indexed file

简明释义

索引文件

英英释义

例句

1.When dealing with large datasets, using an indexed file is essential.

处理大型数据集时，使用索引文件是必不可少的。

2.The database uses an indexed file to improve search performance.

数据库使用索引文件来提高搜索性能。

3.The application crashed because it could not find the indexed file it needed.

应用程序崩溃，因为找不到所需的索引文件。

4.To retrieve data quickly, we rely on an indexed file structure.

为了快速检索数据，我们依赖于索引文件结构。

5.An indexed file allows for faster access to records compared to a sequential file.

与顺序文件相比，索引文件允许更快地访问记录。

作文

In the modern digital age, data management is crucial for both individuals and organizations. One of the most effective ways to manage large volumes of data is through the use of an indexed file, which allows for efficient data retrieval and organization. An indexed file is a data structure that enhances the speed of data access by maintaining a separate index that points to the locations of records within a larger dataset. This method not only improves performance but also simplifies the process of searching for specific information. To understand the concept of an indexed file, it is essential to compare it with traditional file storage methods. In a standard file system, data is typically stored sequentially. When a user needs to find a particular record, the system must scan through each entry until it locates the desired information. This can be time-consuming, especially as the size of the dataset grows. On the other hand, an indexed file utilizes an index, which acts like a table of contents in a book, allowing users to jump directly to the relevant section of data without scanning everything. For instance, consider a library database containing thousands of books. If the database were organized as a simple list, finding a specific book would require scrolling through every entry. However, if the database employs an indexed file, it could include an index of titles or authors that allows users to quickly locate the exact book they are looking for. This not only saves time but also enhances the overall user experience. The advantages of using an indexed file extend beyond just speed. They also include improved data integrity and easier maintenance. As data is updated or deleted, the index can be adjusted accordingly, ensuring that it remains accurate and reflective of the current dataset. This dynamic nature makes indexed files particularly useful in environments where data changes frequently, such as online shopping platforms or social media sites. Moreover, the implementation of indexed files can vary depending on the specific requirements of the application. Different indexing techniques, such as B-trees or hash tables, can be utilized to optimize performance based on the type of queries expected. For example, a B-tree index is particularly effective for range queries, while a hash table may be more suitable for exact match queries. Choosing the right indexing method can significantly enhance the efficiency of data retrieval processes. In conclusion, the use of an indexed file is a vital component of modern data management strategies. By providing a systematic way to organize and access data, indexed files facilitate faster searches, better data integrity, and easier maintenance. As technology continues to evolve and the amount of data generated increases, the importance of efficient data structures like indexed files will only grow. Organizations that leverage these tools will have a competitive advantage in navigating the complexities of data management in today’s fast-paced digital landscape.

在现代数字时代，数据管理对个人和组织至关重要。管理大量数据的最有效方法之一是使用索引文件，它允许高效的数据检索和组织。索引文件是一种数据结构，通过维护一个指向更大数据集内记录位置的单独索引来增强数据访问的速度。这种方法不仅提高了性能，还简化了查找特定信息的过程。要理解索引文件的概念，首先需要将其与传统文件存储方法进行比较。在标准文件系统中，数据通常是顺序存储的。当用户需要查找特定记录时，系统必须扫描每个条目，直到找到所需的信息。这可能会很耗时，尤其是在数据集的大小不断增加时。另一方面，索引文件利用索引，像书籍的目录一样，允许用户直接跳转到相关的数据部分，而无需扫描所有内容。例如，考虑一个包含数千本书的图书馆数据库。如果该数据库以简单列表的形式组织，找到一本特定的书将需要逐条滚动浏览每个条目。然而，如果数据库采用了索引文件，它可以包括一本书名或作者的索引，允许用户快速找到他们想要的确切书籍。这不仅节省了时间，还增强了整体用户体验。使用索引文件的优势不仅限于速度。它们还包括改善数据完整性和更容易的维护。随着数据的更新或删除，索引可以相应调整，确保它保持准确并反映当前数据集。这种动态特性使得索引文件在数据频繁变化的环境中尤为有用，例如在线购物平台或社交媒体网站。此外，索引文件的实现可以根据应用程序的具体要求而有所不同。可以利用不同的索引技术，如B树或哈希表，以根据预期的查询类型优化性能。例如，B树索引对于范围查询特别有效，而哈希表可能更适合精确匹配查询。选择合适的索引方法可以显著提升数据检索过程的效率。总之，使用索引文件是现代数据管理策略的重要组成部分。通过提供一种系统化的方式来组织和访问数据，索引文件促进了更快的搜索、更好的数据完整性和更容易的维护。随着技术的不断发展和生成数据量的增加，高效数据结构如索引文件的重要性只会增加。利用这些工具的组织将在应对当今快速发展的数字环境中的数据管理复杂性方面拥有竞争优势。