我正在尝试根据fifo_cost
和fifo_in_date
之间的差异将正确的order_date
分配给给定订单:fifo_cost
与order_date
之间的最小差异相关联{1}}和fifo_date_in
应该分配给该订单。
以下mysql代码段不会返回任何记录。我希望它能够返回fifo_date_in
最接近order_date
的那条记录,但显然我错过了一些东西。
drop table if exists tmp;
create table tmp (
order_sequence int,
order_number int,
order_date date,
fifo_date_in date,
fifo_cost float);
INSERT INTO tmp (order_sequence, order_number, order_date, fifo_date_in, fifo_cost) VALUES (5613, 561, '2013-01-02','2009-01-01',1.55);
INSERT INTO tmp (order_sequence, order_number, order_date, fifo_date_in, fifo_cost) VALUES (5613, 561, '2013-01-02','2009-02-01',2.55);
INSERT INTO tmp (order_sequence, order_number, order_date, fifo_date_in, fifo_cost) VALUES (5613, 561, '2013-01-02','2009-03-01',3.55);
INSERT INTO tmp (order_sequence, order_number, order_date, fifo_date_in, fifo_cost) VALUES (5613, 561, '2013-01-02','2009-04-01',4.55);
INSERT INTO tmp (order_sequence, order_number, order_date, fifo_date_in, fifo_cost) VALUES (5613, 561, '2013-01-02','2009-05-01',5.55);
SELECT
order_sequence, order_number, order_date, fifo_date_in, fifo_cost, datediff(order_date,fifo_date_in) as ddiff
FROM tmp
GROUP BY order_sequence, order_number, order_date
HAVING datediff(order_date,fifo_date_in) = min(datediff(order_date,fifo_date_in))
答案 0 :(得分:3)
如果你想得到这笔费用,我想你必须找到min并加入回到基表:
SELECT t.order_sequence, t.order_number, t.order_date, t.fifo_date_in, t.fifo_cost
FROM tmp t
INNER JOIN ( SELECT order_sequence, order_number, order_date
,MIN(datediff(order_date,fifo_date_in)) as ddiff
FROM tmp
GROUP BY order_sequence, order_number, order_date
) m
ON (m.order_sequence = t.order_sequence
AND m.order_number = t.order_number
AND m.order_date = t.order_date
AND datediff(t.order_date, t.fifo_date_in) = m.ddiff)
此外,如果最接近可能意味着在之前或之后,您可能必须考虑绝对值。
答案 1 :(得分:0)
您的查询存在问题。
您要做的是选择中的MIN(datediff(order_date,fifo_date_in)) as ddiff
,它会找到差异的最低值。然后,您可以使用group by
对结果进行分组。从以前的评论中抓取我的评论,你的group by
实际上是正确的:
drop table if exists tmp;
create table tmp (
order_sequence int,
order_number int,
order_date date,
fifo_date_in date,
fifo_cost float);
INSERT INTO tmp (order_sequence, order_number, order_date, fifo_date_in, fifo_cost) VALUES (5613, 561, '2013-01-02','2009-01-01',1.55);
INSERT INTO tmp (order_sequence, order_number, order_date, fifo_date_in, fifo_cost) VALUES (5613, 561, '2013-01-02','2009-02-01',2.55);
INSERT INTO tmp (order_sequence, order_number, order_date, fifo_date_in, fifo_cost) VALUES (5613, 561, '2013-01-02','2009-03-01',3.55);
INSERT INTO tmp (order_sequence, order_number, order_date, fifo_date_in, fifo_cost) VALUES (5613, 561, '2013-01-02','2009-04-01',4.55);
INSERT INTO tmp (order_sequence, order_number, order_date, fifo_date_in, fifo_cost) VALUES (5613, 561, '2013-01-02','2009-05-01',5.55);
SELECT
order_sequence, order_number, order_date, fifo_date_in, fifo_cost, MIN(datediff(order_date,fifo_date_in)) as ddiff
FROM tmp
GROUP BY order_sequence, order_number, order_date
答案 2 :(得分:0)
您可以使用ORDER BY和LIMIT,并省略GROUP BY:
SELECT
order_sequence, order_number, order_date, fifo_date_in, fifo_cost, datediff(order_date,fifo_date_in) as ddiff
FROM tmp
ORDER BY ddiff
LIMIT 1