hit ratio
英 [hɪt ˈreɪʃiəʊ]
美 [hɪt ˈreɪʃioʊ]
n. 命中率
双语例句
- The key tuning parameter to look at is called bufferpool hit ratio and describes the ratio between the physical data and index reads and the logical reads.
需要检查的关键调优参数称为缓冲池命中率，该参数描述物理数据与索引读取和逻辑读取之间的比率。 - For example, if you would only like to view the buffer pool hit ratio then you can right click on the graph-> Add/ Remove Performance Counters-> Resource Monitoring Counter and select only the pool hit ratio counter.
例如，如果只想查看缓冲池命中率，那么可以右键单击该图->Add/RemovePerformanceCounters->ResourceMonitoringCounter并只选择池命中率计数器。 - The above example shows a good buffer pool hit ratio of98.4%.
以上示例显示了98.4%的良好缓冲池命中率。 - The buffer pool hit ratio is now showing excellent results.
现在的缓冲池命中率就显示了较好的结果。 - When multiple buffer pools are in use, the buffer pool snapshot data can be used to calculate the buffer pool hit ratio of each pool to indicate the effectiveness of each buffer pool.
当多个缓冲池同时在用时，缓冲池快照数据可用于计算每个缓冲池的命中率，来表示每个缓冲池的有效性。 - As a rule of thumb, you can increase the size of the buffer pools as long as you get a corresponding increase of the bufferpool hit ratio.
首要原则是，只要能够获取一个对应的缓冲池命中率增加，就可以增加缓冲池的大小。 - In general, it's desirable and recommended to have a high data hit ratio ( 80% or higher) and to have very high index hit ratio ( 90% or higher).
通常，推荐一个较高的数据命中率（80%或更高）和一个相当高的索引命中率（90%或更高），这也是最理想的。 - The cache hit ratio tells you the percentage of times you are performing a get versus the number of times that get misses.
缓存命中率表示执行get的次数与错过get的次数的百分比。 - Compare application hit ratio of buffer pools
比较缓冲池的应用程序命中率 - Bigger is still better, but at some point you'll experience diminishing returns as the buffer pool hit ratio moves to the98+% range.
越大当然越好，但是在某一点，当缓冲池命中率达到98+%时，会随内存的增加命中率反而下降。 - Take a new snapshot, and calculate the new bufferpool hit ratio as follows
获取新的快照，并计算新的缓冲池命中率，如下 - Obviously, with availability of physical memory on the database server, a high buffer pool hit ratio is always better for your database performance.
显然，随着数据库服务器上物理内存的使用，高缓冲池命中率对于您的数据库性能而言始终比较好。 - 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tricklefed）以及一个比以前更高的缓存命中率。 - 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。 - Where there is read activity against a database table, ensure that bufferpools are of an adequate size to provide a good hit ratio for data and index reads.
在进行数据库表的读活动的地方，请确保缓冲池的大小足够大以使数据和索引的读的命中率较高。 - If your system has a low buffer pool hit ratio, you can increase the buffer pool size further to achieve better application performance result.
如果您的系统具有较低的缓冲池命中率，您就可以通过增加缓冲池大小来进一步地取得更好的应用程序性能结果。 - Buffer pool hit ratio is very important to monitor.
缓冲池命中率对于监控非常重要。 - If necessary, you can separate data and index into two different buffer pools to help ensure a good index buffer pool hit ratio.
如果必要，可以将数据和索引分隔到两个不同的缓冲池中，以帮助确保一个良好的索引缓冲池命中率。 - Pay close attention to your overall buffer pool hit ratio.
密切关注您的总体缓冲池命中率。 - Use one buffer pool, but increase its size until the index hit ratio stops increasing.
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。 - 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。 - Another method of determining your caching effectiveness is to take a look at your cache hit ratio.
确定缓存效率的另一种方法是查看缓存的命中率（hitratio）。 - A desirable goal for your buffer pool hit ratio is80% or higher for data, and90% or higher for index.
您的缓冲池命中率的理想目标是数据80%或更高，索引90%或更高。 - As a result, compression allows more data to be in memory than without compression, which increases the buffer-pool hit ratio and makes higher utilization of the available memory.
因此，相比不压缩，压缩能让内存存储更多的数据，进而提高了缓冲池命中率和可用内存的利用率。 - Overall hit ratio for all protocol caches.
所有协议缓存的总体命中比率。 - Hit ratio is not the most scientific criteria for forecasting evaluation in comparison with correlation coefficient between the measured and forecasted silicon content.
相关系数及其检验是评价预测结果优劣的客观判据； - The experiment proves that the SCU-K algorithm has better performance in increasing cache space utilization rate and byte hit ratio, and reducing startup delay than LRU, LFU and LRU-2.
在与LRU，LFU和LRU-2算法的对比实验中，SCU-K算法在提高缓存空间利用率、字节命中率和降低启动延迟方面具有更好的性能。 - Compared with traditional LRU algorithms, the two algorithms improve hit ratio and response delay time.
同传统的LRU算法相比较，它们复杂度低在命中率和响应延时这两项性能指标上都有一定程度的提高，有效改善了系统的高性能和低功耗。