Figure 8: Output from the VisualVM profiler.
图8：VisualVM剖析器的输出。
As a profiler utility, JConsole is nice, but other tools are nicer.
作为一个分析器实用工具，JConsole是极好的，但是还有更好的工具。
Rather than being a real-time profiler, it takes snapshots for later use.
虽然不是一款实时分析器，但是它会拍摄快照以备稍后使用。
Any memory profiler can produce snapshots of the heap broken down by object class.
所有内存分析器都可以生成按照对象类进行分解的堆快照。
Figure 1 shows a screen shot of a sample report generated by the Firebug profiler.
图1显示的是Firebug分析器生成的报告样例屏幕截图。
Click on the + button to create a new profiler rule in the rule editor (Figure 31).
单击+按钮在规则编辑器中创建新的profiler规则(图31)。
An especially useful feature of this profiler is its integration with database frameworks.
该Profiler的一个特别有用的功能是它与数据库框架的集成。
Some of the directives configure the debug tools; others tailor the operation of the profiler.
一些指令用于配置调试工具；其他指令用于调整分析器的操作。
The Clear button clears and sets up the environment for running a new session of the profiler.
Clear按钮清除并设置环境，以便运行概要分析器的新会话。
Then move the procedures you want the profiler to report on into the "Selected procedures" box.
然后，将需要概要分析器(profiler)进行报告的过程移至“Selected procedures”框中。
Most other situations are better left ignored until proven by a profiler to be a bottleneck.
大多数的其他情况最好留到被证明是瓶颈时才处理。
He explained the profiler tool features and how to use it to diagnose runtime performance hotspots.
他介绍了profiler工具以及如何使用它诊断运行时的性能热区。
Everyone has debugged code with a runtime debugger or found performance hotspots with a code profiler.
每个人都用运行时调试器调试过代码，或者用代码分析工具找过执行热点。
If time isn't the issue, but rather memory usage, a good profiler can also reveal component footprints.
如果不是时间而是内存使用出现了问题，那么一个优秀的分析器还可以显示组件的内存占用情况。
In this rule, you will associate the profiler rule with the actions that you created in the previous steps.
在这条规则中，您将把profiler规则和您在前面步骤中创建的操作关联在一起。
The profiler also yields more accurate results if you can repeat the activity you are testing several times.
如果重复执行相同的操作，这个工具会产生更准确的结果。
At the client machine where you run the profiler applet or the profiler application, perform the following steps.
在运行概要分析器applet或概要分析器应用程序的客户端机器上，执行下列步骤。
Bootchartd is essentially a profiler that samples the environment at a periodic interval (by default, once every 200 ms).
Bootchartd本质上是一个分析器，它每隔一段时间定期对环境进行采样(默认间隔是200ms)。
A new profile which replaces the old logging profiler, heap-shot profiler, heap-buddy profiler and statistical profiler
新的Profiler，以代替旧的logging profiler、heap-shot profiler、heap-buddy profiler和statistical profiler
The Tprof tool is a timer profiler that identifies what code is running on the CPU during a user-specified time interval.
Tprof工具是一个计时器剖析器，可以识别出在用户指定的一个时间间隔内哪些代码在CPU上运行。
And they only appear when the database administrator runs a query profiler on your system when it has performance problems.
并且它们只有在数据库管理员在系统具有性能问题时在系统上运行查询剖析器时才会出现。
This would be a bad design for a profiler, where you would want to track data about many operations (and methods) per request.
对于profiler来说，这可能是个糟糕的设计，因为在profiler中可能想要跟踪每个请求中的许多操作(和方法)的数据。
For instance, the profiler agent can turn a specific event notification on or off, based on the needs of the profiler front end.
例如，性能分析代理可以根据性能分析的需要打开或关闭特定事件的通知。
A code profiler helps identify and optimize code hot spots, and really helps in understanding object usage and potential memory leaks.
代码评测器帮助鉴别和优化代码，并且在理解对象使用和潜在内存泄露方面真的很有帮助。
You already know that you need a debugger or profiler to analyze running code, but you can learn a lot from code without ever running a program.
您已经知道了需要调试器或分析工具来分析运行的代码，但您还可以在不运行程序的情况下，从代码中了解很多。
A far more accurate measure — one that can even gauge the time taken to run a single-source code statement — can be taken using a code profiler.
一种更精确的测量——甚至可以测量运行单个源代码语句的时间——可以采用代码分析器。
There are numerous tools you can use, such as Firebug’s profiler (Firefox), the YUI Profiler (all browsers), and Internet Explorer 8’s Profiler.
在这方面有很多工具可以加以利用，比如Firebug’sprofiler（只支持Firefox）、YUI Profiler （支持全部浏览器）或者InternetExplorer8’s Profiler。
The easiest way to discover JConsole's overhead is to first run an application by itself, then run it under the profiler, and measure the difference.
发现JConsole开销最简单的办法是，首先独自运行一个应用程序，然后在分析器下运行，并测量差异。
The easiest way to discover JConsole's overhead is to first run an application by itself, then run it under the profiler, and measure the difference.
发现JConsole开销最简单的办法是，首先独自运行一个应用程序，然后在分析器下运行，并测量差异。
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