写操作完成之后，它刷新文件缓冲区并解除文件锁。
On completion of the writing, it flushes the file buffers and unlocks the file.
为有效的对大数据量数据进行处理，本文介绍了一种用文件缓冲的方式来处理大数据量数据的方法。
To effectively deal with large data, in this paper the method of dealing with large data using file buffering was introduced.
如果排序的性能在您的环境中很重要，那么需要为工作文件创建一个单独的缓冲池。
If the performance of sorts is important in your environment, then create a separate buffer pool for work files.
现在，对于一般的数据库操作，不必考虑文件系统缓存，因为DB 2实现了缓冲池，这些缓冲池已经做了必要的缓存。
Now, for normal database operation you do not really have to worry about the file system cache because DB2 implements buffer pools that do the necessary caching already.
通常，熟文件更慢，因为存在附加的开销和文件系统提供的缓冲。
In general, cooked files are slower because of the additional overhead and buffering provided by the file system.
此外，每一个数据库可拥有自己的数据库配置文件、目录表、日志、保留的缓冲池区域和表空间。
In addition, each database has its own database configuration file, catalog tables, logs, reserved buffer pool area, and table Spaces.
它将整个文件读入自己的缓冲区，对该副本执行指定的操作，并可选地将缓冲区写到磁盘。
It reads entire files into its own buffer, makes the specified operations on that copy, and optionally writes the buffer to disk.
日志记录首先被写到内存中的日志缓冲池，然后再写到日志文件，通常是在日志缓冲池已满或者发生了一次提交时写到日志文件的。
Log records are written first to the log buffer in memory, and then to the log file, most commonly when the log buffer is full or a commit occurs.
到下一节“缓冲”就会明白使用静态文件的原因了。
The reason for the static file will become clearer in the caching section below.
日志文件系统是使用日志来缓冲文件系统的修改(同时也可以应用于紧急故障恢复)的，但可以根据记录的时间与内容采取不同的策略。
Journaling file systems use a journal to buffer changes to the file system (which is also used in crash recovery) but can use different strategies for when and what is journaled.
流模式将事件写入循环的缓冲文件stream.out 中。
Stream mode writes to a circular buffering file, called stream.out.
在Python程序中这很重要，因为在默认情况下，文件输入和输出是缓冲的；在调用print语句时，数据实际未被写入；相反，数据是成批写入的。
This is important in Python programs because file input and output are, by default, buffered; data isn't written as soon as you call a print statement but is instead written in chunks.
该方法依靠FileStream类来适当地缓冲输入和输出文件，以便代码可以逐个字节地执行必要的处理。
This method relies on the FileStream class to buffer the input and output files appropriately, so that the code can work byte by byte to perform the necessary processing.
数据层—文件系统|数据库|缓冲系统。
并且要使用Expires或者Cache - Controlheader来主动缓冲文件。
You should aggressively cache files using Expires or Cache-Control headers.
将磁盘的数据复制到缓冲区缓存，然后再复制文件数据时会出现多余的副本。
This copy occurs when the disk is copied to the buffer cache and then again from the file.
更复杂的方法可能涉及更多资源，而不仅仅是两个文件和一个缓冲区，这使得问题变得更加复杂。
And with a more substantial method, which might involve more resources than just two files and a buffer, it gets even more complicated.
在日志记录被写入日志文件之前，它们首先会被写到缓冲区。
Before log files are written to the log files, they are first written into buffers.
大多数文件系统都通过缓冲区缓存来相互通信，这种缓存通过缓存最近使用的数据来优化对物理设备的访问。
Most of the file systems communicate through a buffer cache, which is a cache that optimizes access to the physical devices by caching recently touched data.
用户可以使这些输出数据流入字符串、内部缓冲区、标准输出或文件。
Users can stream the output data into a string, an internal buffer, the standard output, or a file.
如果是在跟踪共享内存，跟踪缓冲区的大小将控制转储文件的大小。
If you are tracing to Shared memory, the size of the trace buffer controls the size of the dump file.
它会在当前正在编辑的文件下的缓冲区中显示验证结果。
It displays the results of the validation in a buffer below the file you are currently editing.
您可以非常简单地将它指向另外一个文件；从缓冲区中进行读取稍微有些困难。
You can point it at another file quite easily; it's a bit harder to, for instance, read from a buffer.
选择跟踪输出是写到文件，还是写到内存缓冲区。
Select whether the Trace Output is written to a File or to Memory Buffer.
而且，对于那些受益于文件系统预读功能或者较高缓冲区缓存命中率的应用程序，可能会出现性能的降低。
Further, applications that might benefit from having a file system read ahead or high buffer cache hit rates might actually see performance degradation.
缓冲区缓存会缓存文件系统和相关块设备之间的请求。
The buffer cache buffers requests between the file systems and the block devices that they manipulate.
缓冲区缓存会缓存文件系统和相关块设备之间的请求。
The buffer cache buffers requests between the file systems and the block devices that they manipulate.
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