Specify the output of this data flow operator by mapping all available columns except the INFO column to corresponding result columns, as shown in Figure 10.
通过将除info列之外的所有可用列映射到相应的结果列，指定这个数据流操作符的输出，如图10所示。
Each arrow in Figure 2 represents data flow consisting of graphic characters represented in different bit patterns.
图2中的每个箭头表示以不同二进制模式体现的不同字符组成的数据流。
This is best described by looking at the data objects used by the mediation flow (see Figure 16).
通过查看中介流使用的数据对象可以很好地了解它(请参见图16)。
If the data or control flow in and out of activities is relevant to understand the cause of the modeling error, we use the notation in the upper half of the figure.
如果活动内外的数据或控制流与理解导致建模错误的原因有关，我们将使用此图上半部分中的符号。
The mediation flow component (Figure 4) performs a mapping of the requestor's data model to that of the provider, and perhaps performs some further logging for diagnostics or auditing purposes.
此中介流组件（图4）执行请求者数据模型与提供者数据模型间的映射，并且还可以针对诊断或审计的目的进行进一步的日志记录。
Figure 3 illustrates the work and data flow for active systems.
图3演示了活动系统的工作和数据流。
The pattern in Figure 25 illustrates the approach of using data flow to represent events.
图25中的模式显示了使用数据流表示事件的方法。
Figure 10 shows the same data flow, but now flowing along alternative branches instead of parallel ones.
图10显示的数据流与之相同，但该数据流是沿着可选分支而不是并行分支流动的。
Figure 4 illustrates the work and data flow for heat maps.
图4演示了热图的工作和数据流。
Figure 23 shows how the data flow looks when breakpoints are set for connection.
图23显示为连接设置断点时数据流的样子。
Your new data flow should appear similar to Figure 1.
新的数据流应该与图1相似。
Your new data flow should appear similar to Figure 2.
新的数据流应该与图2相似。
Click the... button to identify the appropriate data flow, as shown in Figure 9.
单击…按钮以指定适当的数据流，见图9。
Figure 4 shows the flow of data when you communicate between DB2 9 client and server.
图4显示了DB 29客户机与服务器通信期间的数据流。
The complete data flow is shown below in Figure 6.
图6显示了完整的数据流。
The data flow for CSX is the same as described in Figure 1.
CSX的数据流与图1中描述的一样。
Figure 4 describes the data flow used to create an XForms application by transforming the NIEM constraint document directly into the XForms document.
图4描述创建XForms应用程序所用的数据流，这个过程将NIEM约束文档直接转换为X Forms文档。
Following is an outline of the processing flow of the Data Web Service runtime environment shown in Figure 5.
下面概述图5所示的DataWebServices运行时环境的处理流。
It will help to go back to Figure 1 and review the data flow.
这将会帮助返回到图1，并回顾一下数据流。
In addition to supporting data flow design, InfoSphere DataStage also supports visual workflow design, as shown in Figure 5.
除了支持数据流设计，InfoSphereDataStage还支持可视化工作流设计，如图5所示。
This pattern uses a message flow shown below in Figure 19, which receives data over TCP/IP, parses it using a WebSphere TX node, and writes it to a WebSphere MQ queue.
该模式采用图19所示的消息流，通过TCP/IP接收数据，使用WebSphereTX节点进行解析，然后将数据写入到 WebSphereMQ 队列。
In the WebSphere ESB SCA environment, a mediation module receives data for processing in a mediation flow component via an export, or sends data out via an import, as shown in Figure 7.
在WebSphereESBSCA环境中，中介模块通过导出来接收数据以在中介流组件中进行处理，或者通过导入来发送数据，如图7所示。
The flow of data and execution involving those components is depicted in Figure 1.
中描述了包含这些组件的数据流与执行流。
The screen shown in Figure 9 is the WorkplaceXT default launch screen for a process flow. It displays the data fields of the process flow and allows the user to initialize the values before launching.
图9中的屏幕是一个流程流的WorkplaceXT默认启动屏幕，它显示流程流的数据字段，允许用户在启动前初始化值。
Figure 1 shows an example process with dangling control flow (small white arrows) and data flow (small gray arrows) inputs and outputs in a fork and a join.
在图1显示的示例流程中，有一个fork和一个join，其中有悬空控制流(白色小箭头)和数据流(灰色小箭头)输入和输出。
This data flow simply reads the XML data from the source table and uses a single XML Relational Mapping operator to populate the target table directly, as shown in Figure 2.
这个数据流从源表中读取XML 数据，然后使用一个 XMLRelationalMapping操作符直接填充目标表，见图 2。
The passage of time runs vertically downwards in the figure, and the horizontal red lines show data transmission between the MATIP application and the Message Broker message flow.
竖轴代表时间，红色的水平线显示MATIP应用程序和MessageBroker消息流之间的数据传输。
The inputs and outputs can be pure control-flow links as in the models in the previous section, or can be data flow links as shown in Figure 5.
这些输入和输出可以是纯控制流链接(类似于上一部分中的模型)，也可以是类似于图5所示的数据流链接。
Most APM systems typically organize data submitted by tracers into some sort of categorized and hierarchical structure. Figure 2 illustrates the general flow of this data capture.
通常，大多数APM系统将跟踪程序提交的数据组织到某种分类的层次结构中。
From the event-flow diagram in Figure 1, you see that the data Capture environment is intended to run in a distributed model near the event data sources.
从图1中的事件流关系图中，可以发现DataCapture环境将在事件数据源附近的分布式模型中运行。
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