Now when a user submits a search, you can check for a cache-hit and immediately load the cached results.
现在当一个用户提交搜索时，您可以检查高速缓存命中情况，并立即加载缓存的结果。
Matching work partitions to their data partitions will increase the probability of a cache hit within the server and decrease remote accesses to the database, which introduces quite a bit of latency.
将工作分区与它们的数据分区进行匹配，这将增加服务器缓存的命中概率，并减少对数据库的远程访问，后者会引起较大的延迟。
If the work stream ID alias is already allocated to a policy set, the request might achieve a local cache hit.
如果工作流id别名已经分配给了策略集合，请求可能会得到本地缓存的回绝。
CCACHE_LOGFILE — If set, tells ccache to record the hit and miss statistics from the cache in this file.
CCACHE_LOGFILE——设置这个选项告诉ccache随机记录该文件在缓存中的统计信息。
Preloading the cache increases the chances of a cache hit and reduces the need to retrieve data from back-end tiers.
预先加载缓存提高了缓存命中的几率，减少了从后端层中获取数据的需要。
Identify problems with memory, including low buffer pool hit ratios, catalog cache hit ratios, and package cache hit ratios.
识别内存问题，包括较低的缓冲池命中率、较低的目录缓存命中率和较低的包缓存命中率。
This cache has a 99% hit rate.
这一缓存的命中率是99%。
The effect of increasing the probability of a cache hit in the near cache is a 42% improvement in data access time.
近缓存中缓存命中率逐渐增加，其效果是数据访问时间提高了 42%。
The effectiveness of the cache is directly proportional to the hit ratio, which is the percentage of requests satisfied by having the item in the cache.
缓存的有效性与命中率成正比关系，命中率是缓存中的项能满足请求的比例。
TLB cache entry reuse (cache hit) equates to quicker address translation and subsequently faster access to physical memory.
tlb缓存条目重用(缓存命中)意味着更快的地址转换，还意味着对物理内存的更快的访问。
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。
Because you accessed the portlet within 130 seconds, the system still had a valid cache entry (" cache hit "), and so it serves the portlet fragment out of the cache.
由于您在130秒内访问了Portlet，系统仍然具有有效的缓存条目(“缓存命中率”)，因此，该系统将从缓存中提供Portlet片段。
The Web server plug-in contains a built-in ESI processor which caches whole pages, as well as fragments, providing a higher cache hit ratio.
Web服务器插件包含内置ESI处理器，该处理器将缓存整个页以及必要的片段，具有较高的缓存命中率。
The statistics administration page can be very useful for examining the cache hit-to-miss ratios and eviction statistics to fine-tune cache sizes.
统计信息管理页对于分析缓存的hit- to - miss比例以及微调缓存大小的统计数据都非常有用。
Rh is the hit rate to the remote cache.
Rh是远缓存的访问率。
Package and catalog caches, and workspaces (for example, package cache hit ratio)
包与目录缓存，以及工作空间（如包高速缓冲区命中率）。
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。
Check that the cache size is sufficiently large and that the cache hit ratio is high for each of the dynamic SQL statements being executed.
对于每个被执行的动态sql语句，请检查高速缓存是否足够大且高速缓存的命中率是否较高。
With this model, you can simulate the effects a higher near-cache hit will have on the average data access time.
使用这个模型，您可以对较高近距离缓存命中率对平均数据访问时间造成的影响进行模拟。
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。
Figure 15. Increasing the probability of a near-cache hit, either through larger near caches or affinity routing, reduces the average data access time.
图15.通过较大近缓存或者关联路由，逐渐增加近缓存命中的概率，可以减少平均数据访问时间。
Use of literals instead of variables or parameters is generally discouraged within SQL because it makes each statement unique, which drives down cache hit ratios.
一般情况下，不鼓励在SQL中使用字面值，而是主张使用变量或参数，因为字面值会使每个语句具有独特性，这会降低缓存的命中率。
Here, we are interested in the read and write cache hit rates.
在此处，我们对读写缓存命中率感兴趣。
For example, with this affinity there would be a higher cache-hit rate.
例如，使用此关联会产生较高的缓存命中率。
This represents the near cache hit rate.
它代表近缓存访问率。
You might also be able to use approaches like a two-level cache to improve both the remote cache hit rate and the retrieval rate.
您可能还能够使用二级缓存等方法同时提高远缓存访问率和检索率。
The hit ratio is a function of the cache size, the amount of underlying data, and the data access pattern.
命中率与缓存大小、底层数据的数量和数据访问模式有关。
Lower bounded indicators are identified as unhealthy as they decrease in value (for example, the cache hit ratio indicator).
当设有下界的指示器(例如，缓存命中率指示器)的值降低时，它将标识为不健康。
Thus, a write-behind cache gives you memory speed for accessing data on all writes, and for all cache-hit reads, and has other benefits that you will see later.
因此，write - behind缓存在访问所有写入数据以及所有缓存命中读取时都能提供内存速度，而且还有一些其他好处，我们将在下文介绍。
In addition the Dynamic Query Mode contains a fine grained metadata and cell data cache which is trickle fed and a higher cache hit ratio than was previously possible.
此外，DynamicQueryMode包含一个细粒度元数据和单元数据缓存(即一个trickle fed)以及一个比以前更高的缓存命中率。
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