额外的 CPU、二级缓存量和内存,在特定用户负载下可提供更好的容量和响应时间。
The additional CPUs, amount of level two cache, and memory provided better capacity and response time at specific user loads.
这个二级对象会在程序需要的时候才创建,这样就会降低大多数一般情况下的内存占用。
This secondary object is created on an as-needed basis, thus reducing the memory footprint for the most common scenarios.
HANA应用了常驻内存、数据源无关的计算引擎,要处理的数据存放在RAM中,而不是从二级存储设备中获取,这样提供了性能的提升。
HANA employs an in-memory, data source agnostic computing engine, where data to be processed is held in RAM instead of reading from secondary storage devices thus providing a performance boost.
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