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。
IGES文件的分析及数据提取。
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.
在通过资产组来支持数据提取的示例文件中，你可以使用三个技巧。
You can use three techniques in the sample files supporting the extraction of data by asset group.
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.
接下来的一步是创建一个访问定义，它是用于数据提取的模板以及路线图。
The next step is to create an access definition, which is the template or roadmap for data extraction.
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.
它还封装了前面版本中的数据提取器，在不同类型的版本中都可以使用它们。
It also encapsulates the data extractors of the previous version, and makes them available as different kinds of reports.
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.
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11)。
Specify the XPATH expressions that DataStage should use to extract information from the input XML data (shown in Figure 11).
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).
首先，我们创建一个基础或者对象模型，从分析需求、访问定义，以及数据提取的列映射开始。
First, we cover creating an infrastructure or an object model that starts with a request, access definition, and column maps for data extraction.
此作业只能在DataStage指导者节点上以序列模式运行，并且它适合于小量数据提取。
This job can run only in sequential mode on the DataStage conductor node and it is suited for small data extraction.
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.
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.
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.
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.
数据库实现了多种操作功能：有多途径检索、录入、修改、删除、数据提取、打印、数据备份、帮助。
Many functions have been realized in our database, for example, multi-aspect query, loading, modification, deletion, extraction of data, printing, backup and help.
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.
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