I'm using the below query to calculate a budget value dynamically means iterating upto selected date value.
SUM(case when Name = 'Budget' then Value + ((Value/#TotaldaysinMonth) *
#DaysPastinMonth) end) as [Budget]
Here variable #DaysPastinMonth should be dynamic. Means if I select a date as 03/31/2017. Then the query should run upto the previous month value. Another example is if I select August, then I need to run query from Jan-Aug.
For Jan
SUM(case when Name = 'Budget' then Value + ((Value/#TotaldaysinMonth) *
#DaysPastinJanMonth) end) as [Budget]
For Feb
SUM(case when Name = 'Budget' then Value + ((Value/#TotaldaysinMonth) *
#DaysPastinFebMonth) end) as [Budget]
For Mar
SUM(case when Name = 'Budget' then Value + ((Value/#TotaldaysinMonth) *
#DaysPastinMarMonth) end) as [Budget]
Also I have created variables for all the 12 months which holds DaysPastinMonth.
Can anyone suggest how this can be achieved using case statement.
You are thinking about this in loop when you could do it with set based operations.
----------------------------------------------------------
--Create a table of dates for testing
----------------------------------------------------------
if object_id('tempdb..#dates') is not null
drop table #dates
create table #dates(d date
,RN bigint)
declare #sdate datetime='2017-01-01 00:00'
declare #edate datetime='2017-7-31 00:00'
insert into #dates
select
DATEADD(d,number,#sdate)
,row_number() over (order by (select null)) as RN
from
master..spt_values
where
type='P'
and number<=datediff(d,#sdate,#edate)
declare #numOfDays int = (select count(*) from #dates)
----------------------------------------------------------
--Populate Test Data
----------------------------------------------------------
if object_id('tempdb..#testTable') is not null
drop table #testTable
create table #testTable([Name] varchar(64),
[Value] decimal (16,4),
DT datetime)
insert into #testTable ([Name],[Value],DT)
select
'Budget'
,r.randomNumber
,d.d
from
#dates d
inner join
(SELECT TOP (select #numOfDays)
randomNumber,
row_number() over (order by (select null)) as RN
FROM (
SELECT CAST(ABS(CAST(NEWID() AS binary(6)) %100000) + RAND() AS DECIMAL (16,4)) + 1 randomNumber
FROM sysobjects) sample
GROUP BY randomNumber
ORDER BY randomNumber DESC) r on r.RN = d.RN
union all
select
'Not The Budget'
,r.randomNumber
,d.d
from
#dates d
inner join
(SELECT TOP (select #numOfDays)
randomNumber,
row_number() over (order by (select null)) as RN
FROM (
SELECT CAST(ABS(CAST(NEWID() AS binary(6)) %100000) + RAND() AS DECIMAL (16,4)) + 1 randomNumber
FROM sysobjects) sample
GROUP BY randomNumber
ORDER BY randomNumber DESC) r on r.RN = d.RN
----------------------------------------------------------
--Instead of making your variables "dynamic" which
--would likely consist of some loop, just pass in the
--month you care about and let SQL do the work
----------------------------------------------------------
declare #month datetime = '2016-03-31'
select
DT
,[Value]
,[Name]
,sum(case when [Name] = 'Budget'
then [Value] +
(([Value] / (DATEDIFF(day,DATEADD(month, DATEDIFF(month, 0, #month), 0),#month)))
*
(DATEDIFF(DAY,DATEADD(MONTH, DATEDIFF(MONTH, 0, #month)-1, 0),DATEADD(MONTH, DATEDIFF(MONTH, -1, #month)-1, -1)))) end) as Budget
from
#testTable
where
DT >= DATEADD(yy, DATEDIFF(yy, 0, #month), 0) --this is Jan 1 of the year associated with your vairable
group by
DT
,[Name]
,[Value]
Related
I'm trying to determine the number of records with consecutive dates (previous record ends on the same date as the start date of the next record) before and after a specified date, and ignore any consecutive records as soon as there is a break in the chain.
If I have the following data:
-- declare vars
DECLARE #dateToCheck date = '2020-09-20'
DECLARE #numRecsBefore int = 0
DECLARE #numRecsAfter int = 0
DECLARE #tempID int
-- temp table
CREATE TABLE #dates
(
[idx] INT IDENTITY(1,1),
[startDate] DATETIME ,
[endDate] DATETIME,
[prevEndDate] DATETIME
)
-- insert temp table
INSERT INTO #dates
( [startDate], [endDate] )
VALUES ( '2020-09-01', '2020-09-04' ),
( '2020-09-04', '2020-09-10' ),
( '2020-09-10', '2020-09-16' ),
( '2020-09-17', '2020-09-19' ),
( '2020-09-19', '2020-09-20' ),
--
( '2020-09-20', '2020-09-23' ),
( '2020-09-25', '2020-09-26' ),
( '2020-09-27', '2020-09-28' ),
( '2020-09-28', '2020-09-30' ),
( '2020-10-01', '2020-09-05' )
-- update with previous records endDate
DECLARE #maxRows int = (SELECT MAX(idx) FROM #dates)
DECLARE #intCount int = 0
WHILE #intCount <= #maxRows
BEGIN
UPDATE #dates SET prevEndDate = (SELECT endDate FROM #dates WHERE idx = (#intCount - 1) ) WHERE idx=#intCount
SET #intCount = #intCount + 1
END
-- clear any breaks in the chain?
-- number of consecutive records before this date
SET #numRecsBefore = (SELECT COUNT(idx) FROM #dates WHERE startDate = prevEndDate AND endDate <= #dateToCheck)
-- number of consecutive records after this date
SET #numRecsAfter = (SELECT COUNT(idx) FROM #dates WHERE startDate = prevEndDate AND endDate >= #dateToCheck)
-- return & clean up
SELECT * FROM #dates
SELECT #numRecsBefore AS numBefore, #numRecsAfter AS numAfter
DROP TABLE #dates
With the specified date being '2020-09-20, I would expect #numRecsBefore = 2 and #numRecsAfter = 1. That is not what I am getting, as its counting all the consecutive records.
There has to be a better way to do this. I know the loop isn't optimal, but I couldn't get LAG() or LEAD() to work. I've spend all morning trying different methods and searching, but everything I find doesn't deal with two dates, or breaks in the chain.
This reads like a gaps-and-island problem. Islands represents rows whose date ranges are adjacent, and you want to count how many records preceed of follow a current date in the same island.
You could do:
select
max(case when #dateToCheck > startdate and #dateToCheck <= enddate then numRecsBefore end) as numRecsBefore,
max(case when #dateToCheck >= startdate and #dateToCheck < enddate then numRecsAfter end) as numRecsAfter
from (
select d.*,
count(*) over(partition by grp order by startdate) as numRecsBefore,
count(*) over(partition by grp order by startdate desc) as numRecsAfter
from (
select d.*,
sum(case when startdate = lag_enddate then 0 else 1 end) over(order by startdate) as grp
from (
select d.*,
lag(enddate) over(order by startdate) as lag_enddate
from #dates d
) d
) d
) d
This uses lag() and a cumulative sum() to define the islands. The a window count gives the number and preceding and following records on the same island. The final step is conditional aggrgation; extra care needs to be taken on the inequalities to take in account various possibilites (typically, the date you search for might not always match a range bound).
Demo on DB Fiddle
I think this is what you are after, however, this does not give the results in your query; I suspect that is because they aren't the expected results? One of the conditional aggregated may also want to be a >= or <=, but I don't know which:
WITH CTE AS(
SELECT startDate,
endDate,
CASE startDate WHEN LAG(endDate) OVER (ORDER BY startDate ASC) THEN 1 END AS IsSame
FROM #dates d)
SELECT COUNT(CASE WHEN startDate < #dateToCheck THEN IsSame END) AS numBefore,
COUNT(CASE WHEN startDate > #dateToCheck THEN IsSame END) AS numAfter
FROM CTE;
I need to modify the following T-SQL statement to include a rolling 7 day average of the revenue.
What do I need to include in the following code to achieve that?
SELECT
CAST(create_dtg AS DATE) DATE,
SUM([agent_rev] + [anchor_rev] + [corp_rev] + [offsite_rev]) AS RevenueTotals,
SUM([media_est_cost] + [other_cost]) AS COSTTOTALS
FROM
[dbo].[dw_rpt_traffic]
WHERE
[create_dtg] >= ( Getdate() - 90 )
--GROUP BY CREATE_DTG
--ORDER BY CREATE_DTG ASC
I also tried using Parttion by, however, this returns the same value as the Revenuetotals.
Select a.dte, a.revenuetotals, a.COSTTOTALS, AVG(A.RevenueTotals) OVER (PARTITION BY a.dte ORDER BY a.dte ROWS 7 PRECEDING) as Day7Avg
from
(
select CAST(CREATE_DTG AS DATE) as dte,
SUM([AGENT_REV]+[ANCHOR_REV]+[CORP_REV]+[OFFSITE_REV]) as RevenueTotals,
SUM([MEDIA_EST_COST]+[OTHER_COST]) as COSTTOTALS
FROM [dbo].[dw_rpt_traffic]
where [CREATE_DTG] >= (GetDate() - 90)
GROUP BY CREATE_DTG
) as A
Group by a.dte, a.revenuetotals, a.COSTTOTALS
order by a.dte
Thanks, Karen
For rolling aggregates I typically use an OVER clause with ROWS [...] PRECEDING [...].
WITH cte
AS ( SELECT x.Date
,x.Revenue
,AVG(x.Revenue) OVER ( ORDER BY x.Date
ROWS BETWEEN 6 PRECEDING AND CURRENT ROW
) AS [MA7]
FROM ( SELECT CAST(t.Date AS DATE) AS [Date]
,SUM(t.Revenue) AS [Revenue]
FROM #tmp t
WHERE CAST(t.Date AS DATE) > CAST(GETDATE() - 96 AS DATE)
GROUP BY CAST(t.Date AS DATE)
) x
)
SELECT c.Date
,c.Revenue
,c.MA7
FROM cte c
WHERE c.Date > CAST(GETDATE() - 90 AS DATE)
ORDER BY c.Date;
The table above was generated with the following:
IF ( OBJECT_ID('tempdb..#tmp') IS NOT NULL )
DROP TABLE #tmp;
CREATE TABLE #tmp
(
[Date] DATETIME
,[Revenue] DECIMAL(18, 2)
);
--
DECLARE #first INT = 0
,#last INT = 200;
WHILE #first < #last
BEGIN
INSERT INTO #tmp
( Date, Revenue )
VALUES ( GETDATE() - #first * 0.5, RAND() * 100000 );
SET #first = #first + 1;
END;
Probably the easiest way uses outer apply:
with rt as (
select CAST(CREATE_DTG AS DATE) as dte,
SUM([AGENT_REV]+[ANCHOR_REV]+[CORP_REV]+[OFFSITE_REV]) as RevenueTotals,
SUM([MEDIA_EST_COST]+[OTHER_COST]) as COSTTOTALS
from [dbo].[dw_rpt_traffic]
where [CREATE_DTG] >= (GetDate() - 90)
)
select rt.*, rolling.avgrt
from rt outer apply
(select avg(rt2.RevenueTotals) as avgrt
from rt rt2
where rt2.dte >= dateadd(day, -6, rt.dte) and
rt2.dte <= rt.dte
) rolling
order by dte;
We are using procedural approach (while loop) for inserting records into a particular table. the insert syntax is like below,
DECLARE #CNT INT = 0,
#WEEK DATE = '2015-11-01',
#FLAG INT
CREATE TABLE #Tmpdata (officeId int,id smallint, weekDate date,startsOn varchar(10),endsOn varchar(10),flag bit);
WHILE (#CNT <7)
BEGIN
SET #WEEK = DATEADD(D,#CNT,#WEEK )
IF EXISTS
(SELECT 1
FROM YEARRANGE
WHERE #WEEK BETWEEN CONVERT(DATE,taxseasonbegin)
AND CONVERT (DATE,taxSeasonEnd)
)
BEGIN
SET #FLAG =1
END
ELSE
BEGIN
SET #FLAG = 0
END
INSERT INTO #Tmpdata
(
officeId,id,weekDate,startsOn,endsOn,flag
)
VALUES
(
5134,#lvCounter,#week,'09:00 AM','05:00 PM',#flag
);
SET #cnt=#cnt+1;
end
(NOTE : TaxSeason is from january to august).
Is it possible to re-write the above logic in set based approach?
This is making a number of assumption because you didn't post ddl or any consumable sample data. Also, there is a variable #lvCounter not defined in your code. This is perfect opportunity to use a tally or numbers table instead of a loop.
declare #lvCounter int = 42;
DECLARE #CNT INT = 0,
#WEEK DATE = '2015-11-01',
#FLAG INT;
WITH
E1(N) AS (select 1 from (values (1),(1),(1),(1),(1),(1),(1),(1),(1),(1))dt(n))
, cteTally(N) AS
(
SELECT ROW_NUMBER() OVER (ORDER BY (SELECT NULL)) FROM E1
)
select 5134 as officeId
, #lvCounter as Id
, DATEADD(DAY, N - 1, #WEEK) as weekDate
, '09:00 AM' as startsOn
, '05:00 PM' as EndOn
, Flag
from cteTally t
cross apply
(
select CAST(count(*) as bit) as Flag
from YearRange
where DATEADD(Day, t.N, #WEEK) > CONVERT(DATE,taxseasonbegin)
AND DATEADD(Day, t.N, #WEEK) <= CONVERT (DATE,taxSeasonEnd)
) y
where t.N <= 7;
Please can you provide sample data?
You can do something like:
SELECT DateIncrement = SUM(DATEADD(D,#CNT,#WEEK)) OVER (ORDER BY officeID)
FROM...
This gets an incremented date value for each record which you can then check against your start and end dates.
You could try some Kind of this one. This gives you the data I think you Need for your insert. I do not have a table named YEARRANGE so I couldn't test it completely
DECLARE #CNT INT = 0, #WEEK DATE = '2015-11-01', #FLAG INT;
CREATE TABLE #Tmpdata (officeId int,id smallint, weekDate date,startsOn varchar(10),endsOn varchar(10),flag bit);
WITH CTE AS
(
SELECT num AS cnt,
DATEADD(D, SUM(num) OVER(ORDER BY num ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW)
, #WEEK) AS [week]
FROM
(
SELECT ROW_NUMBER() OVER (ORDER BY nl) -1 AS num
FROM
(SELECT NULL AS nl UNION ALL SELECT NULL AS nl UNION ALL SELECT NULL AS nl UNION ALL SELECT NULL AS nl
UNION ALL SELECT NULL AS nl UNION ALL SELECT NULL AS nl UNION ALL SELECT NULL AS nl
) AS ni
) AS no
)
INSERT INTO #Tmpdata (officeId,id,weekDate,startsOn,endsOn,flag)
SELECT 5134 AS officeID, cnt AS id, [week],'09:00 AM' AS startsOn,'05:00 PM' AS endsOn, COALESCE(A1.flag,0) AS flag
FROM CTE
OUTER APPLY (SELECT 1
FROM YEARRANGE
WHERE [week] BETWEEN CONVERT(DATE,taxseasonbegin)
AND CONVERT (DATE,taxSeasonEnd)
) AS A1(flag);
I have a table with the following structure
Item Id, Start Date, End Date
1 , 2015-01-01, 2015-06-01
2 , 2015-01-01, 2015-02-01
3 , 2015-03-01, 2015-08-01
4 , 2015-06-01, 2015-10-01
I would like to view results so i will have each month in the column.
Each row will contain the id of the item that is within this month.
Example:
I am asking for all items that are within 2015-01-01 to 2015-03-01.
The results should display, in columns, all the months within that range. So in this case it's 3 columns, Jan Feb and March.
The number of rows will be the total number of items that are within that range BUT each cell should show value of item id only if that item is within range:
example:
2015-01-01, 2015-02-01, 2015-03-01
1 1 1
2 2 NULL
NULL NULL 3
In order to use pivot, you can create a recursive cte get each item id and the list of months it covers, then pivot the cte.
;WITH cte AS
(
SELECT [Item Id], [Start Date], [End Date]
FROM Table1
WHERE [Start Date] BETWEEN '2015-01-01' AND '2015-03-01' --Date Range you want
OR [End Date] BETWEEN '2015-01-01' AND '2015-03-01' --Date Range you want
UNION ALL
SELECT [Item Id], DATEADD(MONTH, 1, [Start Date]), [End Date]
FROM cte
WHERE DATEADD(MONTH, 1, [Start Date]) <= [End Date]
)
SELECT [2015-01-01],[2015-02-01],[2015-03-01] --List of Dates you want
FROM (
SELECT [Item Id] rn, -- need a unique id here to give one row per record
[Item Id],
CONVERT(VARCHAR(10), [Start Date], 120) [Start Date] -- Format date to yyyy-mm-dd
FROM cte
) t
PIVOT
( MAX([Item Id])
FOR [Start Date] IN ([2015-01-01],[2015-02-01],[2015-03-01])
) p
You most likely need to use dynamic SQL.
This is your data:
declare #first date = '20150101';
declare #last date = '20150301';
Create Table #items(ItemId int, StartDate date, EndDate date);
Insert into #items(ItemId, StartDate, EndDate) values
(1, '2015-01-01', '2015-06-01')
, (2, '2015-01-01', '2015-02-01')
, (3, '2015-03-01', '2015-08-01')
, (4, '2015-06-01', '2015-10-01');
You first need to get the range of values and columns:
declare #values varchar(max);
declare #cols varchar(max);
with range(d) as (
Select top(DATEDIFF(month, #first, #last)+1) cast(DATEADD(month, ROW_NUMBER() over(order by (select 0))-1, #first) as varchar(20))
From (
Select 1 From (values(1), (1), (1), (1), (1), (1), (1), (1), (1), (1)) as x1(n)
Cross Join (values(1), (1), (1), (1), (1), (1), (1), (1), (1), (1)) as x2(n)
) as x(n)
)
Select #values = coalesce(''+#values+ ', ', ' ') + '('''+d+''')'
, #cols = coalesce(''+#cols+ ', ', ' ') + '['+left(DATENAME(month, d), 3)+CAST(year(d) as char(4))+']'
From range
;
This basically create a row for each date between #first and #last and concatenate them with parenthesis and commas (#values) or brackets (#cols).
Content in #values and #cols look like this:
#values = ('2015-01-01'), ('2015-02-01'), ('2015-03-01')
#cols = [Jan2015], [Feb2015], [Mar2015]
You then create a SQL script using theses 2 variables:
declare #sql nvarchar(max);
Set #sql = '
Select *
From (
Select i.ItemId, d = left(DATENAME(month, r.d), 3)+CAST(year(r.d) as char(4))
, id = case when r.d >= i.StartDate and r.d <= i.EndDate then i.ItemId end
From (values'+#values+') as r(d)
Cross Join (Select ItemId, StartDate, EndDate From #items
Where (#first >= StartDate and #first <= EndDate) or (#last >= StartDate and #last <= EndDate)
) i
) as dates
Pivot (
min(id)
For d in('+#cols+')
) as piv
';
This is the pivot query.
Created SQL will look like this in this example:
Select *
From (
Select i.ItemId, d = left(DATENAME(month, r.d), 3)+CAST(year(r.d) as char(4))
, id = case when r.d >= i.StartDate and r.d <= i.EndDate then i.ItemId end
From (values ('2015-01-01'), ('2015-02-01'), ('2015-03-01')) as r(d)
Cross Join (Select ItemId, StartDate, EndDate From #items
Where (#first >= StartDate and #first <= EndDate) or (#last >= StartDate and #last <= EndDate)
) i
) as dates
Pivot (
min(id)
For d in( [Jan2015], [Feb2015], [Mar2015])
) as piv
You can finally execute the script:
exec sp_executesql #sql, N'#first date, #last date', #first, #last;
Ouput:
ItemId Jan2015 Feb2015 Mar2015
1 1 1 1
2 2 2 NULL
3 NULL NULL 3
Probably something like....
Select
CASE WHEN EXISTS (SELECT 1 FROM TableName where Month(Start) = 1 AND ItemId = t.ItemId) THEN t.ItemId END AS [2015-01-01]
,CASE WHEN EXISTS (SELECT 1 FROM TableName where Month(Start) = 2 AND ItemId = t.ItemId) THEN t.ItemId END AS [2015-02-01]
,CASE WHEN EXISTS (SELECT 1 FROM TableName where Month(Start) = 3 AND ItemId = t.ItemId) THEN t.ItemId END AS [2015-03-01]
,CASE WHEN EXISTS (SELECT 1 FROM TableName where Month(Start) = 4 AND ItemId = t.ItemId) THEN t.ItemId END AS [2015-04-01]
,CASE WHEN EXISTS (SELECT 1 FROM TableName where Month(Start) = 5 AND ItemId = t.ItemId) THEN t.ItemId END AS [2015-05-01]
,CASE WHEN EXISTS (SELECT 1 FROM TableName where Month(Start) = 6 AND ItemId = t.ItemId) THEN t.ItemId END AS [2015-06-01]
,CASE WHEN EXISTS (SELECT 1 FROM TableName where Month(Start) = 7 AND ItemId = t.ItemId) THEN t.ItemId END AS [2015-07-01]
,CASE WHEN EXISTS (SELECT 1 FROM TableName where Month(Start) = 8 AND ItemId = t.ItemId) THEN t.ItemId END AS [2015-08-01]
,..... and so on..... for all the other months...
from TableName t
I need a bit of help with a SQL Server issue.
I have 2 tables:
complete_sales_raw
(
Id int Identity(1,1) PK,
RepId int FK in sale_reps,
Revenue decimal(15,2),
Sale_date datetime2(7)
)
and
sale_reps
(
Id int Identity(1,1) PK,
RepName nvarchar(50)
)
What I need to do is get best sales rep based on the total revenue for each week, starting with 2014-06-01 and ending at current date.
Each week has 7 days and the first day is 2014-06-01.
So far I got to here:
SELECT TOP(1)
sr.RepName as RepName,
SUM(csr.Revenue) as Revenue
INTO #tmp1
FROM complete_sales_raw csr
JOIN sale_reps sr on csr.RepId = sr.Id
WHERE DATEDIFF( d,'2014-06-01', Sale_date ) BETWEEN 0 and 6
GROUP BY sr.RepName
ORDER BY 2 desc
But this only returns the best sale rep for the first week and I need it for each week.
All help is appreciated.
ok so, I created a week table like so
IF ( OBJECT_ID('dbo.tmp4') IS NOT NULL )
DROP TABLE dbo.tmp4
GO
Create Table tmp4(
StartDate datetime,Enddate datetime,WeekNo varchar(20)
)
DECLARE
#start_date DATETIME,
#end_date DATETIME,
#start_date1 DATETIME,
#end_date1 DATETIME
DECLARE #Table table(StartDate datetime,Enddate datetime,WeekNo varchar(20))
Declare #WeekDt as varchar(10)
SET #start_date = '2014-06-01'
SET #end_date = '2015-01-03'
Set #WeekDt = DATEPART(WEEK,#start_date)
SET #start_date1 = #start_date
While #start_date<=#end_date
Begin
--Select #start_date,#start_date+1
IF #WeekDt<>DATEPART(WEEK,#start_date)
BEGIN
Set #WeekDt = DATEPART(WEEK,#start_date)
SET #end_date1=#start_date-1
INSERT INTO tmp4 Values(#start_date1,#end_date1,DATEPART(WEEK,#start_date1))
SET #start_date1 = #start_date
END
set #start_date = #start_date+1
END
GO
and then I used Gordon's answer and made this:
SELECT t.StartDate as StartDate, sr.RepName as RepName, SUM(csr.Revenue) as Revenue,
RANK() OVER (PARTITION BY (t.StartDate) ORDER BY SUM(csr.Revenue) desc) as seqnum into tmp1
FROM tmp4 t,
complete_sales_raw csr
JOIN sale_reps sr on csr.RepId = sr.Id
WHERE DATEDIFF( d,t.StartDate, MAS_PostDate ) BETWEEN 0 and 6
GROUP BY sr.RepName, t.StartDate
SELECT * FROM tmp1
WHERE seqnum = 1
ORDER BY StartDate
which returns the best sales_rep for each week
You can do an aggregation to get the total sales by week. This requires some manipulation of the dates to calculate the number of weeks -- basically dividing the days by 7.
Then, use rank() (or row_number() if you only want one when there are ties) to get the top value:
SELECT s.*
FROM (SELECT tsr.RepName as RepName,
(DATEDIFF(day, '2014-06-01', MAS_PostDate ) - 1) / 7 as weeknum,
SUM(csr.Revenue) as Revenue,
RANK() OVER (PARTITION BY (DATEDIFF(day, '2014-06-01', MAS_PostDate ) - 1) / 7 ORDER BY SUM(csr.Revenue)) as seqnum
FROM complete_sales_raw csr JOIN
sale_reps sr
on csr.RepId = sr.Id
WHERE DATEDIFF(day, '2014-06-01', MAS_PostDate ) BETWEEN 0 and 6
GROUP BY sr.RepName, (DATEDIFF(day, '2014-06-01', MAS_PostDate ) - 1) / 7
) s
WHERE seqnum = 1;