与Java中的异常vs Throwable相关联的开销

问题描述

我知道

throw new Exception();

有一个相当大的开销，因为它创建了一个完整的stackTrace等。

has a pretty large overhead, since it creates a full stackTrace, etc.
Does

throw new Throwable();

提出同样的问题？这个行为是继承还是抛出一个Throwable有一个较小的（o no）开销？

present the same problem? Is this behaviour inherited, or does throwing a Throwable has a smaller (o no) overhead?

编辑

从一个分析师的观点，用户插入错误的密码是程序的正常执行顺序的例外。所以如果我有：

EDIT
From an analyst point of view, a user inserting wrong password is an exception to the normal execution order of a program. So if I have:

public Session newSession() {  
  validate_user_and_password();   
}

抛出UserNotValidException会从分析人员的观点。

返回 null 或 0 如果您的代码很不错，只是听起来不正确抽象。我只是想知道我是否可以在代码中实际实现这一点，或者我必须将它放在理论上。

throwing a UserNotValidException would sound correct from an analysts point of view.
Returning null or 0 just sounds incorrect if your code has pretty good abstraction. I just wanted to know if I could actually implement this in code, or if I'd have to just leave it to theory.

编程点之间有很大的区别 - 视图异常和分析器视点异常。

There's a good difference between programming-point-of-view exception and analyst-point-of-view exception.

注意：我给了一个非常简单而愚蠢的例子，这不是我的情况。

注2：我知道返回 null 将是普通的东西，但是我需要有正确的抽象和OO代码，

Note: I've given a really simple and silly example, this is not quite my case.
Note 2: I know returning null would be the ordinary thing, but I'm required to have properly abstracted and OO code, and, personally, I see no harm in this.

推荐答案

Throwable 还会创建一个堆栈跟踪创建时从：

Throwable also creates a stacktrace when it's created. From the java docs for Throwable:

因此，关于创建堆栈跟踪的开销方面， Exception 和 Throwable 。

So in terms of overhead with regards to creating a stacktrace, there should be no difference between Exception and Throwable.

如果您使用特殊事件应该是），那么你不应该太关心堆栈跟踪的开销。运行代码中很少出现异常事件。因此，异常不应以任何重要的方式影响正常代码的性能。

If you are using exceptions for "exceptional events" (as you should be), then you shouldn't be too concerned with the overhead of a stacktrace. An exceptional event occurs rarely in running code. So Exceptions shouldn't impact the performance of normal code in any significant way.

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