For example there is some table with dates:
2015-01-01
2015-01-02
2015-01-03
2015-01-06
2015-01-07
2015-01-11
I have to write ms sql query, which will return count of consecutive dates starting from every date in the table. So the result will be like:
2015-01-01 1
2015-01-02 2
2015-01-03 3
2015-01-06 1
2015-01-07 2
2015-01-11 1
It seems to me that I should use LAG and LEAD functions, but now I even can not imagine the way of thinking.
CREATE TABLE #T ( MyDate DATE) ;
INSERT #T VALUES ('2015-01-01'),('2015-01-02'),('2015-01-03'),('2015-01-06'),('2015-01-07'),('2015-01-11')
SELECT
RW=ROW_NUMBER() OVER( PARTITION BY GRP ORDER BY MyDate) ,MyDate
FROM
(
SELECT
MyDate, DATEDIFF(Day, '1900-01-01' , MyDate)- ROW_NUMBER() OVER( ORDER BY MyDate ) AS GRP
FROM #T
) A
DROP TABLE #T;
You can use this CTE:
;WITH CTE AS (
SELECT [Date],
ROW_NUMBER() OVER(ORDER BY [Date]) AS rn,
CASE WHEN DATEDIFF(Day, PrevDate, [Date]) IS NULL THEN 0
WHEN DATEDIFF(Day, PrevDate, [Date]) > 1 THEN 0
ELSE 1
END AS flag
FROM (
SELECT [Date], LAG([Date]) OVER (ORDER BY [Date]) AS PrevDate
FROM #Dates ) d
)
to produce the following result:
Date rn flag
===================
2015-01-01 1 0
2015-01-02 2 1
2015-01-03 3 1
2015-01-06 4 0
2015-01-07 5 1
2015-01-11 6 0
All you have to do now is to calculate a running total of flag up to the first occurrence of a preceding zero value:
;WITH CTE AS (
... cte statements here ...
)
SELECT [Date], b.cnt + 1
FROM CTE AS c
OUTER APPLY (
SELECT TOP 1 COALESCE(rn, 1) AS rn
FROM CTE
WHERE flag = 0 AND rn < c.rn
ORDER BY rn DESC
) a
CROSS APPLY (
SELECT COUNT(*) AS cnt
FROM CTE
WHERE c.flag <> 0 AND rn < c.rn AND rn >= a.rn
) b
OUTER APPLY calculates the rn value of the first zero-valued flag that comes before the current row. CROSS APPLY calculates the number of records preceding the current record up to the first occurrence of a preceding zero valued flag.
I'm assuming this table:
SELECT *
INTO #Dates
FROM (VALUES
(CAST('2015-01-01' AS DATE)),
(CAST('2015-01-02' AS DATE)),
(CAST('2015-01-03' AS DATE)),
(CAST('2015-01-06' AS DATE)),
(CAST('2015-01-07' AS DATE)),
(CAST('2015-01-11' AS DATE))) dates(d);
Here's a recursive solution with explanations:
WITH
dates AS (
SELECT
d,
-- This checks if the current row is the start of a new group by using LAG()
-- to see if the previous date is adjacent
CASE datediff(day, d, LAG(d, 1) OVER(ORDER BY d))
WHEN -1 THEN 0
ELSE 1 END new_group,
-- This will be used for recursion
row_number() OVER(ORDER BY d) rn
FROM #Dates
),
-- Here, the recursion happens
groups AS (
-- We initiate recursion with rows that start new groups, and calculate "GRP"
-- numbers
SELECT d, new_group, rn, row_number() OVER(ORDER BY d) grp
FROM dates
WHERE new_group = 1
UNION ALL
-- We then recurse by the previously calculated "RN" until we hit the next group
SELECT dates.d, dates.new_group, dates.rn, groups.grp
FROM dates JOIN groups ON dates.rn = groups.rn + 1
WHERE dates.new_group != 1
)
-- Finally, we enumerate rows within each group
SELECT d, row_number() OVER (PARTITION BY grp ORDER BY d)
FROM groups
ORDER BY d
SQLFiddle
Related
SQL-SERVER 2017
SQL-FIDDLE
DB-CODE:
CREATE TABLE [TABLE_1] (
PLAN_NR decimal(28,6) NULL,
START_DATE datetime NULL);
INSERT INTO TABLE_1
(PLAN_NR,START_DATE)
VALUES
(1,'2020-05-01'),
(2,'2020-08-01');
My question is about the Syntax of the following Select:
WITH Dates AS(
SELECT T1.PLAN_NR,
V.I+1 AS PERIOD_NR,
DATEADD(DAY, 7*V.I, T1.START_DATE) AS START_DATE,
LEAD(DATEADD(DAY, 7*V.I, T1.START_DATE)) OVER (PARTITION BY PLAN_NR ORDER BY V.I) AS END_DATE
FROM dbo.TABLE_1 T1
------------------------------------------------
--> JOIN (VALUES(0),(1),(2),(3),(4),(5),(6),(7),(8),(9),(10)) V(I) ON 1000 >= V.I) <-- THIS LINE
------------------------------------------------
SELECT D.PLAN_NR,
D.PERIOD_NR,
V.START_DATE
FROM Dates D
CROSS APPLY (VALUES(START_DATE),(CASE WHEN MONTH(START_DATE) != MONTH(END_DATE) THEN
DATEADD(MONTH,DATEDIFF(MONTH,0,END_DATE),0) END)) V(START_DATE)
WHERE V.START_DATE IS NOT NULL
What is the logic to extend the values here to e.g. 1000?
Do I have to write out VALUES(0),(1),(2),(3),(4),(5),(6),(7),(8),(9),(10)......(1000)?
Edit:
I got the code mentioned here from Larnu answer to another question:
here.
I would create an extended tally:
WITH N AS(
SELECT N
FROM (VALUES(NULL),(NULL),(NULL),(NULL),(NULL),(NULL),(NULL),(NULL),(NULL),(NULL))N(N)),
Tally AS
(SELECT 0 AS I
UNION ALL
SELECT ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) AS I
FROM N N1,
N N2,
N N3),
Dates AS
(SELECT T1.PLAN_NR,
T.I + 1 AS PERIOD_NR,
DATEADD(DAY, 7 * T.I, T1.START_DATE) AS START_DATE,
LEAD(DATEADD(DAY, 7 * T.I, T1.START_DATE)) OVER (PARTITION BY PLAN_NR ORDER BY T.I) AS END_DATE
FROM dbo.TABLE_1 T1
CROSS JOIN Tally T)
SELECT D.PLAN_NR,
D.PERIOD_NR,
V.START_DATE
FROM Dates D
CROSS APPLY (VALUES (START_DATE),
(CASE
WHEN MONTH(START_DATE) != MONTH(END_DATE) THEN DATEADD(MONTH, DATEDIFF(MONTH, 0, END_DATE), 0)
END)) V (START_DATE)
WHERE V.START_DATE IS NOT NULL;
You don't need, you can have a CTE to generate the number and join in like following.
WITH cteNum
AS (
SELECT 1 AS I
UNION ALL
SELECT I + 1
FROM cteNum
WHERE I + 1 <= 1000
)
Your final query will look like
with cteNum as
(
select 1 as I
union all
select I +1 from cteNum
where I + 1<=1000
), Dates AS(
SELECT T1.PLAN_NR,
V.I+1 AS PERIOD_NR,
DATEADD(DAY, 7*V.I, T1.START_DATE) AS START_DATE,
LEAD(DATEADD(DAY, 7*V.I, T1.START_DATE)) OVER (PARTITION BY PLAN_NR ORDER BY V.I) AS END_DATE
FROM dbo.TABLE_1 T1
JOIN cteNum V ON 1000 >= V.I)
SELECT D.PLAN_NR,
D.PERIOD_NR,
V.START_DATE
FROM Dates D
CROSS APPLY (VALUES(START_DATE),(CASE WHEN MONTH(START_DATE) != MONTH(END_DATE) THEN DATEADD(MONTH,DATEDIFF(MONTH,0,END_DATE),0) END)) V(START_DATE)
WHERE V.START_DATE IS NOT NULL
option (maxrecursion 0)
SQL-FIDDLE
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
A table 'readings' has a list of dates
[Date] [Value]
2015-03-19 00:30:00 1.2
2015-03-19 00:40:00 1.2
2015-03-19 00:50:00 0.1
2015-03-19 01:00:00 0.1
2015-03-19 01:10:00 2
2015-03-19 01:20:00 0.5
2015-03-19 01:30:00 0.5
I need to get the most recent instance where the value is below a set point (in this case the value 1.0), but I only want the start (earliest datetime) where the value was below 1 for consecutive times.
So with the above data I want to return 2015-03-19 01:20:00, as the most recent block of times where value < 1, but I want the start of that block.
This SQL just returns the most recent date, rather than the first date whilst the value has been low (so returns 2015-03-19 01:30:00 )
select top 1 *
from readings where value <=1
order by [date] desc
I can't work out how to group the consecutive dates, to therefore only get the first ones
It is SQL Server, the real data isn't at exactly ten min intervals, and the readings table is about 70,000 rows- so fairly large!
Thanks, Charli
Demo
SELECT * FROM (
SELECT [Date]
,Value
,ROW_NUMBER() OVER (PARTITION BY cast([Date] AS DATE) ORDER BY [Date] ASC) AS RN FROM #table WHERE value <= 1
) t WHERE t.RN = 1
Select Max( [date] )
From [dbo].[readings]
Where ( [value] <= 1 )
You seem to want the minimum date for each set of consecutive records having a value that is less than 1. The query below returns exactly these dates:
SELECT MIN([Date])
FROM (
SELECT [Date], [Value],
ROW_NUMBER() OVER (ORDER BY [Date]) -
COUNT(CASE WHEN [Value] < 1 THEN 1 END) OVER (ORDER BY [Date]) AS grp
FROM mytable) AS t
WHERE Value < 1
GROUP BY grp
grp calculated field identifies consecutive records having Value<1.
Note: The above query will work for SQL Server 2012+.
Demo here
Edit:
To get the date value of the last group you can modify the above query to:
SELECT TOP 1 MIN([Date])
FROM (
SELECT [Date], [Value],
ROW_NUMBER() OVER (ORDER BY [Date]) -
COUNT(CASE WHEN [Value] < 1 THEN 1 END) OVER (ORDER BY [Date]) AS grp
FROM mytable) AS t
WHERE Value < 1
GROUP BY grp
ORDER BY grp DESC
Demo here
*Edit (Hopefully to be more clear)
Table below, I would like to count ids and count duplicate ids where the createddate has a gap of 3 months or more for that ID.
Query I have so far...
if object_id('tempdb..#temp') is not null
begin drop table #temp end
select
top 100
a.id, a.CreatedDate
into #temp
from tbl a
where 1=1
--and year(CreatedDate) = '2015'
if object_id('tempdb..#temp2') is not null
begin drop table #temp2 end
select t.id, count(t.id) as Total_Cnt
into #temp2
from #temp t
group by id
select distinct #temp2.Total_Cnt, #temp2.id, #temp.CreatedDate, DENSE_RANK() over (partition by #temp.id order by createddate) RK
from #temp2
inner join #temp on #temp2.id = #temp.id
where 1=1
order by Total_Cnt desc
Results:
Total_cnt id createddate rk
3 1 01-01-2015 1
3 1 03-02-2015 2
3 1 01-02-2015 3
2 2 05-01-2015 1
2 2 05-02-2015 2
1 3 06-01-2015 1
1 4 07-01-2015 1
Count ids and only count duplicate ids when the createddate from the id is greater than 3 months.
Something like this...
Total_cnt id Countwith3monthgap
3 1 2
2 2 1
1 3 1
1 4 1
You can use a cte and ROW_NUMBER to get your order and self join the cte based on the order..
WITH cte AS
( SELECT
*,
ROW_NUMBER() OVER (PARTITION BY ID ORDER BY CreatedDate) Rn
FROM
Test
)
SELECT
c1.ID,
COUNT(CASE WHEN c2.CreatedDate IS NULL THEN 1
WHEN c1.CreatedDate >= DATEADD(month,3,c2.CreatedDate) THEN 1
END)
FROM
cte c1
LEFT JOIN cte c2 ON c1.ID = c2.ID
AND c1.RN = c2.RN + 1
GROUP BY
c1.ID
You also need to use a conditional count where the Previous CreatedDate is null or if the Current CreatedDate is >= the Previous CreatedDate + 3 months
If you happen to be using SQL 2012+ you can also use LAG here to get the same result
SELECT
ID,
COUNT(*)
FROM
(SELECT
ID,
CreatedDate CurrentDate,
LAG(CreatedDate) OVER (PARTITION BY ID ORDER BY CreatedDate) PreviousDate
FROM
Test
) T
WHERE
PreviousDate IS NULL
OR CurrentDate >= DATEADD(month, 3, PreviousDate)
GROUP BY
ID
You can use a lag to get the previous date, Null for the first in the list
SELECT
id,
lag(CreatedDate,1) OVER (PARTITION BY Id ORDER BY CreatedDate) AS PreviousCreateDate,
CreatedDate
FROM #t
You can use that as a subquery and get the difference in months using DATEDIFF
SELECT sub.id,DATEDiff(month, sub.PreviousCreateDate ,sub.CreatedDate)
FROM (SELECT
id,
lag(CreatedDate,1) OVER (PARTITION BY Id ORDER BY CreatedDate) AS PreviousCreateDate,
CreatedDate
FROM #t) sub
WHERE DATEDiff(month, sub.PreviousCreateDate ,sub.CreatedDate) >=3
OR sub.PreviousCreateDate IS NULL
You can then take your totals
SELECT sub.id,COUNT(sub.id) as cnt
FROM (SELECT
id,
lag(CreatedDate,1) OVER (PARTITION BY Id ORDER BY CreatedDate) AS PreviousCreateDate,
CreatedDate
FROM #t) sub
WHERE DATEDIFF(month, sub.PreviousCreateDate ,sub.CreatedDate) >=3
OR sub.PreviousCreateDate IS NULL
GROUP BY sub.id
Note that using datediff the last day of january is three months before the first day of march. That appears to be the logic you were after.
You might want to define your three month gap criteria as
WHERE sub.PreviousCreateDate <= DATEADD(month, -3, sub.CreatedDate)
OR sub.PreviousCreateDate IS NULL
or
WHERE sub.CreatedDate >= DATEADD(month, +3, sub.PreviousCreateDate )
OR sub.PreviousCreateDate IS NULL
I'm guessing that your desired definition of three-month gap doesn't coincide with datediff()'s. Most of the logic here is to look back at the previous date and decide if the gap is big enough to qualify.
When datediff() counts three months difference we still need to make sure the day of month is later than the first one (per example and ID 5). If difference is more than three months then we're good automatically.
But I'm also assuming that you would want to treat the distance from November 30th to February 28th (or 29th in a leap year) as a full three months because the end date falls on the final day of the month. By adjusting the end date by an extra day this is an easy scenario to snag as it will bump the date into the following month and increase the month difference by one as well. If that's not what you want then just remove the dateadd(day, 1, ...) portion and use only the raw CreatedDate value.
You sample data is limited so I'm also making the assumption that the gaps are measure between consecutive dates. If you're wanting to find blocks of runs that don't span more than three months across the set, then that's a different problem and you should clarify with more information.
Since you've indicated that you're probably on SQL Server 2008 you'll have to do without the lag() function. Although the first query could be adjusted for that it's likely easier to go with the second approach at the end.
with diffs as (
select
ID,
row_number() over (partition by ID order by CreatedDate) as RN,
case when
datediff(
month,
lag(CreatedDate, 1) over (partition by ID order by CreatedDate),
CreatedDate
) = 3
and
datepart(
day,
lag(CreatedDate, 1) over (partition by ID order by CreatedDate)
) <= datepart(day, CreatedDate)
or
datediff(
month,
lag(CreatedDate, 1) over (partition by ID order by CreatedDate),
/* adding one day to handle gaps like Nov30 - Feb28/29 and Jan31 - Apr30 */
dateadd(day, 1, CreatedDate)
) >= 4
then 1
else 0
end as GapFlag
from <T> /* <--- your table name here */
), gaps as (
select
ID, RN,
sum(1 + GapFlag) over (partition by ID order by RN) as Counter
from diffs
)
select ID, count(distinct Counter - RN) as "Count"
from gaps
group by ID
The rest of the logic is a typical gaps and islands scenario looking for holes in the sum(1 + GapCount) sequence with the offset of 1 acting pretty much like row_number().
http://sqlfiddle.com/#!6/61b12/3
JamieD77's approach is also valid. I was originally thinking your problem involved more than looking at the rows in sequence. Here's how I would tweak it for the gap definition I've been running with:
with data as (
select ID, CreatedDate, row_number() over (partition by ID order by CreatedDate) as RN
from T
)
select ID, count(*) as "Count"
from data d1 left outer join data d0
on d0.ID = d1.ID and d0.RN = d1.RN - 1 /* connect to the one before */
where
datediff(month, d0.CreatedDate, d1.CreatedDate) = 3
and datepart(day, d0.CreatedDate) <= datepart(day, d0.CreatedDate)
or datediff(month, d0.CreatedDate, dateadd(day, 1, d0.CreatedDate)) >= 4
or d0.ID is null
group by ID
Edit: You have changed the question since yesterday.
Change this line in the first query to include the total count:
...
select count(*) as TotalCnt, ID, count(distinct Counter - RN) as GapCount
...
Second would look like:
with data as (
select ID, CreatedDate, row_number() over (partition by ID order by CreatedDate) as RN
from T
)
select
count(*) as TotalCnt, ID,
count(case when
datediff(month, d0.CreatedDate, d1.CreatedDate) = 3
and datepart(day, d0.CreatedDate) <= datepart(day, d0.CreatedDate)
or datediff(month, d0.CreatedDate, dateadd(day, 1, d0.CreatedDate)) >= 4
or d0.ID is null then 1 end
) as GapCount
from data d1 left outer join data d0
on d0.ID = d1.ID and d0.RN = d1.RN - 1 /* connect to the one before */
where
group by ID
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