那么,您已经做出的关于数据库的决定,对于选择哪个云计算平台有很大的影响。
The choices you've already made with regard to databases, then, have a big impact on which cloud computing platform you choose.
对于DB 2数据库服务器,增加资源的数量只会影响到硬盘的使用情况。
For the DB2 database server, increasing the number of resources affects only the disk usage.
如果后端数据库失败,或者您的网络连接失败或较慢,您的应用程序可以继续运行,这种失败对于应用程序是透明的,不会产生任何影响。
If the back-end database fails, or if your network connection to it fails or slows, your application keeps running, and this failure is transparent to and does not affect your application.
格式化新日志对于连接到数据库的应用程序是透明的,而且也不会影响数据库性能。
The formatting of new logs is transparent to applications connected to the database and does not impact database performance.
对于能够接受一个相对短时间的数据库实例不可用的客户,按计划的关闭时间而只有最小可能的影响的方案也许能够被接受。
For customers who can afford a relatively short term of database instance unavailability, scheduling downtimes at the time of week with the possible lowest impact could be an acceptable compromise.
如果RAM 比较小,那么对于可以并发运行的数据库数目就有很大的影响。
This has significant impact on the number of databases you can run concurrently if the size of RAM is small.
通过添加附加层,最大限度地降低任何数据库更改所产生的影响——对于微小更改,此演示应用程序中惟一需要更新的类是ProductDAO。
By adding the extra layer, you minimize the impact of any database changes — for minor changes, the only class that needs to be updated in this demo is ProductDAO.
数据库的选择对于应用程序的许多设计都非常重要,对SaaS环境的特殊需求也会影响数据库的选择。
The choice of database can be important for a number of application design reasons and it can also be affected because of the particular demands of the SaaS environment.
他们都是被设计用于帮助发现那些对于数据库性能有着负面影响的那些问题。
Both are designed to help pinpoint problem areas that are adversely affecting a database system's performance.
FD理论对于关系数据库的设计和应用产生了深刻的影响。
The functional dependency theory has a great influence over the design and application of relational database.
FD理论对于关系数据库的设计和应用产生了深刻的影响。
The functional dependency theory has a great influence over the design and application of relational database.
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