XML data is stored in a native tree format, separate from the relational data.
XML数据按照原生的树格式与关系数据分开存储。
Manipulations like this (backed by the proper relational theory) are at the heart of database query optimizers. The resulting tree is shown in Figure 2.
此类操作(由恰当的关系理论作为支持)是数据库查询优化器的核心所在。
However, due to the mismatch between the XML's tree structure and flat relational tables, mapping XML document to relational database is an involved problem. So it becomes a pop research direction.
然而由于复杂的树形XML文档和简单平坦的关系型数据库表结构之间固有的不匹配,使得XML到关系型数据库的映射实现十分困难,因此成为当前的一个热门研究课题。
A thinking about data of tree structure how to stored in relational database and a method of how about these data is displayed on web is discussed in this paper.
本文介绍了树型结构数据在关系数据库中存储的思想和一种在网页中显示树型数据结构的方法。
Database systems are more efficient with the support of database machines. By combining the features of database operations, a tree-structured relational database machine TDM is proposed.
数据库机器为提高数据库系统的效率提供了强有力的支持,本文结合数据库操作特点从而提出了一种树型关系数据库机tdm系统。
This paper introduces a set of algorithms of parallel operations of a database machine TDM, which is a tree-structured relational database machine implemented by us.
本文介绍了一个由我们研制的树型关系数据库机tdm的并行操作算法。
This paper introduces a set of algorithms of parallel operations of a database machine TDM, which is a tree-structured relational database machine implemented by us.
本文介绍了一个由我们研制的树型关系数据库机tdm的并行操作算法。
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