This improves overall database performance.
这将提高数据库的整体性能。
At a certain number of connections, database performance degrades.
当连接数达到某一值后，数据库性能将开始下滑。
Rails will not insulate you from basic database performance issues.
Rails不会让您摆脱基本的数据库性能问题。
Buffer pool contention can be a significant factor in database performance.
缓冲池竞争可以成为数据库性能中的重要因素。
Optimal database performance requires the database optimizer to do its job well.
最优数据库性能还需要数据库优化器很好地发挥作用。
Your overall database performance is limited by the bandwidth of your busiest disks.
总体数据库性能受到最繁忙的磁盘的带宽的限制。
For optimal database performance, it is critical to have tablespaces defined properly.
为获得最佳的数据库性能，正确定义表空间是至关重要的。
The size (number of pages) of each primary log has a direct bearing on database performance.
每个主日志的大小(页数量)对数据库性能有直接影响。
Search online to find a vast number of articles and books dedicated to database performance.
可通过在线搜索查找有关数据库性能的各种文章和书籍）。
Database performance tuning is very important when we have a larger database and more users.
当数据库更大、用户更多时，数据库性能调优非常重要。
Using a single connection to a database makes optimal database performance difficult to obtain.
如果只使用一个数据库连接，则很难获得最优的数据库性能。
This makes DB2 queries use table scans instead of index scans and degrades database performance.
这使得DB 2查询使用表扫描代替索引扫描，并降低了数据库的性能。
Besides the buffer pool, sort is another significant factor that impacts the database performance.
除了缓冲池，排序是影响数据库性能的另一重要因素。
DB2 provides various utilities, such as RUNSTATS, REORG and REORGCHK, to improve database performance.
DB 2提供了各种实用程序来提高数据库性能，如RUNSTATS、REORG和REORGCHK。
To ensure optimal database performance, it is necessary to ensure that the database is fully optimized.
为了确保最优的数据库性能，需要确保数据库得到了全部的优化。
Compared to other memory buffers, buffer pools have the most significant impact on database performance.
与其他内存缓冲区相比，缓冲池对数据库性能的影响最为显著。
It minimizes the amount of database connections, thus improving overall database performance and throughput.
减少数据库连接的数量，提高了数据库的整体性能和吞吐量。
Maximizing concurrency is critical for good database performance. Some detailed recommendations are provided.
对于好的数据库性能来说，最大化并发性非常重要。
In the case of this application, traces of the network and traces of database performance will also be worthwhile.
对于这个应用程序而言，对网络和数据库性能进行跟踪也很有必要。
We've only begun to study the impact of such caching on our database performance, but early results are promising.
虽然我们的研究还仅限于缓存对数据库性能所造成的影响，但早期的结果还是很有希望的。
This article is intended to be a good starting point for addressing database performance at any given installation.
本文的目的是成为一个良好的起点，用以处理任何给定安装环境下的数据库性能问题。
Probably the biggest issues with database performance come as a result of poor database design and missing indexes.
数据库性能的最大问题可能源自于不良数据库设计和缺失索引。
This helps Design Advisor to better estimate how much database performance would be improved by creating new indexes.
这能够帮助Design Advisor更好地估计创建新的索引能够对数据库性能有多大的改进。
The improvements help minimize costly I/O and can deliver both faster database performance and faster system performance.
这些改进有助于最大限度地降低I/O成本，并且可以提供更快的数据库性能和更快的系统性能。
The MINCOMMIT parameter can have both positive and negative impact on database performance, and needs to be set correctly.
MINCOMMIT参数可以对数据库性能带来正面和负面的影响，所以需要正确设置。
By taking advantage of these features, you can manage data more effectively, while delivering optimum database performance.
通过利用这些特性，可以改善数据管理效果，同时提供最优数据库性能。
The formatting of new logs is transparent to applications connected to the database and does not impact database performance.
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。
Once performed, you can simply go to a relational database performance benchmark site and find systems in the ballpark range.
得到结果之后，只需访问一个关系数据库性能基准站点，查找能够满足需要的系统。
Poor database performance, as the database performed hundreds of updates to the (very) large session objects in database tables.
糟糕的数据库性能，因为数据库对数据库表中的该(超)大会话对象执行了数百次更新。
Database performance plummets once index tables don't fit in memory anymore, so scale up memory as far as possible to hold tables.
一旦索引表再也无法装入内存，数据库的性能就会直线下降，所以应该尽量升级内存，以便存放那些表。
应用推荐