К сожалению, mysql не предлагает аналитических функций, таких как oracle, mssql и postgres.Таким образом, вы должны поиграть с переменными, чтобы достичь своей цели.
create table mytest (
id int not null auto_increment primary key,
fid int,
price decimal(4,2),
fdate date
) engine = myisam;
insert into mytest (fid,price,fdate)
values
(1,1.23,'2011-08-11'),
(1,1.43,'2011-08-12'),
(1,1.54,'2011-08-13'),
(1,1.29,'2011-08-14'),
(1,1.60,'2011-08-15'),
(1,1.80,'2011-08-16');
select
concat_ws('/',min(fdate),max(fdate)) as rng,
format(avg(price),2) as average from (
select *,@riga:=@riga+1 as riga
from mytest,(select @riga:=0) as r order by fdate
) as t
group by ceil(riga/3);
+-----------------------+---------+
| rng | average |
+-----------------------+---------+
| 2011-08-11/2011-08-13 | 1.40 |
| 2011-08-14/2011-08-16 | 1.56 |
+-----------------------+---------+
2 rows in set (0.02 sec)