The distributed data access middleware may meet the needs of distributed data query and distributed calculation of enterprise.
该分布式数据服务中间件可满足企业分布式查询、分布式计算等实际应用需求。
Main functions of data access middleware are location transparency, distributed data query, transaction process and heterogeneous data sources compatibility.
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。
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.
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.
多级安全查询处理器是多级安全数据库的核心部分，它提供对安全级查询的支持。
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.
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。
For the distributed database systems, query processing becomes more difficult because of distribution and redundance of data.
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。
To improve query performance of distributed system, a conjunction data distribution tree is proposed by studying relation between data.
为了提高分布式系统的查询性能，通过研究数据之间的关系，提出一个关联数据分布树。
Query optimization: the goals of query optimization in distributed data integration system are different from those in traditional database system.
查询优化：分布式数据集成系统查询优化的目标与集中式数据库有所不同。
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。
Compared with existing methods, the new method spends less time on data partitioning, and obtains less distributed transactions and faster speed on query for partitioning databases.
与现有方法相比，该方法减少了分区响应时间，保证了较少的分布式事务数量，并提高了分区事务查询速度。
Compared with existing methods, the new method spends less time on data partitioning, and obtains less distributed transactions and faster speed on query for partitioning databases.
与现有方法相比，该方法减少了分区响应时间，保证了较少的分布式事务数量，并提高了分区事务查询速度。
应用推荐