此模型将复杂的嵌套关系模式分解为由主键或主键和一个非主属性构成的原子模式集合。
This model decomposes a nested relational schema into a set of atomic schemas, each of them constitutes of a primary key or a primary key plus a non-primary attribute.
在GIS的数据库模式设计中，地理实体的关系模式分解是属性数据库应用设计的关键。
The relational mode decomposition of geographic entities is a key problem for applied designs of attributive database in database mode planning of GIS.
可以使用DB 29中的带注释的XML模式分解特性将XML文档分解到关系表。
The annotated XML schema decomposition feature in DB2 9 can be used to decompose XML documents into relational tables.
与以前的DB 2版本一样，DB2的分解功能依靠带注释的XML模式把xml属性和元素映射到关系表的特定列。
As with previous releases, DB2's decomposition facility relies on an annotated XML schema to map XML attributes and elements to specific columns of relational tables.
最后，任何符合带注释的XML模式的XML文档现在都可按照指定的映射分解成关系表。
Finally, any XML document that conforms to the annotated XML schema can now be decomposed into relational tables as per the specified mapping.
它允许将与目标关系模式在外形上显著不同的XML模式分解。
It allows XML schemas that differ significantly in shape from the target relational schema to be decomposed.
使用带注释的XML模式映射分解到现有的关系表。
Decomposed to existing relational tables using annotated XML schema mapping.
最后，可以把任何符合注释XML模式的XML文档按照指定的映射分解为关系表。
Finally, any XML document that conforms to the annotated XML schema can now be decomposed into relational tables, as per the specified mapping.
在DB 2Viper中引入的注释XML模式分解功能，可以用来把XML文档全部或者部分地分解为关系表。
The annotated XML schema decomposition feature, introduced in DB2 Viper, can be used to decompose XML documents, wholly or partially, into relational tables.
如果已经选择了分解，那么接着选择一种最适合查询和报告需求的目标关系模式。
If you have decided to shred, pick a relational target schema that best fits the query and reporting requirements.
如果决定将MIML分解到关系表，那么对于关系目标模式和实际的分解方法又有不同的选项。
If you decide to shred MIML to relational tables, there are different options for the relational target schema as well as for the actual shredding method.
注册好带注释的模式之后，就可以将MIML文档分解到关系目标表中。
After the annotated schema is registered, you can shred the MIML document into the relational target tables.
而且，对于大多数BI工具而言，分解到关系模式中的MIML数据更易于访问。
Also, MIML data shredded into a relational schema is more easily accessible for most BI tools.
注意：为了应对更多的情况，可以使用不同的映射模式将XML数据分解为关系表。
Note: Different mapping schemas are used for shredding the XML data to the relational tables in order to cover more usage possibilities.
将XML文档分解到专门创建的关系模式中只是新功能所宣称要解决的更困难和更一般问题的一种特例。
Decomposition of XML documents into a specially created relational schema is only a special case of the harder and more generic problem that the new feature claims to solve.
XML分解需要一个关系目标模式。
首先，必须决定是要将数据分解到关系模式还是将它存储为XML数据类型。
First, you must decide whether you want to shred the data to a relational schema or store it as an XML data type.
至此，已经创建了一个带注释的XML模式，并将其注册到DB 2 XML模式库中，现在可以调用XML分解过程，开始填充关系表。
Now that you have created an annotated XML schema and registered it into DB2 XML schema repository, you can call into DB2 the XML shredding procedure and start populating your relational table.
用关系SQL/XML函数和带注解的模式映射进行分解。
Shred to relational SQL/XML functions and annotated schema mapping.
DB 29支持XML模式的注释，因此除递归模式外，可以将数据分解为关系表。
DB2 9 supports annotation of XML schemas so that the data can be decomposed into relational tables with the restriction on recursive schemas.
DB2Viper中引入的带注释的XML模式分解特性可用于将 XML文档整个或部分地分解成关系表。
The annotated XML schema decomposition feature introduced in DB2 Viper can be used to decompose XML documents, wholly or partially, into relational tables.
其中包括XML模式文件名、xsr名、所有者、分解和各种依赖关系。
It displays the XML schema file name, XSR name, owner, decomposition and any dependencies.
产品导向型作业分解是中心制造船模式下的运作方式的基础，关系到设计、制造和整个管理环节。
The core of center model operation method is the products-guiding jobdisintegration, which covers design, manufacture and whole management links.
给出了关系数据模式分解中，既有无损连接性又保持函数依赖的分解算法，并用该算法指导应用软件的开发工作。
This paper gives a dissolution algorithm on relational data model system which has a lossless join and remains function dependency as well.
在函数依赖情况下，用图示方法分析关系模式的分解情况，探讨数据库实例和泛关系的联系。
In the case where only FDs are concerned, decompositions of relational schema are examined with diagrams. The relationship between database instances and universal relations is also investigated.
避开复杂繁琐的数学推导，分析了关系数据库理论中的函数依赖，数据模式的规范化及其分解这三个重要概念，指出了它们对关系数据模型设计的指导作用。
Three important conceptions-function dependence, normalization and dissolution of data scheme-are analysed. Their directive action for design of relational data model is pointed out as well.
避开复杂繁琐的数学推导，分析了关系数据库理论中的函数依赖，数据模式的规范化及其分解这三个重要概念，指出了它们对关系数据模型设计的指导作用。
Three important conceptions-function dependence, normalization and dissolution of data scheme-are analysed. Their directive action for design of relational data model is pointed out as well.
应用推荐