This cache helps prevent slow Write requests.
这个缓存有助于防止写请求变慢。
In this case, you can improve performance by connecting to an external storage device that has write cache enabled.
在这种情况下，您可以通过连接启用了写缓存的外部存储设备来提高性能。
Utilize disk storage with fast write cache for the logs.
为日志分配一个具有快速写入缓存的磁盘存储器。
Some modern laptop hard drives have an even nastier habit of throwing away their write cache whenever the system is rebooted or suspended.
一些新式膝上电脑的硬盘有一个更令人讨厌的习惯：每当重新引导或暂挂系统，就丢弃它们的写高速缓存。
A third alternative to help reduce the risk of data corruption is to turn off the write cache on your drives.
第三种降低数据丢失风险的选择是关闭磁盘的写缓存功能。
There are three main ways to accelerate the performance of AnyStorage storage virtualization gateway: cache acceleration, parallel IO and random write acceleration.
而AnyStorage存储虚拟化网关的性能加速手段主要有三种：缓存加速、并行IO技术与随机写加速。
Another reason to set a custom location is when users running your application do not have write access to the directory location the common language runtime USES for the download cache.
设置自定义位置的另一个原因是：运行应用程序的用户对公共语言运行时用作下载缓存的目录位置不具有写访问权限。
Under normal circumstances, a write request is written directly to cache and incurs no delay because physical disk access is not required.
在正常的环境中，一个写请求是直接写入到缓存中而不会引起延迟的，因为它不需要访问物理磁盘。
Linux, under normal circumstances, USES a system file cache to buffer, read, and write requests from disk.
在一般情况下，Linux使用一个文件系统缓存为磁盘请求进行缓冲和读写。
The cache is generally allowed to write variables back to main memory in a different order than they were written by the program.
通常允许缓存以与程序写入变量时所不相同的次序把变量存入主存。
For example, if you write a program that allocates and frees many tree nodes, you might decide that is worth it to cache some nodes, assuming you know of a fast way to do this.
例如，如果你写一个分配和释放很多树节点的程序，你会认定高速缓冲一些节点是有价值的，假设你知道一种快速的方式能做到这一点的话。
This article will show you how to use handlers to cache the body, use this cached data in case of failure conditions, and then write a reliable Web service client.
本文将说明如何使用处理程序来缓存主体、如何在出现故障时使用此缓存以及如何编写可靠的Web服务客户机。
Even though SSD writes are faster than traditional disk writes, disk write cache typically provides good disk write performance and levels the playing field between the two types.
即便SSD写操作要快于传统的磁盘，但是磁盘写缓存通常提供良好的磁盘写性能，从而使这两种类型的磁盘可以实现相差无几的写性能。
The write cache is generally considered to be a very good thing (read Linus' explanation and opinion of write caching in Resources).
通常认为写高速缓存是个非常好的事物(请阅读参考资料中Linus对写高速缓存的解释和看法)。
After each write test, the test disk was unmounted as a way to ensure that no operations remained in Linux's disk cache.
在每个写测试之后，测试磁盘被卸载，以确保在Linux的磁盘缓存中没有操作。
You may not know this, but most modern hard drives have something called a "write cache", used by the hard drive to collect pending write operations.
您可能不知道，但大多数新式硬盘有一个称为“写高速缓存”的东西，硬盘使用它来收集暂时被挂起的写操作。
In a distributed installation, each report server that has a cache will write the cache state file to its local logs directory.
在分布式安装中，拥有一个缓存的每个报表服务器都会将缓存状态文件写到其本地日志目录。
Read cache hits should be in excess of 99 percent, and we would like write cache hits to be above 95 percent.
读命中率应超过 99%，写缓存命中率最好达到 95% 左右。
The second change was adding another write-through Row Cache containing database records: users and tweets.
第二个改动是加入另一个直写式行缓存，它包含了数据库记录：用户和tweets。
The first architectural change was to create a write-through Vector Cache containing an array of tweet IDs which are serialized 64 bit integers.
第一个架构改动是创建一个直写式向量缓存包含了一个tweetID的数组，tweet ID是序列化的64位整数。
Ensure read and write cache is enabled on your storage system.
确保您的存储系统上启用了读写缓存。
For example, to write the cache state file for an Oracle Essbase cube, the Settings would be similar to what is shown below.
例如，要为一个OracleEssbase多维数据集写入缓存状态文件，设置将与下图类似。
An access to a raw device avoids the cache, resulting in direct read and write operations on the physical device.
而对原始设备的访问则没有缓存，导致物理设备上的直接读写操作。
So the file system cache can help there quite a bit to avoid read and write operations on the disk.
所以文件系统缓存可以很大程度上帮助避免对磁盘的读写操作。
First of all, you need to write a back-end server that can accept connections and cache them.
首先，您需要编写能够接收并缓存连接的后端服务器。
WebSphere eXtreme Scale uses loaders to read data from and write data to the database from the in-memory cache.
WebSphereeXtremeScale使用了加载器读取内存中缓存的数据，以及将数据写入到数据库中。
For example, read and write requests to the underlying device drivers migrate through the buffer cache.
例如，对底层设备驱动程序的读写请求会通过缓冲区缓存来传递。
This is the amount of cache available on the drive, as well as the set of algorithms that are used to read and write data.
这指的是驱动器上可用的缓存数，以及用于读写数据的算法集。
As discussed earlier, with a write-behind cache, the transaction completes when the data is written to the cache, which is fast.
正如上文讨论的一样，使用写入后缓存，事务在数据写入缓存时完成，这样速度更快。
For example, when we write to a file, the new length and the last modification timestamp are updated in the metadata cache.
例如，当写入一个文件的时候，这个文件的长度和最后修改时间都要在元数据缓存器里面更新。
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