Gone are the days of storing XML data as a CLOB or shredding to relational tables.
将XML数据存储为CLOB或将其分割为关系表的时代已经过去。
The 4SS repository is highly optimized for storing XML data, although it can pretty much store data in any format.
尽管 4SS资源库可以以任意格式存储很多数据，但是它针对存储XML 数据进行了高度优化。
Native XML storage implies storing XML data intact with full DBMS knowledge of the data's internal hierarchical structure.
原生xml存储意味着按原样存储XML数据，DBMS完全了解数据的内部层次结构。
For example, early attempts at storing XML data in varchar2 fields of a relational database resulted in poor query performance when an XQuery engine was simply layered on top.
比如，最初曾经尝试将XML数据保存在关系数据库的varchar2字段中，然后简单地增加一个XQuery引擎层，结果查询性能很差。
Storing XML data in a relational database is an alternative strategy.
在关系数据库中存储XML数据是一种可选的策略。
Storing XML data in relational database is an important problem in XML field.
XML在关系数据库中的存储问题是XML研究领域中的一个重要问题。
There are three methods for physically storing XML data in a relational database: shredded, unstructured, and structured.
在关系数据库中物理地存储XML数据有三种方法：切碎、非结构化和结构化。
Under the drive of requirement and technology, how to resolve the question of storing XML data by using an RDB and publishing relational data as an XML document is a hotspot.
在需求和技术的驱动下，如何解决基于关系数据库的XML存储和出版是近年来研究人员比较关注的一个课题。
The technique of storing XML data in RDBMS affects significantly the querying performance of XML information stored in it when taking no account of the hardware environments.
在不考虑硬件环境的情况下，XML数据在RDBMS中的存储技术从很大程度上决定了基于关系的XML数据查询效率。
The technique of storing XML data in RDBMS affects significantly the querying performance of XML information stored in it when taking no account of the hardware environments.
在不考虑硬件环境的情况下，XML数据在RDBMS中的存储技术从很大程度上决定了基于关系的XML数据查询效率。
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