Data remains in the performance database forever unless you delete it manually.
只要不手动删除这些数据，它们就会永远保留在性能数据库中。
To disable Performance Expert Server from collecting data, connect to the performance database and issue one of the following commands
要想禁止PerformanceExpert服务器收集数据，应该连接性能数据库，然后执行以下命令之一
Asphalt pavement performance database and rich text maintenance strategy information database are employed by reasoning mechanism.
基于关系数据库建立了沥青路面使用性能数据库，采用图文格式建立了养护维修知识库；
If you use the long-term history, start a DB2 statement event monitor to collect SQL event monitor data and to store the collected data in the performance database of the performance Expert server.
如果使用长期历史，可以启动db2语句事件监视器来收集SQL事件监视器数据，并把收集的数据存储到PerformanceExpert服务器的性能数据库中。
Performance of database calls, when compared to in-memory operations, is very slow.
与内存中的操作相比较，数据库调用的性能是非常低的。
This improves the performance of the database server.
它改进了数据库服务器的性能。
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。
Another configuration parameter that dramatically affects performance is the database buffer pool size.
另一个极大影响性能的配置参数是数据库缓冲池大小。
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。
Your database administrator should also review the performance of all aspects of the database.
您的数据库管理员也应该分析数据库的各方面的性能。
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。
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。
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。
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。
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。
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。
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。
To ensure optimal performance of the database engines.
确保数据库引擎的最优性能。
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）。
Choosing appropriate partitioning keys is essential for optimizing database performance in a partitioned environment based on DB2 software.
选择适当的分区键对于优化基于DB 2软件的分区环境中的数据库性能非常关键。
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。
When database performance is an important focus in the development process, your database design will result in a greater probability of delivering optimum performance for your DB2 applications.
当数据库性能成为开发过程中的焦点时，您的数据库设计使得为DB 2应用程序提供最佳性能有了更大的可能性。
Another important factor that affects SQL statement performance is database statistics.
影响sql语句性能的另一个重要因素是数据库统计。
The performance of database persistence is also better than memory to memory replication, when not taking the extra hardware that the database is running on into account.
在不考虑数据库运行所需的额外硬件的情况下，数据库持久性的性能也好于内存到内存复制。
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。
Finally, you'll see how you can profile your queries to optimize the performance of your database.
最后，您将了解如何对查询进行分析以优化数据库的性能。
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。
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。
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