EGL提供简单而强大的语言单元以加速对各种数据库的数据存取操作。
EGL provides simple and powerful language elements that accelerate access to data stored in a variety of databases.
在多库系统中，对全局视图的存取操作要分解为针对多个LDB的子操作，可能还要对数据模式及查询语言进行转换。
In multidatabase, access to global view will be decomposed to several sub-operations to several LDB, and perhaps also need data schema translation and query processing.
为了减少在计算和存档数据流的过程中对昂贵的存档数据的存取，分析了聚集数据查询的特点，并引入了聚集查询语言和聚集查询重写方法。
To reduce the expensive access to archive data, the characteristics of aggregate data query were analyzed, and the aggregate query language and its rewriting method were proposed.
一个完全的自然语言数据库的存取通常需要既支持查询，也需要支持更新。
Full natural language database access requires support of both query and update capability.
在大多数面向对象数据库中，数据只能通过程序设计语言来存取，终端用户没有一个简单的工具执行查询。
In most OODB, data can only be got access by programming language, the end users have no simple tool to execute query.
在大多数面向对象数据库中，数据只能通过程序设计语言来存取，终端用户没有一个简单的工具执行查询。
In most OODB, data can only be got access by programming language, the end users have no simple tool to execute query.
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