对表拆分几种方法比较

select userid/100000 as table1,count(1) from product_info group by userid/100000
9    18167368
2    7140316
6    31814659
5    24005210
0    3671600
7    10783200
8    8842812
4    11629923
3    4940024
1    5719535
10    9811797
--结果不均匀
select right(userid,1) as table1,count(1) from product_info group by right(userid,1) 1 14022271 0 14478542 9 13021378 7 14907917 6 14771805 8 13261945 2 13118075 5 12581792 3 13034306 4 13328413 select (userid%10) as table1,count(1) from product_info group by (userid%10) 7 14907917 8 13261945 0 14478542 3 13034306 1 14013992 4 13328413 -1 8279 6 14771805 5 12581792 9 13021378 2 13118075 select (userid%20) as table1,count(1) from product_info group by (userid%20) 19 6826655 17 6879335 9 6194723 2 6558178 0 7239936 15 7043968 13 5967309 6 7847672 5 5537824 16 6924133 14 6003895 3 7066997 12 6559897 1 7452838 10 7238606 7 8028582 8 6896273 18 6365672 4 7324518 11 6561154 -1 8279 userid%10效率远高于right(userid,1),前者8秒,后者8分钟
原文地址:https://www.cnblogs.com/davidhou/p/4788960.html