可以将一些预处理与数据预取相关联。
Some pre-processing may also be associated with the data prefetch.
PREFETCHSIZE指定在执行数据预取时将从表空间读取的页数。
PREFETCHSIZE specifies the number of pages to be read from the table space when data prefetching is being performed.
此外，简化视见体的可见性判断和数据预取策略，实现可见数据的动态管理。
In addition, dynamical management of terrain dataset in view field was implemented effectively by visible detection based on the simplified view frustum and terrain data prediction strategy.
反馈式数据预取优化技术是当前高性能计算技术中前沿的一种编译优化手段，可以很好地解决链式结构的预取问题。
Feedback directed data prefetching optimization has become one of the advanced compiler optimization techniques. it can do well in linked data prefetching.
异步读取比率如此小的原因是因为数据库中的表空间每个仅仅设置了一个容器，以致无法进行预取。
The reason why the asynchronous read ratio is so small is because the table Spaces in the database are set up with only one container each so that prefetching cannot take place.
该灵巧客户端会缓存再使用数据，异步预取需要的数据，延缓初始化直到需要对象为止（也叫做“载入缓慢”），等等。
This smart client caches reusable data, asynchronously prefetches data that will be needed, defers initialization until an object is needed (also called "lazy loading"), and so forth.
由于从数据库代理程序直接调度非预取I/O，因此非预取 I/O不受 NUM_IOSERVERS 约束。
Non-prefetch I/Os are scheduled directly from the database agents and as a result are not constrained by NUM_IOSERVERS.
用于数据库的I/O服务器（预取器）的数目可以使用 NUM_IOSERVERS 数据库配置参数进行配置。
The number of I/O servers (prefetchers) for a database can be configured using the NUM_IOSERVERS database configuration parameter.
数据库中的表空间仅仅配置了一个容器，以致无法进行预取。
The table spaces in the database are set up with only one container each so that prefetching cannot take place.
当数据库管理器确定顺序I/O是适当的，并且确定预取操作可能有助于提高性能时，会使用预取操作（通常是大型表扫描）。
Prefetching is used when the Database Manager determines that sequential I/O is appropriate and that prefetching can help to improve performance (typically large table scans).
这些Workers可用于预取数据或执行其他预先操作，从而提供一个更加实时的UI。
The Workers can be used to prefetch data or perform other ahead-of-time operations to provide a much more lively UI.
基于这些模板和参数，提出了两种智能预取算法以适应两类不同的数据查询需求。
Based on the query pattern and the real query parameters, it developed two intelligent prefetch algorithms to fit two kinds of demand in data query.
借助数据挖掘领域中序列模式挖掘的方法，提出了相应的预取算法。
The corresponding prefetching algorithm, which comes from the sequential pattern mining method in data mining area, is also raised.
当外部代理具有数据时，产生并发出预取指令。
When the external agent has data, it may create and issue a prefetch directive.
使用该算法避免了对同一引用实例或是位于同一数据块上不同记录的重复读取，并将对磁盘的随机读取方式转变为按列表预取的读取方式。
It can avoid reading the same reference instance and records in the same data block repeatedly. Meanwhile it can convert random reading disk into doing by table.
在此算法的基础上增加对数据更新率及大小的判断并对所选数据排序，然后进行预取数据的选择。
In this paper, this algorithm was based on the data update rate and it increased the size of the selected data to determine and sort, then made the choice of the prefetching data.
在此算法的基础上增加对数据更新率及大小的判断并对所选数据排序，然后进行预取数据的选择。
In this paper, this algorithm was based on the data update rate and it increased the size of the selected data to determine and sort, then made the choice of the prefetching data.
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