大家好,我有一个库存库存表,其列如下
Item_ID | Expiry_Date | Quantity | Rate
cB0001 | 01-18-2021 | 5 | 150
cB0001 | 12-08-2020 | 3 | 145
cB0001 | 02-15-2021 | 25 | 155
注意:价格不是问题,我只是想根据有效期限和可用数量更新库存表数量。
现在,我想从最先过期的库存中向cb0001数量为10的客户出售库存。现在的问题是,销售数量为10,我要减去到期日01-18-2021的数量5和3从到期日12-08-2020的数量和2从02-15-2021的数量。基本上我想使用一个查询实现FIFO逻辑。我想使用此
更新库存表数量update stock set quantity = quantity - '10' where item_id = 'cB0001' and expiry_Date < Now()
但是这不能给出准确的结果。如何解决这个问题?你有什么主意吗?
希望您能理解我的问题
我假设您打算在触发器中执行此操作。因此,“诀窍”是在完成销售时制定出解决方案(解决是否可以达成销售是另一个问题)。为此,将值0分配给累计数量小于销售数量的行,将1分配给最终可以完全满足销售条件的行,之后分配2。我假设有一个唯一的行标识符可以处理同一日期的多个库存条目-在我的情况下为stock.id
drop table if exists inventory,sales;
create table inventory
(id int auto_increment primary key,Item_ID varchar(20), Expiry_Date date, Quantity int, Rate int);
create table sales (item_id varchar(20), quantity int);
insert into inventory values
( null,'cB0001' , str_to_date('01-18-2021','%m-%d-%Y'), 5 , 150),
( null,'cB0001' , str_to_date('12-08-2020','%m-%d-%Y'), 3 , 145),
( null,'cB0001' , str_to_date('02-15-2021','%m-%d-%Y'), 25 , 155),
( null,'cB0001' , str_to_date('02-15-2021','%m-%d-%Y'), 10 , 155),
( null,'cB0001' , str_to_date('02-15-2021','%m-%d-%Y'), 10 , 155),
( null,'cB0001' , str_to_date('02-15-2021','%m-%d-%Y'), 10 , 155),
( null,'cB0002' , str_to_date('02-15-2021','%m-%d-%Y'), 30 , 155);
drop trigger if exists t;
delimiter $$
create trigger t after insert on sales
for each row
begin
update inventory left join
(select s.*,
if(fst = 0, @runqty:=@runqty+quantity,@runqty:=@runqty) qty
from
(
select *,
@t:=@t+quantity cumqty,
if(@t>=@sale,if(@p>=1,2,@p:=1),@p:=0) fst
from inventory
cross join (select @t:=0,@p:=0,@sale:=new.quantity) t
where quantity > 0 and item_id = new.item_id
order by item_id,expiry_date
) s
cross join (select @runqty:=0) r
where fst in (0,1)
) a
on a.id = inventory.id
set inventory.quantity = case when fst = 0 then 0
when fst = 1 then inventory.quantity - (new.quantity - a.qty)
else inventory.quantity
end;
end $$
delimiter ;
MariaDB [sandbox]> insert into sales values('cb0001',10);
Query OK, 1 row affected (0.095 sec)
MariaDB [sandbox]> select * from inventory order by item_id,expiry_date;
+----+---------+-------------+----------+------+
| id | Item_ID | Expiry_Date | Quantity | Rate |
+----+---------+-------------+----------+------+
| 2 | cB0001 | 2020-12-08 | 0 | 145 |
| 1 | cB0001 | 2021-01-18 | 0 | 150 |
| 3 | cB0001 | 2021-02-15 | 23 | 155 |
| 4 | cB0001 | 2021-02-15 | 10 | 155 |
| 5 | cB0001 | 2021-02-15 | 10 | 155 |
| 6 | cB0001 | 2021-02-15 | 10 | 155 |
| 7 | cB0002 | 2021-02-15 | 30 | 155 |
+----+---------+-------------+----------+------+
7 rows in set (0.001 sec)
MariaDB [sandbox]>
MariaDB [sandbox]> insert into sales values('cb0001',25);
Query OK, 1 row affected (0.111 sec)
MariaDB [sandbox]>
MariaDB [sandbox]> select * from inventory order by item_id,expiry_date;
+----+---------+-------------+----------+------+
| id | Item_ID | Expiry_Date | Quantity | Rate |
+----+---------+-------------+----------+------+
| 2 | cB0001 | 2020-12-08 | 0 | 145 |
| 1 | cB0001 | 2021-01-18 | 0 | 150 |
| 3 | cB0001 | 2021-02-15 | 0 | 155 |
| 4 | cB0001 | 2021-02-15 | 8 | 155 |
| 5 | cB0001 | 2021-02-15 | 10 | 155 |
| 6 | cB0001 | 2021-02-15 | 10 | 155 |
| 7 | cB0002 | 2021-02-15 | 30 | 155 |
+----+---------+-------------+----------+------+
7 rows in set (0.001 sec)