions.isEmpty()) {
if (exceptions.size() == 1)
throw exceptions.get(0);
throw new CompoundException(exceptions);
}
You will of course have to implement the CompoundException yourself.

How do I write lambda expression which rethrows checked exception without using try {} catch {} block?

I have a lambda expression, which can throw a IOException:
Function<String, List<String>> readFile = path-> {
try {
return Files.readAllLines(
Paths.get((String) path), Charset.forName("UTF-8"));
} catch (IOException e) {
return null;
}
};
I would like to write the same lambda expression without using the try {} catch {} block, so that the exception would be rethrown to the enclosing function:
public static void main(String[] args) throws IOException {
Function<String, List<String>> readFile = path-> {
try {
return Files.readAllLines(
Paths.get((String) path), Charset.forName("UTF-8"));
} catch (IOException e) {
return null;
}
};
}
The only problem is that I cannot define my own interfaces/classes and I can only use interfaces provided by Java APIs.
Would that be possible?
If you want to rethrow the excepion, you can use RuntimeException.
Add this to your catch body.
throw new RuntimeException(e);
Since Function.apply does not throw checked exceptions, you cannot do it ...
... in a legal way. However, you can consider "sneaky throw" if you can take the risk
interface FunctionX<T,R, X extends Exception> extends Function<T,R>
{
R applyX(T t) throws X;
#Override
default R apply(T t)
{
try
{
return applyX(t);
}
catch (Exception x)
{
throw Util.sneakyThrow(x);
}
}
public static <T,R,X extends Exception>
FunctionX<T,R,X> of(FunctionX<T,R,X> f){ return f; }
}
// Util.java
public static RuntimeException sneakyThrow(Throwable t)
{
throw Util.<RuntimeException>sneakyThrow0(t);
}
#SuppressWarnings("unchecked")
private static <T extends Throwable> T sneakyThrow0(Throwable t) throws T
{
throw (T)t;
}
Usage example
Function<String, List<String>> readFile = FunctionX.of( path-> {
return Files.readAllLines(
Paths.get(path), Charset.forName("UTF-8"));
} );
readFile.apply("/no-file");

Using exceptions with Google Guava

What is the best pattern for using Google Guava with methods that should throw exceptions?
Let's say I have:
public Sting someMethod(Integer i) throws SomeException;
And I want to do:
List<String> s=Lists.transform(is,new Function<String, Integer>() {
public String apply(Integer i) {
return someMethod(i);
}
});
I couldn't do the above because of the exception. Is there any nice pattern for handling it?
Propagate the checked exception as a RuntimeException:
try {
return someMethod(i);
} catch (SomeException e) {
throw new RuntimeException(e);
}
EDIT: Since the transformed list is lazily evaluated, the exception won't be thrown until you access the list elements. You can force the evaluation by copying the transformed list into a new list, like:
s = new ArrayList<>(s);
You could wrap that in a try-catch block that catches RuntimeException and handles it however you want; your original SomeException instance can be obtained by calling getCause() on the RuntimeException. Or you could just let the RuntimeException bubble up.
You can use
public interface FunctionWithException<T, R, E extends Exception> {
public R apply(T t) throws E;
}
It depends on how you want to handle the exception.
Stop the list transformation when an exception occurs: See #dnault's answer.
Continue the list transformation and remove the element which caused exception (and log some error message).
In this case, we will return null when an exception occurs, this null value will be removed from final list:
List<String> s = Lists.newArrayList(
Iterables.filter(
Iterables.transform(l, new Function<Integer, String>() {
#Override
public String apply(Integer i) {
try {
return someMethod(i);
} catch (SomeException e) {
e.printStackTrace();
return null;
}
}
}), Predicates.notNull()))`
EDIT
If someMethod can return null value then you should a wrapper like this one:
class Wrapper {
public Exception exception = null;
public String result = null;
}
The list transformation will then be:
List<Wrapper> wrappers = Lists.newArrayList(
Iterables.filter(
Iterables.transform(l, new Function<Integer, Wrapper>() {
#Override
public Wrapper apply(Integer i) {
Wrapper wrapper = new Wrapper();
try {
wrapper.result = someMethod(i);
} catch (SomeException e) {
wrapper.exception = e;
}
return wrapper;
}
}), new Predicate<Wrapper>() {
#Override
public boolean apply(Wrapper wrapper) {
return wrapper.exception == null;
}
}));

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