Abstract: The conflict of data structure and heterogeneous representation between different data sources makes it becomes a difficult problem to query heterogeneous data sources under distributed environment. This paper proposes a multi-table query translation algorithm under distributed environment. This algorithm decomposes the source query during query transition process, transforms and reconstructs target query on the target data source, and solves the problem of multi-table query transition problem in data sharing. Experimental results show that the algorithm is effective.

Key words: data sharing, query conversion, multi-table

摘要： 不同数据源之间的数据表示方法不同且结构上存在冲突，导致分布式环境下的异构数据源查询成为一个难点。提出一种分布式环境下的多表查询转换算法，该算法在查询转换过程中对源查询进行分解、在目标数据源上进行目标查询的转换和重构，解决数据共享中的多表查询转换问题。实验结果证明了该算法的有效性。

关键词: 数据共享, 查询转换, 多表

CLC Number: 

• TP311.12