Read Cache: Percentage of times the page should be read from the buffer pool.
Read Cache：应该从缓冲区池读取的页面百分比。
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。
We cannot pay attention to read cache hit rate since we have been sequentially scanning a huge table over and over.
由于我们一遍又一遍地顺序扫描一个巨大的表，这样我们就无法关注读缓存命中率。
If all the data fits in the cache, then the data is read from disk only once; after that, all requests are satisfied from the cache at memory speed.
如果所有数据都在缓存中，那么只需从磁盘读取一次数据；毕竟，所有的请求都可以用内存速度从缓存中得到满足。
Buffer Cache - Memory allocated for storing data blocks read from physical data files.
缓冲区缓存——为存储从物理数据文件读取的数据块而分配的内存。
This means the cache can service the read requests instead of the database.
这意味着缓存是为读请求服务，而不是数据库。
To improve performance, stylesheets read from disk are cached in memory - the node does not cache stylesheets that are supplied in the input message.
为提高性能，从磁盘读取的样式表缓存在内存中——节点不能缓存输入消息提供的样式表。
Such an access is serviced by the processor's L1 cache and the data is read or written all at once; it cannot be affected halfway by other processors or threads.
这种存取方式是由处理器的L1缓存来服务的，数据会立刻被写入或读入而不会受到其它存储器或线程的影响。
Cache doesn't really help if you only read items once.
如果您只需读取这些条目一次，那么缓存实际上帮助不大。
On a read request, first check the cache.
对于读取请求，首先查看缓存。
Further, applications that might benefit from having a file system read ahead or high buffer cache hit rates might actually see performance degradation.
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。
Read the namespaces from the document and cache them.
从文档读取名称空间并缓存它们。
Read-only reference data can be kept in a cache in memory.
只读引用数据可以被保持在内存缓存中。
The advantage of providing feeds in RDF format is that resources that support Semantic Web activity will now read, cache, and include content from those feeds in their search results.
以RDF格式提供feed的好处在于：支持SemanticWeb行为的资源将在其搜索结果中阅读、缓存和包含来自那些源的内容。
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。
The fix, then, is for us to take advantage of the disk cache to make sure that the memory pages on disk that we must read at startup have already been loaded before we need them.
那么改进的是，利用磁盘缓存来确保在启动时要读取的磁盘上的内存页在我们需要之前已经加载好了。
Memcached is used by many large sites to cache various objects in a distributed memory system, rather than having to read from disk or a database.
许多大型站点都使用memcached在分布式内存系统中缓存各种对象，这样就不需要从磁盘或数据库读取它们。
A web server's underlying operating system will cache files that were recently read from disk in physical memory.
Web服务器的基本操作系统将在物理内存中缓存最近从磁盘读取的文件。
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。
Because workloads with high Symmetrix cache read-hit rates are serviced at memory access speed, storing the data needed on EFDs may not result in a significant increase in performance.
因为具有高symmetrix缓存读中率的工作负载都是以内存访问速度实现的，所以在EFD中存储所需要的数据可能不会对性能有大的改进。
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)。
By separating the two elements of the structure into two different cache lines, modification of one cache line does not cause another cache line to be read in again from the memory.
通过把该数据结构的两个元素分离到两条不同的高速缓存线路，一条高速缓存线路的修改就不会导致再次从存储器读入另外一条高速缓存线路。
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。
In this way the number of cache lines read in are reduced.
这样，被读入的高速缓存线路的数量就减少了。
If access to the source database is unreliable, striving for resiliency in the cache layer might improve overall stability for read-intensive applications.
如果对源数据库的访问不可靠，在缓存层争取弹性可能会提高读密集型应用程序的总体稳定性。
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。
You can cache CAMV templates into memory to perform repeated validations and not read the templates from the hard disk for each and every validation performed.
可以将CAMV模板缓存到内存中来执行重复验证，而不需要每次执行验证时从硬盘读取模板。
However, when the application is clustered and a cluster aware cache is needed, the local read-only caches are not enough.
不过，当对应用程序进行集群并需要识别集群的缓存时，本地只读缓存是不够的。
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。
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。
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