नमूना डेटा
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');
क्वेरी
क्वेरी CROSS APPLY का उपयोग करती है तिथियों में अंतर होने पर पंक्तियों को "सम्मिलित" करने के लिए। यह आपके Tally . का उपयोग करके वर्तमान पंक्ति को जितनी बार आवश्यक हो डुप्लिकेट करता है संख्याओं की तालिका।
@StartDate . होने पर मामले को विशेष रूप से हैंडल किया जाता है पहली पंक्ति की तारीख से पहले है। इसलिए दो SELECTs हैं एक साथ मिल गए।
CTE.PrevDate IS NULL केवल ऐसी पंक्तियों को फ़िल्टर करता है और उन्हें आवश्यकतानुसार कई बार दोहराया जाता है।
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;
परिणाम
+----------+------------+------------+-----------+---------+-------------------------+
| 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 |
+----------+------------+------------+-----------+---------+-------------------------+
जेनरेट की गई पंक्तियों को वापस मूल तालिका में सम्मिलित करना
पहले तो मुझे एहसास नहीं हुआ कि आप मूल तालिका को बदलना चाहते हैं, इसलिए मैंने एक SELECT wrote लिखा क्वेरी जो एक आवश्यक परिणाम सेट लौटाती है। इसे INSERT . में समायोजित करना आसान है क्वेरी जो मूल तालिका में नई पंक्तियाँ जोड़ेगी।
मैंने केवल एक फिल्टर जोड़ा है WHERE NewDate <> dt , जो सुनिश्चित करता है कि केवल नई पंक्तियाँ डाली जाएँ जो पहले मौजूद नहीं थीं।
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;
परिणाम
रिजल्ट चेक करने के लिए बस SELECT मूल तालिका से सब कुछ।
SELECT * FROM @Table_One ORDER BY Staff_ID, dt;
परिणाम वही है जो ऊपर दिखाया गया है।
