• Struts data flow: component details.

    Struts数据流:组件详细内容。

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  • The sample data flow needs two XML Relational Mapping operators.

    示例数据流需要两个XMLRelationalMapping操作符。

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  • Data flow analysis can examine problems that span multiple classes.

    数据流分析可以检查跨越多个类的问题。

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  • Edit this new data flow, deleting all operators except the following.

    编辑这个数据流,删除除以下操作符之外的所有操作符。

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  • The streaming utility within Hadoop implements a type of data flow glue.

    Hadoop内的流实用工具实现了一种数据流胶的类型。

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  • The UIMA framework manages the components and the data flow between them.

    UIMA框架管理组件和在它们之间流动的数据。

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  • Data flow has been improved, resulting in fewer generated WS-BPEL variables.

    数据流经过了改进,从而导致生成的WS - BPEL变量更少。

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  • One way this occurs is by confusing data flow diagrams with use case diagrams.

    发生的方式之一是将数据流图和用例图混淆在一起。

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  • Customize service results and optimize the data flow between client and server.

    自定义服务结果并对客户端和服务器之间的数据流进行优化。

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  • 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。

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  • Listing 4 contains a partial summary of the generated code for this sample data flow.

    清单4包含为本示例数据流生成的代码的总结的一部分。

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  • The tag libraries support bidirectional data flow between Lotus Domino and WebSphere.

    标签库支持LotusDomino和WebSphere之间的双向数据流动。

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  • 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。

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  • To reduce clutter in complex data flow models, show disconnected data inputs and outputs.

    为了减少复杂的数据流模型中出现的混乱,请显示未连接的数据输入和输出。

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  • Data flow analysis examines compiled code to identify potential memory and resource problems.

    数据流分析检查了汇编的代码,以识别潜在的内存和资源问题。

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  • A start node can only issue control flow, while stop and end nodes can also receive data flow.

    开始节点只能发出控制流,而停止和结束节点还可以接收数据流。

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  • SDO components provide a common abstraction for data flow between components regardless of scope.

    SDO组件提供了组件间数据流的公共抽象,而与范围无关。

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  • The details regarding the data flow can be found in the attributes section of the TBSCAN descriptor.

    有关数据流的细节可在TBSCAN描述符的属性部分中找到。

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  • In this article, you'll explore how to define a single data flow to accomplish all the necessary work.

    在本文中,您将探索如何定义一个数据流来完成所有必需的工作。

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  • While often overlooked, data flow consumes a larger share of bandwidth in data-intensive applications.

    尽管这个问题总是被忽视,但在数据密集型应用程序中,数据流确实会消耗大量带宽。

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  • After you have gained an understanding of the data flow and established standards, you now have a plan.

    在了解数据流和已建立的标准之后,您现在已经有了计划。

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  • 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。

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  • Understanding the implications of transparent data flow is key to the security of XML-based applications.

    理解透明数据流的牵涉对于基于XML的应用程序的安全性来说至关重要。

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  • Data flow contains important semantic differences that we will discuss in detail in Part 2 of this series.

    数据流包含重要的语义差别,我们将在本系列的第2部分中对此进行详细讨论。

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  • The only solution in this case is to avoid detaching AXIOM completely from the data flow during serialization.

    这种情况下,惟一的办法是避免序列化过程中AXIOM完全和数据流脱离开。

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  • By creating diagrams and descriptions of the data flow, you can see the business flow's weaknesses and strengths.

    通过创建数据流关系图和描述,您可以看到业务流的优缺点。

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  • 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。

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  • This includes analyzing the data flow through each process, capturing reusable data aggregates across all processes.

    这包括分析通过每个过程的数据流,获取跨所有过程的可复用的数据集合。

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  • Therefore, capturing the data flow of a process is usually an important phase in a business process modeling project.

    因此,捕获流程中的数据流,通常是业务流程建模项目中的一个重要阶段。

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  • The stop node is particularly important when simulating data flow models, because it is required to release the data.

    在模拟数据流模型时,停止节点显得尤为重要,因为需要用它来释放数据。

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