indexed IO

简明释义

索引输入输出

英英释义

例句

1.The file system supports indexed IO for faster access to large datasets.

文件系统支持索引输入输出以便更快速地访问大型数据集。

2.The database uses indexed IO to improve query performance.

数据库使用索引输入输出来提高查询性能。

3.Using indexed IO allows applications to handle large volumes of data efficiently.

使用索引输入输出可以让应用程序高效处理大量数据。

4.By implementing indexed IO, we can significantly reduce the time taken for data retrieval.

通过实施索引输入输出，我们可以显著减少数据检索所需的时间。

5.The performance benchmark showed that indexed IO outperformed traditional methods.

性能基准测试显示，索引输入输出优于传统方法。

作文

In the realm of computer science and data management, the concept of indexed IO plays a crucial role in enhancing the efficiency of data retrieval and storage. To understand this term better, we must first break it down into its components. 'Indexed' refers to the method of organizing data in such a way that allows for quick access, much like an index in a book. 'IO' stands for input/output, which is a fundamental concept in computing that describes how data is read from and written to storage devices.The significance of indexed IO becomes apparent when considering large databases or file systems where speed and efficiency are paramount. Imagine a library filled with thousands of books. If these books were not organized in any particular order, finding a specific title would be a time-consuming task. However, with a well-structured index, one can quickly locate the desired book without having to sift through every single one.Similarly, in computing, indexed IO allows systems to manage large volumes of data effectively. By creating an index for the data, systems can reduce the amount of time required to find and retrieve information. This is particularly important in applications where real-time data access is necessary, such as online transaction processing or data analytics.Furthermore, indexed IO can significantly improve performance in scenarios involving complex queries. When a user requests specific data, the system can refer to the index instead of scanning the entire dataset. This not only speeds up the process but also reduces the load on the system, allowing it to handle more queries simultaneously.In addition to performance benefits, indexed IO also enhances data integrity and consistency. By maintaining an index, systems can ensure that the data being accessed is accurate and up-to-date. This is particularly vital in environments where data is frequently updated, as it helps prevent discrepancies that could arise from outdated information.However, it is essential to note that while indexed IO offers numerous advantages, it also comes with its challenges. For instance, maintaining an index requires additional storage space and can introduce overhead during data modification operations. Whenever data is added, deleted, or modified, the index must be updated accordingly. This can lead to a trade-off between read performance and write performance, which developers must carefully consider when designing a system.In conclusion, the concept of indexed IO is integral to modern data management practices. By allowing for rapid data retrieval and enhancing overall system performance, it addresses many of the challenges associated with handling large datasets. As technology continues to evolve, the importance of efficient data access methods like indexed IO will only grow, making it a critical area of focus for computer scientists and engineers alike.

在计算机科学和数据管理领域，索引输入输出的概念在提高数据检索和存储效率方面起着至关重要的作用。要更好地理解这个术语，我们首先需要将其拆分为两个部分。“索引”指的是以某种方式组织数据，从而允许快速访问，就像书籍中的索引一样。“输入/输出”是计算中的一个基本概念，描述了数据如何从存储设备读取和写入。当考虑大型数据库或文件系统时，索引输入输出的重要性变得显而易见，因为速度和效率至关重要。想象一下一个装满数千本书的图书馆。如果这些书没有以任何特定的顺序组织，那么找到特定的书名将是一项耗时的任务。然而，通过一个结构良好的索引，可以快速找到所需的书，而不必逐一翻阅每一本书。同样，在计算中，索引输入输出使系统能够有效管理大量数据。通过为数据创建索引，系统可以减少查找和检索信息所需的时间。这在需要实时数据访问的应用程序中尤为重要，例如在线事务处理或数据分析。此外，索引输入输出还可以显著提高涉及复杂查询的场景的性能。当用户请求特定数据时，系统可以参考索引，而不是扫描整个数据集。这不仅加快了过程，还减少了系统的负荷，使其能够同时处理更多查询。除了性能优势之外，索引输入输出还增强了数据的完整性和一致性。通过维护索引，系统可以确保访问的数据是准确和最新的。这在数据频繁更新的环境中尤其重要，因为它有助于防止因过时信息而产生的不一致。然而，必须注意的是，尽管索引输入输出提供了许多优势，但它也带来了挑战。例如，维护索引需要额外的存储空间，并且在数据修改操作期间可能会引入开销。每当数据被添加、删除或修改时，索引必须相应更新。这可能导致读性能和写性能之间的权衡，开发人员在设计系统时必须仔细考虑这一点。总之，索引输入输出的概念对于现代数据管理实践至关重要。通过允许快速的数据检索并增强整体系统性能，它解决了处理大型数据集时面临的许多挑战。随着技术的不断发展，像索引输入输出这样高效的数据访问方法的重要性只会增加，这使其成为计算机科学家和工程师关注的关键领域。