这个结构必须包含数据类型与选择的字段兼容的字段。
This structure needs to have fields that have data types compatible with the selected fields.
结构类型从数据的角度来看只是一个代码表值。
The structure type is simply a code table value from a data perspective.
验证就是检查实例文档是否满足在XML模式中指定的结构、数据类型和内容限制的过程。
Validation is a process of checking whether the instance document satisfies structural, data type, and content constraints specified in the XML schema.
通过使用标准XML模式,可以显式地定义数据的结构和类型。
Using standard XML schemas, the structure and type of the data is explicitly defined.
结构化数据类型是一种用户定义的数据类型,它包含了一系列的属性,每一个属性都有一个数据类型。
A structured data type is a form of user-defined data type that contains a sequence of attributes, each of which has a data type.
这个字节数组包含INTEGER数据类型结构的所有字节。
This byte array will hold all the bytes of the INTEGER data type structure.
如果列是结构化类型列,则需要将结构化类型的名称指定为其数据类型(清单1)。
If the column is a structured type column, you specify the name of the structured type as its data type (Listing 1).
这些数据类型没有根据它们的所属权上下文分为不同种类的数据结构或区域;相反,它们是整个堆中增长最快的数据类型。
These data types are not categorized into different data structures or regions based on their ownership context; rather, these are the top-most growing data types for the whole heap.
这个元模型(见图2)描述组件类型、接口和数据结构11。
This metamodel (Figure 2) describes component types, interfaces, and data structures 11.
为了从表中检索结构化类型数据,必须有一些将类型转换成一个标量值,换句话说,这些值的类型必须基于某种内置的DB2 数据类型。
To retrieve structured type data from a table, there must be some way to convert that type into a single scalar value whose type, in turn, must be based on one of the built-in DB2 data types.
然而,DTD中缺乏对数据类型、可重用结构、名称空间等信息的描述手段。
However, DTDs lack support for describing data types, reusable structures, and namespaces.
技术性数据类型、格式、结构和名称。
IDL any是一种包含任何数据类型的结构。
REF USINGINTEGER子句指定了 INTEGER 数据类型,将使用这个数据类型表示该结构化类型及其所有子类型的 REFERENCE 类型。
The REF USING INTEGER clause specifies that the INTEGER data type will be used to represent the REFERENCE type of this structured type and all of its subtypes.
它们还可以存储结构化类型的列或索引数据。
在这两个场景中,非结构化数据的主要类型是文本。
In both of the above scenarios, text is the main type of unstructured data.
它描述了服务的接口,包括数据类型和数据结构。
This describes the interfaces of the service, including data types and data structures.
我最初目标仍是为您提供一种简单的数据结构的概念,它可以容纳任意数量的数据类型。
My more primitive version still provides you with the concept of a single data structure that can encompass any number of data types.
根据这里的描述,HTML看起来像结构化数据,但不是将隐藏语义应用到数据的结构类型。
The HTML looks structured as described here, but not the type of structure that applies the latent meaning to the data.
对于一个或多个列中的值,可以使用结构化类型作为数据类型对它们进行定义。
As values in one or more columns, which are defined using the structured types as their data types.
为进一步了解一个部分的内部结构,点击数据结构类型的标有下划线的名称,或点击数据结构连接,选择集合类型(如图19所示)。
To learn more about the internal structure of a section, click on the underlined name of a data structure type, or click the data structure link to select the collection structure (Figure 19).
这种产品类型层次结构使用元数据结构进行定义,并具有一组相关数据库表和业务服务。
This product type hierarchy is defined in a metadata structure and has an associated set of database tables and business services.
我们可以通过标准的关系方法或使用新的数据类型,在数据库中表示该层次结构关系。
We can represent this hierarchical relationship in the database through standard relational methods or using new data types.
这种非结构化类型的数据的增长势头有增无减,因此高效地处理它对于商业分析处理系统的持续成功至关重要。
This type of unstructured data continues to grow unabated, making the efficient processing of it critical to the continued success of business analytic processing systems.
比较分析确定一组数据结构,它们在许多组成数据类型的实例数目方面快速增长。
The comparative analysis identifies a set of data structures experiencing significant growth in the number of instances of constituent data types.
比较分析技术确定一组大规模数据结构,它们在许多组成数据类型的实例数目方面快速增长。
The comparative analysis technique identifies a set of large sized data structures experiencing significant growth in the number of instances of constituent data types.
定义了产品类型层次结构后,可以继续定义希望为层次结构中的每个类型捕捉的数据。
After you have defined the product type hierarchy, you can then define the data you wish to capture for each type in the hierarchy.
FROMsql子句定义了特定的函数,可以使用该函数将将一个值转换成表示结构化类型的内置数据类型。
The FROM SQL clause defines the specific function that will be used to transform a value to a built-in data type value representing the structured type.
它可能会依赖于邻近的API和数据类型首选的数据结构。
It might depend on the surrounding APIs and data structures which data type is preferred.
它可能会依赖于邻近的API和数据类型首选的数据结构。
It might depend on the surrounding APIs and data structures which data type is preferred.
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