密切关注您的总体缓冲池命中率。
比较缓冲池的应用程序命中率。
比较数据库的应用程序命中率。
这一缓存的命中率是99%。
在此处，我们对读写缓存命中率感兴趣。
Here, we are interested in the read and write cache hit rates.
可使用下列公式计算包缓存器的命中率。
The package cache hit ratio can be calculated using the following formula.
现在的缓冲池命中率就显示了较好的结果。
该查询只返回命中率低于90%的缓冲池。
The query returns only the buffer pools that have a lower hit ratio than 90%.
可使用下列公式计算目录缓存器的命中率。
Catalog cache hit ratio can be calculated by using the following formula.
例如，使用此关联会产生较高的缓存命中率。
For example, with this affinity there would be a higher cache-hit rate.
曾经有一场比赛我命中率非常的高。
获取新的快照，并计算新的缓冲池命中率，如下
Take a new snapshot, and calculate the new bufferpool hit ratio as follows
4分，7.3板，1.4冒57.7%命中率。
4 points, 7.3 boards 1.4 blocks, and 57.7 percent shooting from the floor.
在本例中，您的命中率大约是71%。
以上示例显示了98.4%的良好缓冲池命中率。
The above example shows a good buffer pool hit ratio of 98.4%.
您获得的缓存命中率和未命中率是多少。
图3用红色高亮显示了命中率，这表示存在性能问题。
Figure 3 shows the hit ratio highlighted in red, which indicates a performance problem.
如果命中率较低，则可以增加缓冲池页数来提高性能。
If the hit ratio is low, increasing the number of buffer pool pages may improve performance.
较小的命中率表明应该增大参数pckcachesz。
A smaller hit ratio indicates that the pckcachesz parameter should be increased.
一般情况下，缓冲池命中率在80%以上就认为是良好的。
In general, a buffer pool hit ratio above 80% is considered good.
为数据分区设计相应的方法，以尽可能地增大缓存命中率。
Devising methodologies for partitioning the data to maximize cache hits.
命中率与缓存大小、底层数据的数量和数据访问模式有关。
The hit ratio is a function of the cache size, the amount of underlying data, and the data access pattern.
使用一个缓冲池，但是增加其大小直至索引命中率停止增长。
Use one buffer pool, but increase its size until the index hit ratio stops increasing.
他也在小前锋球员效率榜上排名前五，而且引领着投射命中率。
He's top five in per among similar small forwards and leads that group in true shooting percentage.
同时，戈登也能投篮，职业生涯38%的三分命中率。
But Gordon can shoot, too, with a career 38 percent mark from three-point distance.
图13 - 15使用定量的模型说明了较高缓存命中率的好处。
Figures 13-15 illustrate the advantages of higher cache hits with a quantitative model.
提高tlb命中率可以提高CP i度量，从而也提高程序的性能。
An increase in TLB hit rate improves the CPI metric and, therefore, performance of that program.
页数越少，意味着TLB进程将具有更高的命中率，因而性能更好。
The fewer pages would mean that the TLB process would have a higher hit ratio and therefore improved performance.
一个良好调优的系统可以轻松实现远高于90%的命中率。
A well-tuned system can easily have a hit ratio well above 90%.
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 effect of increasing the probability of a cache hit in the near cache is a 42% improvement in data access time.
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