• Most relational databases publish performance data through an SQL interface.

    大多数关系数据库通过SQL接口发布性能数据。

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  • Eventually, Bradley's team collected performance data for thousands of weightings.

    最终,布拉德利的团队收集了大量权重组合的业绩数据。

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  • Summary tables are an important part of creating a high-performance data warehouse.

    汇总表是创建高性能数据仓库的重要部分。

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  • This section briefly reviews the main features of PDI when displaying performance data.

    本节简要讨论PDI显示性能数据方面的主要特性。

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  • The initial published performance data shows a configuration that supports 200 concurrent users.

    最初发布的性能数据显示一个支持200位并发用户的配置。

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  • All APM systems access performance data sources and include facilities for collecting and tracing.

    所有APM系统都能访问性能数据源并提供数据收集和跟踪实用工具。

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  • RRDtool is an open source, high performance data logging and graphing system for time series data.

    RRDtool是一个开放源码的高性能数据日志记录和绘图系统,用于处理时间系列数据。

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  • The idea is that the main page displays performance data that is most relevant to the business user.

    其构想就是让主页显示与业务用户紧密相关的性能数据。

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  • You can use these customized charts and tables to view performance data from other collections as well.

    您还可以使用这些定制的图和表查看来自其他集合的性能数据。

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  • Once you've captured performance data, you have a wide variety of options for how to make it available.

    一旦捕捉到了性能数据,让它可以使用的方式就很多了。

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  • This panel shows the exact SQL statement PDI will use to retrieve data from the performance data selected.

    该面板显示PDI从选定性能数据中检索数据所用的具体的sql语句。

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  • A query is a collection of counters, created in your custom code, to manage the collection of performance data.

    查询是计数器的集合,它是用自定义代码创建的,用于管理性能数据的集合。

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  • To view performance data for the current database server, expand the list and select a type of performance data.

    要想查看当前数据库服务器的性能数据,应该展开列表并选择性能数据类型。

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  • Queries are used within PDH function calls to update the counters it manages, thereby obtaining performance data.

    查询用在PDH函数调用中更新它管理的计数器,因而获取性能数据。

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  • I use this term to describe performance data that is not of primary importance but adds context to the primary data.

    我使用该术语描述的性能数据并不是很重要,但它为主要数据添加上下文。

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  • In contrast, inferential sources measure a deliberate or incidental action, and performance data is derived from it.

    相反,推断源测定有意和偶然操作,并且产生性能数据。

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  • Now that a query has been set up and the counters have been added, it is possible to begin gathering performance data.

    既然设置了查询和添加了容器,现在就可以开始收集性能数据了。

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  • The ability to collect this performance data is provided with the operating system. The Performance data collectors are

    收集这些性能数据的能力由操作系统提供。

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  • Note that the performance data described above is for a specific operating environment and for a given set of test data.

    注意,上述性能数据仅针对一个特定的操作环境和一个给定的测试数据集。

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  • It collects performance data during the system initialization process, and then post-processes the data into a time line.

    它可以搜集系统初始化过程中的性能数据,然后在一条时间线上对其进行二次处理。

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  • Both of these PDSs are examples are what I refer to as direct sources; the source supplies the performance data directly.

    这两种PDS都是直接源的例子,即可以直接提供性能数据。

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  • As the workloads were run, performance data was collected, and eventually, the results of the collected data were compared.

    当这两个工作负载运行后,我们会收集到性能数据,以及这些数据的最终比较结果。

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  • The ability to view performance data at the user level allows the workload of each client user ID to be viewed independently.

    在用户层查看性能数据的功能可以分别查看每个客户端用户ID的工作负载。

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  • You would prefer not to (or can't wait to) move performance data to a data warehouse and run queries and analytics against it.

    您肯定不希望(或无法等待)将性能数据移动到数据仓库,然后再对它运行查询和分析。

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  • Using this feature, you can gather statistics and performance data for multiple servers and display them graphically to users.

    使用这一特性,您可以对多台服务器收集统计数据和性能数据,并以图形化方式将它们显示给用户。

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  • This article and the examples provided are intended for developers and testers who require access to detailed performance data.

    本文以及文中的示例是为需要访问详细的性能数据的开发人员和测试人员准备的。

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  • The performance data Investigator is a browser-based graphical user interface for viewing and analyzing IBM I performance data.

    Performance DataInvestigator是一个基于浏览器的图形用户界面,用于查看和分析IBMi性能数据。

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  • You can save the performance data set for each execution and compare performance results between executions of your application.

    您可以保存您的应用程序的每次执行的性能数据集,并比较各次执行的性能结果。

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  • Disk Watcher is a performance data collector that is intended to be run to collect detailed performance data for disk operations.

    DiskWatcher性能数据收集器旨在收集磁盘操作的详细性能数据。

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  • For example, you can collect performance data over a series of test cycle runs, keep the data for each run, and compare them later.

    例如,可以在一系列测试周期内收集性能数据,保存每一周期的数据,并在以后对这些数据进行比较。

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