本例只存储字符串数据，所以您可以简单地将之附加到一个较长的字符串后面，并调用Calculator Handler中的一个简单函数，然后该函数可以将之解析出来。
This example is only storing string data, so arguably you can simply append it to a longer string and call a simple function in the CalculatorHandler, which in turn can parse it out.
传输之后，使用那个结构中的数据来将字符串自身复制到本地存储的缓存区内，方法是借助另一个dma传输并等待它完成。
After the transfer, you use the data in that structure to copy the string itself into your buffer in the local store using another DMA transfer, and wait for it to complete.
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?
您可以看到，这些文档可以存储包括字符串、整数、浮点数、日期、对象、数组等的各种数据类型。
As you can see, these documents can store various data types include strings, integers, floats, dates, objects, arrays and more.
缩略词数据存储为字符串。
CHAR存储固定长度的单字节或多字节的文本字符串(最高可达32,767个字节)；在整理文本数据时支持使用代码集顺序。
CHAR Stores single-byte or multibyte text strings of fixed length (up to 32,767 bytes); supports code-set order in collation of text data.
VARCHAR存储可变长度的单字节或多字节文本字符串(最高可达255个字节)；在整理文本数据时支持使用代码集顺序。
VARCHAR Stores single-byte or multibyte text strings of varying length (up to 255 bytes); supports code-set order collation of text data.
存储了时间数据后，就可以使用nf函数创建一个字符串，它可以将数字转变为字符串。
With the time data stored, you then create a string using the nf function, which converts Numbers into strings.
Text：简单字符串数据，存储为 #PCDATA、break或非 XML字符。
Text: Simple string data stored as #PCDATA, break, or non-XML characters.
最后，遍历数据存储器，查找那些name键包含字符串'Homework1 '的对象，然后对这些对象中的每一个执行操作。
Finally, we look through the datastore for objects whose name key contains the string 'Homework 1' and perform an operation on each of those objects.
它可以将结果作为系统内存中的字符串存储到文件或数据库表内。
It can store the results as a string in system memory, into a file, or into database tables.
提要源细节可以通过存储在系统内存的字符串的形式，借助一个输入文件或作为数据库中的记录提供。
The feed source details can be provided in the form of a string stored in system memory, via an input file, or as records in a database.
这些函数使用的所有模式均仅为字符串，这意味着其中任何一个都可存储在数据库中的一个表中。
All of the patterns used by these functions are just strings, which means that any of them can be stored in a table within your database.
当用户输完所有车辆数据后，您只需构建一个源于该对象的JSON字符串，并通过存储到某个隐藏字段中的方式将该字符串发送至服务器。
When the user is done with all the vehicles, you can simply form a JSON string out of that object and send it to the server by storing it in some hidden field.
如果将字符串存储在DB 2数据库的VARCHAR或char类型的列中，那么就常常需要在这些字符串上应用基于内容的谓词。
If you store strings in columns of type VARCHAR or CHAR in a DB2 database, you often have the need to apply content-based predicates on those strings.
另外，因为这个脚本可以在任何系统上为相同的字符串生成相同的数字，所以不需要把uid号存储在电子表格或数据库中。
And since this script will always generate the same number for the same character string on any system, the need for storing the UID number in a spreadsheet or database is eliminated.
简单的项属性可以是基元数据类型，例如整数或字符串，或者是称为内容的特殊数据类型，这种数据类型用于存储诸如文件字节等批量数据。
Simple properties of items can be primitive data types, such as integers and strings, or a special data type called content, which is used to store bulk data such as the bytes of a file.
翻译器需要打开词汇表数据库，复制英文字符串，翻译字符串，然后将用新语言表达的字符串存储到词汇表数据库。
Translators need to open the glossary database, copy an English string, translate it, and store the strings in the new language to the glossary database.
字符串数据随后被存储。
助手方法采用适当的数据类型并执行必要的转换以便将数据存储为字符串。
The helper methods take the appropriate data type and do the necessary conversions to store the data as a string.
这是之前的rdb无法做到的，rdb一般是通过将XML数据放进特定的表结构中来存储XML数据，而且只是简单地将数据作为大型字符串来处理。
This is in contrast to previous RDBs, which usually stored XML data by fitting it into a specified table structure, and simply handling the data as a large character string.
这里需要一个词汇表数据库来存储要翻译的英文字符串。
A glossary database is required to store the English strings for translation.
有两种新的数据类型可以存储二进制编码的字符串，这种字符串可以被索引从而实现快速检索。
Two new data types allow you to store binary-encoded strings, which can be indexed for quick retrieval.
将字符串和翻译存储在属性文件而不是词汇表数据库中。
Store strings and translation in properties files instead of glossary databases.
图7显示了示例数据访问对象(Data Access Object,DAO)代码的关键部分，并演示了如何从属性文件中存储的字符串检索和重新构建ACL信息。
Figure 7 shows the critical portion of our example Data Access Object (DAO) code, demonstrating how to retrieve and reconstitute ACL information from strings stored in a properties file.
这意味着非Unicode数据库中的Unicode表只能存储UTF-8编码的字符串。
That means Unicode tables in non-Unicode databases can store strings only in UTF-8 encoding.
另外一种情况是，不用解析文档，而将其作为字符串或字符大对象(Character Large Object,CLOB)存储在数据库中。
Another case is when you want to store a document in a database as a string or a Character Large Object (CLOB) without parsing it.
发布概要(PublishProfiles)会存储登录证书和数据库连接字符串，这样不需要管理员权限就可以部署应用程序。
Publish Profiles store login credentials and database connection strings, and do not require administrator privileges to deploy applications.
Feed生成器将查询字符串传递给数据库或存储库并返回包含与查询字符串匹配的条目的 Feed。
The feed producer passes the query string to the database or repository and returns a feed with entries matching the query string.
Feed生成器将查询字符串传递给数据库或存储库并返回包含与查询字符串匹配的条目的 Feed。
The feed producer passes the query string to the database or repository and returns a feed with entries matching the query string.
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