数据库SQL执行计划应用Apache Spark

Eri Dariato
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引用次数: 0

摘要

为了在RDBMS中处理数据,通常使用所谓的SQL。根据连接语句、所涉及的表、过滤器语句等,该SQL可以简单也可以复杂。如果它对系统来说是复杂和繁重的,那么数据库的整体性能将下降,SQL执行将无法完成。这就是为什么了解通过SQL执行计划执行SQL时涉及到哪些组件是很重要的。SQL Execution Plan中的组件可能非常多样化,因此使用人工智能来帮助分析和总结哪些因素在决定性能方面发挥了最大的作用。此外,这些因素被称为特征工程。本研究的目的是明确当我们向系统发送SQL命令时,SQL执行计划中存在哪些特性。本文采用的研究方法是原型过程模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analisis dan Perancangan Feature Engineering Pada SQL Execution Plan Aplikasi Apache Spark
To process data in RDBMS, it is commonly used what is called SQL. This SQL can be simple or complex depending on the join statement, the tables involved, filter statement, and many more. If it is complex and burdensome to the system, then the performance of the database as a whole will decrease and SQL execution will not finish. That's why it's important to know, what components are involved when executing SQL through the SQL Execution Plan. The components in the SQL Execution Plan can be very diverse, so artificial intelligence is used to help analyze and conclude what factors have the most role in determining performance. Furthermore, these factors are called feature engineering. The purpose of this research is to formulate what features exist in the SQL Execution Plan when we send SQL commands to the system. The research method used is the Prototyping process model.
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