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.

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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.

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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.

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