Exempeldata
DECLARE @StartDate date = '2016-06-01';
DECLARE @EndDate date = '2016-07-01';
DECLARE @Table_One TABLE (
Staff_ID int,
dt date,
First_Name nvarchar(50),
Last_Name nvarchar(50),
Section nvarchar(50),
Time_Worked datetime);
INSERT INTO @Table_One(Staff_ID, dt, First_Name, Last_Name, Section, Time_Worked)
VALUES
(1001, '2016-06-01', 'Bill', 'Price ', 'Level 1', '2016-06-01 8:30:00.000'),
(1001, '2016-06-05', 'Bill', 'Price ', 'Level 1', '2016-06-05 8:30:00.000'),
(1001, '2016-06-09', 'Bill', 'Price ', 'Level 1', '2016-06-09 8:30:00.000'),
(1001, '2016-06-12', 'Bill', 'Price ', 'Level 1', '2016-06-12 8:30:00.000'),
(1002, '2016-06-01', 'Mary', 'Somers', 'Level 1', '2016-06-01 8:30:00.000'),
(1002, '2016-06-05', 'Mary', 'Somers', 'Level 1', '2016-06-05 8:30:00.000'),
(1002, '2016-06-08', 'Mary', 'Somers', 'Level 1', '2016-06-08 8:30:00.000'),
(1003, '2016-06-03', 'Mark', 'Jones ', 'Level 1', '2016-06-03 8:30:00.000'),
(1003, '2016-06-05', 'Mark', 'Jones ', 'Level 1', '2016-06-05 8:30:00.000');
Fråga
Frågan använder CROSS APPLY att "infoga" rader när det finns en lucka i datum. Den duplicerar den aktuella raden så många gånger som behövs med din Tally siffertabell.
Det finns en speciell hantering av ärendet när @StartDate är före datumet för den första raden. Det är därför det finns två SELECTs sammanförda.
CTE.PrevDate IS NULL filtrerar bara sådana rader och de upprepas så många gånger som behövs.
WITH
CTE
AS
(
SELECT *
,LAG(dt) OVER (PARTITION BY Staff_ID ORDER BY dt) AS PrevDate
,LEAD(dt) OVER (PARTITION BY Staff_ID ORDER BY dt) AS NextDate
FROM @Table_One AS T
)
SELECT
Staff_ID
,NewDate
,First_Name
,Last_Name
,Section
,CASE WHEN NewDate = dt THEN Time_Worked ELSE NULL END AS Time_Worked
FROM
CTE
CROSS APPLY
(
SELECT DATEADD(day, Tally.ID - 1, CTE.dt) AS NewDate
FROM dbo.Tally
WHERE Tally.ID <= DATEDIFF(day, CTE.dt, ISNULL(CTE.NextDate, @EndDate))
) AS CA_Next
UNION ALL
SELECT
Staff_ID
,NewDate
,First_Name
,Last_Name
,Section
,CASE WHEN NewDate = dt THEN Time_Worked ELSE NULL END AS Time_Worked
FROM
CTE
CROSS APPLY
(
SELECT DATEADD(day, - Tally.ID, CTE.dt) AS NewDate
FROM dbo.Tally
WHERE Tally.ID <= DATEDIFF(day, @StartDate, CTE.dt)
) AS CA_Prev
WHERE
CTE.PrevDate IS NULL
ORDER BY Staff_ID, NewDate;
Resultat
+----------+------------+------------+-----------+---------+-------------------------+
| Staff_ID | NewDate | First_Name | Last_Name | Section | Time_Worked |
+----------+------------+------------+-----------+---------+-------------------------+
| 1001 | 2016-06-01 | Bill | Price | Level 1 | 2016-06-01 08:30:00.000 |
| 1001 | 2016-06-02 | Bill | Price | Level 1 | NULL |
| 1001 | 2016-06-03 | Bill | Price | Level 1 | NULL |
| 1001 | 2016-06-04 | Bill | Price | Level 1 | NULL |
| 1001 | 2016-06-05 | Bill | Price | Level 1 | 2016-06-05 08:30:00.000 |
| 1001 | 2016-06-06 | Bill | Price | Level 1 | NULL |
| 1001 | 2016-06-07 | Bill | Price | Level 1 | NULL |
| 1001 | 2016-06-08 | Bill | Price | Level 1 | NULL |
| 1001 | 2016-06-09 | Bill | Price | Level 1 | 2016-06-09 08:30:00.000 |
| 1001 | 2016-06-10 | Bill | Price | Level 1 | NULL |
| 1001 | 2016-06-11 | Bill | Price | Level 1 | NULL |
| 1001 | 2016-06-12 | Bill | Price | Level 1 | 2016-06-12 08:30:00.000 |
| 1001 | 2016-06-13 | Bill | Price | Level 1 | NULL |
| 1001 | 2016-06-14 | Bill | Price | Level 1 | NULL |
| 1001 | 2016-06-15 | Bill | Price | Level 1 | NULL |
| 1001 | 2016-06-16 | Bill | Price | Level 1 | NULL |
| 1001 | 2016-06-17 | Bill | Price | Level 1 | NULL |
| 1001 | 2016-06-18 | Bill | Price | Level 1 | NULL |
| 1001 | 2016-06-19 | Bill | Price | Level 1 | NULL |
| 1001 | 2016-06-20 | Bill | Price | Level 1 | NULL |
| 1001 | 2016-06-21 | Bill | Price | Level 1 | NULL |
| 1001 | 2016-06-22 | Bill | Price | Level 1 | NULL |
| 1001 | 2016-06-23 | Bill | Price | Level 1 | NULL |
| 1001 | 2016-06-24 | Bill | Price | Level 1 | NULL |
| 1001 | 2016-06-25 | Bill | Price | Level 1 | NULL |
| 1001 | 2016-06-26 | Bill | Price | Level 1 | NULL |
| 1001 | 2016-06-27 | Bill | Price | Level 1 | NULL |
| 1001 | 2016-06-28 | Bill | Price | Level 1 | NULL |
| 1001 | 2016-06-29 | Bill | Price | Level 1 | NULL |
| 1001 | 2016-06-30 | Bill | Price | Level 1 | NULL |
| 1002 | 2016-06-01 | Mary | Somers | Level 1 | 2016-06-01 08:30:00.000 |
| 1002 | 2016-06-02 | Mary | Somers | Level 1 | NULL |
| 1002 | 2016-06-03 | Mary | Somers | Level 1 | NULL |
| 1002 | 2016-06-04 | Mary | Somers | Level 1 | NULL |
| 1002 | 2016-06-05 | Mary | Somers | Level 1 | 2016-06-05 08:30:00.000 |
| 1002 | 2016-06-06 | Mary | Somers | Level 1 | NULL |
| 1002 | 2016-06-07 | Mary | Somers | Level 1 | NULL |
| 1002 | 2016-06-08 | Mary | Somers | Level 1 | 2016-06-08 08:30:00.000 |
| 1002 | 2016-06-09 | Mary | Somers | Level 1 | NULL |
| 1002 | 2016-06-10 | Mary | Somers | Level 1 | NULL |
| 1002 | 2016-06-11 | Mary | Somers | Level 1 | NULL |
| 1002 | 2016-06-12 | Mary | Somers | Level 1 | NULL |
| 1002 | 2016-06-13 | Mary | Somers | Level 1 | NULL |
| 1002 | 2016-06-14 | Mary | Somers | Level 1 | NULL |
| 1002 | 2016-06-15 | Mary | Somers | Level 1 | NULL |
| 1002 | 2016-06-16 | Mary | Somers | Level 1 | NULL |
| 1002 | 2016-06-17 | Mary | Somers | Level 1 | NULL |
| 1002 | 2016-06-18 | Mary | Somers | Level 1 | NULL |
| 1002 | 2016-06-19 | Mary | Somers | Level 1 | NULL |
| 1002 | 2016-06-20 | Mary | Somers | Level 1 | NULL |
| 1002 | 2016-06-21 | Mary | Somers | Level 1 | NULL |
| 1002 | 2016-06-22 | Mary | Somers | Level 1 | NULL |
| 1002 | 2016-06-23 | Mary | Somers | Level 1 | NULL |
| 1002 | 2016-06-24 | Mary | Somers | Level 1 | NULL |
| 1002 | 2016-06-25 | Mary | Somers | Level 1 | NULL |
| 1002 | 2016-06-26 | Mary | Somers | Level 1 | NULL |
| 1002 | 2016-06-27 | Mary | Somers | Level 1 | NULL |
| 1002 | 2016-06-28 | Mary | Somers | Level 1 | NULL |
| 1002 | 2016-06-29 | Mary | Somers | Level 1 | NULL |
| 1002 | 2016-06-30 | Mary | Somers | Level 1 | NULL |
| 1003 | 2016-06-01 | Mark | Jones | Level 1 | NULL |
| 1003 | 2016-06-02 | Mark | Jones | Level 1 | NULL |
| 1003 | 2016-06-03 | Mark | Jones | Level 1 | 2016-06-03 08:30:00.000 |
| 1003 | 2016-06-04 | Mark | Jones | Level 1 | NULL |
| 1003 | 2016-06-05 | Mark | Jones | Level 1 | 2016-06-05 08:30:00.000 |
| 1003 | 2016-06-06 | Mark | Jones | Level 1 | NULL |
| 1003 | 2016-06-07 | Mark | Jones | Level 1 | NULL |
| 1003 | 2016-06-08 | Mark | Jones | Level 1 | NULL |
| 1003 | 2016-06-09 | Mark | Jones | Level 1 | NULL |
| 1003 | 2016-06-10 | Mark | Jones | Level 1 | NULL |
| 1003 | 2016-06-11 | Mark | Jones | Level 1 | NULL |
| 1003 | 2016-06-12 | Mark | Jones | Level 1 | NULL |
| 1003 | 2016-06-13 | Mark | Jones | Level 1 | NULL |
| 1003 | 2016-06-14 | Mark | Jones | Level 1 | NULL |
| 1003 | 2016-06-15 | Mark | Jones | Level 1 | NULL |
| 1003 | 2016-06-16 | Mark | Jones | Level 1 | NULL |
| 1003 | 2016-06-17 | Mark | Jones | Level 1 | NULL |
| 1003 | 2016-06-18 | Mark | Jones | Level 1 | NULL |
| 1003 | 2016-06-19 | Mark | Jones | Level 1 | NULL |
| 1003 | 2016-06-20 | Mark | Jones | Level 1 | NULL |
| 1003 | 2016-06-21 | Mark | Jones | Level 1 | NULL |
| 1003 | 2016-06-22 | Mark | Jones | Level 1 | NULL |
| 1003 | 2016-06-23 | Mark | Jones | Level 1 | NULL |
| 1003 | 2016-06-24 | Mark | Jones | Level 1 | NULL |
| 1003 | 2016-06-25 | Mark | Jones | Level 1 | NULL |
| 1003 | 2016-06-26 | Mark | Jones | Level 1 | NULL |
| 1003 | 2016-06-27 | Mark | Jones | Level 1 | NULL |
| 1003 | 2016-06-28 | Mark | Jones | Level 1 | NULL |
| 1003 | 2016-06-29 | Mark | Jones | Level 1 | NULL |
| 1003 | 2016-06-30 | Mark | Jones | Level 1 | NULL |
+----------+------------+------------+-----------+---------+-------------------------+
Infoga de genererade raderna tillbaka i den ursprungliga tabellen
Först insåg jag inte att du vill ändra den ursprungliga tabellen, så jag skrev en SELECT fråga som returnerar en nödvändig resultatuppsättning. Det är lätt att justera det till INSERT fråga som skulle lägga till nya rader i den ursprungliga tabellen.
Allt jag gjorde var att lägga till ett filter WHERE NewDate <> dt , vilket säkerställer att endast nya rader som inte fanns tidigare infogas.
WITH
CTE
AS
(
SELECT
Staff_ID
,dt
,First_Name
,Last_Name
,Section
,Time_Worked
,LAG(dt) OVER (PARTITION BY Staff_ID ORDER BY dt) AS PrevDate
,LEAD(dt) OVER (PARTITION BY Staff_ID ORDER BY dt) AS NextDate
FROM @Table_One AS T
)
INSERT INTO @Table_One(Staff_ID, dt, First_Name, Last_Name, Section, Time_Worked)
SELECT
Staff_ID
,NewDate
,First_Name
,Last_Name
,Section
,NULL AS Time_Worked
FROM
CTE
CROSS APPLY
(
SELECT DATEADD(day, Tally.ID - 1, CTE.dt) AS NewDate
FROM dbo.Tally
WHERE Tally.ID <= DATEDIFF(day, CTE.dt, ISNULL(CTE.NextDate, @EndDate))
) AS CA_Next
WHERE
NewDate <> dt
UNION ALL
SELECT
Staff_ID
,NewDate
,First_Name
,Last_Name
,Section
,NULL AS Time_Worked
FROM
CTE
CROSS APPLY
(
SELECT DATEADD(day, - Tally.ID, CTE.dt) AS NewDate
FROM dbo.Tally
WHERE Tally.ID <= DATEDIFF(day, @StartDate, CTE.dt)
) AS CA_Prev
WHERE
CTE.PrevDate IS NULL
ORDER BY Staff_ID, NewDate;
Resultat
För att kontrollera resultatet SELECT allt från den ursprungliga tabellen.
SELECT * FROM @Table_One ORDER BY Staff_ID, dt;
Resultatet är detsamma som visas ovan.