Hard disk data write and read through the file system to achieve.
硬盘数据的写入和读取，都是通过文件系统来实现的。
In the next section, we'll see how to write data to the database.
在下一节中，我们将看看怎样向数据库写入数据。
This tutorial describes how to write queries that require some kind of data analysis.
本教程描述如何编写需要进行基本数据分析的查询。
You can then write the necessary data and provide bounded Read performance over the data.
然后，您就可以写入必要的数据，并为数据提供不错的读性能。
Listing 4 shows the primitive data types we'll write to the record store.
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。
When the client writes to their connection, write that data to all sockets.
当客户端写入它们的连接时，将该数据写到所有的套接字。
We also need to write some typical reports which would use this data.
我们还需要撰写一些使用该数据的典型报告。
Then write your code to check for and protect itself from that weird data.
然后，编写代码来检查这些恶意数据以保护自身免受这些数据的破坏。
The client can change the data as required and write a new XML file.
客户机可以根据需要修改数据并编写新的XML文件。
A program can also read and write data into the user Spaces on the system.
也可以通过程序在系统的用户空间中读写数据。
We've made it easier to write data driven tests.
我们已经让编写数据驱动的测试变得更加简单。
With inductive data, it is fairly easy to write recursive procedures.
使用归纳数据编写递归过程非常简单。
Instead write the feedback down somewhere as one single data point to consider amongst others.
相反地，记下这些反馈，作为众多反馈中可作为考虑因素的数据之一。
Write a builder to build the chart xml from this data.
根据当前数据编写生成器。
The application programmers don't have to write the code for chunking the data.
应用程序员无需编写区块操作的相关代码。
With protocol buffers, you write a.proto description of the data structure you wish to store.
利用protocolbuffers，你对需要存储的数据结构编写一个。proto描述文件。
Imagine the code that you'd have to write to extract that data without XPath.
设想一下如果不使用XPath，提取同样的数据您得编写多少代码。
You can write XQuery such that clients can request data in various formats.
您可以编写XQuery以便客户端能够请求各种格式的数据。
To write data to a file, you have to first create the file object.
要把数据写入文件，必须先创建file对象。
Next, you will write a test case for the Address_To_AddressCSV data map.
下一步，您将为Address_To_AddressCSV数据映射编写测试用例。
You write a reference to the new hash back into $data.
可以将这个新散列的引用写回 $data。
Only a small buffer is needed to read or write data.
它只需要使用一个很小的缓冲区来读写数据。
When we accessed each data source directly, we naturally had more code to write.
当我们直接访问每个数据源时，自然就有更多的代码要编写。
These keysets provide read and write access to the data protected by their keys.
这些键集通过它们的键，提供了对保护数据的读写权限。
Instead, the script could rapidly read and write data structures directly.
相反，使用脚本可以直接快速读写数据结构。
Be sure to tell the process where you'd like it to write your data!
确保进程告诉您想让其在何处写入您的数据！
Most data federation implementations support a various degree of read and write access.
大部分联合实现都支持不同程度的读写访问。
The application needed the ability to read and write data from a back-end database.
应用程序需要能够从后端数据库读写数据。
Usually for this test, you just write the data onto a ByteArrayOutputStream.
通常，对此测试，您只需在ByteArrayOutputStream 上写入数据。
Usually for this test, you just write the data onto a ByteArrayOutputStream.
通常，对此测试，您只需在ByteArrayOutputStream 上写入数据。
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