所以我的数据看起来像这样:
+-----------+---------+-------------+-------+-------------+--+
| time | Outlets | Meal_Period | cover | day_of_week | |
+-----------+---------+-------------+-------+-------------+--+
| 10/1/2013 | 72 | 1 | 0 | Tuesday | |
| 10/1/2013 | 72 | 2 | 31 | Tuesday | |
| 10/1/2013 | 72 | 3 | 116 | Tuesday | |
| 10/1/2013 | 72 | 6 | 32 | Tuesday | |
| 10/1/2013 | 187 | 17 | 121 | Tuesday | |
| 10/1/2013 | 187 | 18 | 214 | Tuesday | |
| 10/1/2013 | 187 | 19 | 204 | Tuesday | |
| 10/1/2013 | 101 | 2 | 0 | Tuesday | |
| 10/1/2013 | 101 | 3 | 0 | Tuesday | |
| 10/1/2013 | 101 | 4 | 0 | Tuesday | |
| 10/1/2013 | 101 | 6 | 0 | Tuesday | |
| 10/1/2013 | 282 | 1 | 17 | Tuesday | |
| 10/1/2013 | 282 | 2 | 207 | Tuesday | |
| 10/1/2013 | 282 | 3 | 340 | Tuesday | |
| 10/1/2013 | 282 | 6 | 4 | Tuesday | |
| 10/1/2013 | 103 | 1 | 0 | Tuesday | |
+-----------+---------+-------------+-------+-------------+--+
代码是:
IF OBJECT_ID('tempdb.dbo.#time') IS NOT NULL
DROP TABLE #time
SELECT DATEADD(dd, 0, DATEDIFF(DD, 0, open_dttime)) AS 'time'
,profit_center_id AS 'Outlets'
,meal_period_id AS 'Meal_Period'
,sum(num_covers) AS 'Number_Covers'
INTO #time
FROM [STOF_Infogen].[dbo].[Order_Header]
WHERE CasinoID = 'csg'
AND profit_center_id IN (
'102'
,'100'
,'283'
,'101'
,'282'
,'187'
,'280'
,'103'
,'281'
,'72'
,'183'
)
AND (
open_dttime BETWEEN '2014-02-01 06:30'
AND '2014-03-01 06:30'
)
GROUP BY profit_center_id
,open_dttime
,meal_period_id
ORDER BY profit_center_id
,meal_period_id
IF OBJECT_ID('tempdb.dbo.#time2') IS NOT NULL
DROP TABLE #time2
SELECT [TIME]
,Outlets AS 'Outlets'
,meal_period AS 'Meal_Period'
,SUM(number_covers) AS 'cover'
,DATENAME(DW, [time]) AS 'day_of_week'
INTO #time2
FROM #time
GROUP BY [TIME]
,Outlets
,Meal_Period
ORDER BY [TIME] ASC
,Outlets
,Meal_Period
SELECT *
FROM #time2
我为我的约会创建了临时删除表,但我有两个问题;
一如往常,任何帮助都会受到赞赏。
答案 0 :(得分:1)
制作一些测试数据:
DECLARE @MealInfo TABLE
(
MealTime DATETIME,
Outlets VARCHAR(10),
Meal_Period int,
Cover INT
)
INSERT INTO @MealInfo
VALUES
('10/1/2013', '72', 1, 0),
('10/1/2013', '72', 2, 31),
('10/1/2013', '72', 3, 116),
('10/1/2013', '72', 6, 32),
('10/1/2013', '187', 17, 121),
('10/1/2013', '187', 18, 214),
('10/1/2013', '187', 19, 204),
('10/1/2013', '101', 2, 0),
('10/1/2013', '101', 3, 0),
('10/1/2013', '101', 4, 0),
('10/1/2013', '101', 6, 0),
('10/1/2013', '282', 1, 17),
('10/1/2013', '282', 2, 207),
('10/1/2013', '282', 3, 340),
('10/1/2013', '282', 6, 4),
('10/1/2013', '103', 1, 0);
因为你想将187和282组合在一起,我会使用一个案例陈述将它们分成一个插座,然后我们可以在出口处分组以分清总和:
SELECT
m.MealTime,
m.Outlets,
m.Meal_Period,
SUM(m.Cover) AS Number_Covers
FROM
(
SELECT mi.MealTime,
(CASE WHEN mi.Outlets IN ('187', '282') THEN '187+282' ELSE mi.Outlets END) Outlets,
mi.Meal_Period,
mi.Cover
FROM @MealInfo mi
) m
GROUP BY m.MealTime, m.Outlets, m.Meal_Period
这是输出:
MealTime Outlets Meal_Period Number_Covers
2013-10-01 00:00:00.000 101 2 0
2013-10-01 00:00:00.000 101 3 0
2013-10-01 00:00:00.000 101 4 0
2013-10-01 00:00:00.000 101 6 0
2013-10-01 00:00:00.000 103 1 0
2013-10-01 00:00:00.000 187+282 1 17
2013-10-01 00:00:00.000 187+282 2 207
2013-10-01 00:00:00.000 187+282 3 340
2013-10-01 00:00:00.000 187+282 6 4
2013-10-01 00:00:00.000 187+282 17 121
2013-10-01 00:00:00.000 187+282 18 214
2013-10-01 00:00:00.000 187+282 19 204
2013-10-01 00:00:00.000 72 1 0
2013-10-01 00:00:00.000 72 2 31
2013-10-01 00:00:00.000 72 3 116
2013-10-01 00:00:00.000 72 6 32
如果您的数据具有187和282的重叠周期,则总和将包含两个部分到1列。