EPL是一种强大的语言，可使开发者实现对事件的全程查询(从输入数据中“提取”事件并调用你的业务逻辑(POJO))。
EPL is a powerful language that enables you, the developer, to implement a comprehensive range of queries to "extract" the events from the incoming data and invoke your business logic (POJO).
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.
因此，提取后端数据的逻辑包装在Work对象中。
Therefore, the logic of fetching the back-end data is wrapped in a Work object.
执行逻辑数据库备份，将数据和逻辑定义从数据库提取到一个文件。
Perform logical database backups as they extract data and logical definitions from the database to a file.
此方法包含从表单提取必需的实例数据并将数据保存到数据库的逻辑。
This method contains the logic to pull the necessary instance data from the form, and then have it saved to the database.
这种技术通常需要自己编写自定义的应用程序逻辑从XML文档中提取数据，然后放到关系数据库的表列中。
Often the technology in question is custom application logic that you wrote yourself to extract data from an XML document and put it into a column on a table in a relational database.
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.
模型利用DM技术从工程数据中提取出有价值的知识，并在此基础上进行逻辑推理，以辅助工程决策。
The knowledge can be extracted from existing engineering date and reasoned by using DMDS model in order to provide decision support for engineering decision-makings.
本文通过对业务逻辑的抽象与提取，形成了通用数据库访问控制框架及在此框架下的访问控制要素的聚类模型。
Based on generalized framework for access control, the author has developed an application model on universal database by conceptual and extract business logics.
采用基于专家库逻辑推理的试验数据知识提取方法来发现和挖掘试验数据。
The method of expert database logic inference for test data knowledge extracting is used to discover and explore test data.
采用基于专家库逻辑推理的试验数据知识提取方法来发现和挖掘试验数据。
The method of expert database logic inference for test data knowledge extracting is used to discover and explore test data.
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