多年来,我一直无法得到以下问题的一个像样的答案:为什么一些开发人员如此反对受控异常?我有过无数次的对话,在博客上读过一些东西,读过Bruce Eckel说的话(我看到的第一个站出来反对他们的人)。

我目前正在编写一些新代码,并非常注意如何处理异常。我试图了解那些“我们不喜欢受控异常”的人的观点,但我仍然看不出来。

我的每一次谈话都以同样的问题结束。让我把它建立起来:

一般来说(从Java的设计方式来看),

Error is for things that should never be caught (VM has a peanut allergy and someone dropped a jar of peanuts on it) RuntimeException is for things that the programmer did wrong (programmer walked off the end of an array) Exception (except RuntimeException) is for things that are out of the programmer's control (disk fills up while writing to the file system, file handle limit for the process has been reached and you cannot open any more files) Throwable is simply the parent of all of the exception types.

我听到的一个常见的说法是,如果发生了异常,那么所有开发人员要做的就是退出程序。

我听到的另一个常见论点是受控异常使得重构代码更加困难。

对于“我要做的就是退出”的参数,我说即使你退出了,你也需要显示一个合理的错误消息。如果你只是在处理错误上押注,那么当程序在没有明确说明原因的情况下退出时,你的用户不会太高兴。

对于“它使重构变得困难”的人群来说,这表明没有选择适当的抽象级别。与其声明方法抛出IOException,不如将IOException转换为更适合当前情况的异常。

我对用catch(Exception)(或在某些情况下用catch(Throwable)包装Main没有问题,以确保程序可以优雅地退出-但我总是捕获我需要的特定异常。这样做至少可以显示适当的错误消息。

人们从来不会回答的问题是:

如果抛出RuntimeException 子类代替异常 子类,你怎么知道 你应该去抓?

如果答案是catch Exception,那么您也在以与系统异常相同的方式处理程序员错误。在我看来这是不对的。

如果你捕获Throwable,那么你是在以同样的方式处理系统异常和虚拟机错误(等等)。在我看来这是不对的。

如果答案是您只捕获您知道抛出的异常,那么您如何知道抛出了哪些异常呢?当程序员X抛出一个新的异常而忘记捕获它时会发生什么?这对我来说似乎很危险。

我认为显示堆栈跟踪的程序是错误的。不喜欢受控异常的人不会有这种感觉吗?

所以,如果你不喜欢受控异常,你能解释一下为什么不,并回答没有得到回答的问题吗?

我不是在寻求什么时候使用这两种模型的建议,我想知道的是为什么人们从RuntimeException扩展,因为他们不喜欢从Exception扩展,和/或为什么他们捕获一个异常然后重新抛出一个RuntimeException,而不是将抛出添加到他们的方法中。我想了解不喜欢受控异常的动机。


当前回答

我知道这是一个老问题,但我花了一段时间与受控异常搏斗,我有一些东西要补充。请原谅我的长度!

我对受控异常的主要不满是它们破坏了多态性。让它们很好地与多态接口一起工作是不可能的。

以Java List界面为例。我们有常见的内存实现,比如ArrayList和LinkedList。我们还有骨架类AbstractList,这使得设计新的列表类型变得很容易。对于只读列表,我们只需要实现两个方法:size()和get(int index)。

这个例子类WidgetList从一个文件中读取一些固定大小的Widget类型的对象(没有显示出来):

class WidgetList extends AbstractList<Widget> {
    private static final int SIZE_OF_WIDGET = 100;
    private final RandomAccessFile file;

    public WidgetList(RandomAccessFile file) {
        this.file = file;
    }

    @Override
    public int size() {
        return (int)(file.length() / SIZE_OF_WIDGET);
    }

    @Override
    public Widget get(int index) {
        file.seek((long)index * SIZE_OF_WIDGET);
        byte[] data = new byte[SIZE_OF_WIDGET];
        file.read(data);
        return new Widget(data);
    }
}

By exposing the Widgets using the familiar List interface, you can retrieve items (list.get(123)) or iterate a list (for (Widget w : list) ...) without needing to know about WidgetList itself. One can pass this list to any standard methods that use generic lists, or wrap it in a Collections.synchronizedList. Code that uses it need neither know nor care whether the "Widgets" are made up on the spot, come from an array, or are read from a file, or a database, or from across the network, or from a future subspace relay. It will still work correctly because the List interface is correctly implemented.

但事实并非如此。上面的类不能编译,因为文件访问方法可能会抛出一个IOException,一个你必须“捕获或指定”的受控异常。您不能将其指定为抛出——编译器不会允许您这样做,因为这会违反List接口的约定。而且WidgetList本身也没有处理异常的有用方法(我将在后面详细说明)。

显然,唯一要做的事情是捕获并重新抛出已检查异常作为一些未检查的异常:

@Override
public int size() {
    try {
        return (int)(file.length() / SIZE_OF_WIDGET);
    } catch (IOException e) {
        throw new WidgetListException(e);
    }
}

public static class WidgetListException extends RuntimeException {
    public WidgetListException(Throwable cause) {
        super(cause);
    }
}

(编辑:Java 8为这种情况添加了UncheckedIOException类:用于跨多态方法边界捕获和重新抛出ioexception。有点证明了我的观点!))

So checked exceptions simply don't work in cases like this. You can't throw them. Ditto for a clever Map backed by a database, or an implementation of java.util.Random connected to a quantum entropy source via a COM port. As soon as you try to do anything novel with the implementation of a polymorphic interface, the concept of checked exceptions fails. But checked exceptions are so insidious that they still won't leave you in peace, because you still have to catch and rethrow any from lower-level methods, cluttering the code and cluttering the stack trace.

我发现,无处不在的Runnable接口如果调用了抛出受控异常的东西,就经常会退到这个角落。它不能按原样抛出异常,所以它所能做的就是通过捕获并作为RuntimeException重新抛出而使代码变得混乱。

实际上,如果使用hack,可以抛出未声明的受控异常。JVM在运行时并不关心受控异常规则,因此我们只需要欺骗编译器。最简单的方法就是滥用泛型。这是我的方法(类名显示,因为(在Java 8之前)它是通用方法调用语法中必需的):

class Util {
    /**
     * Throws any {@link Throwable} without needing to declare it in the
     * method's {@code throws} clause.
     * 
     * <p>When calling, it is suggested to prepend this method by the
     * {@code throw} keyword. This tells the compiler about the control flow,
     * about reachable and unreachable code. (For example, you don't need to
     * specify a method return value when throwing an exception.) To support
     * this, this method has a return type of {@link RuntimeException},
     * although it never returns anything.
     * 
     * @param t the {@code Throwable} to throw
     * @return nothing; this method never returns normally
     * @throws Throwable that was provided to the method
     * @throws NullPointerException if {@code t} is {@code null}
     */
    public static RuntimeException sneakyThrow(Throwable t) {
        return Util.<RuntimeException>sneakyThrow1(t);
    }

    @SuppressWarnings("unchecked")
    private static <T extends Throwable> RuntimeException sneakyThrow1(
            Throwable t) throws T {
        throw (T)t;
    }
}

华友世纪!使用此方法,我们可以在堆栈的任何深度抛出检查异常,而无需声明它,无需将其包装在RuntimeException中,也不会使堆栈跟踪变得混乱!再次使用"WidgetList"的例子:

@Override
public int size() {
    try {
        return (int)(file.length() / SIZE_OF_WIDGET);
    } catch (IOException e) {
        throw sneakyThrow(e);
    }
}

不幸的是,对受控异常的最后一种侮辱是,如果编译器认为无法抛出受控异常,则拒绝允许您捕获该异常。(未检查的异常没有此规则。)要捕获偷偷抛出的异常,我们必须这样做:

try {
    ...
} catch (Throwable t) { // catch everything
    if (t instanceof IOException) {
        // handle it
        ...
    } else {
        // didn't want to catch this one; let it go
        throw t;
    }
}

这有点尴尬,但从好的方面来看,它仍然比提取包装在RuntimeException中的受控异常的代码稍微简单一些。

高兴的是,扔t;语句在这里是合法的,尽管检查了t的类型,这要归功于Java 7中添加的关于重新抛出捕获的异常的规则。


When checked exceptions meet polymorphism, the opposite case is also a problem: when a method is spec'd as potentially throwing a checked exception, but an overridden implementation doesn't. For example, the abstract class OutputStream's write methods all specify throws IOException. ByteArrayOutputStream is a subclass that writes to an in-memory array instead of a true I/O source. Its overridden write methods cannot cause IOExceptions, so they have no throws clause, and you can call them without worrying about the catch-or-specify requirement.

但并非总是如此。假设Widget有一个保存到流的方法:

public void writeTo(OutputStream out) throws IOException;

声明这个方法接受普通的OutputStream是正确的做法,因此它可以多态地用于各种输出:文件、数据库、网络等等。以及内存数组。然而,对于内存中的数组,有一个虚假的要求来处理一个实际上不会发生的异常:

ByteArrayOutputStream out = new ByteArrayOutputStream();
try {
    someWidget.writeTo(out);
} catch (IOException e) {
    // can't happen (although we shouldn't ignore it if it does)
    throw new RuntimeException(e);
}

像往常一样,受控异常会成为阻碍。如果变量声明为具有更多开放式异常需求的基类型,则必须为这些异常添加处理程序,即使您知道它们不会出现在应用程序中。

但是等等,受控异常实际上非常烦人,它们甚至不允许您做相反的事情!想象一下,您当前捕获了OutputStream上的write调用抛出的任何IOException,但您想将变量的声明类型更改为ByteArrayOutputStream,编译器将斥责您试图捕获它说不能抛出的检查异常。

That rule causes some absurd problems. For example, one of the three write methods of OutputStream is not overridden by ByteArrayOutputStream. Specifically, write(byte[] data) is a convenience method that writes the full array by calling write(byte[] data, int offset, int length) with an offset of 0 and the length of the array. ByteArrayOutputStream overrides the three-argument method but inherits the one-argument convenience method as-is. The inherited method does exactly the right thing, but it includes an unwanted throws clause. That was perhaps an oversight in the design of ByteArrayOutputStream, but they can never fix it because it would break source compatibility with any code that does catch the exception -- the exception that has never, is never, and never will be thrown!

That rule is annoying during editing and debugging too. E.g., sometimes I'll comment out a method call temporarily, and if it could have thrown a checked exception, the compiler will now complain about the existence of the local try and catch blocks. So I have to comment those out too, and now when editing the code within, the IDE will indent to the wrong level because the { and } are commented out. Gah! It's a small complaint but it seems like the only thing checked exceptions ever do is cause trouble.


我快做完了。我对受控异常的最后一个不满是,在大多数调用站点上,没有什么有用的东西可以用它们来做。理想情况下,当出现问题时,我们应该有一个称职的特定于应用程序的处理程序,可以通知用户问题和/或适当地结束或重试操作。只有堆栈中较高的处理程序才能做到这一点,因为它是唯一知道总体目标的处理程序。

相反,我们得到了下面的习语,这是一种关闭编译器的猖獗方式:

try {
    ...
} catch (SomeStupidExceptionOmgWhoCares e) {
    e.printStackTrace();
}

在GUI或自动化程序中,打印的消息将不会被看到。更糟糕的是,它在异常之后继续执行其余代码。异常实际上不是一个错误吗?那就别印出来。否则,马上就会出现其他异常,此时原始异常对象将消失。这个习惯用法不比BASIC的On Error Resume Next或PHP的error_reporting(0);更好。

调用某种类型的记录器类也好不到哪里去:

try {
    ...
} catch (SomethingWeird e) {
    logger.log(e);
}

这就像e.p printstacktrace()一样懒惰;仍然在不确定的状态下继续编写代码。另外,特定日志系统或其他处理程序的选择是特定于应用程序的,因此这会影响代码重用。

但是等等!有一种简单而通用的方法可以找到特定于应用程序的处理程序。它位于调用堆栈的更高位置(或者它被设置为线程的未捕获异常处理程序)。因此,在大多数情况下,您所需要做的就是将异常抛出到堆栈的更高位置。例如,投掷;受控异常只会碍事。

我确信,在设计语言时,受控异常听起来是个好主意,但在实践中,我发现它们都很麻烦,而且没有任何好处。

其他回答

良好的证明Checked Exception是不需要的:

A lot of framework that does some work for Java. Like Spring that wraps JDBC exception to unchecked exceptions, throwing messages to the log Lot of languages that came after java, even on top on java platform - they do not use them Checked exceptions, it is kind prediction about how the client would use the code that throws an exception. But a developer who writes this code would never know about the system and business that client of code is working in. As an example Interfcace methods that force to throw checked exception. There are 100 implementation over the system, 50 or even 90 of implementations do not throw this exception, but the client still must to catch this exception if he user reference to that interface. Those 50 or 90 implementations tend to handle those exceptions inside themself, putting exception to the log (and this is good behavior for them). What we should do with that? I would better have some background logic that would do all that job - sending message to the log. And If I, as a client of code, would feel I need handle the exception - I will do it. I may forget about it, right - but if I use TDD, all my steps are covered and I know what I want. Another example when I'm working with I/O in java, it forces me to check all exception, if file does not exists? what I should do with that? If it does not exists, the system would not go to the next step. The client of this method, would not get expected content from that file - he can handle Runtime Exception, otherwise I should first check Checked Exception, put a message to log, then throw exception up out form the method. No...no - I would better do it automatically with RuntimeEception, that does it / lits up automatically. There is no any sense to handle it manually - I would be happy I saw an error message in the log (AOP can help with that.. something that fixes java). If, eventually, I deice that system should shows pop-up message to the end user - I will show it, not a problem.

我很高兴java能让我选择使用什么,当使用核心库时,比如I/O。Like提供了相同类的两个副本——一个用RuntimeEception包装。然后我们可以比较人们会使用什么。但是现在,很多人会选择java或其他语言之上的框架。比如Scala, JRuby等等。许多人相信SUN是对的。

异常类

当谈到异常时,我总是会参考Eric Lippert的恼人异常博客文章。他将例外情况分为以下几类:

Fatal - These exceptions are not your fault: you cannot prevent then, and you cannot sensibly handle them. For example, OutOfMemoryError or ThreadAbortException. Boneheaded - These exceptions are your fault: you should have prevented them, and they represent bugs in your code. For example, ArrayIndexOutOfBoundsException, NullPointerException or any IllegalArgumentException. Vexing - These exceptions are not exceptional, not your fault, you cannot prevent them, but you'll have to deal with them. They are often the result of an unfortunate design decision, such as throwing NumberFormatException from Integer.parseInt instead of providing an Integer.tryParseInt method that returns a boolean false on parse failure. Exogenous - These exceptions are usually exceptional, not your fault, you cannot (reasonably) prevent them, but you must handle them. For example, FileNotFoundException.

API用户:

不能处理致命或愚蠢的异常。 应该处理令人烦恼的异常,但它们不应该出现在理想的API中。 必须处理外生异常。

已检查的异常

API用户必须处理特定的异常,这是调用方和被调用方之间的方法契约的一部分。契约指定了被调用方期望的参数的数量和类型,调用方期望的返回值类型,以及调用方期望处理的异常。

由于API中不应该存在令人烦恼的异常,因此只有这些外生异常必须作为方法契约的一部分进行检查。相对较少的异常是外生的,因此任何API都应该有相对较少的受控异常。

受控异常是必须处理的异常。处理异常就像吞下它一样简单。在那里!异常被处理。时期。如果开发者想这样处理,没问题。但他不能忽视这个例外,已经得到了警告。

API的问题

但是任何检查了令人烦恼和致命异常的API(例如JCL)都会给API用户带来不必要的压力。必须处理这样的异常,但是要么异常太常见,以至于一开始就不应该是异常,要么在处理它时什么都做不了。这导致Java开发人员讨厌受控异常。

此外,许多api没有适当的异常类层次结构,导致各种非外生异常原因都由单个受控异常类表示(例如IOException)。这也导致Java开发人员讨厌受控异常。

结论

外生异常指的是那些不是您的错、无法预防、并且应该处理的异常。这些构成了所有可能引发的异常的一个小子集。api应该只检查外生异常,所有其他异常都不检查。这将使API更好,给API用户带来更少的压力,从而减少捕获所有、吞咽或重新抛出未经检查的异常的需要。

所以不要讨厌Java和它的受控异常。相反,讨厌那些过度使用受控异常的api。

关于受控异常的问题是,按照通常的概念理解,它们并不是真正的异常。相反,它们是API可选返回值。

The whole idea of exceptions is that an error thrown somewhere way down the call chain can bubble up and be handled by code somewhere further up, without the intervening code having to worry about it. Checked exceptions, on the other hand, require every level of code between the thrower and the catcher to declare they know about all forms of exception that can go through them. This is really little different in practice to if checked exceptions were simply special return values which the caller had to check for. eg.[pseudocode]:

public [int or IOException] writeToStream(OutputStream stream) {
    [void or IOException] a= stream.write(mybytes);
    if (a instanceof IOException)
        return a;
    return mybytes.length;
}

由于Java不能选择返回值,或简单的内联元组作为返回值,受控异常是一个合理的响应。

问题是,很多代码,包括大量标准库,在真正的异常情况下滥用了检查过的异常,您可能非常想要在几个级别上捕获这些异常。为什么IOException不是RuntimeException?在其他任何语言中,我都可以让IO异常发生,如果我不做任何处理,我的应用程序将停止,我将获得一个方便的堆栈跟踪来查看。这是最好的结果了。

也许在这个例子中有两个方法,你想从整个写入到流的过程中捕获所有的ioexception,中止该过程并跳转到错误报告代码;在Java中,如果不在每个调用级别添加' throws IOException ',甚至是本身不执行IO的级别,就无法做到这一点。这样的方法不需要知道异常处理;必须为他们的签名添加异常:

不必要地增加耦合; 使接口签名非常容易更改; 使代码可读性降低; 是如此令人讨厌,以至于常见的程序员反应是通过做一些可怕的事情来击败系统,比如' throws Exception ', ' catch (Exception e){} ',或者将所有内容包装在RuntimeException中(这使得调试更加困难)。

然后还有很多可笑的库异常,比如:

try {
    httpconn.setRequestMethod("POST");
} catch (ProtocolException e) {
    throw new CanNeverHappenException("oh dear!");
}

当你不得不用这样可笑的东西把你的代码弄得乱七八糟的时候,也难怪受控异常会受到很多人的讨厌,尽管实际上这只是简单的糟糕的API设计。

另一个特别坏的影响是在控制反转,在组件提供一个回调通用组件B组件希望能够让一个异常抛出的回调回到的地方它称为组件B,但不能因为这样会改变固定的回调接口通过B只能做包装RuntimeException真正的例外,这是更多的异常处理样板来写。

在Java及其标准库中实现的受控异常意味着样板文件、样板文件、样板文件。在一个已经啰嗦的语言中,这不是一个胜利。

程序员需要知道一个方法可能抛出的所有异常,以便正确地使用它。因此,仅仅用一些异常来打击他并不一定能帮助一个粗心的程序员避免错误。

微小的好处被繁重的成本所抵消(特别是在较大、不太灵活的代码库中,不断修改接口签名是不切实际的)。

Static analysis can be nice, but truly reliable static analysis often inflexibly demands strict work from the programmer. There is a cost-benefit calculation, and the bar needs to be set high for a check that leads to a compile time error. It would be more helpful if the IDE took on the role of communicating which exceptions a method may throw (including which are unavoidable). Although perhaps it would not be as reliable without forced exception declarations, most exceptions would still be declared in documentation, and the reliability of an IDE warning is not so crucial.

受控异常最初的形式是试图处理意外事件,而不是失败。值得称赞的目标是突出特定的可预测点(无法连接,文件未找到等)并确保开发者能够处理这些问题。

最初的概念中从未包括的是强制宣布大量系统性和不可恢复的故障。这些失败不能被声明为受控异常。

在代码中失败通常是可能的,EJB、web和Swing/AWT容器已经通过提供最外层的“失败请求”异常处理程序来满足这一点。最基本的正确策略是回滚事务并返回错误。

关键的一点是,运行时异常和受控异常在功能上是等价的。检查异常所能做的处理或恢复是运行时异常所不能做的。

反对“受控”异常的最大争论是大多数异常无法修复。简单的事实是,我们并不拥有发生故障的代码/子系统。我们看不到实现,我们不负责它,也不能修复它。

如果我们的应用程序不是一个数据库..我们不应该试图修复DB。这违反了封装原则。

特别有问题的是JDBC (SQLException)和用于EJB的RMI (RemoteException)。而不是根据最初的“受控异常”概念确定可修复的偶发事件,这些强制普遍存在的系统可靠性问题,实际上是不可修复的,被广泛宣布。

Java设计中的另一个严重缺陷是异常处理应该正确地放在尽可能高的“业务”或“请求”级别。这里的原则是“早扔晚接”。受控异常做的很少,但会阻碍这一点。

我们在Java中有一个明显的问题,即需要数千个不做任何事情的try-catch块,其中很大一部分(40%以上)被错误编码。这些方法几乎都没有实现任何真正的处理或可靠性,但会增加大量的编码开销。

最后,“受控异常”与FP函数式编程几乎不兼容。

他们对“立即处理”的坚持与“延迟捕获”异常处理最佳实践和任何抽象循环/或控制流的FP结构都不一致。

许多人谈论“处理”受控异常,但他们是在胡说八道。在失败后继续使用null、不完整或不正确的数据来假装成功没有处理任何事情。这是最低级的工程/可靠性渎职。

干净利落的失败,是处理异常最基本的正确策略。回滚事务、记录错误和向用户报告“失败”响应是良好的实践——最重要的是,防止不正确的业务数据提交到数据库。

在业务、子系统或请求级别上,异常处理的其他策略是“重试”、“重新连接”或“跳过”。所有这些都是通用的可靠性策略,并且在运行时异常时工作得更好。

最后,失败比使用不正确的数据运行要好得多。继续将导致次要错误,远离原始原因,更难调试;或者最终将导致提交错误的数据。有人会因此被解雇。

看到的: ——http://literatejava.com/exceptions/checked-exceptions-javas-biggest-mistake/