我正在尝试根据几种因素找出汇总DB2结果和分组的最佳方法。
当前我有以下查询：
SELECT
T1.VEHICLE,
T2.VEHICLE_ID,
T3.WORK_ORDER_ID,
T3.JOB_CREATION,
T5.JOB_STATUS,
T4.JOB_STATUS_TIME
FROM SCHEMA.VEHICLE T1
INNER JOIN SCHEMA.VEHICLE_TO_WORK_ORDER T2
ON T1.VEHICLE_ID = T2.VEHICLE_ID
INNER JOIN SCHEMA.WORK_ORDER T3
ON T2.WORK_ORDER_ID = T3.WORK_ORDER_ID
INNER JOIN SCHEMA.WORK_ORDER_TO_JOB_STATUS T4
ON T3.WORK_ORDER_ID = T4.WORK_ORDER_ID
INNER JOIN SCHEMA.JOB_STATUS T5
ON T4.JOB_STATUS_ID = T5.JOB_STATUS_ID;
它返回这些结果，从数据角度来看是正确的：
VEHICLE VEHICLE_ID WORK_ORDER_ID JOB_CREATION JOB_STATUS JOB_STATUS_TIME
------------------------------------------------------------------------------------------------------------------
VEHICLE 6 6 12345 2019-09-25 00:00:09.426178 CREATED 2019-09-25 00:00:09.469059
VEHICLE 6 6 12345 2019-09-25 00:00:09.426178 ACTIVE 2019-09-25 13:40:00.981891
VEHICLE 6 6 12345 2019-09-25 00:00:09.426178 COMPLETED 2019-09-25 13:45:02.748800
VEHICLE 7 7 54321 2019-09-26 00:00:09.426178 CREATED 2019-09-26 00:00:09.469059
VEHICLE 7 7 54321 2019-09-26 00:00:09.426178 ACTIVE 2019-09-26 13:40:00.981891
VEHICLE 7 7 54321 2019-09-26 00:00:09.426178 PAUSED 2019-09-26 14:40:02.748800
VEHICLE 7 7 54321 2019-09-26 00:00:09.426178 ACTIVE 2019-09-26 14:45:09.469059
VEHICLE 7 7 54321 2019-09-26 00:00:09.426178 COMPLETED 2019-09-26 14:50:00.981891
VEHICLE 3 3 12346 2019-09-27 00:00:09.426178 OPEN 2019-09-27 13:40:02.748800
VEHICLE 3 3 12346 2019-09-27 00:00:09.426178 ACTIVE 2019-09-27 13:45:09.469059
VEHICLE 3 3 12346 2019-09-27 00:00:09.426178 PAUSED 2019-09-27 13:50:00.981891
VEHICLE 3 3 12346 2019-09-27 00:00:09.426178 CANCELLED 2019-09-27 13:51:02.748800
我要在此处进行的操作是按车辆分组，并在给定的日期范围内获取该车辆的工作指令，然后对活动时间或活动之间的时间进行汇总，以便我可以对汇总列进行汇总（此示例有3辆车，每辆车只有一个工作单，但是我希望能够查看日期范围内的任何工作单并获得相同的汇总。）
我想获得所创建的每个工作订单的计数，以及针对自己的列而以已完成或被取消的每个订单的计数，但是我想要的总活动时间为job_status_time（从每个活动到暂停的时间或处于活动状态或已完成状态，因为任务可以先处于活动状态，然后暂停，然后再次处于活动状态，然后再完成）
我希望获得与此类似的结果，但我只是不太了解如何正确汇总此结果：
VEHICLE Created Completed Cancelled Total Active Time (minutes)
------------------------------------------------------------------
6 1 1 0 5
7 1 1 0 65
3 1 0 1 5
如何按车辆对这些结果进行分组，并仍然基于job_status获取这些总和列和合计时间
答案 0 :(得分：1)
WITH
RES (VEHICLE_ID, JOB_STATUS, JOB_STATUS_TIME) AS
(
VALUES
(6, 'CREATED', TIMESTAMP('2019-09-25-00.00.09.469059'))
, (6, 'ACTIVE', TIMESTAMP('2019-09-25-13.40.00.981891'))
, (6, 'COMPLETED', TIMESTAMP('2019-09-25-13.45.02.748800'))
, (7, 'CREATED', TIMESTAMP('2019-09-26-00.00.09.469059'))
, (7, 'ACTIVE', TIMESTAMP('2019-09-26-13.40.00.981891'))
, (7, 'PAUSED', TIMESTAMP('2019-09-26-14.40.02.748800'))
, (7, 'ACTIVE', TIMESTAMP('2019-09-26-14.45.09.469059'))
, (7, 'COMPLETED', TIMESTAMP('2019-09-26-14.50.00.981891'))
, (3, 'OPEN', TIMESTAMP('2019-09-27-13.40.02.748800'))
, (3, 'ACTIVE', TIMESTAMP('2019-09-27-13.45.09.469059'))
, (3, 'PAUSED', TIMESTAMP('2019-09-27-13.50.00.981891'))
, (3, 'CANCELLED', TIMESTAMP('2019-09-27-13.51.02.748800'))
)
, A AS
(
SELECT
VEHICLE_ID, JOB_STATUS
, JOB_STATUS_TIME
, LEAD (JOB_STATUS_TIME) OVER (PARTITION BY VEHICLE_ID ORDER BY JOB_STATUS_TIME) AS JOB_STATUS_TIME_NEXT
FROM RES
)
SELECT
VEHICLE_ID
, COUNT(CASE JOB_STATUS WHEN 'CREATED' THEN 1 END) AS CREATED
, COUNT(CASE JOB_STATUS WHEN 'COMPLETED' THEN 1 END) AS COMPLETED
, COUNT(CASE JOB_STATUS WHEN 'CANCELLED' THEN 1 END) AS CANCELLED
, SUM
(
CASE JOB_STATUS WHEN 'ACTIVE' THEN
(DAYS(JOB_STATUS_TIME_NEXT) - DAYS(JOB_STATUS_TIME)) * 86400
+ MIDNIGHT_SECONDS(JOB_STATUS_TIME_NEXT) - MIDNIGHT_SECONDS(JOB_STATUS_TIME)
END
) / 60 AS ACTIVE_MINUTES
FROM A
GROUP BY VEHICLE_ID;
似乎DB2 for iSeries（至少是我的7.3）有一个错误-尝试在上面的查询中使用DAYS(JOB_STATUS_TIME_NEXT)表达式会导致SQLCODE = -171。我不知道这是什么原因：是因为是从OLAP函数获得的函数参数，还是因为其他原因...
但是，我们可以如下重写查询：
WITH
RES (VEHICLE_ID, JOB_STATUS, JOB_STATUS_TIME) AS
(
VALUES
(6, 'CREATED', TIMESTAMP('2019-09-25-00.00.09.469059'))
, (6, 'ACTIVE', TIMESTAMP('2019-09-25-13.40.00.981891'))
, (6, 'COMPLETED', TIMESTAMP('2019-09-25-13.45.02.748800'))
, (7, 'CREATED', TIMESTAMP('2019-09-26-00.00.09.469059'))
, (7, 'ACTIVE', TIMESTAMP('2019-09-26-13.40.00.981891'))
, (7, 'PAUSED', TIMESTAMP('2019-09-26-14.40.02.748800'))
, (7, 'ACTIVE', TIMESTAMP('2019-09-26-14.45.09.469059'))
, (7, 'COMPLETED', TIMESTAMP('2019-09-26-14.50.00.981891'))
, (3, 'OPEN', TIMESTAMP('2019-09-27-13.40.02.748800'))
, (3, 'ACTIVE', TIMESTAMP('2019-09-27-13.45.09.469059'))
, (3, 'PAUSED', TIMESTAMP('2019-09-27-13.50.00.981891'))
, (3, 'CANCELLED', TIMESTAMP('2019-09-27-13.51.02.748800'))
)
, A AS
(
SELECT
VEHICLE_ID, JOB_STATUS
, JOB_STATUS_TIME
, ROWNUMBER() OVER (PARTITION BY VEHICLE_ID ORDER BY JOB_STATUS_TIME) AS RN
FROM RES
)
SELECT
A1.VEHICLE_ID
, COUNT(CASE A1.JOB_STATUS WHEN 'CREATED' THEN 1 END) AS CREATED
, COUNT(CASE A1.JOB_STATUS WHEN 'COMPLETED' THEN 1 END) AS COMPLETED
, COUNT(CASE A1.JOB_STATUS WHEN 'CANCELLED' THEN 1 END) AS CANCELLED
, SUM
(
CASE A1.JOB_STATUS WHEN 'ACTIVE' THEN
(DAYS(A2.JOB_STATUS_TIME) - DAYS(A1.JOB_STATUS_TIME)) * 86400
+ MIDNIGHT_SECONDS(A2.JOB_STATUS_TIME) - MIDNIGHT_SECONDS(A1.JOB_STATUS_TIME)
END
) / 60 AS ACTIVE_MINUTES
FROM A A1
LEFT JOIN A A2 ON A2.VEHICLE_ID = A1.VEHICLE_ID AND A2.RN = A1.RN + 1
GROUP BY A1.VEHICLE_ID;
结果是：
|VEHICLE_ID |CREATED |COMPLETED |CANCELLED |ACTIVE_MINUTES|
|-----------|-----------|-----------|-----------|--------------|
|3 |0 |0 |1 |4 |
|6 |1 |1 |0 |5 |
|7 |1 |1 |0 |64 |