索引大型数据集的模式

Garima Gaur, S. Kalra, Arnab Bhattacharya
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引用次数: 0

摘要

搜索是计算机科学的基本任务之一。一种直观的搜索方法是线性地进行搜索,也就是说,从数据集的开头开始,然后继续搜索,直到找到要搜索的项或什么都没有找到。然而,随着数据量的增加,线性搜索的响应时间不再是可以接受的。索引是用来快速搜索海量数据集的。有许多不同的方法可以构建复杂和高级的索引。根据动态业务需求适当选择和修改索引结构对于数据密集型应用程序至关重要。在这项工作中,我们提出了一些基本的可重用索引结构。这些结构可用于创建高级和复杂的索引结构,花费较少的精力和时间。
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Patterns for Indexing Large Datasets
Searching is one of the fundamental tasks in Computer Science. An intuitive way to search is to do it linearly, that is, start at the beginning of the dataset and continue till the searched-for item is found or nothing is found. However, as the volume of data increases, the response time of linear search is no longer acceptable. Indexes are designed to search through massive datasets quickly. There are a number of different ways of building complex and advanced indexes. Appropriate selection and modification of indexing structures according to dynamic business requirements is crucial for data-intensive applications. In this work, we present a few basic reusable indexing structures. These structures can be used to create advanced and complex indexing structures with lesser effort and time.
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