是否有专门的数据库- rdbms、nosql、key-value或其他数据库-针对在非常大的数据集上运行快速聚合查询或映射进行了优化:
select date, count(*)
from Sales
where [various combinations of filters]
group by date
到目前为止,我已经在MongoDB和SQL Server上运行了基准测试,但我想知道是否有更专业的解决方案,最好是可以水平扩展数据的解决方案。
#include <iostream>
using namespace std;
int main(void)
{
const int Map_x = 30, Map_y = 30;
for (int x = 0; x < Map_x; ++x)
cout << "■";
cout << endl;
for (int y = 0; y < Map_y; ++y)
{
for (int x = 0; x < Map_x; ++x)
考虑以下代码:
const __m256d a = /* get it in some way */;
const __m256d b = /* get it in some way */;
const __m256d c = /* calculate as a result of operations on a and b */;
const __m256d d = /* get it in some way */;
const __m256d e = /* get it in some way */;
const __m256d f = /* calculate as a result o