扩展@marcg解决方案，您通常可以在Streams中抛出和捕获检查异常;也就是说，编译器会要求你捕获/重新抛出，就像你在流外一样!

@FunctionalInterface
public interface Predicate_WithExceptions<T, E extends Exception> {
    boolean test(T t) throws E;
}

/**
 * .filter(rethrowPredicate(t -> t.isActive()))
 */
public static <T, E extends Exception> Predicate<T> rethrowPredicate(Predicate_WithExceptions<T, E> predicate) throws E {
    return t -> {
        try {
            return predicate.test(t);
        } catch (Exception exception) {
            return throwActualException(exception);
        }
    };
}

@SuppressWarnings("unchecked")
private static <T, E extends Exception> T throwActualException(Exception exception) throws E {
    throw (E) exception;
}

然后，您的示例将如下所示(添加测试以更清楚地显示它):

@Test
public void testPredicate() throws MyTestException {
    List<String> nonEmptyStrings = Stream.of("ciao", "")
            .filter(rethrowPredicate(s -> notEmpty(s)))
            .collect(toList());
    assertEquals(1, nonEmptyStrings.size());
    assertEquals("ciao", nonEmptyStrings.get(0));
}

private class MyTestException extends Exception { }

private boolean notEmpty(String value) throws MyTestException {
    if(value==null) {
        throw new MyTestException();
    }
    return !value.isEmpty();
}

@Test
public void testPredicateRaisingException() throws MyTestException {
    try {
        Stream.of("ciao", null)
                .filter(rethrowPredicate(s -> notEmpty(s)))
                .collect(toList());
        fail();
    } catch (MyTestException e) {
        //OK
    }
}

如果您希望处理流中的异常并继续处理其他异常，那么Brian Vermeer在DZone中有一篇使用Either概念的优秀文章。这是一种处理这种情况的好方法。唯一缺少的是示例代码。这是我使用那篇文章中的概念进行探索的一个示例。

@Test
public void whenValuePrinted_thenPrintValue() {

    List<Integer> intStream = Arrays.asList(0, 1, 2, 3, 4, 5, 6);
    intStream.stream().map(Either.liftWithValue(item -> doSomething(item)))
             .map(item -> item.isLeft() ? item.getLeft() : item.getRight())
             .flatMap(o -> {
                 System.out.println(o);
                 return o.isPresent() ? Stream.of(o.get()) : Stream.empty();
             })
             .forEach(System.out::println);
}

private Object doSomething(Integer item) throws Exception {

    if (item == 0) {
        throw new Exception("Zero ain't a number!");
    } else if (item == 4) {
        return Optional.empty();
    }

    return item;
}

你可以通过包装你的lambda来抛出一个未检查的异常，然后在终端操作中解开这个未检查的异常，从而滚动你自己的Stream变体:

@FunctionalInterface
public interface ThrowingPredicate<T, X extends Throwable> {
    public boolean test(T t) throws X;
}

@FunctionalInterface
public interface ThrowingFunction<T, R, X extends Throwable> {
    public R apply(T t) throws X;
}

@FunctionalInterface
public interface ThrowingSupplier<R, X extends Throwable> {
    public R get() throws X;
}

public interface ThrowingStream<T, X extends Throwable> {
    public ThrowingStream<T, X> filter(
            ThrowingPredicate<? super T, ? extends X> predicate);

    public <R> ThrowingStream<T, R> map(
            ThrowingFunction<? super T, ? extends R, ? extends X> mapper);

    public <A, R> R collect(Collector<? super T, A, R> collector) throws X;

    // etc
}

class StreamAdapter<T, X extends Throwable> implements ThrowingStream<T, X> {
    private static class AdapterException extends RuntimeException {
        public AdapterException(Throwable cause) {
            super(cause);
        }
    }

    private final Stream<T> delegate;
    private final Class<X> x;

    StreamAdapter(Stream<T> delegate, Class<X> x) {
        this.delegate = delegate;
        this.x = x;
    }

    private <R> R maskException(ThrowingSupplier<R, X> method) {
        try {
            return method.get();
        } catch (Throwable t) {
            if (x.isInstance(t)) {
                throw new AdapterException(t);
            } else {
                throw t;
            }
        }
    }

    @Override
    public ThrowingStream<T, X> filter(ThrowingPredicate<T, X> predicate) {
        return new StreamAdapter<>(
                delegate.filter(t -> maskException(() -> predicate.test(t))), x);
    }

    @Override
    public <R> ThrowingStream<R, X> map(ThrowingFunction<T, R, X> mapper) {
        return new StreamAdapter<>(
                delegate.map(t -> maskException(() -> mapper.apply(t))), x);
    }

    private <R> R unmaskException(Supplier<R> method) throws X {
        try {
            return method.get();
        } catch (AdapterException e) {
            throw x.cast(e.getCause());
        }
    }

    @Override
    public <A, R> R collect(Collector<T, A, R> collector) throws X {
        return unmaskException(() -> delegate.collect(collector));
    }
}

然后你可以像使用流一样使用它:

Stream<Account> s = accounts.values().stream();
ThrowingStream<Account, IOException> ts = new StreamAdapter<>(s, IOException.class);
return ts.filter(Account::isActive).map(Account::getNumber).collect(toSet());

这个解决方案需要相当多的样板文件，所以我建议您看一看我已经创建的库，它完全符合我在这里为整个Stream类(以及更多!)所描述的内容。

扩展@marcg解决方案，您通常可以在Streams中抛出和捕获检查异常;也就是说，编译器会要求你捕获/重新抛出，就像你在流外一样!

@FunctionalInterface
public interface Predicate_WithExceptions<T, E extends Exception> {
    boolean test(T t) throws E;
}

/**
 * .filter(rethrowPredicate(t -> t.isActive()))
 */
public static <T, E extends Exception> Predicate<T> rethrowPredicate(Predicate_WithExceptions<T, E> predicate) throws E {
    return t -> {
        try {
            return predicate.test(t);
        } catch (Exception exception) {
            return throwActualException(exception);
        }
    };
}

@SuppressWarnings("unchecked")
private static <T, E extends Exception> T throwActualException(Exception exception) throws E {
    throw (E) exception;
}

然后，您的示例将如下所示(添加测试以更清楚地显示它):

@Test
public void testPredicate() throws MyTestException {
    List<String> nonEmptyStrings = Stream.of("ciao", "")
            .filter(rethrowPredicate(s -> notEmpty(s)))
            .collect(toList());
    assertEquals(1, nonEmptyStrings.size());
    assertEquals("ciao", nonEmptyStrings.get(0));
}

private class MyTestException extends Exception { }

private boolean notEmpty(String value) throws MyTestException {
    if(value==null) {
        throw new MyTestException();
    }
    return !value.isEmpty();
}

@Test
public void testPredicateRaisingException() throws MyTestException {
    try {
        Stream.of("ciao", null)
                .filter(rethrowPredicate(s -> notEmpty(s)))
                .collect(toList());
        fail();
    } catch (MyTestException e) {
        //OK
    }
}

Java中的功能接口不声明任何已检查或未检查的异常。 我们需要改变方法的签名:

boolean isActive() throws IOException; 
String getNumber() throwsIOException;

To:

boolean isActive();
String getNumber();

或者用try-catch block处理它:

public Set<String> getActiveAccountNumbers() {
  Stream<Account> s =  accounts.values().stream();
  s = s.filter(a -> 
    try{
      a.isActive();
    }catch(IOException e){
      throw new RuntimeException(e);
    }
  );
  Stream<String> ss = s.map(a -> 
    try{
      a.getNumber();
    }catch(IOException e){
      throw new RuntimeException(e);
    }
  );
  return ss.collect(Collectors.toSet());
}

另一种选择是编写自定义包装器或使用像ThrowingFunction这样的库。 使用库，我们只需要将依赖项添加到pom.xml:

<dependency>
    <groupId>pl.touk</groupId>
    <artifactId>throwing-function</artifactId>
    <version>1.3</version>
</dependency>

并使用特定的类，如ThrowingFunction, ThrowingConsumer, ThrowingPredicate, ThrowingRunnable, ThrowingSupplier。

代码的最后是这样的:

public Set<String> getActiveAccountNumbers() {
  return accounts.values().stream()
    .filter(ThrowingPredicate.unchecked(Account::isActive))
    .map(ThrowingFunction.unchecked(Account::getNumber))
    .collect(Collectors.toSet());
}

你也可以用lambdas传播你的静态疼痛，这样整个东西看起来可读:

s.filter(a -> propagate(a::isActive))

propagate在这里接收java.util.concurrent.Callable作为参数，并将调用期间捕获的任何异常转换为RuntimeException。在Guava中有一个类似的转换方法Throwables#propagate(Throwable)。

这个方法对于lambda方法链接来说是必不可少的，所以我希望有一天它会被添加到一个流行的库中，或者这种传播行为将是默认的。

public class PropagateExceptionsSample {
    // a simplified version of Throwables#propagate
    public static RuntimeException runtime(Throwable e) {
        if (e instanceof RuntimeException) {
            return (RuntimeException)e;
        }

        return new RuntimeException(e);
    }

    // this is a new one, n/a in public libs
    // Callable just suits as a functional interface in JDK throwing Exception 
    public static <V> V propagate(Callable<V> callable){
        try {
            return callable.call();
        } catch (Exception e) {
            throw runtime(e);
        }
    }

    public static void main(String[] args) {
        class Account{
            String name;    
            Account(String name) { this.name = name;}

            public boolean isActive() throws IOException {
                return name.startsWith("a");
            }
        }


        List<Account> accounts = new ArrayList<>(Arrays.asList(new Account("andrey"), new Account("angela"), new Account("pamela")));

        Stream<Account> s = accounts.stream();

        s
          .filter(a -> propagate(a::isActive))
          .map(a -> a.name)
          .forEach(System.out::println);
    }
}