значение на основе последовательности для каждой детали - PullRequest
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значение на основе последовательности для каждой детали

0 голосов
/ 22 февраля 2019

Я использую хранилище данных SQL для своей базы данных

Найдите V, T, C последовательно для заданной группы деталей по порядку Shipment_id по TASK_SEQUENCE_NUMBER, где порядок TASK_TYPE равен V, затем T, а затем C.

Это значение может быть 0, если в последовательности нет значений для V, T, C. Если значения V, T, C больше одного раза, мы можем суммировать значения и отобразить

ниже:схема таблицы и данные с ожидаемым результатом, который должен быть включен в хранимую процедуру с большим количеством столбцов в таблице Task_Main. 

    CREATE TABLE [dbo].[Task_Detail](
    [Task_Sid] [int] NULL,      [Shipment_ID] [decimal](18, 0) NULL,
    [TASK_SEQUENCE_No] [decimal](18, 0) NULL,
    [TASK_TYPE] [varchar](1) NULL,      [TASK_DURATION] [decimal](18, 0) NULL,      [LOCATION_CODE] [varchar](15) NULL,         [TaskStart] [bigint] NULL    ) ON [PRIMARY]


 CREATE TABLE [dbo].[Task_Header](
    [Task_Sno] [int] NULL,      [Shipment_ID] [decimal](18, 0) NULL,
    [Vehicle_Id] [nchar](10) NULL,      [DepotVisitStartTime] [datetime2](7) NULL,      [Time_V] [bigint] NULL,         [Time_T] [bigint] NULL,     [Time_C] [bigint] NULL     ) ON [PRIMARY]


INSERT [dbo].[Task_Detail] ([Task_Sid], [Shipment_ID], [TASK_SEQUENCE_No], [TASK_TYPE], [TASK_DURATION], [LOCATION_CODE], [TaskStart]) VALUES
(1, CAST(1 AS Decimal(18, 0)), CAST(1 AS Decimal(18, 0)), N'K', CAST(20 AS Decimal(18, 0)), N'LC39', 20),
(2, CAST(1 AS Decimal(18, 0)), CAST(7 AS Decimal(18, 0)), N'L', CAST(21 AS Decimal(18, 0)), N'10019514', 21),
 (3, CAST(1 AS Decimal(18, 0)), CAST(3 AS Decimal(18, 0)), N'L', CAST(58 AS Decimal(18, 0)), N'LC38', 58),
 (4, CAST(1 AS Decimal(18, 0)), CAST(6 AS Decimal(18, 0)), N'C', CAST(10 AS Decimal(18, 0)), NULL, 10),
 (5, CAST(1 AS Decimal(18, 0)), CAST(8 AS Decimal(18, 0)), N'V', CAST(30 AS Decimal(18, 0)), N'10019514', 30),
 (6, CAST(1 AS Decimal(18, 0)), CAST(10 AS Decimal(18, 0)), N'C', CAST(11 AS Decimal(18, 0)), N'RJC', 11),
(7, CAST(1 AS Decimal(18, 0)), CAST(9 AS Decimal(18, 0)), N'T', CAST(19 AS Decimal(18, 0)), N'10019027', 19)
, (8, CAST(2 AS Decimal(18, 0)), CAST(7 AS Decimal(18, 0)), N'V', CAST(29 AS Decimal(18, 0)), N'10018952', 29)
, (9, CAST(2 AS Decimal(18, 0)), CAST(4 AS Decimal(18, 0)), N'K', CAST(20 AS Decimal(18, 0)), NULL, 20)
, (10, CAST(2 AS Decimal(18, 0)), CAST(5 AS Decimal(18, 0)), N'V', CAST(0 AS Decimal(18, 0)), N'302', 0)
, (11, CAST(3 AS Decimal(18, 0)), CAST(12 AS Decimal(18, 0)), N'T', CAST(19 AS Decimal(18, 0)), N'10019514', 19)
, (12, CAST(3 AS Decimal(18, 0)), CAST(13 AS Decimal(18, 0)), N'E', CAST(11 AS Decimal(18, 0)), N'10019514', 11)
, (13, CAST(2 AS Decimal(18, 0)), CAST(3 AS Decimal(18, 0)), N'V', CAST(32 AS Decimal(18, 0)), N'', 32)
, (14, CAST(3 AS Decimal(18, 0)), CAST(4 AS Decimal(18, 0)), N'K', CAST(20 AS Decimal(18, 0)), N'10018952', 20)
, (15, CAST(3 AS Decimal(18, 0)), CAST(5 AS Decimal(18, 0)), N'V', CAST(0 AS Decimal(18, 0)), N'LC57', 0)
, (16, CAST(3 AS Decimal(18, 0)), CAST(8 AS Decimal(18, 0)), N'T', CAST(19 AS Decimal(18, 0)), N'10019514', 19)
, (17, CAST(3 AS Decimal(18, 0)), CAST(9 AS Decimal(18, 0)), N'C', CAST(10 AS Decimal(18, 0)), N'10019027', 10)
, (18, CAST(3 AS Decimal(18, 0)), CAST(3 AS Decimal(18, 0)), N'L', CAST(21 AS Decimal(18, 0)), N'LC38', 21)
, (19, CAST(3 AS Decimal(18, 0)), CAST(11 AS Decimal(18, 0)), N'V', CAST(30 AS Decimal(18, 0)), N'10019514', 30)
, (20, CAST(3 AS Decimal(18, 0)), CAST(10 AS Decimal(18, 0)), N'L', CAST(21 AS Decimal(18, 0)), N'10019514', 21)
, (21, CAST(3 AS Decimal(18, 0)), CAST(1 AS Decimal(18, 0)), N'T', CAST(19 AS Decimal(18, 0)), N'LC39', 19)
, (22, CAST(3 AS Decimal(18, 0)), CAST(2 AS Decimal(18, 0)), N'C', CAST(10 AS Decimal(18, 0)), N'302', 10)
, (23, CAST(1 AS Decimal(18, 0)), CAST(2 AS Decimal(18, 0)), N'V', CAST(0 AS Decimal(18, 0)), N'302', 0)
, (24, CAST(1 AS Decimal(18, 0)), CAST(4 AS Decimal(18, 0)), N'V', CAST(29 AS Decimal(18, 0)), N'10018952', 29)
, (25, CAST(1 AS Decimal(18, 0)), CAST(5 AS Decimal(18, 0)), N'T', CAST(19 AS Decimal(18, 0)), N'LC57', 19)
, (26, CAST(3 AS Decimal(18, 0)), CAST(6 AS Decimal(18, 0)), N'L', CAST(58 AS Decimal(18, 0)), N'10019514', 58)
, (27, CAST(3 AS Decimal(18, 0)), CAST(7 AS Decimal(18, 0)), N'V', CAST(29 AS Decimal(18, 0)), N'10019514', 29)
, (28, CAST(2 AS Decimal(18, 0)), CAST(6 AS Decimal(18, 0)), N'L', CAST(58 AS Decimal(18, 0)), N'10018952', 58)
, (29, CAST(2 AS Decimal(18, 0)), CAST(2 AS Decimal(18, 0)), N'L', CAST(35 AS Decimal(18, 0)), NULL, 35)



INSERT [dbo].[Task_Header] ([Task_Sno], [Shipment_ID], [Vehicle_Id], [DepotVisitStartTime], [Time_V], [Time_T], [Time_C]) VALUES 
(1, CAST(1 AS Decimal(18, 0)), N'TN1       ', CAST(N'2019-02-15T07:25:33.0000000' AS DateTime2), NULL, NULL, NULL)
,(2, CAST(1 AS Decimal(18, 0)), N'TN1       ', CAST(N'2019-02-15T07:25:33.0000000' AS DateTime2), NULL, NULL, NULL)
,(3, CAST(1 AS Decimal(18, 0)), N'TN1       ', CAST(N'2019-02-15T07:25:33.0000000' AS DateTime2), NULL, NULL, NULL)
,(4, CAST(1 AS Decimal(18, 0)), N'TN1       ', CAST(N'2019-02-15T07:25:33.0000000' AS DateTime2), NULL, NULL, NULL)
,(5, CAST(2 AS Decimal(18, 0)), N'KA2       ', CAST(N'2019-02-15T06:12:52.0000000' AS DateTime2), NULL, NULL, NULL)
,(6, CAST(2 AS Decimal(18, 0)), N'KA2       ', CAST(N'2019-02-15T06:12:52.0000000' AS DateTime2), NULL, NULL, NULL)
,(7, CAST(3 AS Decimal(18, 0)), N'AP3       ', CAST(N'2019-02-15T06:32:52.0000000' AS DateTime2), NULL, NULL, NULL)
,(8, CAST(3 AS Decimal(18, 0)), N'AP3       ', CAST(N'2019-02-15T06:32:52.0000000' AS DateTime2), NULL, NULL, NULL)
,(9, CAST(3 AS Decimal(18, 0)), N'AP3       ', CAST(N'2019-02-15T13:12:21.0000000' AS DateTime2), NULL, NULL, NULL)

Ожидаемый результат с фильтром:

Сортировать данные по Shipment_ID, Фильтр TASK_SEQUENCE_NUMBER, где Location_code <> 'RJC' Соединение TaskMaster и TaskDetails равно Shipment_id TASK_TYPE должен быть V в заданной последовательности, следующий непосредственно с T, следующий сразу с C рассматривается только для вывода

Пример данных: результат встолбец V: 59 - это сумма значений "V" для данных результатов Shipment_Id, сгруппированных по shipment_id

VTC Image for fliter and sort and group data

Ожидаемый результат 

Sno Shipment_ID Vehicle ID  DepotVisitStartTime V   T   C
1   1   TN1 2019-02-15 07:25:33.0000000 59  38  21
2   1   TN1 2019-02-15 07:25:33.0000000 59  38  21
3   1   TN1 2019-02-15 07:25:33.0000000 59  38  21
4   1   TN1 2019-02-15 07:25:33.0000000 59  38  21
5   2   KA2 2019-02-15 06:12:52.0000000 0   0   0
6   2   KA2 2019-02-15 06:12:52.0000000 0   0   0
7   3   AP3 2019-02-15 06:32:52.0000000 29  19  10
8   3   AP3 2019-02-15 06:32:52.0000000 29  19  10
9   3   AP3 2019-02-15 13:12:21.0000000 29  19  10

Эти столбцы являются продолжением публикации ниже, и я хочу иметь StoredProceudre для вставки данных в таблицу Task_Master Общая дата и количество в той же таблице дляданный ID

Ответы [ 2 ]

0 голосов
/ 26 февраля 2019

Код, заданный @Gordon, кажется в основном правильным, просто изменив имена столбцов в основной логике, надеюсь, это поможет! 

select Shipment_ID,
       sum(case when task_type = 'V' then task_duration else 0 end) as v_duration,
       sum(case when task_type = 'T' then task_duration else 0 end) as t_duration,
       sum(case when task_type = 'C' then task_duration else 0 end) as c_duration
from (select td.*,
             lead(task_type) over (partition by Shipment_ID order by TASK_SEQUENCE_No) as next_task_type,
             lead(task_type, 2) over (partition by Shipment_ID order by TASK_SEQUENCE_No) as next2_task_type,
             lag(task_type) over (partition by Shipment_ID order by TASK_SEQUENCE_No) as prev_task_type,
             lag(task_type, 2) over (partition by Shipment_ID order by TASK_SEQUENCE_No) as prev2_type
      from task_detail td --WHERE Location_Code <>'RJC'
     ) td
where (task_type = 'V' and next_task_type = 'T' and next2_task_type = 'C') or
      (prev_task_type = 'V' and task_type = 'T' and next_task_type = 'C') or
      (prev2_type = 'V' and prev_task_type = 'T' and task_type = 'C')

group by Shipment_ID;

Добавление изображения полученного результата. Результаты

0 голосов
/ 22 февраля 2019

Вы можете использовать lead() и lag(): 

select ship_id,
       sum(case when task_type = 'V' then task_duration else 0 end) as v_duration,
       sum(case when task_type = 'T' then task_duration else 0 end) as t_duration,
       sum(case when task_type = 'C' then task_duration else 0 end) as c_duration
from (select td.*,
             lead(task_type) over (partition by ship_id order by task_sid) as next_task_type,
             lead(task_type, 2) over (partition by ship_id order by task_sid) as next2_task_type,
             lag(task_type) over (partition by ship_id order by task_sid) as prev_task_type,
             lag(task_type, 2) over (partition by ship_id order by task_sid) as prev2_type,
      from task_detail td
     ) td
where (task_type = 'V' and next_task_type = 'T' and next2_task_type = 'C') or
      (prev_task_type = 'V' and task_type = 'T' and next_task_type = 'C') or
      (prev2_task_type = 'V' and prev_task_type = 'T' and task_type = 'C')
group by ship_id;
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