在分布式查询优化中，应同时考虑本地处理代价和传输代价。
In the distributed query optimization, both local processing cost and transmission cost should be thought over simultaneously.
在分布式数据查询处理中，连接操作是最常用的、费时的而且代价较高的一种操作，也是影响查询效率的关键因素。
In processing of distribute data query, the join operation is the kind of the most in common use, time-consuming, higher price, and also is the key factor of the query efficiency for affect.
在分布式数据查询处理中，连接操作是最常用的、费时的而且代价较高的一种操作，也是影响查询效率的关键因素。
In processing of the distribute data query, the join operation is the kind of the most in common use, time-consuming and a higher price, also is the key factor of the query efficiency for affect.
在分布式数据库查询处理中，连接操作是最常用的、费时的且代价较高的一种操作，也是影响查询效率的关键因素。
For distribute database query, join operation is the kind of the most common use with time-consuming and higher price and also it is the key confluence factor of the query efficiency.
在分布式数据库系统中，由于数据的物理分布使得分布式查询处理增加了许多新的复杂性，不同的查询处理策略，其查询处理代价和复杂度是大不一样的。
When adding distributed data into the database system, distributed query process is more difficult and complicated. The cost of query process is different due to different query process tactics.
在分布式数据库系统中，由于数据的物理分布使得分布式查询处理增加了许多新的复杂性，不同的查询处理策略，其查询处理代价和复杂度是大不一样的。
When adding distributed data into the database system, distributed query process is more difficult and complicated. The cost of query process is different due to different query process tactics.
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