有两种机制用来分析响应时间分解数据（参见图13）。
There are two mechanisms that can be used to analyze response time breakdown data (Figure 13).
从而完全、统一地解决了分解数为2之平衡模型的测试问题。
Thus the testing problem of all the equilibrium models with resolution number 2 is resolved uniformly.
使用简明的简写方式，regex说明了数据的格式并分解数据。
Using a concise shorthand, regexes describe the form of data and decompose it.
结果无论在长期还是短期，以及在部门分解数据基础上都是稳健的。
These results are robust in both the long-run and the short-run models, so are in the sub-section data.
由于不再需要为了进行查询而分解数据，一些表的数据库模式已经简化了。
The database schema for some of the tables has been simplified as you no longer need to shred out data for querying purposes.
您可以在开发环境中对运行的分布式J2EE应用程序进行性能分析(通过收集响应时间分解数据)。
You can profile (collect response time breakdown data from) a running distributed J2EE application in a development environment.
为了捕获响应时间分解数据，您必须在一个测试或者调度中启动它，然后配置将要捕获的数据的信息。
To capture response time breakdown data, you must enable it in a test or schedule, and configure the amount of data to be captured.
在您收集了响应时间分解数据后，就可以使用性能分析工具对数据进行分析，以便确定哪部分代码导致了问题。
After you have collected response time breakdown data, you can analyze the results in the profiling tools to identify exactly what part of the code is causing the problem.
数据收集框架(当您安装RationalPerformance Tester工具时您应该会看到)收集响应时间分解数据。
The data collection infrastructure (something you'll see as you install the Rational Performance Tester tools) collects response time breakdown data.
注意：这里不描述对包含分解数据的表(意味着只包含关系数据的表)进行迁移的步骤，因为与DB 2version 8 .x相比这没有改变。
Note: the step to migrate data for the tables containing the shredded data (meaning relational data only tables) is not described here since it has not changed from DB2 version 8.x.
您可以在Test视图中查看响应时间分解数据，或者如果执行了性能测试或性能调度的话，您可以在Profilingand Logging视图中查看。
You can view response time breakdown data in the test perspective or in the Profiling and Logging perspective if a performance test or performance schedule is executed with response time breakdown.
您可以在Test视图中查看响应时间分解数据，或者如果执行了性能测试或性能调度的话，您可以在Profilingand Logging视图中查看。
You can view response time breakdown data in the test perspective or in the Profiling and Logging perspective if a performance test or performance schedule is executed with response time breakdown.
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