indexing

简明释义

英[ˈɪndeksɪŋ]美[ˈɪndeksɪŋ]

n. [图情]标引；[数]指标化；编制指数

v. 指出（index 的 ing 形式）；编入索引中

英英释义

单词用法

同义词

反义词

例句

1.The full-text indexing speed within CM (step 6).

CM 中创建全文本索引（步骤6）的速度。

2.For larger queries, the lack of indexing may become an issue.

对于稍大些的查询，索引的缺失可能成为一个问题。

3.The for loop and sequence indexing

for 循环和序列索引

4.If you have enough RAM, set the value of this parameter as large as possible to decrease the indexing time dramatically.

如果你有足够的内存，请将该参数的值设置得尽可能大以显著减少索引时间。

5.Indexing E-mail didn't need to happen on each request.

并不需要针对每个请求都进行电子邮件索引。

6.As of this writing, the indexing capabilities are not yet available.

截至撰写本文时，尚未提供索引功能。

7.Indexing is done in parallel per directory.

在每个目录下可以并行完成索引。

8.We decided to pursue view indexing.

我们决定追踪视图索引。

9.Using stored procedures and negative indexing

使用存储过程和负索引

10.The team is working on indexing 索引 all the documents in the archive.

团队正在对档案中的所有文档进行索引。

11.Database indexing 索引 improves the speed of data retrieval operations.

数据库索引提高了数据检索操作的速度。

12.The library uses a system for indexing 索引 books to make them easier to find.

图书馆使用一种系统来索引书籍，以便更容易找到。

13.Search engines rely heavily on indexing 索引 web pages to provide relevant results.

搜索引擎在提供相关结果时，严重依赖于索引网页。

14.Proper indexing 索引 of your website can enhance its visibility on search engines.

适当的索引可以提高你的网站在搜索引擎上的可见性。

作文

In the digital age, the concept of indexing has become increasingly important. Indexing refers to the process of organizing data in a way that makes it easier to retrieve and manage. This practice is prevalent in various fields, including library science, information technology, and even in everyday tasks like managing files on a computer. For instance, when you save a document on your computer, the operating system often creates an index of that file, allowing you to find it quickly later on. Without indexing, locating specific documents among thousands would be a daunting task.The significance of indexing can be observed in search engines like Google. When users enter a query, the search engine uses complex algorithms to sift through vast amounts of data. These algorithms rely heavily on indexing to ensure that the most relevant results appear at the top of the search list. Essentially, indexing allows search engines to quickly access information and present it in a user-friendly manner. This not only saves time for users but also enhances their overall experience.Moreover, indexing plays a crucial role in databases. In a database management system, indexing helps speed up the retrieval of records. When a database is indexed, it creates a structure that allows the system to find data without scanning every record. This efficiency is vital for businesses that rely on large datasets for decision-making and analysis. For example, a retail company might use indexing to quickly access sales data, enabling them to respond swiftly to market trends and customer needs.In addition to its practical applications, indexing also has implications for data organization and management. As the volume of information continues to grow, effective indexing strategies become essential. Organizations must develop systems that not only categorize data but also allow for easy updates and modifications. This adaptability is key in a fast-paced environment where information is constantly changing.Furthermore, the rise of big data has brought new challenges and opportunities for indexing. With the explosion of data generated from social media, IoT devices, and other sources, traditional indexing methods may no longer suffice. Innovative approaches, such as machine learning and artificial intelligence, are being explored to enhance indexing techniques. These advancements promise to improve the accuracy and speed of data retrieval, making it easier for organizations to harness the power of big data.In conclusion, indexing is a fundamental process that underpins many aspects of our digital lives. From search engines to databases, effective indexing ensures that we can access information quickly and efficiently. As technology continues to evolve, the importance of indexing will only grow, highlighting the need for innovative solutions to manage and retrieve data in an increasingly complex world. Understanding indexing is essential for anyone looking to navigate the vast landscape of information in today's society.

在数字时代，索引的概念变得越来越重要。索引指的是以一种更容易检索和管理的方式组织数据的过程。这种做法在多个领域广泛存在，包括图书馆科学、信息技术，甚至在日常任务中，如管理计算机上的文件。例如，当你在计算机上保存文档时，操作系统通常会创建该文件的索引，使你能够在稍后快速找到它。如果没有索引，在成千上万的文档中定位特定文件将是一项艰巨的任务。索引的重要性可以在谷歌等搜索引擎中观察到。当用户输入查询时，搜索引擎使用复杂的算法来筛选大量数据。这些算法在很大程度上依赖于索引，以确保最相关的结果出现在搜索列表的顶部。从本质上讲，索引使搜索引擎能够快速访问信息，并以用户友好的方式呈现。这不仅为用户节省了时间，还提升了他们的整体体验。此外，索引在数据库中也扮演着至关重要的角色。在数据库管理系统中，索引帮助加快记录的检索。当一个数据库被索引时，它创建了一个结构，使系统能够在不扫描每条记录的情况下找到数据。这种效率对依赖大型数据集进行决策和分析的企业至关重要。例如，零售公司可能会使用索引快速访问销售数据，使他们能够迅速响应市场趋势和客户需求。除了实用应用外，索引在数据组织和管理方面也有影响。随着信息量的不断增长，有效的索引策略变得至关重要。组织必须开发系统，不仅分类数据，还允许轻松更新和修改。这种适应能力在信息不断变化的快节奏环境中是关键。此外，大数据的兴起给索引带来了新的挑战和机遇。随着社交媒体、物联网设备和其他来源生成的数据激增，传统的索引方法可能不再足够。创新的方法，如机器学习和人工智能，正在被探索，以增强索引技术。这些进步承诺提高数据检索的准确性和速度，使组织更容易利用大数据的力量。总之，索引是支撑我们数字生活许多方面的基本过程。从搜索引擎到数据库，有效的索引确保我们能够快速高效地访问信息。随着技术的不断发展，索引的重要性只会增加，这突显了在日益复杂的世界中管理和检索数据的创新解决方案的需求。理解索引对于任何希望在当今社会的广阔信息领域中导航的人来说都是至关重要的。