Query optimization and processing is a critical component of parallel database systems.
查询优化和处理是并行数据库管理系统的关键组成部分。
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。
In the distributed query optimization, both local processing cost and transmission cost should be thought over simultaneously.
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。
Query optimization is the main problem of query processing research, thus in particular discusses cost estimated, query plan, search Spaces and so on related problems.
查询优化是查询处理研究的一个主要问题，为此着重分析研究了查询优化所涉及的代价估计、查询规划和搜索空间等相关问题。
As a module embedded in reactive power optimization software, the engine performs the key functions of parsing and processing SQL, data access, data organization and query management.
该引擎作为一个模块嵌在无功优化软件中，主要完成解释执行SQL语句、数据存取、数据组织及查询处理等功能。
Mobile database is mainly composed of some pacing technologies: mobile transaction processing technology, mobile query optimization technology, copy and cache technology.
移动数据库主要具有以下几种关键技术：移动事务处理技术、移动查询优化技术、复制与缓存技术。
There are also some new key techniques for the system here, such as data model, query language model, routing policy, query processing, optimization strategy, and bidirectional delivery mechanism.
给出了系统中的关键技术，包括数据模型、查询语言模型、路由策略、查询处理及优化策略，以及双向递交机制。
The research on query processing is the key to query optimization, and one of the most important things in query processing is logical optimization.
对查询处理过程的研究是实现查询优化的关键，而查询处理过程中最重要的是逻辑优化阶段。
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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