由新引进的变量ad和BD之间的直线关系，求出了井筒存储系数C值。同时，给出了井筒污染系数S值。
By the linear relationship between newly introduced variable AD and BD, wellbore storage coefficient (c) has been reached, meanwhile, wellbore 's damage coefficient (s) has been given.
所有这些导致产生一种新的观念，即使用RSS存储信息，而以前可能使用关系数据库存储这些信息。
All of this leads to the notion of using RSS to store information that previously might be stored in a relational database.
这种元数据API不仅定义关系数据存储中数据的形式，而且定义与该数据相关联的查询，并建立了不同对象之间的关系。
This metadata API not only defines the shape of the data in the relational data store, but also defines the queries associated with that data and establishes relationships between different objects.
这固然很好(特别是映射到关系数据存储的标准映射部分)，但也有折衷之处。
That is all well and good — especially the part about standard mappings to relational data stores — but there is a tradeoff.
公司在单个表中既存储关系数据也存储XML数据是很常见的情况，我们的示例引用了这两种类型的列。
It's quite typical for firms to store both relational and XML data in a single table, and our examples reference both types of columns.
鉴于企业中的XML数据的不断增长，现在数据库不仅存储关系数据，还开始存储XML数据。
Given the growth of XML in the enterprise, databases have now started to store not only relational, but also XML data.
这些领域数据通常存储在IT基础设施的关系数据库中。
This domain data is usually stored in relational databases in your IT infrastructure.
例如，可以将经过整合的车辆数据存储于关系数据库中。
For example, the consolidated vehicle data might be stored in a relational database.
尽管此章节的标题是关于数据咀嚼，但是我们将大量数据存储在关系数据库中。
Although the chapter title says it's about data crunching, we store our masses of data in relational databases.
为了更好地了解混合型存储，我们来看看XML数据的逻辑视图，体会XML数据如何看起来像是存储在关系数据库表中。
In order to better understand the hybrid storage, look at a view of how the XML data logically appears to be stored inside a relational database.
所有数据都存储在关系数据库中。
存储XML数据的关系数据库通常使用大型二进制对象(BLOB)字段类型存储XML。
Relational databases that store XML data usually use Binary Large Object (BLOB) field types to store XML.
如果关系数据没有存储为xml格式，就必须把它们映射到XML。
Relational data must to be mapped to XML if it is not stored as such.
实体e JB组件的主要目的是远程访问持续数据，这些数据主要存储在关系数据库中。
The main purpose of entity EJB components is to remotely access persisted data, mostly stored in a relational database.
大多数的机构将它们的数据存储在关系数据库中，出于很多原因考虑根据存储过程来设计它们的信息系统。
Most organizations store their data in a relational database and designed their information system to rely on stored procedures for many reasons.
数据访问对象负责对持有数据(存储在关系数据库中)的对象进行操作。
Data access objects are responsible for operating on objects that hold data stored in a relational database.
压缩：因为XML数据和关系数据存储在一起，因此可以使用DB 29中引入的压缩技术对XML数据进行压缩。
Compression: As the XML data is stored along with the relational data, it can be compressed using compression technology introduced in DB2 9.
将这些应用程序变量存储在关系数据库中是否可取还有待于进一步论证。
Whether storing these application variables in a relational database is a good idea or not is subject to some debate.
根据系统的设计，规则可被存储在关系数据库内，也可存储为XML文件。
Rules can be stored in a relational database or as XML files, depending on the design of the system.
持久性类封装对持久性存储的访问，包括关系数据库、平面文件和对象库。
Persistence classes encapsulate access to your persistent stores, including relational databases, flat files, and object bases.
更大的XML文档存储在与关系数据分离的数据区域中，它们也可以压缩。
Larger XML documents that reside in a data area separate from relational data can also be compressed.
关系数据库使用表格存储信息。
XML数据可以按照原有的层次化格式与关系数据一起存储。
Instead, XML data can be stored intact in its native hierarchical format alongside relational data.
将任意的结构化数据存储到关系数据库总是麻烦的。
Storing arbitrary structured data in a relational database will always be tricky.
存储库由一个关系数据库提供后端支持。
关系数据库中的XML支持的主要好处是，可以在同一个表中同时存储关系数据和XML数据。
The main advantage of the XML support in the relational database is that you can save both relational and XML data in the same table.
即业务逻辑，(在许多情况下)包括对数据存储(比如关系数据库)的访问。
The business logic, which, in most cases, involves access of data stores like relational databases.
这些模式讨论表示、到关系数据存储的映射、域逻辑、应用程序状态管理和创建的应用程序功能。
These patterns address presentation, mapping to relational data stores, domain logic, application state management, and common application functions.
DB 2与以前的版本一样存储关系数据。
规则通常可存储于文件内或关系数据库内，并可修改。
Rules can generally be stored in files or in relational databases and can be modified.
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