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Tally-Tabelle zum Einfügen fehlender Daten zwischen zwei Daten? SQL

Beispieldaten

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');

Abfrage

Abfrage verwendet CROSS APPLY zum "Einfügen" von Zeilen bei Datumslücken. Es dupliziert die aktuelle Zeile mithilfe Ihres Tally so oft wie nötig Zahlentabelle.

Es gibt eine Sonderbehandlung für den Fall, dass @StartDate vor dem Datum der ersten Zeile liegt. Deshalb gibt es zwei SELECTs zusammengeschlossen.

Das CTE.PrevDate IS NULL filtert nur solche Zeilen und sie werden so oft wie nötig wiederholt.

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;

Ergebnis

+----------+------------+------------+-----------+---------+-------------------------+
| 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                    |
+----------+------------+------------+-----------+---------+-------------------------+

Einfügen der generierten Zeilen zurück in die ursprüngliche Tabelle

Zuerst war mir nicht klar, dass Sie die ursprüngliche Tabelle ändern möchten, also habe ich ein SELECT geschrieben Abfrage, die eine benötigte Ergebnismenge zurückgibt. Es ist einfach, es auf INSERT einzustellen Abfrage, die der ursprünglichen Tabelle neue Zeilen hinzufügen würde.

Ich habe lediglich einen Filter WHERE NewDate <> dt hinzugefügt , wodurch sichergestellt wird, dass nur neue Zeilen eingefügt werden, die vorher nicht existierten.

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;

Ergebnis

Um das Ergebnis zu überprüfen, einfach SELECT alles aus der Originaltabelle.

SELECT * FROM @Table_One ORDER BY Staff_ID, dt;

Das Ergebnis ist das gleiche wie oben gezeigt.