SQL数据库与物理数据库调优技术和NoSQL图数据库比较

Wisal Khan, Waqas Ahmad, Bin Luo, E. Ahmed
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引用次数: 20

摘要

在过去的三十年中,关系数据库在许多不同性质的组织中使用,例如教育、卫生、企业和许多其他应用程序。SQL数据库是为管理结构化数据而设计的,它具有惊人的性能。利用关系数据库的原子性、一致性、隔离性、持久性(ACID)特性来管理数据的完整性和一致性。物理数据库技术用于提高关系数据库的性能。表空间也称为子文件夹,是Oracle SQL数据库使用的一种物理数据库技术。表空间用于将数据逻辑地存储在单独的数据文件中。如今,各种组织产生了大量不同性质(非结构化和半结构化)的数据,如视频、图像、博客等。SQL数据库无法有效地处理如此大量的数据。NoSQL数据库用于高效地处理和分析大量数据。根据组织需求,行业中使用了四种不同类型的NoSQL数据库。在本文中,我们首先对Oracle Relational数据库进行物理数据库调优,然后与NoSQL Graph数据库进行比较。由于采用了物理数据库调优技术(表空间),关系数据库的性能提高了50%。此外,关系数据库NoSQL图数据库的物理数据库调优方法在我们提出的所有场景中都表现得更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SQL Database with physical database tuning technique and NoSQL graph database comparisons
Relational databases are used in many organizations of various natures from last three decades such as Education, health, businesses and in many other applications. SQL databases are designed to manage structured data and show tremendous performance. Atomicity, Consistency Isolation, Durability (ACID) property of Relational databases is used to manage data integrity and consistency. Physical database techniques are used to increase the performance of relational databases. Tablespaces also called subfolder is one of the physical database technique used by Oracle SQL database. Tablespaces are used to store the data logically in separate data files. Now-a-days huge amount and varied nature (unstructured and semi structured) of data is generated by the various organizations i.e., videos, images, blogs etc. This large amount of data is not handled by the SQL databases efficiently. NoSQL databases are used to process and analyze the large amount of data efficiently. Four different types of NoSQL databases are used in the industry according to the organization requirement. In this article, first, we do the physical database tuning of the Oracle Relational database and then compared with NoSQL Graph database. Relational database performance is increased up to 50% due to physical database tuning technique (Tablespaces). Besides, physical database tuning approach of relational database NoSQL graph database performed better in all our proposed scenarios.
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