此表是我的真实表的简单示例,其中包含出口商,产品,标记,托盘,数量等。
但是我认为这张桌子最容易引起我的麻烦。
+----+--------+----------+----------+----------+------------+
| Id | Seller | Products | Marks | Quantity | Date |
+----+--------+----------+----------+----------+------------+
| 01 | John | Watch | Apple | 5 | 2017-01-01 |
| 02 | Peter | Mouse | Apple | 21 | 2017-01-01 |
| 02 | Peter | Mouse | Logitech | 10 | 2017-01-02 |
| 01 | John | Mouse | Logitech | 15 | 2017-01-03 |
| 02 | Peter | Keyboard | Logitech | 11 | 2017-01-05 |
| 01 | John | Keyboard | Apple | 10 | 2017-01-06 |
| 02 | Peter | Keyboard | Apple | 14 | 2017-01-06 |
| 01 | John | Keyboard | Logitech | 12 | 2017-01-06 |
| 01 | John | Keyboard | Apple | 17 | 2017-01-07 |
| 01 | John | Mouse | Logitech | 13 | 2017-01-08 |
| 01 | John | Watch | Apple | 6 | 2017-01-09 |
| . | . | . | . | . | . |
| 01 | Peter | Mouse | Logitech | 5 | 2018-01-01 |
| 02 | Steve | Keyboard | Apple | 7 | 2018-01-03 |
| 02 | Peter | Watch | Apple | 8 | 2018-01-03 |
| 01 | John | Mouse | Logitech | 6 | 2018-01-04 |
| 02 | Peter | Watch | Samsung | 9 | 2018-01-04 |
| 01 | John | Keyboard | Apple | 18 | 2018-01-08 |
| 01 | John | Watch | Apple | 7 | 2018-01-08 |
| 02 | Peter | Phone | Xiaomi | 19 | 2018-01-08 |
| 01 | John | Keyboard | Logitech | 15 | 2018-01-06 |
| 01 | Peter | TV | Samsung | 20 | 2018-01-07 |
| 01 | Steve | Display | LG | 11 | 2018-01-08 |
| 01 | John | Display | Samsung | 14 | 2018-01-08 |
| . | . | . | . | . | . |
+----+--------+----------+----------+----------+------------+
我需要在同一张表中比较两个期间(例如2018年1月与2017年1月),以使卖方知道销售结果。
像这样...
+----+--------+----------+----------+------------+------------+-----------+
| Id | Seller | Products | Marks | Total 2017 | Total 2018 | Diference |
+----+--------+----------+----------+------------+------------+-----------+
| 01 | John | Watch | Apple | 11 | 7 | -4 |
| 01 | John | Mouse | Logitech | 28 | 6 | -22 |
| 01 | John | Keyboard | Apple | 17 | 18 | 1 |
| 01 | John | Keyboard | Logitech | 12 | 15 | 3 |
| 01 | John | Display | Samsung | 0 | 14 | 14 |
| 02 | Peter | Mouse | Apple | 21 | 0 | -21 |
| 02 | Peter | Mouse | Logitech | 10 | 5 | -5 |
| 02 | Peter | Keyboard | Logitech | 11 | 0 | -11 |
| . | . | . | . | . | . | . |
| . | . | . | . | . | . | . |
| . | . | . | . | . | . | . |
+----+--------+----------+----------+------------+------------+-----------+
我已经尝试使用这些查询,但是我得到了重复的值,并且卖方显示不正确。
SELECT *, (Q1 - Q2) AS Diference
FROM
(SELECT Id, Seller, Products, Marks, SUM(Quantity) AS Q1
WHERE Date >= '2018-01-01' AND Date <= '2018-01-31' AND Seller IS NOT NULL
GROUP BY Id, Marks, Products) AS A
INNER JOIN
(SELECT Id AS Id2, Seller, Products, Marks, SUM(Quantity) AS Q2
WHERE Date >= '2017-01-01' AND Date <= '2017-01-31' AND Seller IS NOT NULL
GROUP BY Id, Marks, Products) AS B
ON A.Id = B.Id2
SELECT *, (Q1 - Q2) AS Diference,
(CASE
WHEN Id IS NULL THEN Id2
ELSE Id
END) AS Id3,
(CASE
WHEN Id IS NULL THEN Seller2
ELSE Seller
END) AS Seller3
FROM
(SELECT Id, Seller, Products, Marks, SUM(Quantity) AS Q1
WHERE Date >= '2018-01-01' AND Date <= '2018-01-31' AND Seller IS NOT NULL
GROUP BY Id, Marks, Products) AS A
INNER JOIN
(SELECT Id AS Id2, Seller AS Seller2, Products AS Products2, Marks, SUM(Quantity) AS Q2
WHERE Date >= '2017-01-01' AND Date <= '2017-01-31' AND Seller IS NOT NULL
GROUP BY Id, Marks, Products) AS B
ON A.Id = B.Id2
一些帮助将不胜枚举。
谢谢。
答案 0 :(得分:0)
只需使用条件聚合:
select Id, Seller, Products, Marks,
sum(case when year(date) = 2017 then quantity end) as quantity_2017,
sum(case when year(date) = 2018 then quantity end) as quantity_2018,
(sum(case when year(date) = 2018 then quantity end) -
sum(case when year(date) = 2017 then quantity end)
) as diff
from realtable
group by Id, Seller, Products, Marks;
答案 1 :(得分:0)
最后,效果很好!
感谢Gordon Linoff!
SELECT ex.id_exportador,
exp.exportador,
ex.id_producto, pd.producto,
SUM((CASE WHEN (s.fechasalida >= $P{fechaInicial} AND s.fechasalida <= $P{fechaFinal}) THEN val.bultos ELSE 0 END)) AS b1,
SUM((CASE WHEN (s.fechasalida >= $P{anteriorInicial} AND s.fechasalida <= $P{anteriorFinal}) THEN val.bultos ELSE 0 END)) AS b2,
SUM((CASE WHEN (s.fechasalida >= $P{fechaInicial} AND s.fechasalida <= $P{fechaFinal}) THEN val.kg_brutos ELSE 0 END)) AS kgb1,
SUM((CASE WHEN (s.fechasalida >= $P{anteriorInicial} AND s.fechasalida <= $P{anteriorFinal}) THEN val.kg_brutos ELSE 0 END)) AS kgb2,
SUM((CASE WHEN (s.fechasalida >= $P{fechaInicial} AND s.fechasalida <= $P{fechaFinal}) THEN val.kg_netos ELSE 0 END)) AS kgn1,
SUM((CASE WHEN (s.fechasalida >= $P{anteriorInicial} AND s.fechasalida <= $P{anteriorFinal}) THEN val.kg_netos ELSE 0 END)) AS kgn2,
SUM((CASE WHEN (s.fechasalida >= $P{fechaInicial} AND s.fechasalida <= $P{fechaFinal}) THEN val.palets ELSE 0 END)) AS pal1,
SUM((CASE WHEN (s.fechasalida >= $P{anteriorInicial} AND s.fechasalida <= $P{anteriorFinal}) THEN val.palets ELSE 0 END)) AS pal2,
SUM((CASE WHEN (s.fechasalida >= $P{fechaInicial} AND s.fechasalida <= $P{fechaFinal}) THEN val.europalets ELSE 0 END)) AS epal1,
SUM((CASE WHEN (s.fechasalida >= $P{anteriorInicial} AND s.fechasalida <= $P{anteriorFinal}) THEN val.europalets ELSE 0 END)) AS epal2
FROM servicios s
LEFT JOIN expedientes ex
ON s.codservicio = ex.codservicio
LEFT JOIN exportadores exp
ON ex.id_exportador = exp.id_exportador
LEFT JOIN vales val
ON ex.id_expediente = val.id_expediente
LEFT JOIN productos pd
ON ex.id_producto = pd.id_producto
WHERE ((s.fechasalida >= $P{fechaInicial} AND s.fechasalida <= $P{fechaFinal}) OR (s.fechasalida >= $P{anteriorInicial} AND s.fechasalida <= $P{anteriorFinal})) AND ex.id_exportador IS NOT NULL
GROUP BY ex.id_exportador, ex.id_producto