The performance table of two methods is put forward at the end of this article.
最后，给出了两种方案实现结果的性能参数对比表。
The paper introduces the operation and applications of the Automatic Equipment Identification systems based on RF-IDs, and a performance table of the variety AEIs to date is also given.
文论述了电子车辆识别系统的工作原理及其特点，并对目前最先进的几种电子识别系统进行了比较，最后对其应用进行了介绍。
This type of table space allows for best performance, but some administration is required.
这种类型的表空间可以提供最佳性能，但是需要进行一些管理。
Performance is negatively impacted when the table is large or when many sessions issue this type of query.
当表非常大或者大量会话发出这种类型的查询时，性能将会有所下降。
Table 2 summarizes how the performance of this table scan query has benefited from two of our design decisions: atom site separation and compression.
表2总结了此次表扫描的性能如何能从我们的两个设计决策中受益：原子站点分离和压缩。
Table 1 compares the performance based on different architectures and logging Settings.
表1比较不同架构和日志记录设置下的性能。
Because both of these views are defined with a single SQL select statement on the underlying table, the query performance will not suffer.
因为这两个视图都是在下面的表格上使用单独的SQL选择语句进行定义，所以不会影响查询性能。
This means that one or some database partitions are assigned a disproportionate number of table rows which can create a performance bottleneck.
这意味着一个或一些数据库分区承担了更重比例的表行，从而造成了性能瓶颈。
Defining indexes on the remote table on the data store might sometimes improve query performance.
在数据源上的远程表上定义索引有时候可以提高查询性能。
Depending on the size of the table and network traffic, query performance could suffer.
取决于表的大小和网络的传输情况，查询性能可能会很糟糕。
SELECT statements without any period specifications apply only to data in the system-period temporal table, providing a performance benefit for applications requiring only current data.
没有任何周期规范的SELECT语句仅适用于系统周期时态表，为仅需要最新数据的应用程序提供了性能收益。
Profiling is a formal summary or analysis of data, often in the form of a graph or table, representing distinctive performance features or characteristics.
评测是表示不同性能特性和特征的数据的形式化总结或分析，它通常以图形和表的形式的出现。
Therefore, when deciding which join method to choose, the optimizer balances the sort cost and the performance benefit for the inner table scan to drive the decision.
因此，在决定选择哪种联接方法时，优化器为内部表扫描平衡排序成本和性能优势以便促进决策。
We tuned several database manager and DOMINO database configuration parameters for optimal performance as listed in table 2.
我们调优了几个数据库管理器和DOMINO数据库配置参数以实现最优性能，如表2所示。
When enabled, automatic statistics collection helps improve database performance by ensuring that you have up-to-date table statistics.
启动时，动态统计数据集合可通过确保您拥有最新表统计信息来帮助提高数据库性能。
But if you don't want to increase the number of indexes defined on the table, are you at a performance tuning dead end?
但是如果您又不想增加表中定义的索引数，那您的性能调整真到了穷途末路吗？
For example, if you are paging/swapping any relevant performance, then data is off the table.
比如，如果您在调整/调换任何相关的性能，那么数据就没有讨论的意义了。
DPF can maintain consistent query performance as the table grows by providing the capability to add more processing power in the form of additional database partitions.
DPF可以通过增加数据库分区来提高处理能力，因此，随着表的增长，仍然可以保持较高的查询性能。
Table 2 shows a summary of the performance improvements.
表2显示的是性能提升总结。
When dealing with large amounts of data, the initial loading of the data into the table can present some performance challenges.
当处理大量的数据时，一开始将数据装载到表中时可能会遇到性能问题。
The physical order of rows affects performance of almost all queries running against a table.
表的物理行次序将影响该表上几乎所有查询的性能。
Indexes improve query performance by avoiding a full table scan.
索引能够避免全表扫描，从而能够提高查询性能。
A perspective is simply a chart or table of the performance data that you is displayed.
透视图只是向您显示的性能数据的图或表。
For instance: does a large number of extents for a table space really have a measurable negative performance impact?
例如：大范围的表空间是否具有可衡量的负面的性能影响？
Table 1 provides a list of three performance counters and the performance objects under which they are categorized.
表1提供了一列三个性能计数器，以及它们所属的性能对象。
Prefetching is used when the Database Manager determines that sequential I/O is appropriate and that prefetching can help to improve performance (typically large table scans).
当数据库管理器确定顺序I/O是适当的，并且确定预取操作可能有助于提高性能时，会使用预取操作（通常是大型表扫描）。
When hash tables are built, join keys are pushed down and used to filter the rows of the fact table, and performance improves dramatically.
构建散列表时，连接键被下推用于过滤事实表的行，性能也显著提高。
Performance thresholds are defined as shown in table 2.
性能阈值如表2所示。
Performance thresholds are defined as shown in table 1.
性能阈值如表1所示。
WebSphere Process Server has a feature called Query Table that improves performance for large deployments.
WebSphereProcessServer有一个称为查询表的特性，它可以提高大型部署的性能。
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