因此，数据库必须针对读写操作优化。
Therefore, the databases must be optimized for read and write operations.
查询优化集中于cpu密集型(CPUbound)执行路径，而全缓存数据库将仍然集中于优化取页到大容量存储器的操作，而这已不再是问题。
Query optimization focuses on CPUbound execution paths, while a fully cached database will still be preoccupied with optimizing page fetches to mass storage that are no longer an issue.
针对某些API操作(如查询与业务流程和任务相关的对象)的数据库查询优化(使用物化视图或存储查询)(请参见参考资料部分)。
Database query optimization for some of the APIs' operations like querying business process and task related objects (usage of materialized views or stored queries) (see the Resources section).
我们不仅通过利用一个操作码缓存和优化PHP配置探究了php级别的技术，而且探究了如何优化您的数据库设计来实现合理的索引编制。
We looked at techniques not only at the PHP level, by leveraging an opcode cache and optimizing the PHP configuration, but also looked at optimizing your database design for proper indexing.
程序本身的其他方面，比如数据库操作已经进行了优化。
Aspects of the program itself, such as database operations, were already tuned.
请记住，诸如db2UDB和IDS等数据库都是优化了数据集合操作的专用引擎。
Keep in mind that databases such as DB2 UDB and IDS are specialized engines that have been optimized for data set manipulation.
FlockDB是一个存储图数据的数据库，但是它并没有优化遍历图的操作。
FlockDB is a database that stores graph data, but it isn't a database optimized for graph-traversal operations.
此类操作(由恰当的关系理论作为支持)是数据库查询优化器的核心所在。
Manipulations like this (backed by the proper relational theory) are at the heart of database query optimizers. The resulting tree is shown in Figure 2.
所推荐的操作实践阐明了如何优化Web服务器、应用服务器、LDAP服务器和数据库服务器的性能。
The recommended practices illustrate how to optimize the performance of the Web server, application server, LDAP server, and database server.
空间数据库能够提供高效的空间对象存储管理能力，良好的空间数据组织和约束能力，优化的空间分析操作功能。
Spatial Database can supply high-powered capability of storing and managing spatial object, well capability of organizing and restricting spatial data, optimized spatial analysis operation function.
操作数据库是为已知的任务和负载设计的，如使用主关键字索引和散列，检索特定的记录，和优化“罐装的”查询。
An operational database is designed and tuned from known tasks and workloads, such as indexing and hashing using primary keys, searching for particular records, and optimizing "canned" queries.
通过数据库调用函数来实现对异构数据库的操作，该通用数据库接口具有通用、简单、可扩展、可优化等特点。
By communicating with the heterogeneous database by calling a series of database functions, the UDB interface is universal, simple, extensible and can be optimized.
大型关系数据库的优化通常可以通过对网络、硬件、操作系统、数据库参数和应用程序的优化来进行。
We can optimize large-scaled relational database by optimizing network, hardware, operating system, database parameter and application program.
大型关系数据库的优化通常可以通过对网络、硬件、操作系统、数据库参数和应用程序的优化来进行。
We can optimize large-scaled relational database by optimizing network, hardware, operating system, database parameter and application program.
应用推荐