11. Infobright VS 传统存储
分组聚合查询
select sql_no_cache max(k_s) from select_ib_3 group by url ;
数据行数 Infobright MyISAM
一百万 0.39s 5.04s
一千万 3.68s 53.34s
六千万 23.24s 5min 42s
一亿两千万 45.98s 11min 8s
Where限定查询
select sql_no_cache count(1) from select_ib_4 where url=‘www.actionsky.com ;
数据行数 Infobright MyISAM
一百万 0.19s 0.49s
一千万 0.62s 3.61s
六千万 1.23s 23.75s
一亿两千万 4.55s 47.29s
Copyright 2010 Action Tech 11
12. Infobright VS 传统存储
日期筛选和分组
select sql_no_cache * from select_ib_2 where
date <1299145600 and date >1288540800 group by url;
数据行数 Infobright MyISAM
一百万 1.27s 1.58s
一千万 4.59s 17.82s
六千万 22.44s 1 min 55.74s
一亿两千万 44.99s 3 min 55.48s
报表归并汇总语句
insert into tmp select k,url,max(num,sum(k_s),date
from select_im_2_ind group by k, url order by null;
数据行数 Infobright MyISAM
一百万 7.35s 59.95s
一千万 2min 15s 17min 48s
六千万 11min 38s 1h 55min13s
一亿两千万 23min 47s 3h 37min 49s
Copyright 2010 Action Tech 12