脚本中保存了很多运行时数据。
指定运行时数据库连接信息。
每个组件都使用数据库存储运行时数据。
Each of these components USES databases to store runtime data.
改进的运行时数据库支持。
复合了元数据和运行时数据的xml片段。
A snippet of XML showing the combination of metadata and runtime data.
使用数据库脚本迁移数据库模式和运行时数据。
The database schema and runtime data are migrated using database scripts.
这演示了BPC数据库模式或运行时数据迁移。
This illustrates the BPC database schema or runtime data migration.
这演示了BPC数据库模式或运行时数据迁移。
This illustrates the BPC database schema and runtime data migration.
此方法由公共语言运行时数据访问服务调用。
This method is called by the common language runtime data access services.
虚拟机定义了各种运行时数据区以备程序运行时利用。
The Java virtual machine defines various runtime data areas that are used during execution of a program.
在运行应用程序期间，您可以收集和研究以下运行时数据。
During the execution of an application, you can collect and study the following runtime data.
注意：此对象上执行的所有方法都只适用于运行时数据表。
Note: All methods performed on this object apply to the run-time DataTable object only.
但是，一定要明白一点：运行时数据库只保存快照而不是完整的历史。
However, it is important to know that the runtime database only holds a snapshot and not the complete history.
列表7中的代码用于获取数据库表，因为运行时数据将会装入到这个表。
The code snippet in Listing 7 retrieves a database table, because the runtime data will be pushed to that table.
运行时数据包括WebSphere的事务日志和数据库的日志与数据。
The runtime data includes the transaction logs of WebSphere and the logs and data of the database.
这可能在与服务实现和客户代理一起使用时会引发运行时数据序列化错误。
This could cause run-time data serialization errors when used with service implementations and client proxies. Here are some recommendations to help avoid this problem.
默认情况下，流运行时数据存储在应用程序的GlobalContext中。
By default, flow run time data is stored in the application's GlobalContext.
步骤4：转换使用JNDI，而不是JDBC，来将运行时数据装入水晶报表。
Step 4: Switch to using JNDI instead of JDBC to push runtime data to Crystal reports.
应用服务器再将将元数据与业务系统的运行时数据合并，最后生成复合的XML数据。
The web application combines the metadata with runtime data from the business applications and generates a new XML structure that includes both sets of data.
此角色还可能负责从应用程序收集运行时数据，并根据SLA要求对结果进行分析。
This role might also be responsible for collecting the run-time data from the application and analyzing the results against SLA requirements.
总的来说，“状态”是指关于程序当前的执行状况的信息——存储在内存中的运行时数据。
In general, "state" refers to information about the current conditions of program execution-runtime data stored in memory.
XU让管理模型可以访问配置和运行时数据，在应用服务器和规则引擎之间实现J ca契约。
The XU makes configuration and runtime data available to the management model and implements the JCA contracts between the application server and the rule engine.
WebSphereProcessServer使用多个数据库或数据库表存储运行时数据。
WebSphere Process Server relies on multiple databases or databases tables to store its runtime data. These databases are used for persisting information about.
因为流程编排器在WebSphere里运行，所以那里会有指向运行时数据库(“BPEDB”)的数据源。
Because process choreographer runs inside WebSphere, there is already a data source pointing to the run time database (" BPEDB ").
这个系列文章的第四篇将会讲述如何使用JRC的额外特性，例如，从运行时数据和使用JRC的XML数据导入。
Part 4 of this series describes the use of additional JRC features, such as reporting from runtime data and XML data with JRC.
com托管NSFV4挂载点，多实例队列管理器和多实例代理使用这些挂载点来存储它们的运行时数据。
wmbmi4.in.ibm.com hosts the NSF V4 mount points, which are used by the multi-instance queue manager and multi-instance broker to store their runtime data.
这包括运行时服务器本身，以及用来存储WebSphereProcessServer运行时数据的数据库。
This includes the runtime servers themselves as well as the corresponding databases used to store the runtime data for WebSphere Process server.
在完成本教程之后，可以继续学习本系列的第六部分，第六部分概述了业务度量模型，使用该模型可以监视、分析和报告实际的运行时数据。
After you complete this tutorial, continue with the sixth tutorial covering the business measures model, which allows you to monitor, analyze, and report on actual runtime data.
一个核心功能是业务数据(例如，来自业务应用程序或BusinessProcess Choreographer的数据)和消息功能及其他组件产生的运行时数据的持久性。
One core function is the persistence of business data (from business applications or business Process Choreographer for example) and runtime data produced by messaging facilities and other components.
在SOA领域中，治理被划分为设计阶段治理(为Web服务定义策略)和运行时治理(实际上是将这些策略应用到实时数据流中)。
In the world of SOA, it was divided into design-time governance (defining policies to Web services) and runtime governance (actually applying those policies to real-time traffic).
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