我们通常以每秒事务量之类的指标来度量数据库的速度，也许每秒一百万个事务算得上快。
We usually measure database speed in something like transactions per second, and maybe a million transactions per second is fast.
质量控制抽样代理(QC抽样代理)的任务是简单地度量数据库的状态，并将该数据记录在一个数据库表中。
The Quality Control Sampling Agent has the simple task of measuring the status of the database and recording this data in a database table.
这个测试应度量该特性如何处理由大型数据库引起的负载。
This test should measure how the feature handles the load caused by large databases.
然而，如果您开始为您所有项目获取一些关键度量，您可以逐渐使之增长成为一个有价值信息的数据库，根据它您可以应用统计分析。
However, if you begin to capture a few key metrics on all of your projects, you will grow a database of valuable information upon which you can apply statistical analyses.
从事件中收集将用于计算所需业务度量的信息；可选地，可以将信息存储在数据库中以进行历史记录分析。
Gather information from events that will be used to calculate the required business measures; optionally, information can be stored in a database for historical analysis.
度量连接到数据库的时间。
您可以容易地使用一个秒表来度量它装载一个中等大小的文档所需的时间，即使在连接到本地数据库的快速硬件上也要花很长的时间。
You can easily use a stopwatch to measure the time it takes to load a medium-sized document, even on fast hardware connecting to a local database.
接下来，我们在联邦数据库中创建并刷新了MQT，我们再次运行工作负载以度量将路由到 MQT的查询的执行时间。
Next, we created and refreshed the MQTs in the federated database and we ran the workload again to measure the execution times for the queries that are routed to the MQTs.
数据以多种语言形式存储在数据库中，维度名称和度量名称以多种语言表示在DB 2CubeViews元数据中。
Data is stored in databases in multilingual form, dimension names, and measure names are represented in multiple languages in DB2 Cube Views metadata.
本例捕捉了启动前的数据库度量——LBS——Update_Loans活动、及最终您想使用的规格DM_Status。
This example captures the database metric before starting — LBS — the Update_Loans activity, and finally the metric DM_Status you want to use.
最后的测试度量3种数据库操作所需的时间。
The final tests measured elapsed time for three types of mail database operations.
SDK为开发自定义Portlet提供示例和最佳实践文档，以报告monitorDataMart数据库中存储的度量和KPI。
The SDK provides examples and best practices documentation for developing custom portlets to report on metrics and KPIs stored in the Monitor data Mart database.
前面的例子只包含了一个来自底层数据库事实表的一个度量指标。
The previous example only contained a measure that was taken from one fact table in the underlying database.
对这个问题的“最显而易见的”解决方法是将所有东西都放入SQL数据库中——页面、链接、度量标准、HTTP结果代码、计时结果和其他元数据。
The "obvious" approach to the problem was to put everything in a SQL database — pages, links, metrics, HTTP result codes, timing results, and other metadata.
对于这个应用程序，可以使用它测试数据库的速度。在这两种数据库的php脚本上运行数百个请求，然后使用JMeter度量返回数据所用的时间。
For this application, we can use it to test the speeds of the databases by running hundreds of requests on their respective PHP scripts, and measuring how long it takes for the data to come back.
例如，度量指标汇总和计算可以传递到数据库层进行处理，而不是在Transformer中处理。
For example, measure aggregation and calculations can be passed to the database layer for processing rather than having Transformer process them.
介绍了在数据库知识发现(KDD)中将连续属性离散化的一些方法，并提出使用值差分度量离散化的算法。
Some methods for dividing continuous attributes in KDD (knowledge discovery in database) and a method based on VDM (value difference metric) are presented.
其后，基于安全实时数据库应用场景给出了结合短消息指标和信道容量的事务隐蔽信道度量和限制机制。
A mechanism for secure real-time database scenario, which combines SMC with the channel capacity, is presented to measure and mitigate the threat of transaction covert channel.
并运用相似性度量和图像意象的相关度标注技术进行系统数据库的扩充和标注。
Comparability measurement and imagery correlation label techniques were combined to expand and label the system database.
计费管理：度量各个网络端点用户和应用程序对网络资源的使用情况，并以曰志方式记录到账务数据库中。
Accounting Management: measuring the use of resources of all applications for network users and network endpoints, record and log database.
提出了一个适用于多种面向对象程序设计语言的软件度量工具的灵活软件结构，该结构的核心是以数据库为中间件。
A flexible and generic architecture to some kinds of ool designed is presented, and its kernel is based on database. The structure of this tool is firstly presented.
该度量的提出及其性质的研究有利于粗糙关系数据库的知识发现及数据查询的研究，并且进一步扩大了粗糙关系数据库的研究领域。
The introduction of approximate theory of rough functional dependency will accelerate the development of knowledge discovery for rough relational database and extend its research field.
为了发现粗糙关系数据库中潜在的和有趣的模式，提出并研究了粗糙函数依赖的近似度量和精确度量。
The accurate and approximate measures of rough functional dependency are proposed in this paper in order to find potential and interesting patterns for rough relational database.
本文比较分析了度量控制权私有收益的不同方法，构建了控制权发生转移的数据库，计算了中国上市公司的控制权私有收益。
This paper evaluates the private benefits of control with the help of transfer price difference between the controlling block and the non-controlling block of a company within same year.
本文比较分析了度量控制权私有收益的不同方法，构建了控制权发生转移的数据库，计算了中国上市公司的控制权私有收益。
This paper evaluates the private benefits of control with the help of transfer price difference between the controlling block and the non-controlling block of a company within same year.
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