How to get number of employees per year - sql-server

I have a table called Mst_Employee. The fields are:
Emp_No | Emp_Name | Emp_JoiningDate | Emp_ResignedDate | Emp_Status
How do I get the No. of Employees by year for each year somebody joined or resigned? (Joined and Resigned includes by year)
E.g. result should look like this:
Year No. of Employees.
------------------------
2011 125
2012 130
2013 100

One way to solve it is with a recursive cte and group by:
DECLARE #FromYear int, #ToYear int
SELECT #FromYear = YEAR(MIN(Emp_JoiningDate)),
#ToYear = YEAR(GETDATE())
FROM Mst_Employee
;WITH CTE AS
(
SELECT #FromYear As TheYear
UNION ALL
SELECT TheYear + 1
FROM CTE
WHERE TheYear < #ToYear
)
SELECT TheYear as [Year],
COUNT
(
CASE WHEN TheYear <= YEAR(COALESCE(Emp_ResignedDate, GETDATE())) THEN
1
END
) As [No. of Employees.]
FROM CTE
INNER JOIN Mst_Employee ON(TheYear >= YEAR(Emp_JoiningDate))
GROUP BY TheYear
See fiddle here

You can achieve this with:
select y as [Year], count(*) as [No. of Employees.]
from(select Emp_No, YEAR(Emp_JoiningDate) as y from Mst_Employee
union
select Emp_No, YEAR(Emp_ResignedDate) from Mst_Employee
where Emp_ResignedDate is not null)t
group by y

Related

Get the no of records in table group by year

Consider the following data set.
table name : TBL_EMPLOYEE
EMP_NUMBER EMP_JOIN_DATE
001 2014-02-08
002 2014-03-15
003 2014-05-20
004 2015-05-24
005 2015-10-24
006 2017-01-30
007 2017-12-06
I need to get no. of joined employees in last 10 years as follows
required result
year (no of joined employees count)
2018 0
2017 2
2016 0
2015 2
2014 3
I have tried bellow sql.
SELECT top 10 DATEPART(yyyy, EMP_JOIN_DATE) AS RESIGN_YEAR,COUNT(EMP_NUMBER)AS COUNTT
FROM TBL_EMPLOYEE
WHERE DATEPART(yyyy, EMP_JOIN_DATE) <= 2018
GROUP BY DATEPART(yyyy, EMP_JOIN_DATE)
ORDER BY EMP_JOIN_DATE DESC
But it returns following result
year (no of joined employees count)
2017 2
2015 2
2014 3
#Scrat, you can use a numbers table or a SQL numbers table function as given in the referred document
Then you can use this table as the main table in FROM clause as follows
select * from dbo.NumbersTable(2008,2018,1)
Then you can simply LEFT JOIN your tables and development and join these two over years
;with cte as (
SELECT top 10 DATEPART(yyyy, EMP_JOIN_DATE) AS RESIGN_YEAR,COUNT(EMP_NUMBER)AS COUNTT
FROM TBL_EMPLOYEE
WHERE DATEPART(yyyy, EMP_JOIN_DATE) <= 2018
GROUP BY DATEPART(yyyy, EMP_JOIN_DATE)
)
select *
from dbo.NumbersTable(2008,2018,1) nt
left join cte on nt.i = cte.RESIGN_YEAR
ORDER BY EMP_JOIN_DATE DESC
Try the following query :
WITH yearlist AS
(
SELECT (DATEPART(Year,getdate())-10) as year
UNION all
SELECT yl.year + 1 as year
FROM yearlist yl
WHERE yl.year + 1 <= YEAR(GetDate())
)
SELECT Y.year ,ISNULL(A.[No of Employees],0) [No of Employees]
FROM yearlist Y
LEFT JOIN
(
SELECT YEAR(EMP_JOIN_DATE) [Year],Count(YEAR(EMP_JOIN_DATE)) [No of Employees]
FROM TBL_EMPLOYEE
WHERE DATEDIFF(YEAR,EMP_JOIN_DATE,GETDATE()) < 10
GROUP BY YEAR(EMP_JOIN_DATE)
) A ON A.Year = Y.year
ORDER BY Y.year DESC;
Hope it works!!
I have done it in another way.. Try this
SELECT #min_year = min(EMP_JOIN_DATE)
,#max_year = max(EMP_JOIN_DATE)
FROM #TBL_EMPLOYEE;
WITH CTE
AS (
SELECT datepart(year, #min_year) AS yr
UNION ALL
SELECT yr + 1
FROM CTE
WHERE yr <= datepart(year, #max_year)
)
SELECT TOP 10 yr AS RESIGN_YEAR
,COUNT(EMP_NUMBER) AS COUNTT
FROM CTE
LEFT JOIN #TBL_EMPLOYEE ON year(EMP_JOIN_DATE) = yr
WHERE yr <= 2018
GROUP BY yr
ORDER BY yr ASC
try This
DECLARE #Strt INT=2007,#End INT = 2017
;WITH YR
AS
(
SELECT
MyYear = #Strt
UNION ALL
SELECT
MyYear = MyYear+1
FROM YR
WHERE MyYear < #End
)
SELECT
YR.MyYear,
JoinCnt = COUNT(EMP.EMP_NUMBER)
FROM YR
LEFT JOIN Tbl_EmploYee EMP
ON YEAR(EMP.EMP_JOIN_DATE) = YR.MyYear
GROUP BY YR.MyYear

Find Non Consecutive date in SQL Server

I want to find the missing NON-consecutive dates between two consecutive date.
I am posting my SQL query and temp tables to find out the results.
But I am not getting the proper results
Here is my SQL Query
drop table #temp
create table #temp(an varchar(20),dt date)
insert into #temp
select '2133783715' , '2016-10-16' union all
select '5107537880' , '2016-10-15' union all
select '6619324250' , '2016-10-15' union all
select '7146586717' , '2016-10-15' union all
select '7472381321' , '2016-10-12' union all
select '7472381321' , '2016-10-13' union all
select '7472381321' , '2016-10-14' union all
select '7472381321' , '2016-10-24' union all
select '8186056340' , '2016-10-15' union all
select '9099457123' , '2016-10-12' union all
select '9099457123' , '2016-10-13' union all
select '9099457123' , '2016-10-14' union all
select '9099457123' , '2016-10-23' union all
select '9099457123' , '2016-11-01' union all
select '9099457123' , '2016-11-02' union all
select '9099457123' , '2016-11-03' union all
select '9165074784' , '2016-10-16'
drop table #final
SELECT an,MIN(dt) AS MinDate,MAX(dt) AS MaxDate, COUNT(*) AS ConsecutiveUsage
--DateDiff(Day,LAG(MAX(dt)) OVER (partition by an ORDER BY an),MAX(dt)) nonusageDate
into #final
FROM(
SELECT an,dt,
DATEDIFF(D, ROW_NUMBER() OVER(partition by an ORDER BY dt),dt) AS Diff
FROM #temp c
)P
GROUP BY an,diff
select * from #final order by 1
an MinDate MaxDate ConsecutiveUsage
2133783715 2016-10-16 2016-10-16 1
5107537880 2016-10-15 2016-10-15 1
6619324250 2016-10-15 2016-10-15 1
7146586717 2016-10-15 2016-10-15 1
7472381321 2016-10-12 2016-10-14 3
7472381321 2016-10-24 2016-10-24 1
7472381321 2016-10-27 2016-10-28 1
8186056340 2016-10-15 2016-10-15 1
9099457123 2016-10-12 2016-10-14 3
9099457123 2016-10-23 2016-10-23 1
9165074784 2016-10-16 2016-10-16 1
But I want results of non-usage date.
I want to get those AN which has not been used continuously since 10 days.
So here output should be like this:-
an minusagesdate maxusagedate ConsecutiveNotUseddays
7472381321 2016-10-15 2016-10-23 9
7472381321 2016-10-25 2016-10-26 2
9099457123 2016-10-15 2016-10-22 8
So I just want to find out only consecutive not used dates count and their min and max dates .
try this :
with ranked as (
select f1.*,
ROW_NUMBER() over(partition by an order by dt) rang
from #temp f1
where exists
(select * from #temp f2
where f1.an=f2.an and datediff( day, f2.dt, f1.dt) >1
)
)
select an, minusagesdate, maxusagesdate, ConsecutiveNotUseddays
from (
select f1.*,
DATEADD(DAY,1, (select f2.dt from ranked f2 where f1.an=f2.an and f2.rang+1=f1.rang)) minusagesdate ,
DATEADD(DAY,-1, f1.dt) maxusagesdate ,
datediff( day, (select f2.dt from ranked f2 where f1.an=f2.an and f2.rang+1=f1.rang), f1.dt) - 1 ConsecutiveNotUseddays
from ranked f1
) tmp
where tmp.ConsecutiveNotUseddays>0
or like this
with ranked as (
select f1.*,
ROW_NUMBER() over(partition by an order by dt) rang
from #temp f1
where exists
(select * from #temp f2
where f1.an=f2.an and datediff( day, f2.dt, f1.dt) >1
)
)
select f1.an,
DATEADD(DAY,1, f3.dtbefore) minusagesdate ,
DATEADD(DAY,-1, f1.dt) maxusagesdate ,
datediff( day, f3.dtbefore, f1.dt) - 1 ConsecutiveNotUseddays
from ranked f1
outer apply
(
select top 1 f2.dt as dtbefore from ranked f2
where f1.an=f2.an and f2.rang+1=f1.rang
) f3
where datediff( day, f3.dtbefore, f1.dt) - 1>0
It looks like you're trying to count the number of days not used between the mindate and the maxdate for each an. If that's the case, then this should do the trick:
select an, min(dt) as min_dt, max(dt) as max_dt
, count(distinct dt) as daysused --this counts each day used, but only once
, datediff(day,min(dt),max(dt)) as totaldays --this is the total number of days between min and max date
, datediff(day,min(dt),max(dt)) - count(distinct dt) as daysnotused
--This takes total days - used days to give non-used days
from #temp c
group by an
having datediff(day,min(dt),max(dt)) - count(distinct dt) >= 10
As I understood you need this:
;WITH cte AS (
SELECT an,
dt,
ROW_NUMBER() OVER (PARTITION BY an ORDER BY dt) as rn
FROM #temp
)
SELECT c1.an,
c1.dt MinDate,
c2.dt MaxDate,
DATEDIFF(day,c1.dt,c2.dt) as ConsecutiveNotUseddays
FROM cte c1
INNER JOIN cte c2
ON c1.an = c2.an AND c1.rn = c2.rn-1
WHERE DATEDIFF(day,c1.dt,c2.dt) >= 10
Output:
an MinDate MaxDate ConsecutiveNotUseddays
7472381321 2016-10-14 2016-10-24 10
For 9099457123 I got two rows with 9 in ConsecutiveNotUseddays. You can check results removing WHERE statement.
On any newer version of SQL Server this should be easy:
with x as (
select *, lag(dt) over(partition by an order by dt) dt_lag
from #temp
)
select *, datediff(day, dt_lag, dt)
from x
where datediff(day, dt_lag, dt) >= 10

Select N rows before and N rows after the record

I have a table where some values are stored for months and years.
Example:
Month | Year | Value
1 | 2013 | 1.86
2 | 2013 | 2.25
3 | 2013 | 2.31
...
3 | 2016 | 1.55
4 | 2016 | 1.78
Month and Year combination is a complex primary key. It is guaranteed that all values for all past years exist in the table.
User can select specific month and specific year. Let's say user selected 2014 as year and 6 as month, I need to show 15 rows before and 15 rows after the selected combination.
But if there are not enough rows (less than 15) after the selected combination than I need to get more rows before.
Basically all i need is to return 31 rows (always 31 unless there are not enough rows in the entire table) of data where the selected combination will be as close as possible to the center.
What is the proper way to do that?
Currently I'm stuck with this:
;WITH R(N) AS
(
SELECT 0
UNION ALL
SELECT N+1
FROM R
WHERE N < 29
)
SELECT * FROM MyTable e
LEFT OUTER JOIN (
SELECT N, MONTH(DATEADD(MONTH,-N,iif(#year != Year(GETDATE()), DATEFROMPARTS(#year, 12, 31) ,GETDATE()))) AS [Month],
YEAR(DATEADD(MONTH,-N,iif(#year!= Year(GETDATE()), DATEFROMPARTS(#year, 12, 31) ,GETDATE()))) AS [Year]
FROM R) s
ON s.[Year] = e.[Year] AND s.[Month] = e.[Month]
WHERE s.[N] is not null
This is not really what I want to do, since it just cuts off next year months
How about something simple like this:
;WITH CTE AS (
SELECT Month
,Year
,Value
,ROW_NUMBER() OVER (ORDER BY Year, Month) rn
FROM MyTable
)
SELECT Month
,Year
,Value
FROM CTE
WHERE rn >= (SELECT rn - 15 FROM MyTable WHERE Year = #Year AND Month = #Month)
AND rn <= (SELECT rn + 15 FROM MyTable WHERE Year = #Year AND Month = #Month);
I'm sure there's a more efficient way to do it, but this strikes me as the most maintainable way to do it. It should even work when you pick a value close to the first or last records in the table.
I can't tell if you want 31 rows no matter what. At one point it sounds like you do, and at another point it sounds like you don't.
EDIT: Ok, so you do always want 31 rows if available.
Alright, try this:
;WITH CTE AS (
SELECT Month
,Year
,Value
,ROW_NUMBER() OVER (ORDER BY Year, Month) rn
FROM MyTable
),
CTE_2 AS (
SELECT TOP (31) Month
,Year
,Value
FROM CTE
ORDER BY ABS(rn - (SELECT rn FROM MyTable WHERE Year = #Year AND Month = #Month)) ASC
)
SELECT Month
,Year
,Value
FROM CTE_2
ORDER BY Year, Month;
Basically, you calculate the difference from the target row number, get the first 31 rows there, and then resort them for output.
Check this out,
DECLARE #iPrevRows int
DECLARE #iPostRows int
DECLARE #Year int = 2016
DECLARE #Month int = 2
SELECT #iPrevRows= Count(*)
FROM
[GuestBook].[dbo].[tblTest]
where (year < #Year )
or (year =#Year and month < #Month)
SELECT #iPostRows= count(*) from
[GuestBook].[dbo].[tblTest]
where (year > #Year )
or (year =#Year and month > #Month)
if (#iPrevRows > 15)
select #iPrevRows =15
if (#iPostRows > 15)
select #iPostRows =15
if (#iPrevRows < 15 )
select #iPostRows = #iPostRows + (15-#iPrevRows)
else if (#iPostRows < 15 )
select #iPrevRows = #iPrevRows + (15-#iPostRows)
CREATE TABLE #tempValues
(
Year int NOT NULL,
Month int NOT NULL,
Value float
)
insert into #tempValues
SELECT top (#iPrevRows) Month, Year, Value
from
[GuestBook].[dbo].[tblTest]
where (year < #Year )
or (year =#Year and month < #Month)
order by 2 desc,1 desc
insert into #tempValues
SELECT Month, Year, Value
from
[GuestBook].[dbo].[tblTest]
where (year =#Year and month = #Month)
insert into #tempValues
SELECT top (#iPostRows) Month, Year, Value
from
[GuestBook].[dbo].[tblTest]
where (year > #Year )
or (year =#Year and month > #Month)
order by 2 ,1
select * from #tempValues
order by 2,1
Here is what I've done, seems to be working
select * from (
select top(31) * from MyTable r
order by ABS(DATEDIFF(month, DATEFROMPARTS(r.Year, r.Month, 1), DATEFROMPARTS(#Year, #Month, 1)))) s
order by Year, Month
I did it that way.
DECLARE #year INT = 2014, #month INT = 6;
WITH TableAux
AS (SELECT MyTable.Month
, MyTable.Year
FROM MyTable
WHERE MyTable.Year = #year
AND MyTable.Month = #month)
SELECT tb1.Month
, tb1.Year
, tb1.Value
FROM
(
SELECT TOP 16 MyTable.Month
, MyTable.Year
, MyTable.Value
FROM MyTable
CROSS JOIN TableAux
WHERE MyTable.Month <= TableAux.Month
AND MyTable.Year <= TableAux.Year
ORDER BY MyTable.Month DESC, MyTable.Year DESC
) tb1
UNION ALL
SELECT tb2.Month
, tb2.Year
, tb2.Value
FROM
(
SELECT TOP 15 MyTable.Month
, MyTable.Year
, MyTable.Value
FROM MyTable
CROSS JOIN TableAux
WHERE MyTable.Month > TableAux.Month
AND MyTable.Year > TableAux.Year
ORDER BY MyTable.Month, MyTable.Year
) tb2
ORDER BY Year, Month

sql query to find the Items with the highest difference

I have my database table ABC as shown below :
ItemId Month Year Sales
1 1 2013 333
1 2 2013 454
2 1 2013 434
and so on .
I would like to write a query to find the top 3 items that have had the highest increase in sales from last month to this month , so that I see somethinglike this in the output.
Output :
ItemId IncreaseInSales
1 +121
9 +33
6 +16
I came up to here :
select
(select Sum(Sales) from ABC where [MONTH] = 11 )
-
(select Sum(Sales) from ABC where [MONTH] = 10)
I cannot use a group by as it is giving an error . Can anyone point me how I can
proceed further ?
Assuming that you want the increase for a given month, you can also do this with an aggregation query:
select top 3 a.ItemId,
((sum(case when year = #YEAR and month = #MONTH then 1.0*sales end) /
sum(case when year = #YEAR and month = #MONTH - 1 or
year = #YEAR - 1 and #Month = 1 and month = 12
then sales end)
) - 1
) * 100 as pct_increase
from ABC a
group by a.ItemId
order by pct_increase desc;
You would put the year/month combination you care about in the variables #YEAR and #MONTH.
EDIT:
If you just want the increase, then do a difference:
select top 3 a.ItemId,
(sum(case when year = #YEAR and month = #MONTH then 1.0*sales end) -
sum(case when year = #YEAR and month = #MONTH - 1 or
year = #YEAR - 1 and #Month = 1 and month = 12
then sales
end)
) as difference
from ABC a
group by a.ItemId
order by difference desc;
Here is the SQL Fiddle that demonstrates the below query:
SELECT TOP(3) NewMonth.ItemId,
NewMonth.Month11Sales - OldMonth.Month10Sales AS IncreaseInSales
FROM
(
SELECT s1.ItemId, Sum(s1.Sales) AS Month11Sales
FROM ABC AS s1
WHERE s1.MONTH = 11
AND s1.YEAR = 2013
GROUP BY s1.ItemId
) AS NewMonth
INNER JOIN
(
SELECT s2.ItemId, Sum(s2.Sales) AS Month10Sales
FROM ABC AS s2
WHERE s2.MONTH = 10
AND s2.YEAR = 2013
GROUP BY s2.ItemId
) AS OldMonth
ON NewMonth.ItemId = OldMonth.ItemId
ORDER BY NewMonth.Month11Sales - OldMonth.Month10Sales DESC
You never mentioned if you could have more than one record for an ItemId with the same Month, so I made the query to handle it either way. Obviously you were lacking the year = 2013 in your query. Once you get past this year you will need that.
Another option could be something on these lines:
SELECT top 3 a.itemid, asales-bsales increase FROM
(
(select itemid, month, sum(sales) over(partition by itemid) asales from ABC where month=2
and year=2013) a
INNER JOIN
(select itemid, month, sum(sales) over(partition by itemid) bsales from ABC where month=1
and year=2013) b
ON a.itemid=b.itemid
)
ORDER BY increase desc
if you need to cater for months without sales then you can do a FULL JOIN and calculate increase as isnull(asales,0) - isnull(bsales,0)
You could adapt this solution based on PIVOT operator:
SET NOCOUNT ON;
DECLARE #Sales TABLE
(
ItemID INT NOT NULL,
SalesDate DATE NOT NULL,
Amount MONEY NOT NULL
);
INSERT #Sales (ItemID, SalesDate, Amount)
VALUES
(1, '2013-01-15', 333), (1, '2013-01-14', 111), (1, '2012-12-13', 100), (1, '2012-11-12', 150),
(2, '2013-01-11', 200), (2, '2012-12-10', 150), (3, '2013-01-09', 900);
-- Parameters (current year & month)
DECLARE #pYear SMALLINT = 2013,
#pMonth TINYINT = 1;
DECLARE #FirstDayOfCurrentMonth DATE = CONVERT(DATE, CONVERT(CHAR(4), #pYear) + '-' + CONVERT(CHAR(2), #pMonth) + '-01');
DECLARE #StartDate DATE = DATEADD(MONTH, -1, #FirstDayOfCurrentMonth), -- Begining of the previous month
#EndDate DATE = DATEADD(DAY, -1, DATEADD(MONTH, 1, #FirstDayOfCurrentMonth)) -- End of the current month
SELECT TOP(3) t.ItemID,
t.[2]-t.[1] AS IncreaseAmount
FROM
(
SELECT y.ItemID, y.Amount,
DENSE_RANK() OVER(ORDER BY y.FirstDayOfSalesMonth ASC) AS MonthNum -- 1=Previous Month, 2=Current Month
FROM
(
SELECT x.ItemID, x.Amount,
DATEADD(MONTH, DATEDIFF(MONTH, 0, x.SalesDate), 0) AS FirstDayOfSalesMonth
FROM #Sales x
WHERE x.SalesDate BETWEEN #StartDate AND #EndDate
) y
) z
PIVOT( SUM(z.Amount) FOR z.MonthNum IN ([1], [2]) ) t
ORDER BY IncreaseAmount DESC;
SQLFiddle demo
Your sample data seems to be incomplete, however, here is my try. I assume that you want to know the three items with the greatest sales-difference from one month to the next:
WITH Increases AS
(
SELECT a1.itemid,
a1.sales - (SELECT a2.sales
FROM dbo.abc a2
WHERE a1.itemid = a2.itemid
AND ( ( a1.year = a2.year
AND a1.month > 1
AND a1.month = a2.month + 1 )
OR ( a1.year = a2.year + 1
AND a1.month = 1
AND a2.month = 12 ) ))AS IncreaseInSales
FROM dbo.abc a1
)
SELECT TOP 3 ItemID, MAX(IncreaseInSales) AS IncreaseInSales
FROM Increases
GROUP BY ItemID
ORDER BY MAX(IncreaseInSales) DESC
Demo
SELECT
cur.[ItemId]
MAX(nxt.[Sales] - cur.[Sales]) AS [IncreaseInSales]
FROM ABC cur
INNER JOIN ABC nxt ON (
nxt.[Year] = cur.[Year] + cur.[month]/12 AND
nxt.[Month] = cur.[Month]%12 + 1
)
GROUP BY cur.[ItemId]
I'd do this this way. It should work in all the tagged versions of SQL Server:
SELECT TOP 3 [ItemId],
MAX(CASE WHEN [Month] = 2 THEN [Sales] END) -
MAX(CASE WHEN [Month] = 1 THEN [Sales] END) [Diff]
FROM t
WHERE [Month] IN (1, 2) AND [Year] = 2013
GROUP BY [ItemId]
HAVING COUNT(*) = 2
ORDER BY [Diff] DESC
Fiddle here.
The reason why I'm adding the HAVING clause is that if any item is added in only one of the months then the numbers will be all wrong. So I'm only comparing items that are only present in both months.
The reason of the WHERE clause would be to filter in advance only the needed months and improve the efficiency of the query.
An SQL Server 2012 solution could also be:
SELECT TOP 3 [ItemId], [Diff] FROM (
SELECT [ItemId],
LEAD([Sales]) OVER (PARTITION BY [ItemId] ORDER BY [Month]) - [Sales] Diff
FROM t
WHERE [Month] IN (1, 2) AND [Year] = 2013
) s
WHERE [Diff] IS NOT NULL
ORDER BY [Diff] DESC

how to fetch record monthly total in select query in sql server 2005

I am having following output of query
Query:
SELECT DATENAME(mm, date) [Month], sum(braekTime) [TotalBreakTime],
sum(DATEPART(hh,totalTime) * 60 + DATEPART(mi,totalTime) + DATEPART(ss,totalTime) * 0.017) [Minute],firstName
FROM employeeAttendance,employee
where FK_employeeId = employee.employeeId
GROUP BY DATENAME(mm, date),firstName
ORDER BY [Month]
but I want each n every month record with null/ 0 value
like June and July record is not available then it should display like following
Month TotalBreakTime Minute firstName
----- -------------- ------ ---------
January 0 0 NULL
February 0 0 NULL
March 0 0 NULL
April 0 0 NULL
May 50 1015.000 foramaa
June 0 0 NULL
July 0 0 NULL
.... Like till Dec
You should create a virtual table or subquery for the months, and left join it to the totals query.
eg
select * from
(
select number, datename(m,DATEADD(m, number-1, 0)) as monthname
from master..spt_values
where type='p' and number between 1 and 12
) months
left join
(your totals query) totals
on months.monthname = totals.month
try this:
;with cte as(
select 1 as rn union all select 2 union all select 3),
cte1 as (select ROW_NUMBER() over(order by c1.rn) as row_num
from cte cross join cte c1 cross join cte c2)
select * from cte1
left join
(SELECT DATENAME(mm, date) [Month],
sum(braekTime) [TotalBreakTime],
sum(DATEPART(hh,totalTime) * 60 + DATEPART(mi,totalTime) + DATEPART(ss,totalTime) * 0.017) [Minute],
firstName
FROM employeeAttendance join employee
on FK_employeeId = employee.employeeId
GROUP BY DATENAME(mm, date),firstName
ORDER BY [Month])B
on B.[Month]=DateName( month , DateAdd( month ,cte1.row_num , 0 ) - 1 )
and cte1.row_num <=12

Resources