问题
I pieced together the below code from research from the net and my own SQL knowledge (not the greatest).
The table Table_One holds data for staff and their working days, what I am trying to do is INSERT rows where the dates are missing (non-working days) between two specified dates for each Staff member.
This is as far as I can get, I don't know how to check if the row is missing and if it is, insert the new row with the date and the corresponding staff members data.
SET NOCOUNT ON;
IF object_id('dbo.Tally') is not null drop table dbo.tally
GO
SELECT TOP 10000 IDENTITY(int,1,1) as ID
INTO dbo.Tally FROM master.dbo.SysColumns
ALTER table dbo.Tally
add constraint PK_ID primary key clustered(ID)
GO
select * from dbo.Tally
--Generate Date Range
DECLARE @StartDate datetime
DECLARE @EndDate datetime
SET @StartDate = '2016/6/1'
SET @EndDate= '2016/7/1'
SELECT dateadd(DD,ID-1,@StartDate) as [DATE]
FROM dbo.Tally
WHERE dateadd(DD,ID-1,@StartDate)<=@EndDate
The table looks like this,
Staff_ID | Date | Year | Mon | Day | First_Name | Last_Name | Section | Time_Worked
1001 | 2016/6/1 | 2016 | 6 | 1 | Bill | Price | Level 1 | 2016/6/1 8:30:00.000
1001 | 2016/6/5 | 2016 | 6 | 1 | Bill | Price | Level 1 | 2016/6/5 8:30:00.000
1001 | 2016/6/9 | 2016 | 6 | 1 | Bill | Price | Level 1 | 2016/6/9 8:30:00.000
1001 | 2016/6/12 | 2016 | 6 | 1 | Bill | Price | Level 1 | 2016/6/12 8:30:00.000
1002 | 2016/6/1 | 2016 | 6 | 1 | Mary | Somers | Level 1 | 2016/6/1 8:30:00.000
1002 | 2016/6/5 | 2016 | 6 | 1 | Mary | Somers | Level 1 | 2016/6/5 8:30:00.000
1002 | 2016/6/8 | 2016 | 6 | 1 | Mary | Somers | Level 1 | 2016/6/8 8:30:00.000
1003 | 2016/6/3 | 2016 | 6 | 1 | Mark | Jones | Level 1 | 2016/6/3 8:30:00.000
1003 | 2016/6/5 | 2016 | 6 | 1 | Mark | Jones | Level 1 | 2016/6/5 8:30:00.000
The first row of data that falls in between each of the two dates for the staff member will be able to be used to fill the columns other than the date column. And each staff member first row of data will not necessarily be the same date.
Eg.
This staff members first day is two days after the SET @StartDate = '2016/6/1' in the query,
Staff_ID | Date | First_Name | Last_Name | Section | Time_Worked
1003 | 2016/6/3 | Mark | Jones | Level 1 | 2016/6/3 8:30:00.000
But , the other columns will be able to be used to fill the new rows data.
This is the outcome for one staff member from the table above, in this case ,staff No 1001 named Bill.
Staff_ID | Date | Year | Mon| Day| First_Name | Last_Name | Section | Time_Worked
1001 | 2016/6/1 | 2016 | 6 | 1 | Bill | Price | Level 1 | 2016/6/1 8:30:00.000
1001 | 2016/6/2 | 2016 | 6 | 2 | Bill | Price | Level 1 | NULL
1001 | 2016/6/3 | 2016 | 6 | 3 | Bill | Price | Level 1 | NULL
1001 | 2016/6/4 | 2016 | 6 | 4 | Bill | Price | Level 1 | NULL
1001 | 2016/6/5 | 2016 | 6 | 5 | Bill | Price | Level 1 | 2016/6/5 8:30:00.000
1001 | 2016/6/6 | 2016 | 6 | 6 | Bill | Price | Level 1 | NULL
1001 | 2016/6/7 | 2016 | 6 | 7 | Bill | Price | Level 1 | NULL
1001 | 2016/6/8 | 2016 | 6 | 8 | Bill | Price | Level 1 | NULL
1001 | 2016/6/9 | 2016 | 6 | 9 | Bill | Price | Level 1 | 2016/6/9 8:30:00.000
1001 | 2016/6/10 | 2016 | 6 | 10 | Bill | Price | Level 1 | NULL
1001 | 2016/6/11 | 2016 | 6 | 11 | Bill | Price | Level 1 | NULL
1001 | 2016/6/12 | 2016 | 6 | 12 | Bill | Price | Level 1 | 2016/6/12 8:30:00.000
1001 | 2016/6/13 | 2016 | 6 | 13 | Bill | Price | Level 1 | NULL
1001 | 2016/6/14 | 2016 | 6 | 14 | Bill | Price | Level 1 | NULL
1001 | 2016/6/15 | 2016 | 6 | 15 | Bill | Price | Level 1 | NULL
1001 | 2016/6/16 | 2016 | 6 | 16 | Bill | Price | Level 1 | NULL
1001 | 2016/6/17 | 2016 | 6 | 17 | Bill | Price | Level 1 | NULL
1001 | 2016/6/18 | 2016 | 6 | 18 | Bill | Price | Level 1 | NULL
1001 | 2016/6/19 | 2016 | 6 | 19 | Bill | Price | Level 1 | NULL
1001 | 2016/6/20 | 2016 | 6 | 20 | Bill | Price | Level 1 | NULL
1001 | 2016/6/21 | 2016 | 6 | 21 | Bill | Price | Level 1 | NULL
1001 | 2016/6/22 | 2016 | 6 | 22 | Bill | Price | Level 1 | NULL
1001 | 2016/6/23 | 2016 | 6 | 23 | Bill | Price | Level 1 | NULL
1001 | 2016/6/24 | 2016 | 6 | 24 | Bill | Price | Level 1 | NULL
1001 | 2016/6/25 | 2016 | 6 | 25 | Bill | Price | Level 1 | NULL
1001 | 2016/6/26 | 2016 | 6 | 26 | Bill | Price | Level 1 | NULL
1001 | 2016/6/27 | 2016 | 6 | 27 | Bill | Price | Level 1 | NULL
1001 | 2016/6/28 | 2016 | 6 | 28 | Bill | Price | Level 1 | NULL
1001 | 2016/6/29 | 2016 | 6 | 29 | Bill | Price | Level 1 | NULL
1001 | 2016/6/30 | 2016 | 6 | 30 | Bill | Price | Level 1 | NULL
I have a While Loop that is working for me and updating the missing records for now, but the performance is terrible.
Thanks
回答1:
Another option: (updated [again])
Create and populate sample table (Please save us this step in your next question)
DECLARE @T as TABLE
(
Staff_ID int,
[Date] date,
[Year] int,
Mon int,
[Day] int,
First_Name varchar(10),
Last_Name varchar(10),
Section varchar(10),
Time_Worked datetime
)
INSERT INTO @T VALUES
(1001, '2016-06-01', 2016, 6, 1, 'Bill', 'Price', 'Level 1', '2016-06-01 8:30:00.000'),
(1001, '2016-06-05', 2016, 6, 5, 'Bill', 'Price', 'Level 1', '2016-06-05 8:30:00.000'),
(1001, '2016-06-09', 2016, 6, 9, 'Bill', 'Price', 'Level 1', '2016-06-09 8:30:00.000'),
(1001, '2016-07-05', 2016, 7, 5, 'Bill', 'Price', 'Level 2', '2016-06-12 8:30:00.000'), -- Different month
(1002, '2016-06-01', 2016, 6, 1, 'Mary', 'Somers', 'Level 1', '2016-06-01 8:30:00.000'),
(1002, '2016-06-05', 2016, 6, 5, 'Mary', 'Somers', 'Level 1', '2016-06-05 8:30:00.000'),
(1002, '2016-06-08', 2016, 6, 8, 'Mary', 'Somers', 'Level 1', '2016-06-08 8:30:00.000'),
(1003, '2016-06-03', 2016, 6, 3, 'Mark', 'Jones', 'Level 1', '2016-06-03 8:30:00.000'),
(1003, '2016-06-04', 2016, 6, 4, 'Mark', 'Jones', 'Level 1', '2016-06-05 8:30:00.000')
Declare and populate @StartDate and @EndDate:
DECLARE @StartDate datetime = '2016-06-01',
@EndDate datetime = '2016-08-01'
The INSERT...SELECT statement: (I've chosen to use a cte so I wouldn't have to write the dateadd(DD,ID-1,@StartDate) so many times)
;WITH Calendar AS
(
SELECT dateadd(DD,ID-1,@StartDate) as [Date]
FROM dbo.Tally
WHERE dateadd(DD,ID-1,@StartDate) < @EndDate
)
INSERT INTO @T (Staff_ID, [Date], [Year], Mon, [Day], First_Name, Last_Name, Section)
SELECT DISTINCT Staff_ID, C.[Date], Year(C.[Date]), MONTH(C.[Date]), DAY(C.[Date]), First_Name, Last_Name, Section
FROM @T T
CROSS APPLY
(
SELECT Cal.[Date]
FROM Calendar Cal
WHERE MONTH(Cal.[Date]) = MONTH(T.[Date])
AND YEAR(Cal.[Date]) = YEAR(T.[Date])
AND NOT EXISTS
(
SELECT 1
FROM @T T2
WHERE T.Staff_ID = T2.Staff_ID
AND T2.[Date] = Cal.[Date]
)
) C
Verify inserts:
SELECT Staff_ID, [Date], [Year], Mon, [Day], First_Name, Last_Name, Section, Time_Worked
FROM @T
ORDER BY Staff_ID, [Date]
Results:
Staff_ID Date Year Mon Day First_Name Last_Name Section Time_Worked
----------- ---------- ----------- ----------- ----------- ---------- ---------- ---------- -----------------------
1001 2016-06-01 2016 6 1 Bill Price Level 1 2016-06-01 08:30:00.000
1001 2016-06-02 2016 6 2 Bill Price Level 1 NULL
1001 2016-06-03 2016 6 3 Bill Price Level 1 NULL
1001 2016-06-04 2016 6 4 Bill Price Level 1 NULL
1001 2016-06-05 2016 6 5 Bill Price Level 1 2016-06-05 08:30:00.000
1001 2016-06-06 2016 6 6 Bill Price Level 1 NULL
1001 2016-06-07 2016 6 7 Bill Price Level 1 NULL
1001 2016-06-08 2016 6 8 Bill Price Level 1 NULL
1001 2016-06-09 2016 6 9 Bill Price Level 1 2016-06-09 08:30:00.000
1001 2016-06-10 2016 6 10 Bill Price Level 1 NULL
1001 2016-06-11 2016 6 11 Bill Price Level 1 NULL
1001 2016-06-12 2016 6 12 Bill Price Level 1 NULL
1001 2016-06-13 2016 6 13 Bill Price Level 1 NULL
1001 2016-06-14 2016 6 14 Bill Price Level 1 NULL
1001 2016-06-15 2016 6 15 Bill Price Level 1 NULL
1001 2016-06-16 2016 6 16 Bill Price Level 1 NULL
1001 2016-06-17 2016 6 17 Bill Price Level 1 NULL
1001 2016-06-18 2016 6 18 Bill Price Level 1 NULL
1001 2016-06-19 2016 6 19 Bill Price Level 1 NULL
1001 2016-06-20 2016 6 20 Bill Price Level 1 NULL
1001 2016-06-21 2016 6 21 Bill Price Level 1 NULL
1001 2016-06-22 2016 6 22 Bill Price Level 1 NULL
1001 2016-06-23 2016 6 23 Bill Price Level 1 NULL
1001 2016-06-24 2016 6 24 Bill Price Level 1 NULL
1001 2016-06-25 2016 6 25 Bill Price Level 1 NULL
1001 2016-06-26 2016 6 26 Bill Price Level 1 NULL
1001 2016-06-27 2016 6 27 Bill Price Level 1 NULL
1001 2016-06-28 2016 6 28 Bill Price Level 1 NULL
1001 2016-06-29 2016 6 29 Bill Price Level 1 NULL
1001 2016-06-30 2016 6 30 Bill Price Level 1 NULL
1001 2016-07-01 2016 7 1 Bill Price Level 2 NULL
1001 2016-07-02 2016 7 2 Bill Price Level 2 NULL
1001 2016-07-03 2016 7 3 Bill Price Level 2 NULL
1001 2016-07-04 2016 7 4 Bill Price Level 2 NULL
1001 2016-07-05 2016 7 5 Bill Price Level 2 2016-06-12 08:30:00.000
1001 2016-07-06 2016 7 6 Bill Price Level 2 NULL
1001 2016-07-07 2016 7 7 Bill Price Level 2 NULL
1001 2016-07-08 2016 7 8 Bill Price Level 2 NULL
1001 2016-07-09 2016 7 9 Bill Price Level 2 NULL
1001 2016-07-10 2016 7 10 Bill Price Level 2 NULL
1001 2016-07-11 2016 7 11 Bill Price Level 2 NULL
1001 2016-07-12 2016 7 12 Bill Price Level 2 NULL
1001 2016-07-13 2016 7 13 Bill Price Level 2 NULL
1001 2016-07-14 2016 7 14 Bill Price Level 2 NULL
1001 2016-07-15 2016 7 15 Bill Price Level 2 NULL
1001 2016-07-16 2016 7 16 Bill Price Level 2 NULL
1001 2016-07-17 2016 7 17 Bill Price Level 2 NULL
1001 2016-07-18 2016 7 18 Bill Price Level 2 NULL
1001 2016-07-19 2016 7 19 Bill Price Level 2 NULL
1001 2016-07-20 2016 7 20 Bill Price Level 2 NULL
1001 2016-07-21 2016 7 21 Bill Price Level 2 NULL
1001 2016-07-22 2016 7 22 Bill Price Level 2 NULL
1001 2016-07-23 2016 7 23 Bill Price Level 2 NULL
1001 2016-07-24 2016 7 24 Bill Price Level 2 NULL
1001 2016-07-25 2016 7 25 Bill Price Level 2 NULL
1001 2016-07-26 2016 7 26 Bill Price Level 2 NULL
1001 2016-07-27 2016 7 27 Bill Price Level 2 NULL
1001 2016-07-28 2016 7 28 Bill Price Level 2 NULL
1001 2016-07-29 2016 7 29 Bill Price Level 2 NULL
1001 2016-07-30 2016 7 30 Bill Price Level 2 NULL
1001 2016-07-31 2016 7 31 Bill Price Level 2 NULL
1002 2016-06-01 2016 6 1 Mary Somers Level 1 2016-06-01 08:30:00.000
1002 2016-06-02 2016 6 2 Mary Somers Level 1 NULL
1002 2016-06-03 2016 6 3 Mary Somers Level 1 NULL
1002 2016-06-04 2016 6 4 Mary Somers Level 1 NULL
1002 2016-06-05 2016 6 5 Mary Somers Level 1 2016-06-05 08:30:00.000
1002 2016-06-06 2016 6 6 Mary Somers Level 1 NULL
1002 2016-06-07 2016 6 7 Mary Somers Level 1 NULL
1002 2016-06-08 2016 6 8 Mary Somers Level 1 2016-06-08 08:30:00.000
1002 2016-06-09 2016 6 9 Mary Somers Level 1 NULL
1002 2016-06-10 2016 6 10 Mary Somers Level 1 NULL
1002 2016-06-11 2016 6 11 Mary Somers Level 1 NULL
1002 2016-06-12 2016 6 12 Mary Somers Level 1 NULL
1002 2016-06-13 2016 6 13 Mary Somers Level 1 NULL
1002 2016-06-14 2016 6 14 Mary Somers Level 1 NULL
1002 2016-06-15 2016 6 15 Mary Somers Level 1 NULL
1002 2016-06-16 2016 6 16 Mary Somers Level 1 NULL
1002 2016-06-17 2016 6 17 Mary Somers Level 1 NULL
1002 2016-06-18 2016 6 18 Mary Somers Level 1 NULL
1002 2016-06-19 2016 6 19 Mary Somers Level 1 NULL
1002 2016-06-20 2016 6 20 Mary Somers Level 1 NULL
1002 2016-06-21 2016 6 21 Mary Somers Level 1 NULL
1002 2016-06-22 2016 6 22 Mary Somers Level 1 NULL
1002 2016-06-23 2016 6 23 Mary Somers Level 1 NULL
1002 2016-06-24 2016 6 24 Mary Somers Level 1 NULL
1002 2016-06-25 2016 6 25 Mary Somers Level 1 NULL
1002 2016-06-26 2016 6 26 Mary Somers Level 1 NULL
1002 2016-06-27 2016 6 27 Mary Somers Level 1 NULL
1002 2016-06-28 2016 6 28 Mary Somers Level 1 NULL
1002 2016-06-29 2016 6 29 Mary Somers Level 1 NULL
1002 2016-06-30 2016 6 30 Mary Somers Level 1 NULL
1003 2016-06-01 2016 6 1 Mark Jones Level 1 NULL
1003 2016-06-02 2016 6 2 Mark Jones Level 1 NULL
1003 2016-06-03 2016 6 3 Mark Jones Level 1 2016-06-03 08:30:00.000
1003 2016-06-04 2016 6 4 Mark Jones Level 1 2016-06-05 08:30:00.000
1003 2016-06-05 2016 6 5 Mark Jones Level 1 NULL
1003 2016-06-06 2016 6 6 Mark Jones Level 1 NULL
1003 2016-06-07 2016 6 7 Mark Jones Level 1 NULL
1003 2016-06-08 2016 6 8 Mark Jones Level 1 NULL
1003 2016-06-09 2016 6 9 Mark Jones Level 1 NULL
1003 2016-06-10 2016 6 10 Mark Jones Level 1 NULL
1003 2016-06-11 2016 6 11 Mark Jones Level 1 NULL
1003 2016-06-12 2016 6 12 Mark Jones Level 1 NULL
1003 2016-06-13 2016 6 13 Mark Jones Level 1 NULL
1003 2016-06-14 2016 6 14 Mark Jones Level 1 NULL
1003 2016-06-15 2016 6 15 Mark Jones Level 1 NULL
1003 2016-06-16 2016 6 16 Mark Jones Level 1 NULL
1003 2016-06-17 2016 6 17 Mark Jones Level 1 NULL
1003 2016-06-18 2016 6 18 Mark Jones Level 1 NULL
1003 2016-06-19 2016 6 19 Mark Jones Level 1 NULL
1003 2016-06-20 2016 6 20 Mark Jones Level 1 NULL
1003 2016-06-21 2016 6 21 Mark Jones Level 1 NULL
1003 2016-06-22 2016 6 22 Mark Jones Level 1 NULL
1003 2016-06-23 2016 6 23 Mark Jones Level 1 NULL
1003 2016-06-24 2016 6 24 Mark Jones Level 1 NULL
1003 2016-06-25 2016 6 25 Mark Jones Level 1 NULL
1003 2016-06-26 2016 6 26 Mark Jones Level 1 NULL
1003 2016-06-27 2016 6 27 Mark Jones Level 1 NULL
1003 2016-06-28 2016 6 28 Mark Jones Level 1 NULL
1003 2016-06-29 2016 6 29 Mark Jones Level 1 NULL
1003 2016-06-30 2016 6 30 Mark Jones Level 1 NULL
回答2:
Sample data
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');
Query
Query uses CROSS APPLY to "insert" rows when there is a gap in dates. It duplicates the current row as many times as needed using your Tally table of numbers.
There is a special handling of the case when the @StartDate is before the date of the first row. That's why there are two SELECTs unioned together.
The CTE.PrevDate IS NULL filters only such rows and they are repeated as many times as needed.
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;
Result
+----------+------------+------------+-----------+---------+-------------------------+
| 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 |
+----------+------------+------------+-----------+---------+-------------------------+
Inserting the generated rows back into the original table
At first I didn't realise that you want to change the original table, so I wrote a SELECT query that returns a needed result set. It is easy to adjust it to INSERT query that would add new rows into the original table.
All I did is added a filter WHERE NewDate <> dt, which ensures that only new rows that didn't exist before are inserted.
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;
Result
To check the result just SELECT everything from the original table.
SELECT * FROM @Table_One ORDER BY Staff_ID, dt;
Result is the same as shown above.
回答3:
Try following query
DECLARE @Id INT = 1
DECLARE @StartDate DATETIME = '2016.06.01'
DECLARE @EndDate DATETIME = '2016.06.30'
;WITH Dates (Id, [Date])
AS(
SELECT @Id AS Id, @StartDate AS [Date]
UNION ALL
SELECT Id + 1 AS Id , DATEADD(DAY, (Id), @StartDate) AS [Date]
FROM Dates
WHERE [Date] < @EndDate
)
SELECT
Result.Staff_ID,
Result.Date,
Result.First_Name,
Result.Last_Name,
Result.Section,
MT.Time_Worked
FROM
(
SELECT
D.[Date],
A.Staff_ID ,
A.First_Name ,
A.Last_Name ,
A.Section
FROM
Dates D CROSS JOIN
(
SELECT DISTINCT
IMT.Staff_ID ,
IMT.First_Name ,
IMT.Last_Name ,
IMT.Section
FROM
MainTable IMT
) A
) Result LEFT JOIN
MainTable MT ON Result.[Date] = MT.dt AND Result.Staff_ID = MT.Staff_ID
ORDER BY
Result.Staff_ID,
Result.[Date]
来源：https://stackoverflow.com/questions/38428863/tally-table-to-insert-missing-dates-between-two-dates-sql