类型转换程序—负责数据类型转换。
避免客户机与数据库之间的数据类型转换。
自动数据类型转换服务。
这种组件的特殊形式可以处理数据类型转换。
A specialized form of this component works with data type conversion.
现在不再需要数据类型转换了。
此功能以及一些有用的数据类型转换函数。
This feature as well as some useful data type conversion functions.
源代码根本没有包含任何数据类型转换，怎么会这样呢？
How can that be, since the source code doesn't include any casts?
有关数据类型转换的更多信息，请参见互操作封送处理。
For more information on data type conversions, see Interop Marshaling.
因为可以重新使用此段代码，所以执行数据类型转换是一项常见任务。
Performing the data type conversion is a common task, so this piece of code can be reused.
因此，对类型参数的数据类型转换将变成对参数上界的转换。
So, casts to type parameters will turn into casts to the upper bound of the parameter.
这些数据类型转换被期望能够成功，但在本例中却没有成功。
These casts are supposed to succeed, but in this case they don't.
对mysql源到DB 2数据库产品目标的ENUM数据类型转换支持。
ENUM data type conversion support for MySQL source to DB2 database product target.
会首先使用JAXB将复杂数据类型转换为XML，然后传递给服务调用者。
Complex data types are first converted into XML using JAXB and then passed to the service invoker.
数据类型转换或instance of操作中的“外露”参数。
请注意main方法主体部分的第三行中需要进行的数据类型转换。
Notice the cast needed in the third line of the body of the main method.
这会避免数据类型转换开销过高和可能的SQL 数据类型失配错误。
This avoids datatype conversion overhead and possible SQL datatype mismatch errors.
您需要编辑Transformer阶段以调用正确的函数进行数据类型转换。
You need to edit the Transformer stage to invoke appropriate functions for your data conversion.
不能在数据类型转换或instance of操作中使用“外露”类型参数。
"Naked" type parameters can't be used in casts or instanceof operations.
分布式异构系统中的数据类型转换，一直是计算机、自动化领域内人们关心的重要问题。
Data type conversion in distributed heterogeneous system is all along an important problem related to the computer and automatic domain.
在某些情况下，CLI会自动执行数据类型转换，但是这样同时也会带来看不见的(小小的)性能损耗。
CLI will automatically perform data type conversions in some cases, but this comes with a (small) hidden performance penalty.
赋值、计算或数据类型转换的结果太大，以至于不能在那种类型变量允许的取值范围内表示。
The result of an assignment, calculation, or data type conversion is too large to be represented within the range of values allowed for that type of variable.
在为DB 2UDB平台进行编码时，数据库引擎会处理所需的任何函数补偿、数据类型转换等工作。
When coding to the DB2 UDB platform, the database engine handles any function compensation, data type conversion, etc. needed.
然后，我们可以调用say函数，将myhouse变量的数据类型转换成“Talk”接口。
Then, we could call the say function, casting our myhouse variable to the "Talk" interface.
数据绑定技术的使用，将使数据库进行添加和修改操作时可避免复杂的数据类型转换，提高了效率。
It also enhances the efficiency to use data binding technique to avoid complex data type transformation in appending and amending.
需求到达网络协议栈，通过RPC/XDR（将数据类型转换为服务器架构） 然后到达NFS 服务器。
The request flows up the network stack, through RPC/XDR (to translate the data types to the server's architecture), and to the NFS server.
该算法采用数据驱动的方式，实现了GPP元件的数据处理及元件之间的数据传递和数据类型转换等一套完善的运行机制。
By using this algorithm, a perfect run-system for GPP including data processing of component, data transfer and data type transforming between components is realized.
当未使用数据类型转换的代码中显示的唯一错误就是ClassCastException时，我们应如何诊断这样的错误？
How are we supposed to diagnose a bug like this one when the only error signaled is a ClassCastException in code that makes no use of casts?
但并非如此；计算将继续，就仿佛数据类型转换成功了一样，然后在进一步进行计算时发出错误，或者更糟：用遭破坏的数据完成计算，但不向外发出任何错误信号。
But it won't be; the computation will continue as if the cast had succeeded, signaling an error further into the computation or worse, completing with corrupt data but no outward signs of trouble.
因为Tiger依靠类型擦除，所以数据类型转换和instance of测试中的外露类型参数被“擦除”为它们的上界(在前面的例子中，那将是类型Object)。
Because Tiger relies on type erasure, the naked type parameters in casts and instanceof tests are "erased" to their upper bounds (in the earlier case, that'll be type Object).
这些数据类型必须转换成服务器能够理解并使用的流。
These data types have to be translated into a stream the server can understand and work with.
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