Query processing contains parsing of global query, binding of query variable, decomposition of query and rewriting of query.
查询处理包括全局查询语句解析、查询变量绑定、查询分解和查询重写。
In the procedure of path decomposition and query plan selection, target node in the query tree is utilized to avoid the transfer of the intermediate results.
在路径分解和查询计划选择的过程中，利用查询树中的目标节点来避免中间结果的传递。
In view of the significance of query decomposition and optimization in the Heterogeneous Data Resource Integration System, in-depth research on this aspect was mainly conducted.
考虑到查询分解及查询优化在异构数据集成系统中的重要意义，主要就这一方面进行了深入研究。
The paper introduces the steps of query process, gives the particular way of the query decomposition, and also analyses the query optimize method.
介绍了查询处理的步骤，给出了查询分解的具体方法，并对查询的优化问题进行研究分析。
Decomposition and optimization of global query is one of hard problems in heterogeneous database integration.
全局查询的分解与优化是异构数据库的集成中许多难题之一。
Query processing is one of the key techniques in HIIS, and query decomposition, scheduling and optimization are the central problems for query processing.
查询优化是异构信息集成系统中非常重要而又十分复杂的问题。
Query processing is one of the key techniques in HIIS, and query decomposition, scheduling and optimization are the central problems for query processing.
查询优化是异构信息集成系统中非常重要而又十分复杂的问题。
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