我正在创建一个像这样的数据透视表:
MONTH A B C D E
01 NULL NULL 11.600 NULL NULL
01 11.600 NULL NULL NULL NULL
02 NULL NULL 6.000 NULL NULL
03 NULL NULL 14.667 NULL NULL
当我在查询中使用分组依据时，表会发生如下变化:
MONTH A B C D E
01 NULL NULL 11.600 NULL NULL
02 NULL NULL 6.000 NULL NULL
03 NULL NULL 14.667 NULL NULL
这是我正在寻找的表格:
MONTH A B C D E
01 11.600 NULL 11.600 NULL NULL
02 NULL NULL 6.000 NULL NULL
03 NULL NULL 14.667 NULL NULL
这是我的查询:
SELECT
DISTINCT MONTH ,
CASE WHEN Cabang.ID_Cabang = "C001" THEN PWT END AS A,
CASE WHEN Cabang.ID_Cabang = "C002" THEN PWT END AS B,
CASE WHEN Cabang.ID_Cabang = "C003" THEN PWT END AS C,
CASE WHEN Cabang.ID_Cabang = "C004" THEN PWT END AS D,
CASE WHEN Cabang.ID_Cabang = "C005" THEN PWT END AS E
FROM `keyperformanceindicator`
INNER JOIN pilot ON keyperformanceindicator.ID_Pilot = pilot.ID_Pilot
INNER JOIN cabang ON keyperformanceindicator.ID_Cabang = cabang.ID_Cabang
INNER JOIN
(
SELECT
DATE_FORMAT( PilotStationDate, '%m' ) AS MONTH ,
FORMAT( SUM(`PilotWaitingTime`) / COUNT('PilotStationDate'), 3 ) AS PWT,
COUNT( 'PilotStationDate' ) AS jumlah
FROM keyperformanceindicator
INNER JOIN pilot ON keyperformanceindicator.ID_Pilot = pilot.ID_Pilot
GROUP BY DATE_FORMAT( PilotStationDate, '%m' )
)x ON DATE_FORMAT( PilotStationDate, '%m' ) = x.Month
GROUP BY DATE_FORMAT(PilotStationDate, '%m')
ORDER BY UNIX_TIMESTAMP( CONCAT_WS( '', PilotStationDate, ' ', PilotStationTime ) ) ASC
最后。如何将 NULL 更改为 0？
请帮忙，谢谢
最佳答案
使用 Coalesce 函数与 case 将 null 值更改为 0。
Coalesce ((CASE WHEN Cabang.ID_Cabang = "C001" THEN PWT END),0) AS A,
Coalesce ((CASE WHEN Cabang.ID_Cabang = "C002" THEN PWT END),0) AS B,
Coalesce ((CASE WHEN Cabang.ID_Cabang = "C003" THEN PWT END),0) AS C,
Coalesce ((CASE WHEN Cabang.ID_Cabang = "C004" THEN PWT END),0) AS D,
Coalesce ((CASE WHEN Cabang.ID_Cabang = "C005" THEN PWT END),0) AS E
更新的查询:
SELECT
MONTH ,
coalesce((max(CASE WHEN Cabang.ID_Cabang = "C001" THEN PWT END)),0) AS A,
coalesce((max(CASE WHEN Cabang.ID_Cabang = "C002" THEN PWT END)),0) AS B,
coalesce((max(CASE WHEN Cabang.ID_Cabang = "C003" THEN PWT END)),0) AS C,
coalesce((max(CASE WHEN Cabang.ID_Cabang = "C004" THEN PWT END)),0) AS D,
coalesce((max(CASE WHEN Cabang.ID_Cabang = "C005" THEN PWT END)),0) AS E
FROM `keyperformanceindicator`
INNER JOIN pilot ON keyperformanceindicator.ID_Pilot = pilot.ID_Pilot
INNER JOIN cabang ON keyperformanceindicator.ID_Cabang = cabang.ID_Cabang
INNER JOIN
(
SELECT
DATE_FORMAT( PilotStationDate, '%m' ) AS MONTH ,
FORMAT( SUM(`PilotWaitingTime`) / COUNT('PilotStationDate'), 3 ) AS PWT,
COUNT( 'PilotStationDate' ) AS jumlah
FROM keyperformanceindicator
INNER JOIN pilot ON keyperformanceindicator.ID_Pilot = pilot.ID_Pilot
GROUP BY DATE_FORMAT( PilotStationDate, '%m' )
)x ON DATE_FORMAT( PilotStationDate, '%m' ) = x.Month
GROUP BY DATE_FORMAT(PilotStationDate, '%m')
ORDER BY UNIX_TIMESTAMP( CONCAT_WS( '', PilotStationDate, ' ', PilotStationTime ) ) ASC
关于mysql - MySQL 数据透视表中的分组依据，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/32672356/