minimum fetch

简明释义

最小风程

英英释义

例句

1.The system is designed to ensure a minimum fetch of data to enhance performance.

该系统旨在确保数据的最小获取以提高性能。

2.To optimize the server load, we set a minimum fetch limit for user requests.

为了优化服务器负载，我们为用户请求设置了一个最小获取限制。

3.The API documentation specifies the minimum fetch parameters required for a successful call.

API文档指定了成功调用所需的最小获取参数。

4.Adjusting the minimum fetch threshold can improve the application's responsiveness.

调整最小获取阈值可以提高应用程序的响应能力。

5.In our application, the minimum fetch size is crucial for efficient data retrieval.

在我们的应用中，最小获取大小对于高效的数据检索至关重要。

作文

In the realm of computer science and data management, efficiency is a critical factor that can determine the success or failure of a system. One of the concepts that plays a significant role in enhancing efficiency is the idea of minimum fetch. The term minimum fetch refers to the smallest amount of data that needs to be retrieved from a database or storage system to fulfill a specific request. This concept is essential in various applications, especially in web development and database management, where optimizing data retrieval can lead to faster response times and improved user experiences.When we think about how data is stored and accessed, it is crucial to minimize the amount of information that needs to be fetched from the server. For instance, consider a scenario where a user is searching for a particular product on an e-commerce website. If the system is designed to perform a minimum fetch, it will only retrieve the necessary details about the product, such as its name, price, and availability, instead of loading the entire catalog of items. This approach not only speeds up the loading time but also reduces the bandwidth consumed during the data transfer.Moreover, implementing minimum fetch strategies can significantly enhance the performance of applications. In mobile app development, where users often rely on limited data plans, minimizing the amount of data fetched can lead to better user satisfaction. For example, an application that uses minimum fetch principles will load only essential content when a user opens the app, allowing for quicker access and a smoother experience.In addition to improving speed and efficiency, minimum fetch also contributes to better resource management. By reducing the volume of data retrieved, systems can lower their operational costs, as less data processing translates to lower server loads. This is particularly important for businesses that operate on a large scale, where even slight improvements in efficiency can lead to significant cost savings over time.The implementation of minimum fetch techniques often involves careful planning and design. Developers must analyze user behavior and identify the most relevant data required for different scenarios. By understanding what information is truly necessary, they can create optimized queries that adhere to the minimum fetch principle.Furthermore, utilizing caching mechanisms can complement the minimum fetch strategy. Caching allows frequently accessed data to be stored temporarily, reducing the need to fetch it from the database repeatedly. By combining caching with minimum fetch, applications can achieve even greater efficiency, as they can serve data directly from the cache rather than performing costly database operations.In conclusion, the concept of minimum fetch is vital in the fields of data management and application development. By focusing on retrieving only the essential data needed for specific requests, developers can enhance performance, reduce costs, and improve user experiences. As technology continues to evolve, the importance of efficient data handling will only grow, making the principles of minimum fetch increasingly relevant in our digital landscape.

在计算机科学和数据管理领域，效率是决定系统成功或失败的关键因素之一。minimum fetch这一概念在提高效率方面发挥着重要作用。minimum fetch指的是为了满足特定请求而需要从数据库或存储系统中检索的最小数据量。这个概念在各种应用中都是至关重要的，尤其是在网页开发和数据库管理中，优化数据检索可以带来更快的响应时间和更好的用户体验。当我们考虑数据的存储和访问时，尽量减少需要从服务器获取的信息量至关重要。例如，考虑一个用户在电子商务网站上搜索特定产品的场景。如果系统设计为执行minimum fetch，它将只检索有关该产品的必要细节，例如名称、价格和可用性，而不是加载整个商品目录。这种方法不仅加快了加载时间，还减少了数据传输过程中消耗的带宽。此外，实施minimum fetch策略可以显著提高应用程序的性能。在移动应用开发中，用户通常依赖有限的数据计划，减少提取的数据量可以提高用户满意度。例如，一个应用程序如果采用minimum fetch原则，当用户打开应用时只加载必要的内容，从而实现更快的访问和更流畅的体验。除了提高速度和效率外，minimum fetch还促进了更好的资源管理。通过减少检索的数据量，系统可以降低运营成本，因为减少的数据处理意味着服务器负载降低。这对于大规模运营的企业尤为重要，因为即使是微小的效率提升也能在长期内带来显著的成本节约。实施minimum fetch技术通常需要仔细的规划和设计。开发人员必须分析用户行为，识别不同场景下所需的最相关数据。通过理解哪些信息是真正必要的，他们可以创建符合minimum fetch原则的优化查询。此外，利用缓存机制可以补充minimum fetch策略。缓存允许将频繁访问的数据临时存储，从而减少重复从数据库获取的需求。通过将缓存与minimum fetch结合使用，应用程序可以实现更高的效率，因为它们可以直接从缓存中提供数据，而不是执行昂贵的数据库操作。总之，minimum fetch的概念在数据管理和应用开发领域至关重要。通过专注于仅检索满足特定请求所需的基本数据，开发人员可以提高性能、降低成本并改善用户体验。随着技术的不断发展，高效的数据处理的重要性只会增加，使得minimum fetch的原则在我们的数字环境中愈发相关。