我所做的是允许用户在异常情况下给出他实际想要的值。 我有一个像这样的东西

public static <T, R> Function<? super T, ? extends R> defaultIfThrows(FunctionThatThrows<? super T, ? extends R> delegate, R defaultValue) {
    return x -> {
        try {
            return delegate.apply(x);
        } catch (Throwable throwable) {
            return defaultValue;
        }
    };
}

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

这个可以被称为:

defaultIfThrows(child -> child.getID(), null)

public void frankTest() {
    int pageId= -1;

    List<Book> users= null;
    try {
        //Does Not Compile:  Object page=DatabaseConnection.getSpringConnection().queryForObject("SELECT * FROM bookmark_page", (rw, n) -> new Portal(rw.getInt("id"), "", users.parallelStream().filter(uu -> uu.getVbid() == rw.getString("user_id")).findFirst().get(), rw.getString("name")));

        //Compiles:
        Object page= DatabaseConnection.getSpringConnection().queryForObject("SELECT * FROM bookmark_page", (rw, n) -> { 
            try {
                final Book bk= users.stream().filter(bp -> { 
                    String name= null;
                    try {
                        name = rw.getString("name");
                    } catch (Exception e) {
                        // TODO Auto-generated catch block
                        e.printStackTrace();
                    }
                    return bp.getTitle().equals(name); 
                }).limit(1).collect(Collectors.toList()).get(0);
            } catch (Exception e) {
                // TODO Auto-generated catch block
                e.printStackTrace();
            }
            return new Portal(rw.getInt("id"), "", users.get(0), rw.getString("name")); 
        } );
    } catch (Exception e) {
        // TODO Auto-generated catch block
        e.printStackTrace();
    }
}

实际上，您可以使用一个处理异常的新接口来扩展Consumer(和Function等)——使用Java 8的默认方法!

考虑这个接口(扩展Consumer):

@FunctionalInterface
public interface ThrowingConsumer<T> extends Consumer<T> {

    @Override
    default void accept(final T elem) {
        try {
            acceptThrows(elem);
        } catch (final Exception e) {
            // Implement your own exception handling logic here..
            // For example:
            System.out.println("handling an exception...");
            // Or ...
            throw new RuntimeException(e);
        }
    }

    void acceptThrows(T elem) throws Exception;

}

然后，例如，如果你有一个列表:

final List<String> list = Arrays.asList("A", "B", "C");

如果你想消费它(例如。使用forEach)和一些抛出异常的代码，你通常会设置一个try/catch块:

final Consumer<String> consumer = aps -> {
    try {
        // maybe some other code here...
        throw new Exception("asdas");
    } catch (final Exception ex) {
        System.out.println("handling an exception...");
    }
};
list.forEach(consumer);

但是有了这个新接口，你可以用lambda表达式实例化它，编译器不会报错:

final ThrowingConsumer<String> throwingConsumer = aps -> {
    // maybe some other code here...
    throw new Exception("asdas");
};
list.forEach(throwingConsumer);

或者甚至只是转换它更简洁!：

list.forEach((ThrowingConsumer<String>) aps -> {
    // maybe some other code here...
    throw new Exception("asda");
});

更新

看起来榴莲有一个非常好的实用程序库，叫做Errors，可以用来解决这个问题，具有更大的灵活性。例如，在上面的实现中，我显式地定义了错误处理策略(System.out…或者抛出RuntimeException)，而Durian的Errors允许您通过一套大型实用程序方法动态应用策略。感谢分享，@NedTwigg!

示例用法:

list.forEach(Errors.rethrow().wrap(c -> somethingThatThrows(c)));

这里已经贴出了很多很棒的回复。只是试图用不同的角度来解决问题。这只是我的两毛钱，如果我哪里说错了，请指正。

在FunctionalInterface中抛出子句不是一个好主意

我认为强制抛出IOException可能不是一个好主意，原因如下

This looks to me like an anti-pattern to Stream/Lambda. The whole idea is that the caller will decide what code to provide and how to handle the exception. In many scenarios, the IOException might not be applicable for the client. For example, if the client is getting value from cache/memory instead of performing actual I/O. Also, the exceptions handling in streams becomes really hideous. For example, here is my code will look like if I use your API acceptMyMethod(s -> { try { Integer i = doSomeOperation(s); return i; } catch (IOException e) { // try catch block because of throws clause // in functional method, even though doSomeOperation // might not be throwing any exception at all. e.printStackTrace(); } return null; }); Ugly isn't it? Moreover, as I mentioned in my first point, that the doSomeOperation method may or may not be throwing IOException (depending on the implementation of the client/caller), but because of the throws clause in your FunctionalInterface method, I always have to write the try-catch.

如果我知道这个API抛出IOException怎么办

Then probably we are confusing FunctionalInterface with typical Interfaces. If you know this API will throw IOException, then most probably you also know some default/abstract behavior as well. I think you should define an interface and deploy your library (with default/abstract implementation) as follows public interface MyAmazingAPI { Integer myMethod(String s) throws IOException; } But, the try-catch problem still exists for the client. If I use your API in stream, I still need to handle IOException in hideous try-catch block. Provide a default stream-friendly API as follows public interface MyAmazingAPI { Integer myMethod(String s) throws IOException; default Optional<Integer> myMethod(String s, Consumer<? super Exception> exceptionConsumer) { try { return Optional.ofNullable(this.myMethod(s)); } catch (Exception e) { if (exceptionConsumer != null) { exceptionConsumer.accept(e); } else { e.printStackTrace(); } } return Optional.empty(); } } The default method takes the consumer object as argument, which will be responsible to handle the exception. Now, from client's point of view, the code will look like this strStream.map(str -> amazingAPIs.myMethod(str, Exception::printStackTrace)) .filter(Optional::isPresent) .map(Optional::get).collect(toList()); Nice right? Of course, logger or other handling logic could be used instead of Exception::printStackTrace. You can also expose a method similar to https://docs.oracle.com/javase/8/docs/api/java/util/concurrent/CompletableFuture.html#exceptionally-java.util.function.Function- . Meaning that you can expose another method, which will contain the exception from previous method call. The disadvantage is that you are now making your APIs stateful, which means that you need to handle thread-safety and which will be eventually become a performance hit. Just an option to consider though.

如果你有lombok，你可以用@SneakyThrows注释你的方法

SneakyThrow不会静默地吞咽、包装到RuntimeException中，或以其他方式修改所列出的检查异常类型的任何异常。JVM不检查被检查异常系统的一致性;Javac可以，而且这个注释允许您选择不使用它的机制。

https://projectlombok.org/features/SneakyThrows

使用Jool库或JOOQ中的jOOλ库。它不仅提供了未经检查的异常处理接口，还为Seq类提供了许多有用的方法。

此外，它包含多达16个参数的功能接口。此外，它还提供了用于不同场景的Tuple类。

乔尔去链接

特别是在org.jooq.lambda.fi.util.function包的库查找中。它包含Java-8中所有带有前置Checked的接口。参考如下:-