由每个业务对象处理数据序列化。
配置方法绑定-数据序列化。
另一个常见的注意事项就是数据序列化。
将数据序列化为xml。
评估从同一组对象是否可以创建不同的、定制的数据序列化。
Assesses whether different, customized data serializations can be created from the same set of objects.
然后使用这些类加载XML数据，将其中的数据序列化为 XML。
Then you work with those classes, loading XML data into them and then serializing their data back to XML.
参考另一个圣路易斯联邦储备银行发布的专门追踪商业银行放贷金额的数据序列。
By looking at another data series from the St. Louis Fed that tracks how much money commercial Banks have lent.
这可能在与服务实现和客户代理一起使用时会引发运行时数据序列化错误。
This could cause run-time data serialization errors when used with service implementations and client proxies. Here are some recommendations to help avoid this problem.
详细了解YAML，这是一个针对所有编程语言的人类友好的数据序列化标准。
Learn more about YAML, a human friendly data serialization standard for all programming languages.
减少数据序列化要求影响的一个简单方法是确定其是否应用于数据的一个逻辑子集。
An easy way to reduce the impact of a data serialization requirement is to see if it applies to a logical subset of the data.
现在，您应该很好地理解了如何将XML数据序列化成具有不同编码的不同类型的输出流。
You should now have a good understanding of how to serialize XML data into different types of output streams with different encodings.
到这里，我只阐述了清单1中创建服务寻址和数据序列化的代码所用到的JAX- RS注释。
So far, all I've talked about in Listing 1 are the JAX-RS annotations that set up the routing and data serialization for the service.
这些专用部分是作为附加到IOR的数据序列出现的，并且只有构建 IOR的ORB才懂得这些数据。
These proprietary parts appear as sequences of data attached to the IOR and only the ORB that built the IOR will be able to understand the data.
其中一些问题得到了广泛的关注(如确保数据序列化的应用程序代码等)，而其他问题却没有得到足够的重视。
While some of the issues are well known, such as the application code needed to ensure data serialization, others have not received as much attention.
对于基于Ajax的应用程序，保存浏览器的数据信息的过程更为复杂，因为必须将数据序列化并发送回服务器。
With Ajax-based applications, the process of saving information from data at the browser is even more complicated because it's necessary to serialize and send the data back to the server.
最后，用这些生成的类编写应用程序，表示自己的模型数据，并通过框架提供的一些辅助机制把数据序列化成xml。
Finally, you write your application using these generated classes to represent your model data and serialize them to XML through some convenient mechanism provided by the framework.
要从客户端访问所有这些数据并进行处理或保存任何更改，在网络带宽和计算(用于数据序列化)方面将产生非常大的开销。
It would be very costly in terms of network bandwidth and computation (for data serialization) to access all this data from the client for processing and then persist any changes.
RPCAdapter的一个强大之处就是能够将EJB会话和集合数据序列化到被返回给浏览器客户机的JSON或xml流中。
One of the powerful aspects of the RPCAdapter is the ability to serialize EJB session and collection data to a JSON or XML stream that is returned to the browser client.
但是，如果能够创建XML对象，轻松地访问和过滤xml节点，轻松地把数据序列化成显示或存储所需的字符串，那么会怎么样呢？
But what if you could easily create XML objects, easily access and even filter XML nodes, and easily serialize the data to a string for display or storage?
两者之间的主要区别是前者包含一个模式(schema)，这个模式完整地描述SOAP消息，而后者需要额外的编码规则以便把数据序列化为消息。
The major difference between the two is that the first contains a schema that fully describes the SOAP messages, while the second needs extra encoding rules to serialize the data into a message.
该DTD把数据序列化为通常在面向对象编程语言中才会见到的(嵌套的)数据结构集：词典、数组、字符串、数字、boolean值、日期和二进制数据。
This DTD serializes data into a (nested) set of data structures that are common in object-oriented programming languages: dictionaries, arrays, strings, Numbers, booleans, dates, and binary data.
首先要将数据结构和序列映射到业务级别的概念。
You start by mapping existing data structures and sequences to business-level concepts.
可以使用UNIQUE函数处理在序列数据对象中找到的所有独特成员。
You can use the unique function to evaluate all the unique members found in a series data object.
但是假设想获得公司数据的一个序列。
循环完成后，我们将数据的长度压入到序列的尾部。
After the loop is done, we push the length of the data at the end of the list.
比如，RDF标准支持使用包、序列和替代来描述数据。
For example, the RDF standard supports the use of the bags, sequences, and alternatives during data description.
比如，RDF标准支持使用包、序列和替代来描述数据。
For example, the RDF standard supports the use of the bags, sequences, and alternatives during data description.
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