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Transforming a multi-value database system into a relational database system for faster querying

机译:将多值数据库系统转换为关系数据库系统以加快查询速度

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When the data is fluid and relationships among attributes are getting complex and are changing rapidly over time, a Multi-value Database Management System (MVDBMS) can provide a great deal of support to handle that. MVDBMSs can handle attributes taking a list of values unlike a Relational Database Management System (RDBMS) that can only accept single-valued attributes to conform first normal form (1NF). It is suitable to use multi-valued database in case where a list of values can be assigned to a single attribute in a particular record. In this case, MVDBMS can save a lot of storage space and it is quite efficient to retrieve a specific record. However, when it comes into retrieving data based on Select-Project-Join (SPJ) queries, a multi-valued database cannot handle these queries in a straightforward manner. In this paper, we propose techniques to transform a MVDBMS into a RDBMS for faster querying and retrieval. During the transformation, we carefully considered the trade-off in between execution time of queries and storage space consumed by data. Therefore, we introduce two novel techniques: one of them will generate database schema conforming to 3NF and the other will be in 1NF. We also evaluate the performance of these two techniques for different types of queries.
机译:当数据不稳定并且属性之间的关系变得复杂并且随着时间的推移而迅速变化时,多值数据库管理系统(MVDBMS)可以为处理该问题提供大量支持。 MVDBMS可以处理带有值列表的属性,这不同于关系数据库管理系统(RDBMS),后者只能接受单值属性以符合第一范式(1NF)。如果可以将值列表分配给特定记录中的单个属性,则适合使用多值数据库。在这种情况下,MVDBMS可以节省大量存储空间,并且检索特定记录非常有效。但是,当涉及基于Select-Project-Join(SPJ)查询检索数据时,多值数据库无法直接处理这些查询。在本文中,我们提出了将MVDBMS转换为RDBMS以便更快地查询和检索的技术。在转换期间,我们仔细考虑了查询的执行时间与数据消耗的存储空间之间的权衡。因此,我们介绍了两种新颖的技术:一种将生成符合3NF的数据库架构,另一种将采用1NF。我们还针对不同类型的查询评估了这两种技术的性能。

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