Auto-Tables: Relationalize Tables without Using Examples

Peng Li, Yeye He, Cong Yan, Yue Wang, Surajit Chaudhuri
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Abstract

Relational tables, where each row corresponds to an entity and each column corresponds to an attribute, have been the standard for tables in relational databases. However, such a standard cannot be taken for granted when dealing with tables "in the wild". Our survey of real spreadsheettables and web-tables shows that over 30% of such tables do not conform to the relational standard, for which complex table-restructuring transformations are needed before these tables can be queried easily using SQL-based tools. Unfortunately, the required transformations are non-trivial to program, which has become a substantial pain point for technical and non-technical users alike, as evidenced by large numbers of forum questions in places like StackOverflow and Excel/Tableau forums.
自动表格无需使用示例即可建立关系表
关系表中的每一行对应一个实体,每一列对应一个属性,这一直是关系数据库中表格的标准。然而,在处理 "野生 "表格时,不能想当然地认为这种标准是正确的。我们对真实的电子表格和网络表格进行的调查显示,超过 30% 的此类表格不符合关系标准,因此需要进行复杂的表格重组转换,才能使用基于 SQL 的工具轻松查询这些表格。遗憾的是,所需的转换编程难度很大,这已成为技术用户和非技术用户的一大痛点,StackOverflow 和 Excel/Tableau 论坛上的大量问题就是证明。
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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