Related
I have this question before Looping between 2 case parameters (Date Range and Row Count) | SQL Server 2012 , now I'm thinking about a scenario, what if the value has a 0.5? or .5? Will this work using ROW_NUMBER()?
I'm trying to make this work using only CASE method.
This is my old script:
DECLARE #dbApple TABLE
(
FromDate varchar(30) NOT NULL,
ToDate varchar(30) NOT NULL,
Name varchar(30) NOT NULL,
Count float(30) NOT NULL
)
INSERT INTO #dbApple (FromDate, ToDate, Name, Count)
VALUES ('2019-10-05', '2019-10-09', 'APPLE', '2.5');
(SELECT
CONVERT(date, CONVERT(date, DATEADD(D, VAL.NUMBER, FromDate))) AS Date,
DB.Name,
CASE
WHEN CONVERT(date, CONVERT(date, DATEADD(D, VAL.NUMBER, FromDate))) BETWEEN CONVERT(date, CONVERT(date, DATEADD(D, VAL.NUMBER, FromDate))) AND CONVERT(date, CONVERT(date, DATEADD(D, VAL.NUMBER, ToDate)))
THEN
CASE
WHEN ROW_NUMBER() OVER (PARTITION BY Count, FromDate, ToDate ORDER BY Count) <= Count
THEN (COUNT / COUNT)
END
END AS Count
FROM
#dbApple DB
JOIN
MASTER..SPT_VALUES VAL ON VAL.TYPE = 'P'
AND VAL.NUMBER BETWEEN 0 AND DATEDIFF(D, FromDate, ToDate))
This is the output:
This is my expected output:
Is there a way for this to work? Thank you.
You can greatly simplify your query by noting that VAL.NUMBER is already your row number (just starting at 0 instead of 1). You can then compare your Count value to VAL.NUMBER and if Count - VAL.NUMBER is greater than 1, output 1; if it's greater than 0 output the difference, otherwise output NULL. For this demo query I've simulated your numbers table with a table value constructor:
declare #dbApple TABLE(
FromDate varchar(30) NOT NULL,
ToDate varchar(30) NOT NULL,
Name varchar(30) NOT NULL,
Count float(30) NOT NULL
)
INSERT INTO #dbApple
(FromDate,ToDate,Name,Count) VALUES ('2019-10-05','2019-10-09','APPLE',2.5);
SELECT
CONVERT(date,CONVERT(date,DATEADD(D,VAL.NUMBER,FromDate))) AS Date,
Name,
CASE WHEN Count - VAL.NUMBER > 1 THEN 1
WHEN Count - VAL.NUMBER > 0 THEN Count - VAL.NUMBER
END AS Count
FROM
#dbApple D
JOIN (VALUES (0), (1), (2), (3), (4), (5)) VAL(NUMBER)
ON VAL.NUMBER BETWEEN 0 AND DATEDIFF(D, FromDate, ToDate)
Output:
Date Name Count
2019-10-05 APPLE 1
2019-10-06 APPLE 1
2019-10-07 APPLE 0.5
2019-10-08 APPLE (null)
2019-10-09 APPLE (null)
Demo on dbfiddle
EDITED:
I'm working in Sql Server 2005 and I'm trying to get a year over year (YOY) count of distinct users for the current fiscal year (say Jun 1-May 30) and the past 3 years. I'm able to do what I need by running a select statement four times, but I can't seem to find a better way at this point. I'm able to get a distinct count for each year in one query, but I need it to a cumulative distinct count. Below is a mockup of what I have so far:
SELECT [Year], COUNT(DISTINCT UserID)
FROM
(
SELECT u.uID AS UserID,
CASE
WHEN dd.ddEnd BETWEEN #yearOneStart AND #yearOneEnd THEN 'Year1'
WHEN dd.ddEnd BETWEEN #yearTwoStart AND #yearTwoEnd THEN 'Year2'
WHEN dd.ddEnd BETWEEN #yearThreeStart AND #yearThreeEnd THEN 'Year3'
WHEN dd.ddEnd BETWEEN #yearFourStart AND #yearFourEnd THEN 'Year4'
ELSE 'Other'
END AS [Year]
FROM Users AS u
INNER JOIN UserDataIDMatch AS udim
ON u.uID = udim.udim_FK_uID
INNER JOIN DataDump AS dd
ON udim.udimUserSystemID = dd.ddSystemID
) AS Data
WHERE LOWER([Year]) 'other'
GROUP BY
[Year]
I get something like:
Year1 1
Year2 1
Year3 1
Year4 1
But I really need:
Year1 1
Year2 2
Year3 3
Year4 4
Below is a rough schema and set of values (updated for simplicity). I tried to create a SQL Fiddle, but I'm getting a disk space error when I attempt to build the schema.
CREATE TABLE Users
(
uID int identity primary key,
uFirstName varchar(75),
uLastName varchar(75)
);
INSERT INTO Users (uFirstName, uLastName)
VALUES
('User1', 'User1'),
('User2', 'User2')
('User3', 'User3')
('User4', 'User4');
CREATE TABLE UserDataIDMatch
(
udimID int indentity primary key,
udim.udim_FK_uID int foreign key references Users(uID),
udimUserSystemID varchar(75)
);
INSERT INTO UserDataIDMatch (udim_FK_uID, udimUserSystemID)
VALUES
(1, 'SystemID1'),
(2, 'SystemID2'),
(3, 'SystemID3'),
(4, 'SystemID4');
CREATE TABLE DataDump
(
ddID int identity primary key,
ddSystemID varchar(75),
ddEnd datetime
);
INSERT INTO DataDump (ddSystemID, ddEnd)
VALUES
('SystemID1', '10-01-2013'),
('SystemID2', '10-01-2014'),
('SystemID3', '10-01-2015'),
('SystemID4', '10-01-2016');
Unless I'm missing something, you just want to know how many records there are where the date is less than or equal to the current fiscal year.
DECLARE #YearOneStart DATETIME, #YearOneEnd DATETIME,
#YearTwoStart DATETIME, #YearTwoEnd DATETIME,
#YearThreeStart DATETIME, #YearThreeEnd DATETIME,
#YearFourStart DATETIME, #YearFourEnd DATETIME
SELECT #YearOneStart = '06/01/2013', #YearOneEnd = '05/31/2014',
#YearTwoStart = '06/01/2014', #YearTwoEnd = '05/31/2015',
#YearThreeStart = '06/01/2015', #YearThreeEnd = '05/31/2016',
#YearFourStart = '06/01/2016', #YearFourEnd = '05/31/2017'
;WITH cte AS
(
SELECT u.uID AS UserID,
CASE
WHEN dd.ddEnd BETWEEN #yearOneStart AND #yearOneEnd THEN 'Year1'
WHEN dd.ddEnd BETWEEN #yearTwoStart AND #yearTwoEnd THEN 'Year2'
WHEN dd.ddEnd BETWEEN #yearThreeStart AND #yearThreeEnd THEN 'Year3'
WHEN dd.ddEnd BETWEEN #yearFourStart AND #yearFourEnd THEN 'Year4'
ELSE 'Other'
END AS [Year]
FROM Users AS u
INNER JOIN UserDataIDMatch AS udim
ON u.uID = udim.udim_FK_uID
INNER JOIN DataDump AS dd
ON udim.udimUserSystemID = dd.ddSystemID
)
SELECT
DISTINCT [Year],
(SELECT COUNT(*) FROM cte cteInner WHERE cteInner.[Year] <= cteMain.[Year] )
FROM cte cteMain
Concept using an existing query
I have done something similar for finding out the number of distinct customers who bought something in between years, I modified it to use your concept of year, the variables you add would be that start day and start month of the year and the start year and end year.
Technically there is a way to avoid using a loop but this is very clear and you can't go past year 9999 so don't feel like putting clever code to avoid a loop makes sense
Tips for speeding up the query
Also when matching dates make sure you are comparing dates, and not comparing a function evaluation of the column as that would mean running the function on every record set and would make indices useless if they existed on dates (which they should). Use date add on
zero to initiate your target dates subtracting 1900 from the year, one from the month and one from the target date.
Then self join on the table where the dates create a valid range (i.e. yearlessthan to yearmorethan) and use a subquery to create a sum based on that range. Since you want accumulative from the first year to the last limit the results to starting at the first year.
At the end you will be missing the first year as by our definition it does not qualify as a range, to fix this just do a union all on the temp table you created to add the missing year and the number of distinct values in it.
DECLARE #yearStartMonth INT = 6, #yearStartDay INT = 1
DECLARE #yearStart INT = 2008, #yearEnd INT = 2012
DECLARE #firstYearStart DATE =
DATEADD(day,#yearStartDay-1,
DATEADD(month, #yearStartMonth-1,
DATEADD(year, #yearStart- 1900,0)))
DECLARE #lastYearEnd DATE =
DATEADD(day, #yearStartDay-2,
DATEADD(month, #yearStartMonth-1,
DATEADD(year, #yearEnd -1900,0)))
DECLARE #firstdayofcurrentyear DATE = #firstYearStart
DECLARE #lastdayofcurrentyear DATE = DATEADD(day,-1,DATEADD(year,1,#firstdayofcurrentyear))
DECLARE #yearnumber INT = YEAR(#firstdayofcurrentyear)
DECLARE #tempTableYearBounds TABLE
(
startDate DATE NOT NULL,
endDate DATE NOT NULL,
YearNumber INT NOT NULL
)
WHILE #firstdayofcurrentyear < #lastYearEnd
BEGIN
INSERT INTO #tempTableYearBounds
VALUES(#firstdayofcurrentyear,#lastdayofcurrentyear,#yearNumber)
SET #firstdayofcurrentyear = DATEADD(year,1,#firstdayofcurrentyear)
SET #lastdayofcurrentyear = DATEADD(year,1,#lastdayofcurrentyear)
SET #yearNumber = #yearNumber + 1
END
DECLARE #tempTableCustomerCount TABLE
(
[Year] INT NOT NULL,
[CustomerCount] INT NOT NULL
)
INSERT INTO #tempTableCustomerCount
SELECT
YearNumber as [Year],
COUNT(DISTINCT CustomerNumber) as CutomerCount
FROM Ticket
JOIN #tempTableYearBounds ON
TicketDate >= startDate AND TicketDate <=endDate
GROUP BY YearNumber
SELECT * FROM(
SELECT t2.Year as [Year],
(SELECT
SUM(CustomerCount)
FROM #tempTableCustomerCount
WHERE Year>=t1.Year
AND Year <=t2.Year) AS CustomerCount
FROM #tempTableCustomerCount t1 JOIN #tempTableCustomerCount t2
ON t1.Year < t2.Year
WHERE t1.Year = #yearStart
UNION
SELECT [Year], [CustomerCount]
FROM #tempTableCustomerCount
WHERE [YEAR] = #yearStart
) tt
ORDER BY tt.Year
It isn't efficient but at the end the temp table you are dealing with is so small I don't think it really matters, and adds a lot more versatility versus the method you are using.
Update: I updated the query to reflect the result you wanted with my data set, I was basically testing to see if this was faster, it was faster by 10 seconds but the dataset I am dealing with is relatively small. (from 12 seconds to 2 seconds).
Using your data
I changed the tables you gave to temp tables so it didn't effect my environment and I removed the foreign key because they are not supported for temp tables, the logic is the same as the example included but just changed for your dataset.
DECLARE #startYear INT = 2013, #endYear INT = 2016
DECLARE #yearStartMonth INT = 10 , #yearStartDay INT = 1
DECLARE #startDate DATETIME = DATEADD(day,#yearStartDay-1,
DATEADD(month, #yearStartMonth-1,
DATEADD(year,#startYear-1900,0)))
DECLARE #endDate DATETIME = DATEADD(day,#yearStartDay-1,
DATEADD(month,#yearStartMonth-1,
DATEADD(year,#endYear-1899,0)))
DECLARE #tempDateRangeTable TABLE
(
[Year] INT NOT NULL,
StartDate DATETIME NOT NULL,
EndDate DATETIME NOT NULL
)
DECLARE #currentDate DATETIME = #startDate
WHILE #currentDate < #endDate
BEGIN
DECLARE #nextDate DATETIME = DATEADD(YEAR, 1, #currentDate)
INSERT INTO #tempDateRangeTable(Year,StartDate,EndDate)
VALUES(YEAR(#currentDate),#currentDate,#nextDate)
SET #currentDate = #nextDate
END
CREATE TABLE Users
(
uID int identity primary key,
uFirstName varchar(75),
uLastName varchar(75)
);
INSERT INTO Users (uFirstName, uLastName)
VALUES
('User1', 'User1'),
('User2', 'User2'),
('User3', 'User3'),
('User4', 'User4');
CREATE TABLE UserDataIDMatch
(
udimID int indentity primary key,
udim.udim_FK_uID int foreign key references Users(uID),
udimUserSystemID varchar(75)
);
INSERT INTO UserDataIDMatch (udim_FK_uID, udimUserSystemID)
VALUES
(1, 'SystemID1'),
(2, 'SystemID2'),
(3, 'SystemID3'),
(4, 'SystemID4');
CREATE TABLE DataDump
(
ddID int identity primary key,
ddSystemID varchar(75),
ddEnd datetime
);
INSERT INTO DataDump (ddSystemID, ddEnd)
VALUES
('SystemID1', '10-01-2013'),
('SystemID2', '10-01-2014'),
('SystemID3', '10-01-2015'),
('SystemID4', '10-01-2016');
DECLARE #tempIndividCount TABLE
(
[Year] INT NOT NULL,
UserCount INT NOT NULL
)
-- no longer need to filter out other because you are using an
--inclusion statement rather than an exclusion one, this will
--also make your query faster (when using real tables not temp ones)
INSERT INTO #tempIndividCount(Year,UserCount)
SELECT tdr.Year, COUNT(DISTINCT UId) FROM
Users u JOIN UserDataIDMatch um
ON um.udim_FK_uID = u.uID
JOIN DataDump dd ON
um.udimUserSystemID = dd.ddSystemID
JOIN #tempDateRangeTable tdr ON
dd.ddEnd >= tdr.StartDate AND dd.ddEnd < tdr.EndDate
GROUP BY tdr.Year
-- will show you your result
SELECT * FROM #tempIndividCount
--add any ranges that did not have an entry but were in your range
--can easily remove this by taking this part out.
INSERT INTO #tempIndividCount
SELECT t1.Year,0 FROM
#tempDateRangeTable t1 LEFT OUTER JOIN #tempIndividCount t2
ON t1.Year = t2.Year
WHERE t2.Year IS NULL
SELECT YearNumber,UserCount FROM (
SELECT 'Year'+CAST(((t2.Year-t1.Year)+1) AS CHAR) [YearNumber] ,t2.Year,(
SELECT SUM(UserCount)
FROM #tempIndividCount
WHERE Year >= t1.Year AND Year <=t2.Year
) AS UserCount
FROM #tempIndividCount t1
JOIN #tempIndividCount t2
ON t1.Year < t2.Year
WHERE t1.Year = #startYear
UNION ALL
--add the missing first year, union it to include the value
SELECT 'Year1',Year, UserCount FROM #tempIndividCount
WHERE Year = #startYear) tt
ORDER BY tt.Year
Benefits over using a WHEN CASE based approach
More Robust
Do not need to explicitly determine the end and start dates of each year, just like in a logical year just need to know the start and end date. Can easily change what you are looking for with some simple modifications(i.e. say you want all 2 year ranges or 3 year).
Will be faster if the database is indexed properly
Since you are searching based on the same data type you can utilize the indices that should be created on the date columns in the database.
Cons
More Complicated
The query is a lot more complicated to follow, even though it is more robust there is a lot of extra logic in the actual query.
In some circumstance will not provide good boost to execution time
If the dataset is very small, or the number of dates being compared isn't significant then this could not save enough time to be worth it.
In SQL Server once you match a WHEN inside a CASE, it stop evaluating will not going on evaluating next WHEN clauses. Hence you can't accumulate that way.
if I understand you correctly, this would show your results.
;WITH cte AS
(F
SELECT dd.ddEnd [dateEnd], u.uID AS UserID
FROM Users AS u
INNER JOIN UserDataIDMatch AS udim
ON u.uID = udim.udim_FK_uID
INNER JOIN DataDump AS dd
ON udim.udimUserSystemID = dd.ddSystemID
WHERE ddEnd BETWEEN #FiscalYearStart AND #FiscalYearEnd3
)
SELECT datepart(year, #FiscalYearStart) AS [Year], COUNT(DISTINCT UserID) AS CntUserID
FROM cte
WHERE dateEnd BETWEEN #FiscalYearStart AND #FiscalYearEnd1
GROUP BY #FiscalYearStart
UNION
SELECT datepart(year, #FiscalYearEnd1) AS [Year], COUNT(DISTINCT UserID) AS CntUserID
FROM cte
WHERE dateEnd BETWEEN #FiscalYearStart AND #FiscalYearEnd2
GROUP BY #FiscalYearEnd1
UNION
SELECT datepart(year, #FiscalYearEnd3) AS [Year], COUNT(DISTINCT UserID) AS CntUserID
FROM cte
WHERE dateEnd BETWEEN #FiscalYearStart AND #FiscalYearEnd3
GROUP BY #FiscalYearEnd2
I got question to split date, month year, dayname from datetime by using trigger, when I insert a datetime, then in next column will split date, time, month year dayname and count year (to know how old the man in my data) is that possible ?
For example, if I insert
INSERT INTO MAN VALUES ('04/06/1982')
then will be like this
DATETIME DATE MONTH YEAR DAYNAME AGE
04/06/1982 00:00:00 04 06 1982 friday 27
Try this :-
Declare #myDate datetime
set #myDate='19820604' --YYYYMMDD
Select #myDate as DateTime,
datename(day,#myDate) as Date,
month(#myDate) as Month,
datename(year,#myDate) as Year,
Datename(weekday,#myDate) as DayName,
DATEDIFF ( year , #myDate , getdate() ) as Age
Result
╔══════════════════════════════╦══════╦═══════╦══════╦═════════╦══════════╗
║ DateTime ║ DATE ║ MONTH ║ YEAR ║ DAYNAME ║ Age ║
╠══════════════════════════════╬══════╬═══════╬══════╬═════════╬══════════╣
║ April, 06 1982 00:00:00+0000 ║ 4 ║ 6 ║ 1982 ║ Friday ║ 31 ║
╚══════════════════════════════╩══════╩═══════╩══════╩═════════╩══════════╝
SQL Fiddle Demo
The code has been slightky altered to give the age correctly.
Select myDate,myDateDate,myDateMonth,myDateYear,myDateDayName, Convert(varchar(50),Age)+ ' Years and '+Convert(varchar(50),nodays) +'days' {Age] from
(
Select #myDate as myDate,
datename(day,#myDate) as myDateDate,
month(#myDate) as myDateMonth,
datename(year,#myDate) as myDateYear,
Datename(weekday,#myDate) as myDateDayName,
DATEDIFF ( year , #myDate , getdate() ) Age ,
DATEDIFF ( dd , #myDate , getdate() ) -365* DATEDIFF ( year , #myDate , getdate() ) as nodays
) As a
Thanks
Arun
Here there are two approaches for solving the issue:
- Approach 1:
you can add some computed columns in to your table, so when you retrieve the table contents the other remaining fields are computed in that time.
-- 1.1) Create the base of table 'MAN'
CREATE TABLE [dbo].[MAN](
[DATETIME] [datetime] NOT NULL
) ON [PRIMARY]
GO
-- 1.2) Insert a record in it
INSERT INTO MAN VALUES ('04/06/1982')
GO
-- 1.3) Add some computed columns
ALTER TABLE MAN
ADD
[DAY] AS DATENAME(DAY, [DATETIME]),
[MONTH] AS MONTH([DATETIME]),
[YEAR] AS DATENAME(YEAR, [DATETIME]),
[DAYNAME] AS DATENAME(WEEKDAY, [DATETIME]),
[AGE] AS DATEDIFF(YEAR, [DATETIME], GETDATE())
GO
-- 1.4) See the result
SELECT * FROM MAN
- Approach 2:
While you creating the table, you add the remaining fields that you need, so that in the next phase you add insert/update triggers in order to calculate the remaining fields and insert/update them.
-- 2.1) Create the table 'MAN' with all needed columns
CREATE TABLE [dbo].[MAN](
[DATETIME] [datetime] NOT NULL,
[DAY] [int] NULL,
[MONTH] [int] NULL,
[YEAR] [int] NULL,
[DAYNAME] [nvarchar](10) NULL,
[AGE] [int] NULL
) ON [PRIMARY]
GO
-- 2.2) Create Insert and update triggers in order to calculate the values of the rest fields while inserting/updating
CREATE TRIGGER [dbo].[trCalculateRemainingDateFields] ON MAN
AFTER INSERT, UPDATE
AS
BEGIN
SET NOCOUNT ON;
UPDATE MAN
SET
[DAY] = DATENAME(DAY, MAN.[DATETIME]),
[MONTH] = MONTH(MAN.[DATETIME]),
[YEAR] = DATENAME(YEAR, MAN.[DATETIME]),
[DAYNAME] = DATENAME(WEEKDAY, MAN.[DATETIME]),
[AGE] = DATEDIFF(YEAR, MAN.[DATETIME], GETDATE())
FROM Inserted i
WHERE i.[DATETIME] = MAN.[DATETIME]
END
GO
-- 2.3) Insert a record in it
INSERT INTO MAN ([DATETIME]) VALUES ('04/06/1985')
GO
-- 2.4) See the result
SELECT * FROM MAN
- Approach 3:
Creating a view of the main table which calculate the remaining fields can be a good option.
-- 3.1) Create the base of table 'MAN'
CREATE TABLE [dbo].[MAN](
[DATETIME] [datetime] NOT NULL
) ON [PRIMARY]
GO
-- 3.2) Insert a record in it
INSERT INTO MAN VALUES ('04/06/1982')
GO
-- 3.3) Create a view which is contained the remaining fields
CREATE VIEW dbo.vMAN
AS
SELECT [DATETIME],
DATENAME(DAY, [DATETIME]) AS [DAY],
MONTH([DATETIME]) AS [MONTH],
DATENAME(YEAR, [DATETIME]) AS [YEAR],
DATENAME(WEEKDAY, [DATETIME]) AS [DAYNAME],
DATEDIFF(YEAR, [DATETIME], GETDATE()) AS [AGE]
FROM MAN
GO
-- 3.4) See the result
SELECT * FROM vMAN
I'm working on a system (ASP.NET/MSSQL/C#) for scheduling restaurant employees.
The problem I'm having is I need to "auto-rotate" the shift "InTimes" every week.
The user needs to be able to copy one day's schedule to the same day next week with all the employee shift times rotated one slot.
For example, in the table below, Monica has the 10:30am shift this Monday, so she would have the 11:00am next week, and Adam would go from 12:00pm to 10:30am.
The time between shifts is not constant, nor is the number of employees on each shift.
Any ideas on how to do this (ideally with SQL statements) would be greatly appreciated.
Please keep in mind I'm a relative novice.
RecordID EmpType Date Day Meal ShiftOrder InTime EmployeeID
1 Server 29-Aug-11 Monday Lunch 1 10:30:00 AM Monica
2 Server 29-Aug-11 Monday Lunch 2 11:00:00 AM Sofia
3 Server 29-Aug-11 Monday Lunch 3 11:30:00 AM Jenny
4 Server 29-Aug-11 Monday Lunch 4 12:00:00 PM Adam
5 Server 29-Aug-11 Monday Dinner 1 4:30:00 PM Adam
6 Server 29-Aug-11 Monday Dinner 2 4:45:00 PM Jenny
7 Server 29-Aug-11 Monday Dinner 3 5:00:00 PM Shauna
8 Server 29-Aug-11 Monday Dinner 4 5:15:00 PM Sofia
10 Server 29-Aug-11 Monday Dinner 5 5:30:00 PM Monica
Somehow an employee would need to get his last (few) shifts
SELECT TOP 3 * FROM shift WHERE EmployeeID LIKE 'monica' ORDER BY [date] DESC
Next he/she would need to enter the time and date offset he would like to work next week, relative to a schedule before.
INSERT INTO shift SELECT
recordID
,[date]
,CASE [Intime]
WHEN [Intime] BETWEEN 00:00 AND 10:00 THEN 'Breakfast'
WHEN [Intime] BETWEEN 10:01 AND 04:29 THEN 'Lunch'
WHEN [Intime] BETWEEN 04:30 AND 23:59 THEN 'Dinner'
END as Meal
,No_idea_how_to_generate_this AS ShiftOrder
,[Intime]
,EmployeeID
FROM (SELECT
NULL as recordID
,DATEADD(DAY, 7+#dateoffset, ls.[date]) as [date]
,CAST(DATEADD(MINUTE, #timeoffset, ls.[time] AS TIME) as [Intime]
,EmployeeId
FROM Shift WHERE recordID = #recordID ) AS subselect
Here:
- #recordID is the record the employee choose as the starting point for the new appointment.
- #dateoffset is the number of days to add the the starting record
- #timeoffset is the number of minutes to add to the starting record
All the rest is determined by the row the user used as the starting point.
Here's what I came up with:
CREATE TABLE #tmp
(
[RecordID] INT ,
[EmpType] VARCHAR(20) ,
[Date] DATE ,
[Day] VARCHAR(10) ,
[Meal] VARCHAR(10) ,
[ShiftOrder] INT ,
[InTime] TIME ,
[EmployeeID] VARCHAR(50)
)
INSERT INTO [#tmp]
( [RecordID] ,
[EmpType] ,
[Date] ,
[Day] ,
[Meal] ,
[ShiftOrder] ,
[InTime] ,
[EmployeeID]
)
VALUES (1,'Server','29-Aug-11','Monday','Lunch',1,'10:30:00 AM','Monica'),
(2,'Server','29-Aug-11','Monday','Lunch',2,'11:00:00 AM','Sofia'),
(3,'Server','29-Aug-11','Monday','Lunch',3,'11:30:00 AM','Jenny'),
(4,'Server','29-Aug-11','Monday','Lunch',4,'12:00:00 PM','Adam'),
(5,'Server','29-Aug-11','Monday','Dinner',1,'4:30:00 PM','Adam'),
(6,'Server','29-Aug-11','Monday','Dinner',2,'4:45:00 PM','Jenny'),
(7,'Server','29-Aug-11','Monday','Dinner',3,'5:00:00 PM','Shauna'),
(8,'Server','29-Aug-11','Monday','Dinner',4,'5:15:00 PM','Sofia'),
(10,'Server','29-Aug-11','Monday','Dinner',5,'5:30:00 PM','Monica');
WITH CountByShift AS (SELECT *, COUNT(1) OVER (PARTITION BY EmpType, [Day], [Meal]) AS [CountByShiftByDayByEmpType]
FROM [#tmp]
),
NewShiftOrder AS (
SELECT *, ([ShiftOrder] + 1) % [CountByShiftByDayByEmpType] AS [NewShiftOrder]
FROM [CountByShift]
)
SELECT [RecordID] ,
[EmpType] ,
[Date] ,
[Day] ,
[Meal] ,
[ShiftOrder] ,
CASE WHEN [NewShiftOrder] = 0 THEN [CountByShiftByDayByEmpType] ELSE [NewShiftOrder] END AS [NewShiftOrder],
[InTime] ,
[EmployeeID]
FROM NewShiftOrder
ORDER BY [RecordID]
You need a table with all of the shifts in it:
create table dbo.Shifts (
[Day] varchar(9) not null,
Meal varchar(6) not null,
ShiftOrder integer not null,
InTime time not null,
constraint PK__dbo_Shifts primary key ([Day], Meal, ShiftOrder)
);
If that table is properly populated you can then run this to get a map of the current Day, Meal, ShiftOrder n-tuple to the next in that Day, Meal pair:
with numbers_per_shift as (
select [Day], Meal, max(ShiftOrder) as ShiftOrderCount
from dbo.Shifts s
group by [Day], Meal
)
select s.[Day], s.Meal, s.ShiftOrder,
s.ShiftOrder % n.ShiftOrderCount + 1 as NextShiftOrder
from dbo.Shifts as s
inner join numbers_per_shift as n
on s.[Day] = n.[Day]
and s.Meal = n.Meal;
For the table to be properly populated each of the shift orders would have to begin with one and increase by one with no skipping or repeating within a Day, Meal pair.
Borrowing most of the #tmp table definition from #Ben Thul, assuming you have an identity field, not assuming you are storing dates and times as dates and times...this should run well over and over, copying the latest date into the following week:
CREATE TABLE #tmp
(
[RecordID] INT ,
[EmpType] VARCHAR(20) ,
[Date] VARCHAR(9) ,
[Day] VARCHAR(10) ,
[Meal] VARCHAR(10) ,
[ShiftOrder] INT ,
[InTime] VARCHAR(11) ,
[EmployeeID] VARCHAR(50)
)
INSERT INTO [#tmp]
( [RecordID] ,
[EmpType] ,
[Date] ,
[Day] ,
[Meal] ,
[ShiftOrder] ,
[InTime] ,
[EmployeeID]
)
VALUES (1,'Server','29-Aug-11','Monday','Lunch',1,'10:30:00 AM','Monica'),
(2,'Server','29-Aug-11','Monday','Lunch',2,'11:00:00 AM','Sofia'),
(3,'Server','29-Aug-11','Monday','Lunch',3,'11:30:00 AM','Jenny'),
(4,'Server','29-Aug-11','Monday','Lunch',4,'12:00:00 PM','Adam'),
(5,'Server','29-Aug-11','Monday','Dinner',1,' 4:30:00 PM','Adam'),
(6,'Server','29-Aug-11','Monday','Dinner',2,' 4:45:00 PM','Jenny'),
(7,'Server','29-Aug-11','Monday','Dinner',3,' 5:00:00 PM','Shauna'),
(8,'Server','29-Aug-11','Monday','Dinner',4,' 5:15:00 PM','Sofia'),
(10,'Server','29-Aug-11','Monday','Dinner',5,' 5:30:00 PM','Monica');
with
Shifts as (
select EmpType, [Day], Meal, ShiftOrder, InTime
from #tmp
where [Date] = (select max(cast([Date] as datetime)) from #tmp)
),
MaxShifts as (
select EmpType, [Day], Meal, max(ShiftOrder) as MaxShiftOrder
from #tmp
where [Date] = (select max(cast([Date] as datetime)) from #tmp)
group by EmpType, [Day], Meal
)
insert into #tmp (EmpType, [Date], [Day], Meal, ShiftOrder, InTime, EmployeeID)
select s.EmpType
, replace(convert(varchar(11), dateadd(dd, 7, cast(a.[Date] as datetime)), 6), ' ', '-') as [Date]
, s.Day
, s.Meal
, s.ShiftOrder
, s.InTime
, a.EmployeeID
from #tmp as a
join MaxShifts as m on a.EmpType = m.EmpType
and a.[Day] = m.[Day]
and a.Meal = m.Meal
join Shifts as s on a.EmpType = s.EmpType
and a.[Day] = s.[Day]
and a.Meal = s.Meal
and 1 + a.ShiftOrder % m.MaxShiftOrder = s.ShiftOrder
where a.[Date] = (select max(cast([Date] as datetime)) from #tmp)
I'm assuming that the schedule is really tied to a meal and weekday in a below answer.
Also I would like to note that ShiftOrder and Day columns should not be columns. Day is obviously determined by Date so it is a total waste of space (computed column OR determine it on the UI side) and ShiftOrder is determined by Date and InTime columns (probably easy to calculate in a query with RANK() function or on the UI side). That said it will make this query a bit easier :)
declare #dt date = cast('29-Aug-11' as date)
/* note: the date above may be passed from UI or it maybe calculated based on getdate() and dateadd function or s.t. like that */
INSERT INTO [table] (EmpType,Date,Day,Meal,ShiftOrder,InTime,EmployeeID)
SELECT t1.EmpType, dateadd(day, 7, t1.date), t1.day, t1.meal, t2.ShiftOrder, t2.InTime, t1.EmployeeID
FROM [table] t1
INNER JOIN [table] t2
ON (t1.Date = t2.Date
and t1.Meal = t2.Meal
and (
t1.ShiftOrder = t2.ShiftOrder + 1
or
(
t1.ShiftOrder = (select max(shiftOrder) from [table] where meal = t1.meal and date =t1.date)
and
t2.ShiftOrder = (select min(shiftOrder) from [table] where meal = t1.meal and date =t1.date)
)
)
)
WHERE t1.Date = #dt
This is a pretty straight-forward set-oriented problem. Aggregations (count(*) and max()) and lookup tables are unnecessary. You can do it with one SQL statement.
The first step (set) is to identity those employees who simply slide down in the schedule.
The next step (set) is to identity those employees who need to "wrap around" to the head of the schedule.
Here's what I came up with:
/* Set up the temp table for demo purposes */
DROP TABLE #tmp
CREATE TABLE #tmp
(
[RecordID] INT ,
[EmpType] VARCHAR(20) ,
[Date] DATE ,
[Day] VARCHAR(10) ,
[Meal] VARCHAR(10) ,
[ShiftOrder] INT ,
[InTime] TIME,
[EmployeeID] VARCHAR(50)
)
INSERT INTO [#tmp]
( [RecordID] ,
[EmpType] ,
[Date] ,
[Day] ,
[Meal] ,
[ShiftOrder] ,
[InTime] ,
[EmployeeID]
)
VALUES (1,'Server','29-Aug-11','Monday','Lunch',1,'10:30:00 AM','Monica'),
(2,'Server','29-Aug-11','Monday','Lunch',2,'11:00:00 AM','Sofia'),
(3,'Server','29-Aug-11','Monday','Lunch',3,'11:30:00 AM','Jenny'),
(4,'Server','29-Aug-11','Monday','Lunch',4,'12:00:00 PM','Adam'),
(5,'Server','29-Aug-11','Monday','Dinner',1,' 4:30:00 PM','Adam'),
(6,'Server','29-Aug-11','Monday','Dinner',2,' 4:45:00 PM','Jenny'),
(7,'Server','29-Aug-11','Monday','Dinner',3,' 5:00:00 PM','Shauna'),
(8,'Server','29-Aug-11','Monday','Dinner',4,' 5:15:00 PM','Sofia'),
(10,'Server','29-Aug-11','Monday','Dinner',5,' 5:30:00 PM','Monica');
/* the "fills" CTE will find those employees who "wrap around" */
;WITH fills AS (
SELECT
[d2].[EmpType],
[d2].[Date],
[d2].[Day],
[d2].[Meal],
1 AS [ShiftOrder],
[d2].[InTime],
[d2].[EmployeeID]
FROM
[#tmp] d1
RIGHT OUTER JOIN
[#tmp] d2 ON
([d1].[Meal] = [d2].[Meal])
AND ([d1].[ShiftOrder] = [d2].[ShiftOrder] + 1)
WHERE
[d1].[EmployeeID] IS NULL
)
INSERT INTO [table] (EmpType,Date,Day,Meal,ShiftOrder,InTime,EmployeeID)
SELECT
[d1].[EmpType],
DATEADD(DAY, 7, [d1].[Date]) AS [Date],
DATENAME(dw,(DATEADD(DAY, 7, [d1].[Date]))) AS [Day],
[d1].[Meal],
[d1].[ShiftOrder],
[d1].[InTime],
ISNULL([d2].[EmployeeID], [f].[EmployeeID]) AS [EmployeeID]
FROM
[#tmp] d1
LEFT OUTER JOIN
[#tmp] d2 ON
([d1].[Meal] = [d2].[Meal]) AND ([d1].[ShiftOrder] = [d2].[ShiftOrder] + 1)
LEFT OUTER JOIN
[fills] f ON
([d1].[Meal] = [f].[Meal]) AND ([d1].[ShiftOrder] = [f].[ShiftOrder])
You can use a subquery (for a tutorial on subqueries, see http://www.databasejournal.com/features/mssql/article.php/3464481/Using-a-Subquery-in-a-T-SQL-Statement.htm) to get the last shift time.
After this, its trivial addition and modular division (in case you don't know what that is, have a look at this).
Hope this helped. I'm a bit tired right now, so I can't provide you with an example.
I'm a SQL programmer and DBA for 20 yrs now. With that said, business logic this complex should be in the C# part of the system. Then the TDD built application can handle the inevitable changes, and still be refactor-able and correct.
My recommendation is 'push-back'. Your response should be something along the lines of "This isn't just some look-up/fill-in the blank logic. This kind of complex business logic belongs in the App". It belongs in something that can be unit tested, and will be unit tested every time its changed.
The right answer sometimes is 'No', this is one of them.
How about using a Pivot Table for all employees and then adding shift timings as rows?? Order the names based on Shift for the initial Day.
Something like this..
Date_time Shift_Order Monica Sofia Jenny Adam Shauna
08/29/11 1 10:30AM 11:00AM 11:30AM 12:00PM NULL
08/29/11 2 5:30PM 5:15PM 4:45PM 4:30PM 5:00PM
(Using SQL Server 2008)
I need some help visualizing a solution. Let's say I have the following simple table for members of a pension scheme:
[Date of Birth] [Date Joined] [Date Left]
1970/06/1 2003/01/01 2007/03/01
I need to calculate the number of lives in each age group from 2000 to 2009.
NOTE: "Age" is defined as "age last birthday" (or "ALB") on 1 January of each of those yeasrs. e.g. if you are exactly 41.35 or 41.77 etc. years old on 1/1/2009 then you would be ALB 41.
So if the record above were the only entry in the database, then the output would be something like:
[Year] [Age ] [Number of Lives]
2003 32 1
2004 33 1
2005 34 1
2006 35 1
2007 36 1
(For 2000, 2001, 2002, 2008 and 2009 there are no lives on file since the sole member only joined on 1/1/2003 and left on 1/3/2007)
I hope I am making myself clear enough.
Anyone have any suggestions?
Thanks, Karl
[EDIT]
Adding another layer to the problem:
What if I had:
[Date of Birth] [Date Joined] [Date Left] [Gender] [Pension Value]
1970/06/1 2003/01/01 2007/03/01 'M' 100,000
and I want the output to be:
[Year] [Age ] [Gender] sum([Pension Value]) [Number of Lives]
2003 32 M 100,000 1
2004 33 M 100,000 1
2005 34 M 100,000 1
2006 35 M 100,000 1
2007 36 M 100,000 1
Any ideas?
WITH years AS
(
SELECT 1900 AS y
UNION ALL
SELECT y + 1
FROM years
WHERE y < YEAR(GETDATE())
),
agg AS
(
SELECT YEAR(Dob) AS Yob, YEAR(DJoined) AS YJoined, YEAR(DLeft) AS YLeft
FROM mytable
)
SELECT y, y - Yob, COUNT(*)
FROM agg
JOIN years
ON y BETWEEN YJoined AND YLeft
GROUP BY
y, y - Yob
OPTION (MAXRECURSION 0)
People born on same year always have the same age in your model
That's why if they go at all, they always go into one group and you just need to generate one row per year for the period they stay in the program.
You can try something like this
DECLARE #Table TABLE(
[Date of Birth] DATETIME,
[Date Joined] DATETIME,
[Date Left] DATETIME
)
INSERT INTO #Table ([Date of Birth],[Date Joined],[Date Left]) SELECT '01 Jun 1970', '01 Jan 2003', '01 Mar 2007'
INSERT INTO #Table ([Date of Birth],[Date Joined],[Date Left]) SELECT '01 Jun 1979', '01 Jan 2002', '01 Mar 2008'
DECLARE #StartYear INT,
#EndYear INT
SELECT #StartYear = 2000,
#EndYear = 2009
;WITH sel AS(
SELECT #StartYear YearVal
UNION ALL
SELECT YearVal + 1
FROM sel
WHERE YearVal < #EndYear
)
SELECT YearVal AS [Year],
COUNT(Age) [Number of Lives]
FROM (
SELECT YearVal,
YearVal - DATEPART(yy, [Date of Birth]) - 1 Age
FROM sel LEFT JOIN
#Table ON DATEPART(yy, [Date Joined]) <= sel.YearVal
AND DATEPART(yy, [Date Left]) >= sel.YearVal
) Sub
GROUP BY YearVal
Try the following sample query
SET NOCOUNT ON
Declare #PersonTable as Table
(
PersonId Integer,
DateofBirth DateTime,
DateJoined DateTime,
DateLeft DateTime
)
INSERT INTO #PersonTable Values
(1, '1970/06/10', '2003/01/01', '2007/03/01'),
(1, '1970/07/11', '2003/01/01', '2007/03/01'),
(1, '1970/03/12', '2003/01/01', '2007/03/01'),
(1, '1973/07/13', '2003/01/01', '2007/03/01'),
(1, '1972/06/14', '2003/01/01', '2007/03/01')
Declare #YearTable as Table
(
YearId Integer,
StartOfYear DateTime
)
insert into #YearTable Values
(1, '1/1/2000'),
(1, '1/1/2001'),
(1, '1/1/2002'),
(1, '1/1/2003'),
(1, '1/1/2004'),
(1, '1/1/2005'),
(1, '1/1/2006'),
(1, '1/1/2007'),
(1, '1/1/2008'),
(1, '1/1/2009')
;WITH AgeTable AS
(
select StartOfYear, DATEDIFF (YYYY, DateOfBirth, StartOfYear) Age
from #PersonTable
Cross join #YearTable
)
SELECT StartOfYear, Age, COUNT (1) NumIndividuals
FROM AgeTable
GROUP BY StartOfYear, Age
ORDER BY StartOfYear, Age
First some preparation to have something to test with:
CREATE TABLE People (
ID int PRIMARY KEY
,[Name] varchar(50)
,DateOfBirth datetime
,DateJoined datetime
,DateLeft datetime
)
go
-- some data to test with
INSERT INTO dbo.People
VALUES
(1, 'Bob', '1961-04-02', '1999-01-01', '2007-05-07')
,(2, 'Sadra', '1960-07-11', '1999-01-01', '2008-05-07')
,(3, 'Joe', '1961-09-25', '1999-01-01', '2009-02-11')
go
-- helper table to hold years
CREATE TABLE dimYear (
CalendarYear int PRIMARY KEY
)
go
-- fill-in years for report
DECLARE
#yr int
,#StartYear int
,#EndYear int
SET #StartYear = 2000
SET #EndYear = 2009
SET #yr = #StartYear
WHILE #yr <= #EndYear
BEGIN
INSERT INTO dimYear (CalendarYear) values(#yr)
SET #yr =#yr+1
END
-- show test data and year tables
select * from dbo.People
select * from dbo.dimYear
go
Then a function to return person's age for each year, if the person is still an active member.
-- returns [CalendarYear], [Age] for a member, if still active member in that year
CREATE FUNCTION dbo.MemberAge(#DateOfBirth datetime, #DateLeft datetime)
RETURNS TABLE
AS
RETURN (
SELECT
CalendarYear,
CASE
WHEN DATEDIFF(dd, cast(CalendarYear AS varchar(4)) + '-01-01',#DateLeft) > 0
THEN DATEDIFF(yy, #DateOfBirth, cast(CalendarYear AS varchar(4)) + '-01-01')
ELSE -1
END AS Age
FROM dimYear
);
go
And the final query:
SELECT
a.CalendarYear AS "Year"
,a.Age AS "Age"
,count(*) AS "Number Of Lives"
FROM
dbo.People AS p
CROSS APPLY dbo.MemberAge(p.DateOfBirth, p.DateLeft) AS a
WHERE a.Age > 0
GROUP BY a.CalendarYear, a.Age
Deal with this in pieces (some random thoughts) - create views to test you dev steps if you can:
ALB - do a query that, for a given year, gives you your memeber's ALB
Member in year - another bit of query that tell you whether a member was a member in a given year
Put those two together and you should be able to create a query that says whether a person was a member in a given year and what their ALB was for that year.
Hmm, tricky - following this chain of thought what you'd then want to do is generate a table that has all the years the person was a member and their ALB in that year (and a unique id)
From 4. select year, alb, count(id) group by year, alb
I'm not sure I'm going in the right direction from about 3 though it should work.
You may find a (temporary) table of years helpful - joining things to a table of dates makes all kinds of things possible.
Not really an answer, but certainly some direction...