在分布式查询处理中，要根据不同的优化目的来设计各种查询处理的优化算法。
In Distrabuted query, we should devise the query optimization algorithm according to different optimization purpose.
本文设计和实现了一个分布式的城市电磁环境数据库系统以及系统中的分布式查询处理模块。
This paper designed and realized a distributed database system of the urban electromagnetic environment and the distributed query processor in the system.
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.
为了解决那个问题，OODT提供了对分布式资源的透明访问、数据恢复和查询优化功能以及分布式处理和虚拟存档。
To solve that problem, OODT provides transparent access to distributed resources, functionality for data discovery and query optimization, as well as distributed processing and virtual archives.
在描述对联邦系统执行的不同类型的查询和操作之前，我们首先对分布式查询的处理过程作一个概述。
Before we describe the different types of queries and operations that you can perform on your federated system, we would like to first provide an overview of how a distributed query is processed.
在分布式数据库系统中，由于数据的分布和冗余，查询处理变得更为复杂。
For the distributed database systems, query processing becomes more difficult because of distribution and redundance of data.
尽管在分布式处理中也使用某些集中式查询处理中的技术和方法，但就其问题的规模和优化的因素，都与集中式查询处理有质的不同。
Although some technique and ways to query in centralized database system can also be used in distributed one, there are basic differences between them in terms of scale and factors of databases.
分布式数据查询是分布式数据库管理系统的核心，而查询优化算法又是查询处理中的关键技术。
The distributed data query is the core of the distributed database managing system, but the optimized query algorithm is the key technology in query processing.
本文描述一个分布式关系数据库系统中具有语义优化的查询处理算法。
In this paper, we describe an algorithm, for query processing with semantic optimization in distributed relational database systems.
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.
数据服务中间件的主要功能包括数据的位置透明性、分布式数据查询、事务处理、异构数据源兼容。
Main functions of data access middleware are location transparency, distributed data query, transaction process and heterogeneous data sources compatibility.
本文较全面地总结了分布式数据库系统的查询处理，并提出用HASHING 方法减少半连接通讯的开销是有利的。
The query processing in the distributed database systems is comprehensively summarized. This paper shows that using HASHING method for thereduction of semi-join communication cost is beneficial.
分布式数据查询是分布式数据库管理系统的核心，而查询优化算法又是查询处理中的关键技术。
The distribute data query is the core of the distribute database manages system, but the optimized query algorithm is the key technology in query the processed.
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.
处理分布式环境下高速数据的最大挑战在于如何利用少量网络资源输出高质量的查询结果。
The biggest challenge to processing high-speed data over distributed environment is to output qualified results by using small amount of network resource.
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.
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