ToT for CSV: accessing open data CSV files through SQL

Yasushi Doi, Motomichi Toyama
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引用次数: 1

Abstract

Recently, the push for open data has been very strong, and more and more sources, such as governments are sharing data such as weather records or demographic statistics. The Remote Table Access (RTA) system allows the easy publication of data from a relational database, and its use through SQL-like queries by remote users. Still, the data currently being shared as open data comes in many formats, not always directly integrable with relational databases, and many sources publish data as raw CSV, XML or even PDF files. These files then need to be downloaded, parsed, and integrated with the final user's data, often in a relational database. In this work, we present Table on Top (ToT) for CSV, an extension of the RTA system that allows the easy publication and access of data contained in CSV files through RTA.
ToT for CSV:通过SQL访问开放数据CSV文件
最近,对开放数据的推动非常强烈,越来越多的来源,如政府正在共享天气记录或人口统计数据等数据。远程表访问(RTA)系统允许从关系数据库轻松发布数据,并允许远程用户通过类似sql的查询使用数据。尽管如此,目前作为开放数据共享的数据有多种格式,并不总是与关系数据库直接集成,而且许多数据源以原始CSV、XML甚至PDF文件的形式发布数据。然后需要下载、解析这些文件,并将其与最终用户的数据(通常在关系数据库中)集成。在这项工作中,我们提出了CSV的顶部表(ToT),这是RTA系统的扩展,允许通过RTA轻松发布和访问CSV文件中包含的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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