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());
}

使用#propagate()方法。来自Sam Beran的Java 8 Blog的非guava实现示例:

public class Throwables {
    public interface ExceptionWrapper<E> {
        E wrap(Exception e);
    }

    public static <T> T propagate(Callable<T> callable) throws RuntimeException {
        return propagate(callable, RuntimeException::new);
    }

    public static <T, E extends Throwable> T propagate(Callable<T> callable, ExceptionWrapper<E> wrapper) throws E {
        try {
            return callable.call();
        } catch (RuntimeException e) {
            throw e;
        } catch (Exception e) {
            throw wrapper.wrap(e);
        }
    }
}

也可以使用一些外部(流)错误指示器在更高级别抛出异常:

List<String> errorMessages = new ArrayList<>(); // error indicator
//..
errorMessages.clear();

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

names.stream()
.map(name -> {
    if (name != "pamela") {
      errorMessages.add(name + " is wrong here!"); 
      return null; // triggering the indicator
    }
    return name;
} )
.filter(elem -> (elem != null)) // bypassing propagation of only current unwanted data
//.filter(elem -> (errorMessages.size() == 0)) // or blocking any propagation once unwanted data detected
.forEach(System.out::println);

if (errorMessages.size() > 0) { // handling the indicator
  throw  new RuntimeException(String,join(", ", errorMessages));
}

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;
}

考虑到这个问题，我开发了一个小型库来处理受控异常和lambdas。自定义适配器允许您与现有的函数类型集成:

stream().map(unchecked(URI::new)) //with a static import

https://github.com/TouK/ThrowingFunction/

你的例子可以写成:

import utils.stream.Unthrow;

class Bank{
   ....
   public Set<String> getActiveAccountNumbers() {
       return accounts.values().stream()
           .filter(a -> Unthrow.wrap(() -> a.isActive()))
           .map(a -> Unthrow.wrap(() -> a.getNumber()))
           .collect(Collectors.toSet());
   }
   ....
}

Unthrow类可以在这里https://github.com/SeregaLBN/StreamUnthrower