idempotency

简明释义

英[ˌaɪ.dɛmˈpɒt.ən.si]美[ˌaɪ.dɛmˈpoʊ.tən.si]

n. 幂等性

英英释义

单词用法

同义词

反义词

例句

1.Idempotency is the central idea in REST: the same request - perhaps encoding client information - should return the same data whenever it is made.

等幂是REST的基本思想：无论何时发起，相同的请求—可能是客户机信息的编码—应该返回相同的数据。

2.Idempotency is the central idea in REST: the same request - perhaps encoding client information - should return the same data whenever it is made.

等幂是REST的基本思想：无论何时发起，相同的请求—可能是客户机信息的编码—应该返回相同的数据。

3.All you lose in flushing the cache is a little server load and some bandwidth; it does not violate underlying idempotency.

刷新缓存时会损失一些服务器加载数据和一些带宽；这并不违背基本的等幂性。

4.The idea behind idempotency is merely that the change involved should not be a direct effect of the GET request itself.

所谓等幂，就是指所涉及的修改不应该直接影响GET请求本身。

5.In RESTful APIs, the DELETE method is expected to be idempotent, meaning that calling it multiple times will not change the outcome beyond the initial request.

在RESTful API中，DELETE方法被期望是幂等的，这意味着多次调用它不会改变初始请求之外的结果。

6.When designing a database operation, ensuring idempotency can help avoid duplicate entries if the operation is executed more than once.

在设计数据库操作时，确保幂等性可以帮助避免在操作执行多次时出现重复条目。

7.The concept of idempotency is crucial in distributed systems to ensure consistent state across various nodes.

在分布式系统中，幂等性的概念对于确保各个节点之间的一致状态至关重要。

8.A payment gateway should implement idempotency so that if a user accidentally submits a payment request twice, only one transaction is processed.

支付网关应该实现幂等性，以便如果用户意外提交两次支付请求，则只处理一笔交易。

9.To achieve idempotency, the server can return the same response for identical requests, regardless of how many times they are made.

为了实现幂等性，服务器可以对相同的请求返回相同的响应，无论它们被发送多少次。

作文

In the realm of computer science and mathematics, the concept of idempotency is crucial for understanding certain operations and their effects. To define idempotency, we can say that an operation is idempotent if applying it multiple times yields the same result as applying it once. This property is particularly important in various fields, including programming, database management, and web services. Consider a simple example in the context of web development. When a user submits a form to create a new account, the action is typically a POST request. If this request is sent multiple times due to network issues or user error, it could lead to the creation of multiple accounts. However, if the operation were designed with idempotency in mind, the server would recognize that the request has already been processed and would not create additional accounts. Instead, it would return the same response as the first submission, ensuring that the user experience remains consistent and predictable. Another area where idempotency plays a significant role is in RESTful API design. HTTP methods are defined to have specific behaviors; for instance, GET and PUT requests are inherently idempotent. A GET request retrieves data without modifying it, meaning that no matter how many times you request the same data, the outcome remains unchanged. Similarly, a PUT request updates a resource to a specific state. If you send the same PUT request multiple times, the resource will still end up in the same state as if you had only sent it once. This characteristic of idempotency simplifies error handling and enhances the reliability of web applications. In contrast, operations that are not idempotent can lead to unintended consequences. For example, a DELETE request is generally considered non-idempotent because deleting a resource multiple times can yield different results—once the resource is deleted, subsequent DELETE requests may lead to errors or unexpected behavior. Understanding the difference between idempotent and non-idempotent operations is essential for developers to design robust systems that can handle failures gracefully. The concept of idempotency also extends beyond technology into mathematics. In algebra, certain functions exhibit idempotency when applying them multiple times does not change the outcome after the first application. For instance, the absolute value function is idempotent because applying it repeatedly will not alter the result after the first application. This mathematical perspective reinforces the idea of stability and predictability associated with idempotency. In conclusion, the principle of idempotency is a fundamental concept in both computer science and mathematics. It serves as a guiding principle for designing systems that are resilient and reliable. By ensuring that operations can be repeated without adverse effects, developers can create applications that provide a consistent user experience and reduce the likelihood of errors. As technology continues to evolve, the importance of idempotency will only grow, making it essential for anyone involved in system design and development to understand and implement this concept effectively.

在计算机科学和数学领域，幂等性的概念对于理解某些操作及其效果至关重要。我们可以这样定义幂等性：如果多次应用一个操作的结果与只应用一次的结果相同，那么这个操作就是幂等的。这个特性在多个领域中都很重要，包括编程、数据库管理和网络服务。 考虑一个简单的例子，在网络开发的背景下。当用户提交一个创建新账户的表单时，这个操作通常是一个POST请求。如果由于网络问题或用户错误，这个请求被多次发送，可能会导致多个账户的创建。然而，如果这个操作是以幂等性为设计原则，服务器将会识别出这个请求已经被处理，并不会创建额外的账户。相反，它将返回与第一次提交相同的响应，从而确保用户体验的一致性和可预测性。 幂等性在RESTful API设计中也发挥着重要作用。HTTP方法被定义为具有特定的行为；例如，GET和PUT请求本质上是幂等的。GET请求检索数据而不修改它，这意味着无论你请求多少次相同的数据，结果都是不变的。同样，PUT请求将资源更新到特定状态。如果你多次发送相同的PUT请求，资源仍将处于与只发送一次相同的状态。这种幂等性的特性简化了错误处理，并增强了Web应用程序的可靠性。 相比之下，非幂等操作可能会导致意想不到的后果。例如，DELETE请求通常被认为是非幂等的，因为多次删除资源可能会产生不同的结果——一旦资源被删除，后续的DELETE请求可能会导致错误或意外行为。理解幂等操作与非幂等操作之间的区别对于开发人员设计稳健的系统至关重要，这样可以优雅地处理故障。 幂等性的概念也超越了技术，延伸到数学。在代数中，某些函数表现出幂等性，因为多次应用它们不会改变第一次应用后的结果。例如，绝对值函数是幂等的，因为重复应用它不会改变结果。这种数学视角强化了与幂等性相关的稳定性和可预测性的理念。 总之，幂等性原理是计算机科学和数学中的一个基本概念。它作为设计具有弹性和可靠性的系统的指导原则。通过确保操作可以重复而不会产生不利影响，开发人员可以创建提供一致用户体验并减少错误可能性的应用程序。随着技术的不断发展，幂等性的重要性将只会增加，因此任何参与系统设计和开发的人都必须有效地理解和实施这一概念。