select u.gender as gender, count(distinct u.id) as dist_count, (count(distinct u.id)/5*100) as percentage from t1 u, t2 l where l.user_id = u.id group by u.gender;
gender dist_count percentage
F 3 60.00000
M 1 20.00000
F 3 60.0000
M 1 20.0000
select u.gender as gender, count(distinct u.id) as dist_count, (count(distinct u.id)/5*100) as percentage from t1 u, t2 l where l.user_id = u.id group by u.gender order by percentage;
gender dist_count percentage
M 1 20.00000
F 3 60.00000
M 1 20.0000
F 3 60.0000
drop table t1,t2;
CREATE TABLE t1 (ID1 int, ID2 int, ID int NOT NULL AUTO_INCREMENT,PRIMARY KEY(ID
select companynr,count(price) as "count",sum(price) as "sum" ,abs(sum(price)/count(price)-avg(price)) as "diff",(0+count(price))*companynr as func from t3 group by companynr;
companynr count sum diff func
37 12543 309394878010 0.0000 464091
...
...
@@ -1684,7 +1684,7 @@ companynr count sum diff func
512 4181 3288532102 0.0000 2140672
select companynr,sum(price)/count(price) as avg from t3 group by companynr having avg > 70000000 order by avg;
companynr avg
154 983543950.00
154 983543950.0000
select companynr,count(*) from t2 group by companynr order by 2 desc;
create table t2 (it1 tinyint, it2 tinyint not null, i int not null, ib bigint, f float, d double, y year, da date, dt datetime, sc char(10), sv varchar(10), b blob, tx text);
