Data source statement cache size specifies the number of prepared JDBC statements that can be cached per connection.
数据源语句缓存大小指定每次连接可以缓存的经过准备的jdbc语句的数量。
Due to low memory conditions or administrative modification of the cache size via the admin console, the cache might (temporarily) be configured such that it never caches data at all.
由于低内存条件和通过管理控制台进行了缓存大小的管理修改，因此可能将缓存配置(暂时)为完全不缓存数据。
The data source statement cache size can be tuned using a few different methods.
可以使用一些不同的方法来调优数据库语句缓存大小。
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。
Although recently used steps data is cached in memory, the cache has a limited size and, in many cases, the required information will need to be retrieved from the database.
尽管最近使用的步骤数据被缓存在内存中，但内存的大小通常不够宽裕，因此需要从数据库获取所需的信息。
8K stripe size RA-WT (write ahead/write-through) cache (C: for OS; D: for Utils; E: for Scanmail quarantine; F: for Domino files and data)
8Kstripesize RA-WT (writeahead/write-through)缓存（C：用于OS；D：用于实用程序；E：用于Scanmail 隔离；F：用于Domino文件和数据）
Looking back at the chart in Figure 11, before tuning the data source statement cache size, the number of statements discarded was over 1.7 million.
回过头来看图9中的表，在调优数据源语句缓存大小之前，被丢弃的语句的数量超过170万条。
The statement cache size can be configured by navigating to Resources => JDBC => Data sources => data_source => WebSphere Application Server data source properties.
要配置语句缓存大小，可以导航到Resources =>JDBC =>Datasources => data_source =>WebSphereApplicationServerdatasourceproperties。
However, since it does not take account of the data update rate and data size, cache invalidation often takes place.
但由于没考虑到数据的更新率及数据大小，将会经常发生缓存失效。
There are some limits to the total amount of data you can add to the data cache in a document, and to the size of any individual object in the data cache.
对于可添加到文档中的数据缓存的总数据量以及数据缓存中任何单个对象的大小，有一些限制。
The pattern of data using in an application is variable. When the quantity of data updating is large, cache with fixed size will lead to the sharp decrement of application performance.
但应用系统使用数据的情形是动态变化的，特别当数据更改数量大时，固定缓存会使应用系统的性能急剧下降。
The pattern of data using in an application is variable. When the quantity of data updating is large, cache with fixed size will lead to the sharp decrement of application performance.
但应用系统使用数据的情形是动态变化的，特别当数据更改数量大时，固定缓存会使应用系统的性能急剧下降。
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