工具会为测试下的程序生成声明复盖率统计数据(这就是说，执行程序中行的数量与百分比)。
The tooling generates statement coverage statistics for the application under test (that is, the number or percentage of lines in your application that have been executed).
当然，构建管理工具需要能够聚集并组织从任何您拥有的开发工具那里来的审计数据，即使这些工具是来自不同的厂商。
Of course, the build management tool needs to be able to aggregate and organize audit data from whatever development tools you have, even if they come from different vendors.
这个工具的优点是以图形化的方式显示计数器，很容易看到计数器随时间的变化情况。
The advantage of this tool is that it displays the counters graphically, so you can easily see how they change over time.
在这一步中，需要使用上面讨论的工具来获取该查询的统计数据：其响应时间、详细的执行计划和成本，以便稍后进行深入分析。
At this step, you need to use the tools discussed above to get statistics on the query: its response time, its detailed execution plan, and costs for later in-depth analysis.
此工具帮助管理程序设计数据库中的数据。
This tool helps manage data within the program design database.
当您运行这个脚本时，工具立即开始收集统计数据。
When you run this script, the tool immediately starts collecting statistics.
提供命令行工具，从原始的日志文件中生成汇总的统计数据和性能图表。
A command line tool for generating aggregated statistics and performance graphs from raw log files.
来自于“历史调查”的统计数据真的不是很有效的工具，因为对其的筛选过程扮演了非常重要的角色。
Statistics that come from "historical surveys" are really not very effective tools because the filter of interpretation plays too large a role.
PTT工具收集在用户指定时间间隔内运行的所有进程的统计数据。
The PTT tool collects statistics on all processes that run during a user-specified interval.
除了CPU统计数据之外，这个工具还可以提供关于内存分配以及LPAR配置和状态变化历史的数据。
Aside from CPU statistics, the tool can also provide data relating to memory allocation and LPAR configuration and state change history.
统计数据由多种不同的工具生成，而存放在唯一的数据存储中。
Statistics are generated by multiple disparate tools, which in turn have unique data stores.
基于每台服务器中的性能数据，使用PMI的监控工具有助于进行工作负载管理、容量规划并通过检测相关PM i计数器的值来生成警告。
Based on the performance data in each server, a monitoring tool using PMI can help with workload management, capacity planning, and generating alerts by checking the values of related PMI counters.
此实用工具(在AIX 5.3中发布)不仅提供总体性能统计数据，还允许对实际运行的处理器进行操作。
This utility (released in AIX 5.3) not only provides overall performance statistics, but it also allows you to take action on the actual running processors.
同时，工具不会收集某个键的统计数据，例如多列和分布统计数据。
At the same time, the utility does not collect certain key statistics, such as multi-column and distributed statistics.
工具立刻开始显示选择的所有计数器的值。
The tool immediately begins to display the values of all the counters you've chosen.
最后，disp栏指明了在PTT工具收集统计数据的时间间隔内进程被调度的次数。
Finally, the disp column indicates the number of times the process was dispatched during the interval that the PTT tool collected statistics.
打开caesar1_cpi . p mf之后，会在Details页面中看到许多事件和事件计数值，在工具提示中还可以看到说明。
After opening caesar1_cpi.pmf, you will see many events, event count values, and their descriptions in the tool tip in the Details page.
要检查sQL服务器是否过载，可以在SQL服务器上使用perfmon(管理工具)来检查以下平均性能计数器。
To test if SQL server is overloaded, use perfmon (administrative tools) on the SQL server to check the following average performance counters.
在模拟测试期间，我们通过以下工具收集统计数据信息。
During the simulation tests, we gathered statistical information with the following tools.
sar工具用于收集一段时间内的网络利用率统计数据，并将所有利用率数据的快照记录到一个文件。
The sar tool is useful for gathering network utilization statistics and recording snapshots of all utilization data to a file over a period of time.
这个脚本调用命令行工具ptt和pttstat来收集所需要的统计数据。
This script calls the command-line tools PTT and pttstat to collect the necessary statistics.
请在PerfMon窗口上方的工具栏中单击+按钮，这样会打开一个对话框让您选择要监控的计数器，如图3a所示。
To get going, click on the + button on the toolbar at the top of the PerfMon screen. This brings up a dialog that lets you choose the counters you want to monitor, as in Figure 3a.
这个工具非常灵活，它能够记录超过 200条 Domino和AIX级别的统计数据。
This extremely flexible tool has the ability to record over 200 Domino and AIX level statistics.
显然，在产品中运行性能工具需要很高的代价；但VMware并未向InfoQ透露具体的统计数据，只是说性能损耗可以忽略不计。
There is obviously an overhead for running a monitoring tool in production; VMware wasn't yet able to provide InfoQ with statistics but suggested that the performance cost would be negligible.
使用AIXPCM时，性能和错误统计数据通过AIX附带的标准性能监控工具(比如，iostat和fcstat)收集。
Performance and error statistics when using the AIXPCM are gathered via standard performance monitoring tools which ship with AIX, such as iostat and fcstat.
听到iostat 并不是我们推荐的帮助长期收集统计数据的工具，您可能会感到奇怪。
You might be surprised to hear that iostat is not one of the tools recommended to help you with long-term gathering of statistical data.
Informix提供的用来收集详细SQL查询计划和执行统计数据的最全面的工具是SETEXPLAIN实用程序。
The most comprehensive tool that Informix provides for collecting detailed SQL query plans and execution statistics is the SET EXPLAIN utility.
准确而全面的统计数据能帮助生成良好的访问路径建议，当然，索引advisor工具执行时要有准确的统计数据。
Accurate and complete statistics will help drive good access path advice, and of course the index advisor should not be executed without good statistics.
运行统计数据advisor 工具，并采取行动更新统计数据。
Run the statistics advisor and take actions to make statistics current.
运行统计数据advisor 工具，并采取行动更新统计数据。
Run the statistics advisor and take actions to make statistics current.
应用推荐