可以按相似的方法访问其他基本数据类型。
基本数据类型的大小。
基本数据类型的映射是很直接的。
访问基本数据类型相当容易，因为语法非常简单。
Basic data types are fairly easy to access because they have a very simple syntax.
EasyMock为基本数据类型提供相似的方法。
清单4显示了我们将会写入到记录存储中的基本数据类型。
Listing 4 shows the primitive data types we'll write to the record store.
基本数据类型与另一个相同的基本数据类型兼容。
A base data type is compatible with another of the same base data type.
另一种常见的情况是端点只接受对象，而不接受基本数据类型。
Another common one is an endpoint that only accepts objects, and rejects primitive data types.
不需要通过使用copy_userdata访问基本数据类型。
There's no need to use copy_userdata to access the basic data types.
现在，看看如何访问基本数据类型和派生数据类型的参数。
Now, take a look at how to access basic and derived data types of arguments.
分析了充分性度量的基本数据类型，建立了数据关联模型。
The basic data type for adequacy measurement is analyzed, and the data relevancy model is established.
前面的例子，我们都是使用基本数据类型（整型，字符串）。
Note that we advance pos by the number of columns the datatype uses! For string/int this is one.
这些示例查询的结果都相当简单，因为fax元素是基于基本数据类型的。
The results of the sample queries are relatively simple because the fax element is based on a primitive data type.
这篇文章还介绍了可以用来在Derby数据库中保存数据的基本数据类型。
This article also covered the basic data types you can use for storing data in a Derby database.
对于这个场景，可以直接从逻辑模型中导出基本数据类型，作为XML开发的起点。
For this scenario, it can be useful to export the base data types directly from the logical model as a starting point for XML development.
通常关于基本数据类型之间关系的假设在64位数据模型上都已经无效了。
Common assumptions about the relationships between the fundamental data types may no longer be valid in a 64-bit data model.
[variable - type]应该是XMLSchema基本数据类型。
[variable-type] should come from the XML Schema base data types.
最后用一个简单的实例说明了使用遗传算法生成基本数据类型测试数据的过程。
At last we use a simple example to show the process of test data of basic type generation with GA.
因为常量对于构造表达式非常的重要，所以学会书写每种基本数据类型的常量就显得至关重要了。
Because constants are an important building block for constructing expressions, it is important to be able to write constant values for each of the basic data types.
尽管这里只简要介绍了数据类型，但是我们希望让您对基本数据类型和操作有足够的了解。
Although this has been a top level flight over the data types, hopefully it will give you enough to understand the basic types and operations.
表3对x86上的Linux和SPARC上的Solaris这两者的基本数据类型进行了比较。
Table 3 compares base data types for Linux on x86 and Solaris on SPARC.
你当然不可能完全的回避它们，有些基本数据类型里一些有用的方法跟它们有关联，问题不大。
You can't dodge them completely, as fundamental data types have useful methods associated with them, and that's okay.
例如，Scala中的每个值都是一个对象，包括基本数据类型(即布尔值、数字等)在内，连函数也是对象。
For example, every value in Scala is an object, this includes basic data types (i.e. booleans, Numbers) as well as functions.
返回类型可以是4 种XPath 1.0基本数据类型之一：boolean、字符串、节点集和数字。
The return type can be any one of the four basic XPath 1.0 data types: boolean, string, node set, and number.
它定义了动态字符串、通用类型、字符集合、列表和其它基本数据类型以及可遗址的线程和同步对象，ip套接字以及命名管道。
It defines dynamic strings, variants, character sets, lists and other basic data types along with portable thread and synchronization objects, IP sockets and named pipes.
当然，但是您将很快看见，在2.4.4，字节缓冲区对象拥有一大堆方便的方法，作为别的基本数据类型用来获取和存放缓冲区内容。
Sure, but as you'll soon see in Section 2.4.4, ByteBuffer objects possess a host of convenience methods for getting and putting the buffer content as other primitive data types.
在一个系统中有两种不同类型的数据类型：基本数据类型（basicdata type）和派生数据类型（derived datatypes）。
There are two different classes of data types available on a system: base data types and derived data types.
这种组合不可避免地使许多程序员忽视了数据类型(如整型和浮点)和基本数据结构(如列表和映射)的缺陷。
The combination was irresistible enough that programmers could overlook the lack of data types like int and float and basic data structures like lists and maps.
这种组合不可避免地使许多程序员忽视了数据类型(如整型和浮点)和基本数据结构(如列表和映射)的缺陷。
The combination was irresistible enough that programmers could overlook the lack of data types like int and float and basic data structures like lists and maps.
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