(注意，这个系统的页大小为4K，因此一个8页的预读取为32 K)。
Note that page size on this system was 4 K, so an eight-page read-ahead was 32 K.
这个修改为使用NFSversion2软件挂载的文件系统设置预读取块的数量。
This change sets the number of read-ahead blocks that are read for file systems mounted using NFS version 2 software.
UPDATE_NOTE操作确实因此而延迟一些，但有趣的是，这个模式不会随着预读取值的增加而延迟得更多。
UPDATE_NOTE operations did suffer some additional latency but, interestingly enough, this pattern did not increase with higher read-ahead values.
结果表明OPEN_COLLECTION性能得到显著提升，并且预读取值越高性能改善越大，尽管这可能会增加UPDATE_NOTE时间。
It was found that OPEN_COLLECTION performance improved significantly and continued to obtain gains from higher read-ahead values, though there appeared to be a cost to the UPDATE_NOTE times.
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.
在读取方面使用中间内核缓冲区，可以允许内核缓冲区在应用程序不需要内核缓冲区内的全部数据时，充当 “预读高速缓存（readahead cache）” 的角色。
Using the intermediate buffer on the read side allows the kernel buffer to act as a "readahead cache" when the application hasn't asked for as much data as the kernel buffer holds.
这是通过映像内包含的 “激活代码”实现的，它可以读取输入参数、将这些参数映射到不同的预配置的配置文件并进行重新配置。
This is accomplished through “activation code” included within the image that reads input parameters, maps these parameters to different pre-configured profiles, and performs reconfiguration.
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.
预抓取到缓冲池，但从未读取的页面数量。
Number of pages prefetched into the buffer pool, but never read.
所述信息可以高于读取激光波长所允许的理论 读取分辨率的分辨率（尺寸和间距）预记录在基片上。
The information can be pre-recorded in the substrate with a resolution (dimensions and spacing) higher than the theoretical reading resolution allowed by the wavelength of the reading laser.
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.
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.
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