清单5展示了如何使用流向rms中写入数据？
迄今为止的示例都侧重于读取数据，而不是写入数据。
So far, the examples have focused on reading data, not writing data.
'w '表示要向文件写入数据，并截断以前的内容。
'w' indicates that you want to write data to the file, truncating the previous contents.
'a '表示要向文件写入数据，但是添加到当前内容尾部。
'a' indicates that you want to write data to the file, appending to the end.
DAS的作用是从数据源检索数据以及向其中写入数据。
The role of a DAS is to retrieve and write data to and from a data source.
第二，使用这种技术读取和写入数据的时间比较长，因为您必须访问多个表。
Second, it takes longer to read and write data using this technique because you have to access multiple tables.
下面的代码示例说明如何通过将内存用作备份来读取和写入数据。
The following code example shows how to read and write data using memory as a backing store.
显而易见，这种方式也可以被用来检查写入数据(比如日志事务)的有效性。
Somewhat obviously, they can be used to check the validity of a block of data such as a journal transaction.
清单4和清单5显示了对循环缓冲区写入数据并且将其内容转储到文件的示例。
Listing 4 and Listing 5 show samples of writing the data to a ring buffer and dumping its contents to file.
这些操作的示例包括创建文件、在文件中写入数据或检查特定的文件是否存在。
Example operations include creating a file, writing to a file, or checking if a specific file exists.
写入数据并将其存入XML的操作是无法分开的，因此再多的讨论也无济于事。
The act of writing the data and putting it into XML can't be separated, so much of this discussion just doesn't apply.
任何进程都可以向共享内存区域写入数据，并且数据可以由其他进程读取或修改。
Any process can write data to a Shared memory region, and the data are readable and modified by other processes.
transformInto方法用于写入数据，并传入以下类型之一来写入输出
The transformInto method is used for writing data and one of the following types is passed in to write the output
此功能减少了从数据集中获得值或将值写入数据集所需要编写的代码的数量。
This feature reduces the amount of code you need to write to get a value out of or into a DataSet.
当每个线程第一次尝试写入数据时，它会尝试寻找一个空的内存槽位，并将其标记为忙碌。
As each thread tries to write data for the first time, it tries to find an empty slot of the memory and marks it as busy.
为了读取及写入数据，我编写了如图15所示的更新过的configuration类。
To read and write the data, I write the updated Configuration class shown in Listing 15.
但有一点重要差别：在写入数据后，需要把用户重定向到提交评论时正在阅读的post。
But there will be an important difference: After the data is written, we need to redirect the user to the post he was reading when he submitted the comment.
这篇文章讨论了在Python程序中如何从文件读取数据和写入数据到文件中。
This article discussed how to read and write data to a file from a Python program.
您将需要一个位置来保存所有客户端连接，以便在写入数据时可以写到它们中去。
You'll need a place to hold all of client connections so that you can write to all of them when you write data. Here is the variable that holds all of the client socket connections
流程活动从变量中读取数据以及向变量中写入数据，类似于在BPEL活动中的操作。
The process activities read and write data to and from variables, similar to how it is done in a BPEL activity.
WorkplaceFormsViewer对在本地文件系统上写入数据的位置有限制。
Workplace Forms Viewer limits where you can write data on the local file system.
为了向数据库写入数据，您必须创建(或修改)Row对象，然后向数据库写入那个Row对象。
In order to write to the database, you have to create (or modify) a Row object, and then write that Row object to the database.
RFHUtil允许您从/对文件或者队列读取/写入数据，并采用各种不同的格式来显示数据。
RFHUtil lets you read and write data from and to files or queues, and display data in a variety of formats.
通过直接向这些类写入数据，应用程序和applets可以在IBMi后台打印系统上生成输出。
Writing directly to these classes, applications and applets can generate output on the IBM I spool system.
可以用file对象读取数据、写入数据或把数据添加到文件，以及处理二进制或文本数据。
You can use the file object to read data, to write data, to append data to a file, and to work with either binary or textual data.
这意味着当多个进程和线程可以在同一时间从同一数据库读取数据，但只有一个可以写入数据。
This means that while multiple processes and threads can read from the same database at the same time, only one is able to write.
这个模型有趣的地方在于允许多个线程同时访问相同数据，但同一时刻只允许一个线程写入数据。
What's interesting with this model is that multiple readers are permitted access to the data at one time, but only one writer.
用户可以访问本机分区和文件夹，并从MicrosoftWindows会话中读取和写入数据。
Users can access local partitions and folders to read and write the data from a Microsoft Windows session.
随后，它将等待另一个程序(在本例中为DB 2LOAD命令)连接到它，然后再开始向管道写入数据。
It then waits for another program (in this case the DB2 LOAD command) to connect to it before it starts to write data to the pipe.
您可以将事件服务配置为将所有事件数据写入数据存储和/或将事件分发到其他JMS目的地。
You can configure the Event Service to write all Event data to a Datastore and or to distribute the events to other JMS Destinations.
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