... 让火狐狸更快速 FIREFORX 更快速的性能 Faster Performance 更喜欢快速周转 Prefer Quick Turnaround ...
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这个例程可以在原始数据的样本上运行以获得更快速的性能。
This routine can be run on a sample of the original data for faster performance.
为了使索引发挥最优性能,索引应该位于以10,000 R PM或者更快速度旋转的非系统硬盘上。
For maximum indexing performance, the index should reside on a nonsystem disk that rotates at 10,000 RPM or greater.
切分的好处(如分区一样)在于它可以压缩大型数据:单独的数据表在每个切分中相对较小,这样就可以支持更快速的读写速度,从而提高性能。
The benefit of sharding (like partitioning) is that it compacts big data: individual tables are smaller in each shard, which allows for faster reads and writes, which increases performance.
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