我有2张桌子
表-A
id b_ref_id qty
52 9 13
53 10 20
54 11 25
表-B
id method date state
9 m1 28/07/16 confirmed
10 m1 29/07/16 done
11 m1 30/07/16 waiting
我的愿望输出
m1 today tomorrow day_after_tomorrow
waiting 13 0 0
confirmed 0 20 0
done 0 0 25
我尝试使用以下查询,但qty重复所有
select stock_p.method, stock_p.state,
(select sm.qty
from
table_a sm
join table_b spo on (sm.b_ref_id=spo.id)
where
to_char(spo.date,'YYYY-MM-DD')::date = current_date and ) today_qty,
(select sm.qty
from table_a sm
join table_b spo on (sm.b_ref_id=spo.id)
where
to_char(spo.date,'YYYY-MM-DD')::date = (current_date + 1) ) tomorrow_qty,
(select sm.qty
from table_a sm
join table_b spo on (sm.b_ref_id=spo.id)
where
to_char(spo.date,'YYYY-MM-DD')::date = (current_date + 2)) next_three_qty
这 table_a stock_m 在stock_m.b_ref_id = stock_p.id上加入table_b stock_p group by stock_p.method,stock_p.stateenter code here
答案 0 :(得分:1)
select
t1.method, t1.status,
sum ((t1.min_date = current_date or null)::int * sm.product_qty) as today,
sum ((t1.min_date = current_date + 1 or null)::int * sm.product_qty) as tomorrow,
sum ((t1.min_date = current_date + 2 or null)::int * sm.product_qty) as day_after_tomorrow
from
stock_move sm
inner join
table_1icking t1 on sm.picking_id = t1.id
group by t1.method, t1.status
;
method | status | today | tomorrow | day_after_tomorrow
--------+-----------+-------+----------+--------------------
m1 | waiting | | | 25
m1 | done | | 20 |
m1 | confirmed | 13 | |
由@a_horse评论使用9.4+使用filter
。数据:
create table stock_move (id int, picking_id int, product_qty int);
insert into stock_move (id, picking_id, product_qty) values
(52,9,13), (53,10,20), (54,11,25);
set datestyle = 'dmy';
create table table_1icking (id int, method text, min_date date, status text);
insert into table_1icking (id, method, min_date, status) values
(9,'m1','28/07/16','confirmed'),
(10,'m1','29/07/16','done'),
(11,'m1','30/07/16','waiting');