F2PC to the remote source is enabled, and the federated server's logs are on a disk with write caching (yellow).
远程数据源启用了F2PC，且联邦服务器的日志放在带写缓存的磁盘上(黄色)。
F2PC to the remote source is enabled, and the federated server's logs are on a disk without write caching (green).
远程数据源启用了F2PC，且联邦服务器的日志放在无写缓存的磁盘上(绿色)。
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)。
For a given product (DJ or WFS), transaction throughput can be increased significantly by choosing log disks with write caching on the federated server.
对于一种给定的产品(dj或wfs)，通过在联邦服务器上选择带写缓存的日志磁盘，可以显著提高事务吞吐量。
For a given type of log disk (with or without write caching), Websphere Federation Server achieves a 16% - 26% higher transaction throughput than DataJoiner.
对于一种给定类型的日志磁盘(带或者不带写缓存)，WebsphereFederationServer的事务吞吐量比DataJoiner高16%- 26%。
Using the fastest hardware and storage management configuration possible, which involves factors such as disk and channel speed, write caching, and parallel writes.
尽可能使用最快的硬件和存储管理配置，这包括磁盘和通道速度、写缓存以及并行写等因素。
In particular it USES journal check summing and write barriers to help reduce the probability of data corruption from journals and out-of-order write caching on hard drives.
特别是Ext4利用日志校验和写屏障来减少由日志或乱序写入磁盘缓存(out -of - orderwrite cachingonhard drives)而导致的文件系统数据部一致的概率。
Using slow devices without write caching for the federated server logs (such as internal SCSI drives) increases the impact of enabling F2PC because the additional disk writes take longer.
而为联邦服务器日志使用不带写缓存的慢速设备(例如内部SCSI驱动器)，将增加启用F2PC的影响，因为附加的磁盘写要花费更长的时间。
Developers must write code to implement the data access layer, including optimizing SQL queries, caching results to optimize performance, without compromising an application's footprint.
开发人员必须编写代码来实现数据访问层，包括优化SQL查询、缓存结果以优化性能，而不会损害应用程序的规模。
Such applications typically use tricks that can greatly improve performance, such as partitioning, multi-threading, and write through caching.
这些应用程序通常使用可以显著改进性能的技巧，例如分区、多线程以及通过缓存进行写入。
Write-through caching pattern is used by the applications to write data to the cache which causes writes to an underlying resource (e.g. a database).
直写式缓存模式被用于将数据写入底层资源(如数据库)的缓存。
Local disk caching allows the NIM master to avoid having to use NFS to write to the client.
本地磁盘缓存允许NIM主机不必使用nfs来写入客户机。
The sample code includes a client driver that mimics operations on the grid to demonstrate how the write-behind caching function increases performance.
示例代码包含一个客户端驱动器，模仿在网格上的操作，用以演示write-behind缓存功能如何提高性能。
The write-behind caching feature, supported as part of the new Ehcache API, works with asynchronous batching of updates to the database.
后写式缓存特性作为新ehcacheAPI的一部分，适用于对数据库的异步批量更新。
These benefits and its simple configuration make the write-behind caching a truly powerful feature.
这些优势以及它配置的简单性，都使得write - behind缓存异常的强大。
This scenario also has faster response times than the write-through caching scenario where an update to the cache results in an immediate update to the database.
它比write - through缓存具有更快的响应时间，后者对缓存的更新会导致对数据库的及时更新。
This article reviewed the write-behind caching scenario and showed how this feature is implemented with WebSphere eXtreme Scale.
本文重新审视了write - behind缓存技术，并展示了如何在WebSphereeXtreme Scale下实现这一特性。
Write-back caching cannot be used on host controllers in a cluster without hindering performance.
在群集中的主机控制器上使用回写高速缓存会影响性能。
As an alternative to using the default file-based caching mechanism, you can specify a custom cache handling function that will be used to read, write and clear cached files.
一种使用以预设档案为基础的快取机制的方法是定义一个客制化快取处理函式，而此一函式将用来读取、写入、与清除快取档案。
A caching system certainly doesn't have to be overly complex, but I've always been of the opinion that very often the best code you can write is the simplest code you can write.
一个高速缓存系统，当然不必过于复杂，但我一直相信，你经常能写出最好的代码，你可以写的最简单的代码。
As an alternative to using the default file-based caching mechanism, you can specify a custom cache handling function that will be used to read, write and clear cached files.
作为一种可选择的，使用默认基于文件的缓存机制，你可以定制自定义缓存处理函数用以读、写、清除缓存文件。
As an alternative to using the default file-based caching mechanism, you can specify a custom cache handling function that will be used to read, write and clear cached files.
作为一种可选择的，使用默认基于文件的缓存机制，你可以定制自定义缓存处理函数用以读、写、清除缓存文件。
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