indexed

简明释义

英['ɪndekst]美[ˈɪndekst]

v. 为……编索引；把……编入索引；指示；使……自动与价格系数挂钩；（机器）转位（index 的过去式和过去分词）

英英释义

单词用法

同义词

反义词

例句

1.For increased search performance, the first column is indexed.

为了提高搜索性能，第一个列将被索引。

2.Each box can then be given a number and indexed onto the document.

然后给每个箱子分配一个号码并添加到文档索引中。

3.A quarter of this vast archive has been indexed and made accessible to researchers.

这批数量巨大的档案的1/4都已编了索引，可供研究者查阅。

4.Step 3. Build indexes for all multiline text fields that will be indexed.

步骤3.为为所有将要被索引的多行文本予建立索引。

5.Content is fully indexed to support search.

内容完全编入索引以支持搜索。

6.When a column is indexed.

当索引了一列时。

7.The library's catalog is indexed for easy access to books.

图书馆的目录已被索引，以便于查找书籍。

8.The financial report is indexed according to various metrics.

财务报告根据各种指标被索引。

9.Google indexes web pages to provide relevant search results.

谷歌索引网页，以提供相关的搜索结果。

10.The database has been indexed to improve search performance.

数据库已被索引以提高搜索性能。

11.All articles are indexed by their publication date.

所有文章都按其出版日期索引。

作文

In the digital age, information is abundant, and the ability to access it quickly is essential. One of the most effective ways to manage and retrieve information is through systems that are indexed for easy reference. An indexed system allows users to locate data efficiently, significantly improving productivity and decision-making processes. This concept is particularly important in libraries, databases, and even search engines, where vast amounts of data need to be organized and made accessible to users.For instance, when we think about a library, the traditional card catalog was an early form of an indexed system. Each card represented a book and contained details such as the title, author, and subject. This method allowed patrons to find books quickly without having to browse through every shelf. Today, most libraries use digital catalogs that are even more sophisticated. These systems are indexed not just by title and author but also by keywords, genres, and other criteria, making the search process much faster and more efficient.Similarly, in the realm of data management, databases are often indexed to enhance retrieval speed. When a database is indexed, it creates a data structure that improves the speed of data retrieval operations. For example, if a company has a customer database with thousands of entries, an indexed search can help employees find specific customer information in seconds rather than minutes. This efficiency can lead to better customer service and quicker response times, which are critical in today’s fast-paced business environment.Moreover, search engines like Google utilize complex algorithms that rely heavily on indexed data. When a user enters a search query, the engine quickly sifts through its massive index of web pages to find relevant results. Without this indexed system, finding information on the internet would be a daunting task, as users would have to manually sift through billions of pages. The speed and accuracy of search results are largely due to how well the data is indexed.The importance of indexed systems extends beyond just ease of access; it also plays a crucial role in data analysis. In research, scientists often need to analyze large datasets. If these datasets are properly indexed, researchers can quickly filter through data to find patterns and insights. This capability is vital in fields such as medicine, where timely data analysis can lead to breakthroughs in treatment and understanding of diseases.In conclusion, the concept of being indexed is fundamental to our ability to navigate the vast landscape of information in the modern world. Whether it is through libraries, databases, or search engines, indexed systems enhance our ability to find, retrieve, and analyze information efficiently. As technology continues to evolve, the methods and tools for indexing data will likely become even more advanced, further streamlining our access to knowledge and supporting informed decision-making across various sectors. Understanding and utilizing indexed systems will remain a critical skill in an increasingly data-driven society.

在数字时代，信息丰富，快速访问信息的能力至关重要。管理和检索信息的有效方法之一是通过系统进行索引以便于参考。一个索引的系统允许用户高效地定位数据，从而显著提高生产力和决策过程。这一概念在图书馆、数据库甚至搜索引擎中尤为重要，因为大量的数据需要被组织并使用户可以访问。例如，当我们想到一个图书馆时，传统的卡片目录就是一种早期的索引系统。每张卡片代表一本书，并包含标题、作者和主题等细节。这种方法使得读者能够快速找到书籍，而不必浏览每个书架。如今，大多数图书馆使用的数字目录更加复杂。这些系统不仅按标题和作者索引，还按关键词、类别和其他标准进行索引，使搜索过程变得更快、更高效。同样，在数据管理领域，数据库通常会被索引以提高检索速度。当数据库被索引时，它会创建一种数据结构，从而改善数据检索操作的速度。例如，如果一家公司有一个包含数千条记录的客户数据库，索引搜索可以帮助员工在几秒钟内找到特定的客户信息，而不是几分钟。这种效率可以带来更好的客户服务和更快的响应时间，这在当今快节奏的商业环境中至关重要。此外，像谷歌这样的搜索引擎利用复杂的算法，这些算法严重依赖于索引数据。当用户输入搜索查询时，搜索引擎迅速筛选其庞大的网页索引以寻找相关结果。如果没有这种索引系统，在互联网上找到信息将是一项艰巨的任务，因为用户必须手动筛选数十亿个页面。搜索结果的速度和准确性在很大程度上取决于数据如何被索引。索引系统的重要性不仅限于便捷的访问；它在数据分析中也发挥着至关重要的作用。在研究中，科学家们常常需要分析大型数据集。如果这些数据集经过适当的索引，研究人员可以快速过滤数据以查找模式和见解。这种能力在医学等领域至关重要，因为及时的数据分析可以导致治疗和对疾病理解的突破。总之，索引的概念对于我们在现代世界中导航广阔的信息空间的能力是基础。无论是通过图书馆、数据库还是搜索引擎，索引系统增强了我们高效查找、检索和分析信息的能力。随着技术的不断发展，索引数据的方法和工具可能会变得更加先进，进一步简化我们获取知识的过程，并支持各个行业的明智决策。在一个日益数据驱动的社会中，理解和利用索引系统将仍然是一个关键技能。