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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.
访问操作系统提供的内存地址要比读取(物理内存中的)常驻地址慢很多,因为必须硬盘驱动器加载它。
Accessing a memory address that has been swapped is a lot slower than reading a resident (in physical memory) address because it must be loaded from the hard drive.
在具有有限物理内存的系统上,一个完整的垃圾收集在垃圾收集过程中可能会错误地将非常驻页面放到内存中来进行检查。
On systems with limited physical memory, a full garbage collection may fault nonresident pages into memory to examine them during the collection process.
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