它不会对此数据提取操作造成影响。
解析xml数据提取需要的部分。
如图18所示，为数据提取操作指定以下参数。
As shown in Figure 18, specify the following parameters for the data extraction operation.
但是，两个程序都使用相同系列的数据提取工具。
Both applications, however, use the same set of data extraction utilities.
重复使用数据提取加速器以进行基准评估和开发。
Data extraction accelerators can be re-used for baseline assessment and for development.
将数据提取到文件之后，单击Convert选项卡。
After extracting the data into the file, click on the Convert TAB.
如果您熟悉SQL和JDBC，这可能是最简单的数据提取方法。
If you're familiar with SQL and JDBC, this might be the simplest method of retrieving data.
图25所示的示例ETL作业演示了TDEE数据提取和加载特性。
Figure 25 shows a sample ETL job that illustrates the TDEE data extract and load features.
该操作符将从XML数据提取账户id值，并保留完整的XML记录。
This operator will extract the account ID value from the XML data and preserve the full XML record.
它介绍了Teradata连接器的数据加载、数据提取和查找特性。
It introduces the data loading, data extraction, and lookup features of the Teradata connector.
在确保上面描述的所有先决条件都满足以后，遵循以下步骤来实现数据提取
After making sure all the prerequisites described above are in place, follow these steps to implement the data extraction
使用这种方法，您可以为您的视图和支持的应用程序简化一些数据提取要求。
Using this approach, you can simplify some of the data extraction requirements for your views and supporting applications.
然后是数据提取工具，可以从网页上的表格、列表和其他数据结构中提取数据。
Then there are the data extraction tools which allow you to extract data from tables, lists and other data structures on the webpage.
如果数据提取需求变了，那么只需在sap桥的存储库中调整与应用程序相关的相应查询。
If requirements for the data to be retrieved change, only the corresponding application-specific queries need to be adapted within the SAP bridge's repository.
但是大多数时候，需要将业务逻辑应用到数据中，这要求将数据提取为合适的数据类型。
But most of the time, you want to apply business logic to the data, which requires that the data be extracted to an appropriate data type.
然后，向它提供数据，并以适当的方法处理输出，例如将数据提取并保存到文件或数据库中。
Then feed data to it and handle the output in proper ways, like extracting and saving data to files or databases.
指定DataStage用于从输入XML数据提取信息的XPath表达式(见图12)。
Specify the XPath expressions that DataStage should use to extract information from the input XML data (shown in Figure 12).
指定DataStage用于从输入XML数据提取信息的XPATH表达式(见图11)。
Specify the XPATH expressions that DataStage should use to extract information from the input XML data (shown in Figure 11).
对于本文描述的把数据库数据提取到业务逻辑中的所有方式，都可以使用刚才创建的索引。
You will be glad to know that the index you just created can be used in any of the approaches described in this article to fetch data from the database into the business logic.
指定DataStage用于从输入XML数据提取信息的恰当XPATH表达式。
Specify the appropriate XPATH expression that DataStage should use to extract information from the input XML data.
成功地完成数据提取之后，在产生的输出文件中查看数据转移的状态、警告、错误和其他潜在问题。
After the data extraction is completed successfully, go through the result output files for the status of the data movement, warnings, errors and other potential issues.
这篇教程的目的是教一些模型报表的基础知识，它将重点阐述如何将模型数据提取到一个BIRT报表中。
The purpose of the tutorial is to teach the basics of model reporting, and it will focus on how to extract model data into a BIRT report.
在试验阶段的早期，项目团队研究了IDocs、BAPI和ldb接口，发现这些接口都不满足数据提取需求。
In the early phase of the pilot project, the project team investigated the IDocs, BAPIs, and LDBs interfaces and concluded that none of these matched the specific data extraction requirements.
典型的数据集成架构把来自各个源系统的数据提取、转换和装载(etl)到数据仓库、数据集市和多维数据集中。
A typical data integration architecture involves data from various source systems being extracted, transformed, and loaded (ETL) into data warehouses, marts, and cubes.
至此，MTK已经知道源数据库以及需要提取数据的表，现在就可以生成用于DB2的数据提取脚本和数据加载脚本。
Now that the MTK is aware of the source database and the tables which need to have data extracted, you can generate data extraction scripts and data load scripts for DB2.
在Perl6中，正则表达式将会更简单，处理也会更加容易，因为这个版本在匹配分组和数据提取的分组之间作了区分。
In Perl 6, the regular expression would be much simpler and the processing would be easier because this version distinguishes between grouping for matching and grouping for data extraction.
演示如何使用XMLCAST，在将XML数据提取为标准关系数据类型(例如，CHAR或INT)时常常使用这种方法。
Demonstrate the use of XMLCAST, which is heavily used when you extract XML data into variables of standard relational data types (for example, CHAR, int).
我们将定义一些基于层级的web页面，并展示如何使用最少的Struts2OGNL框架代码执行数据提取。
We will define hierarchical-based web pages and how we can perform data extraction using the minimal code of the Struts 2 OGNL framework.
在本系列文章的下一篇文章中，您将了解如何基于本文中提供的数据提取技术来修改ApacheDerby数据库中的数据。
In the next article in this series, you'll learn how to build on the data-extraction techniques presented in this article to modify data in an Apache Derby database.
接下来的段落，描述了怎样为DocExpress数据提取器和报告定义RationalPublishingEngine文件模板。
The following sections show how to define Rational Publishing Engine document templates for the DocExpress data extractors and reports.
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