我有一个输出枢轴的SQL查询。
我想做的是向CONCAT
添加一个pivot
函数,但是出现以下错误:
'CONCAT'不是公认的聚合函数。
我当前的代码(会给出错误):
SELECT * FROM (
SELECT dateadd(minute,(datediff(minute,0,Time)/15)*15,0) Time, AREA, COUNT(BLOB) BLOBs, CARS
FROM
(SELECT BLOB, Time, CARS, DRIVER, [MK], AREA, Tier FROM (
SELECT [BLOB Nbr] BLOB, Time, CARS, [From PT], [To PT], [From PN], [To PN], DRIVER, [MK],
CASE AREA
WHEN '01' THEN '02' WHEN '03' THEN '02'
WHEN '05' THEN '06' WHEN '07' THEN '06'
WHEN '09' THEN '10' WHEN '11' THEN '10'
ELSE AREA END AREA,
Position, Tier
FROM (
SELECT [BLOB Nbr], T_IME Time, [C NAME] CARS, [From PT], [To PT], [From PN], [To PN], [C V] DRIVER, [MK],
CASE WHEN [From PT] = 'DRIVER' THEN LEFT(RIGHT([From PN],6),2) ELSE LEFT(RIGHT([To PN],6),2) END AREA,
CASE WHEN [From PT] = 'DRIVER' THEN LEFT(RIGHT([From PN],4),2) ELSE LEFT(RIGHT([To PN],4),2) END Position,
CASE WHEN [From PT] = 'DRIVER' THEN RIGHT([From PN],2) ELSE RIGHT([To PN],2) END Tier
FROM mytable c
WHERE ([From PT] = 'DRIVER' OR [To PT] = 'DRIVER')
) a ) b ) c
GROUP BY dateadd(minute,(datediff(minute,0,Time)/15)*15,0), AREA, CARS) src pivot(CONCAT(sum(BLOBs),CARs) for AREA in ([02],[06],[10])) piv;
如果我将第二行更改为(删除CARs
):
SELECT dateadd(minute,(datediff(minute,0,Time)/15)*15,0) Time, AREA, COUNT(BLOB) BLOBs
如果我将GROUP BY
更改为(删除CARs
和CONCAT
函数):
GROUP BY dateadd(minute,(datediff(minute,0,Time)/15)*15,0), AREA) src pivot(sum(BLOBs) for AREA in ([02],[06],[10])) piv;
它可以工作,但是我希望在结果中进行串联。
当前工作输出:
Time 02 06 10
2018-05-07 16:00:00.000 11 NULL NULL
2018-05-07 16:15:00.000 2 7 NULL
2018-05-07 16:30:00.000 NULL 8 NULL
2018-05-07 16:45:00.000 9 NULL NULL
2018-05-07 17:00:00.000 9 NULL 8
预期的输出(使用CONCAT
):
Time 02 06 10
2018-05-07 16:00:00.000 BMW11 NULL NULL
2018-05-07 16:15:00.000 BMW2 KIA7 NULL
2018-05-07 16:30:00.000 NULL KIA8 NULL
2018-05-07 16:45:00.000 BMW9 NULL NULL
2018-05-07 17:00:00.000 BMW9 NULL FIAT8
从查询中抽样数据,不包含PIVOT
:
Time AREA BLOBs CARs
2018-05-07 16:00:00.000 02 11 BMW
2018-05-07 16:15:00.000 02 2 BMW
2018-05-07 16:15:00.000 06 7 KIA
2018-05-07 16:30:00.000 06 8 KIA
2018-05-07 16:45:00.000 02 9 BMW
2018-05-07 17:00:00.000 02 9 BMW
2018-05-07 17:00:00.000 10 8 FIAT
表中的原始样本数据:
答案 0 :(得分:1)
您可以在下面尝试-您需要在数据透视表中使用聚合函数,因此您可以使用max(CONCAT(sum(BLOBs),CARs))
SELECT * FROM (
SELECT dateadd(minute,(datediff(minute,0,Time)/15)*15,0) Time, AREA, COUNT(BLOB) BLOBs, CARS
FROM
(SELECT BLOB, Time, CARS, DRIVER, [MK], AREA, Tier FROM (
SELECT [BLOB Nbr] BLOB, Time, CARS, [From PT], [To PT], [From PN], [To PN], DRIVER, [MK],
CASE AREA
WHEN '01' THEN '02' WHEN '03' THEN '02'
WHEN '05' THEN '06' WHEN '07' THEN '06'
WHEN '09' THEN '10' WHEN '11' THEN '10'
ELSE AREA END AREA,
Position, Tier
FROM (
SELECT [BLOB Nbr], T_IME Time, [C NAME] CARS, [From PT], [To PT], [From PN], [To PN], [C V] DRIVER, [MK],
CASE WHEN [From PT] = 'DRIVER' THEN LEFT(RIGHT([From PN],6),2) ELSE LEFT(RIGHT([To PN],6),2) END AREA,
CASE WHEN [From PT] = 'DRIVER' THEN LEFT(RIGHT([From PN],4),2) ELSE LEFT(RIGHT([To PN],4),2) END Position,
CASE WHEN [From PT] = 'DRIVER' THEN RIGHT([From PN],2) ELSE RIGHT([To PN],2) END Tier
FROM mytable c
WHERE ([From PT] = 'DRIVER' OR [To PT] = 'DRIVER')
) a ) b ) c
GROUP BY dateadd(minute,(datediff(minute,0,Time)/15)*15,0), AREA, CARS) src pivot(max(CONCAT(sum(BLOBs),CARs)) for AREA in ([02],[06],[10])) piv;
答案 1 :(得分:1)
尝试一下
CREATE TABLE #PIVOT (Time DATETIME, AREA INT, BLOBs INT, CARs VARChar (10))
insert into #PIVOT values
('2018-05-07 16:00:00.000', 02, 11 ,'BMW')
,('2018-05-07 16:15:00.000', 02, 2 ,'BMW')
,('2018-05-07 16:15:00.000', 06, 7 ,'KIA')
,('2018-05-07 16:30:00.000', 06, 8 ,'KIA')
,('2018-05-07 16:45:00.000', 02, 9 ,'BMW')
,('2018-05-07 17:00:00.000', 02, 9 ,'BMW')
,('2018-05-07 17:00:00.000', 10, 8 ,'FIA')
select
Time, CARs + convert (varchar (10), [02]) [02]
, CARs + convert (varchar (10), [06]) [06], CARs + convert (varchar (10), [10]) [10]
from (
select
*
from #PIVOT
) p
pivot
(
max (BLOBs) for area in ([02],[06], [10])
) t
Time 02 06 10
2018-05-07 16:00:00.000 BMW11 NULL NULL
2018-05-07 16:15:00.000 BMW2 NULL NULL
2018-05-07 16:45:00.000 BMW9 NULL NULL
2018-05-07 17:00:00.000 BMW9 NULL NULL
2018-05-07 17:00:00.000 NULL NULL FIA8
2018-05-07 16:15:00.000 NULL KIA7 NULL
2018-05-07 16:30:00.000 NULL KIA8 NULL
让我为动态查询工作。