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

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);
    }
}

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));
}

它可以通过以下简单的代码在abacus-common中使用Stream和Try来解决:

Stream.of(accounts)
      .filter(a -> Try.call(a::isActive))
      .map(a -> Try.call(a::getNumber))
      .toSet();

Or:

Stream.of(accounts)
      .filterE(Account::isActive)
      .mapE(Account::getNumber)
      .toSet();

披露:我是abacus-common的开发者。

如果你不介意使用第三方库，AOL的cyclops-react库，disclosure::我是一个贡献者，有一个ExceptionSoftener类可以在这里提供帮助。

 s.filter(softenPredicate(a->a.isActive()));