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- Query execution is the basis of query process mechanism. 查询处理机制中查询执行是基本。
- Query processing is not extensible. 查询处理是不可扩展的。
- You want to index the XML data for faster query processing. 您希望对XML数据创建索引,以提高查询处理的速度。
- Efficient algorithm is the key of efficient query processing. 高效的算法是高效查询处理的关键。
- Meanwhile the new approach has the same temporal-spatial overhead as original LSH when performing query, since the query process is preceded with tuning process. 并且由于参数调整过程在查询过程之前，因此改进LSH算法和原始LSH算法在进行查询时有相同的时间空间性能。
- On this basis, it raises a query optimization model for OQL by introducing some query theories of RDB into the query process of OODB, and gives its implement strategy. 在此基础上，将RDB的一些查询理论应用于OODB的查询中，提出了一种OQL的查询优化模型，并给出其实现策略。
- Efficient structural join is the key operation in XML query processing. 有效的结构连接是XML查询处理的关键。
- Query processing in such systems may involve lookups on server database. 在这类系统上的查询处理可能会设计在服务器端数据库上的查找。
- Semantic Query Specifies semantic query processing extension used to process report models. 指定用于处理报表模型的语义查询处理扩展插件。
- According to the above features, it is an important domain to improve the traditional query process and optimization mechanism and introduce it into embedded real-time database management system (ARTs-EDB). 在上述的基础上,改进传统的查询处理及其优化机制,是嵌入式主动实时数据库管理系统研究中的重要方面。
- In this dissertation, the system architecture of the EDBMS based on the EMS memory is pinpointed. Those pivotal techniques in the development of the system, including query process and query optimization are further discussed. 在这个思想的指导下,本文重点考虑了基于内存的嵌入式数据库管理系统的体系结构,对嵌入式数据库系统的查询机制以及实现技术做了详细的探讨,以及对嵌入式数据系统查询优化技术进行了细致的讨论和研究。
- Describes how to reduce the load on your primary server by using a secondary server for read-only query processing. 说明如何通过使用辅助服务器进行只读查询处理来减少主服务器上的负荷。
- The CIMOM supports services such as event notification, remote access, and query processing. CIMOM支持服务,比如事件通知、远程访问以及查询处理。
- Building the index avoids parsing the whole data at run time and benefits index lookups for efficient query processing. 生成索引避免了在运行时分析所有数据,并且索引查找有利于进行高效的查询处理。
- You can reduce the load on your primary server by using a secondary server for read-only query processing. 通过使用辅助服务器进行只读查询处理,可以减少主服务器的负荷。
- A list of default query processing options is established for the duration of a user's work session. 将针对用户工作会话的持续时间,建立一个默认查询处理选项的列表。
- We expand and propose some algorithms of query processing on EDF&B index, and show their efficiency. 扩展并提出了几种EDF&B索引上的查询处理算法，并用实验验证了算法的高效性。
- Describes statement processing, stored procedure execution, query plan caching and reuse, and parallel query processing. 介绍语句处理、存储过程执行、查询计划缓存和重用以及并行查询处理。
- This can result in a substantial improvement for expensive functions that are called during query processing with the same parameters. 这样就可以大大改进那些在查询处理过程中用相同参数调用的且占用大量资源的函数。
- Determines whether query processing is optimized towards a workload that is a mix of updates and reads or a workload that is predominantly read-based. 确定优化查询处理的目标是针对更新和读取混合进行的负载还是针对主要基于读取的负载。
