• Configuration 3 performance data.

    配置3的性能数据。

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  • Each performance data collector has a content package.

    每个性能数据收集器都拥有一个内容包。

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  • A previous section explored the concepts of polling for performance data.

    上一节讨论了轮询性能数据的概念。

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  • 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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  • Performance Expert also offers multiple historical views of performance data.

    PerformanceExpert还提供了性能数据的多个历史视图。

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  • You need to run your own tests to obtain performance data for your configuration.

    您需要亲自运行测试,为自己的配置获取性能数据。

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  • IBM I has four different kinds of performance data that you can analyze with PDI.

    IBMi有4种性能数据可以使用PDI进行分析。

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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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  • The Performance Data Investigator is a powerful tool for analyzing performance data.

    Performance DataInvestigator是一款强大的性能数据分析工具。

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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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  • You can play your game in the Editor with Profiling on, and it will record performance data.

    在编辑器中,你可以将你的游戏在分析器运行着的状态下运行,它会记录性能数据。

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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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  • sar is probably the most common method of gathering performance data, so let's use that as just one example.

    sar可能是最常用的收集性能数据的方法,所以我们以它作为示例。

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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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  • The following are the performance Tools options required to use PDI with various kinds of IBM I performance data.

    下面列出了使用PDI和各种IBMi性能数据所需的PerformanceTools选项。

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  • The Information Aggregation business pattern provides a read-only access to the business process performance data.

    信息聚合业务模式提供了对业务流程中的数据进行只读的访问。

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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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  • The Job Watcher performance data collector was shipped with the IBM i operating system starting with the 6.1 release.

    从 V6.1版本开始,IBMi操作系统就随带了Job Watcher性能数据收集器。

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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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  • 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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