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Home Java javaTutorial What is `fail-fast` behavior?

What is `fail-fast` behavior?

Jun 25, 2025 pm 04:45 PM
Behavior

Fail-fast behavior is a design principle that stops and reports immediately when errors are found, used to quickly expose problems to avoid subsequent risks. 1. In programming languages ??and libraries, such as Java's ConcurrentModificationException, Python iterative modification errors, and unit test failures, which helps quickly locate errors. 2. In API design, prevent error spread by verifying parameters as early as possible, such as function limiting the percentage range throws exceptions in advance. 3. Practices such as CI/CD construction failure, front-end form pre-checking, priority writing of unit tests, etc. in the development process can also speed up problem feedback. Although not applicable to all scenarios, using fail-fast during development phases and critical logic can significantly reduce debugging costs.

What is `fail-fast` behavior?

Fail-fast behavior is a design principle, meaning that the system or program stops execution and reports problems immediately when an error is encountered, rather than trying to continue running or silently ignore the error. The core idea of ??this method is: once the problem is discovered, it will be exposed immediately to avoid hiding more serious problems .

For example, when you write code, you call a function that returns null, and you directly access the properties of this result, some systems will immediately throw an exception to tell you what is wrong, which is fail-fast; on the contrary, if it skips quietly or returns a default value, it is not.

Here are some common perspectives to see how fail-fast is used in practice:


1. Fail-fast in programming languages ??and libraries

Many modern languages ??or frameworks have built-in fail-fast mechanisms. For example, when HashMap in Java is modified in a multi-threaded environment, ConcurrentModificationException may be thrown, just to let you know that the current operation is not safe.

Similar ones:

  • Modifying the list during iteration in Python may trigger an error.
  • The unit test framework stops after the first assertion fails, rather than continuing to run all tests.

The benefits of this approach are obvious: fast error positioning and low debugging cost . If you ignore small problems in the early stages, they are likely to turn into big failures in the online environment.


2. Fail-fast idea in API design

In interface design, it is also often recommended to verify input parameters as early as possible. For example, a function expects to pass in a positive integer, but if you pass a negative number, you should immediately throw an exception, instead of waiting until a strange result is calculated later before an error is reported.

For example:

 function calculateDiscount(percent) {
  if (percent < 0 || percent > 100) {
    throw new Error("Percent must be between 0 and 100");
  }
  // Normal logic}

Doing so will prevent the bug from spreading and will also make the caller aware of the wrong usage faster.


3. Fail-fast practice in the development process

Not only at the code level, but also in the software development process, the spirit of fail-fast can be reflected:

  • The CI/CD pipeline terminates the construction immediately as soon as it detects that the test fails.
  • Do basic verification before submitting the front-end form, instead of waiting for the back-end to return an error.
  • When writing code, write unit tests first to quickly discover logical vulnerabilities.

These practices are essentially intended to expose the problem as soon as possible and reduce the cost of repair.


Fail-fast is not available at all times. For example, in online services, sometimes "fault tolerance" is needed to ensure availability. However, in the development stage, key logic and data processing, using fail-fast can save you a lot of time to investigate.

Basically that's it.

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