时间环境下的触发器性能特征

Michal Kvet, K. Matiaško
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引用次数: 1

摘要

存储在数据库中的数据特征随着时间的推移而变化。现在,不可避免地要存储一段时间内对象的所有状态。传统的数据库模式是基于对实际状态的管理,这是不合适的。因此,时间方法得到了发展。在本文中,我们提出了基于属性级架构的时间解决方案,在属性变化频率的粒度不相同的情况下,该方案可以有效地使用。存储在数据库中的数据的另一个方面是基于安全性的,因此,有必要仅由特权用户提供对数据的访问和执行更改。这个需求主要由触发器提供。可以声明受单个子句影响的多个触发特性。因此,决策和开发必须基于适用性和正确性,以提供最佳性能。在本文中,我们定义了触发器的子句并比较了性能。
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Trigger Performance Characteristics in Temporal Environment
Data characteristics stored in the database evolve over the time. Nowadays, it is inevitable to store all states of the objects over the time. Paradigms of conventional database are based on managing actual states, which are inappropriate. Therefore, temporal approach has been developed. In this paper, we deal with our proposed temporal solution based on attribute level architecture, which can be used effectively, if the granularity of the attribute change frequency is not the same. Another aspect of the data stored in the database is based on security, therefore, it is necessary to provide access to the data and perform changes only by privileged users. This requirement is mostly provided by the triggers. Multiple trigger characteristics influenced by individual clauses can be declared. Therefore, decision and development must be based on suitability and correctness to provide best performance. In this paper, we define clauses for triggers and compare performance.
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