Quickest way to get aggregate date statistics / pivot - sql-server

Question

I am tryig to write what must be a fairly common audit report; number of rows added to a table over time; reported back against previous cycles to understand the trends in the data.
I have a table that audits creation of rows in the database. It has a field RowEnteredDate date time. I am looking to create an audit report Week/ Month/ Current Quarter / Year.
In my head I am looking at this as multiple passes over the data around the dates; which is quite costly in my database. My reasoning at the moment is
I started out with working out the dates for my year / month / quarter
set datefirst 1
declare #dateranges table (
rangelabel varchar(100),
startdate datetime,
enddate datetime,
myrowcount integer identity(1,1)
)
insert into #dateranges (Rangelabel, startdate, enddate)
select
'Current Year',
DATEADD(yy, DATEDIFF(yy,0,GETDATE()), 0),
DATEADD(ms,-3,DATEADD(yy, DATEDIFF(yy,0,GETDATE() )+1, 0))
insert into #dateranges (Rangelabel, startdate, enddate)
select
'Current Quarter',
DATEADD(qq, DATEDIFF(qq,0,GETDATE()), 0),
DATEADD(qq, DATEDIFF(qq, - 1, getdate()), - 1)
insert into #dateranges (Rangelabel, startdate, enddate)
select
'Current Month',
DATEADD(month, DATEDIFF(month, 0, getdate()), 0),
DATEADD(s,-1,DATEADD(mm, DATEDIFF(m,0,GETDATE())+1,0))
If my table is tblOfUsefullFacts and my date row is RowEnteredDate what is the best way to get the aggregate; broken by Day.
Date Range Mon Tues Wed Thu Fri Sat Sun
Year To date 12000 13000 12000 3200 98000 8900 4000
Quarter 1 302 407 201 97 1732 120 37
Month ...
I can get the totals by day easily enough using a query like this
select
count(*) ,
datepart(weekday, RowEnteredDate)
from
tblOfUsefullFacts aa
Where
datepart(weekday, RowEnteredDate) is not null
group by datepart(weekday, RowEnteredDate)
order by datepart(weekday, RowEnteredDate) sac
This selects the data out row by row; which i could pivot and loop round to get the data. Im slightly nervous as the real numbers are in the 10's of millions in them and would like to not impact the underlying processing if i can avoid it.
As i need to do this in multiple passes is there a lighter way to do this without running the loops to get the totals? Or a mechanism in SQL my fuzzy brain is ignoring.

Answer 1

This should give you an idea how to do it. Sorry for any syntax errors, it isn't tested.
;with cte as
(
select
d.rangelabel,
datepart(weekday, RowEnteredDate) as WkDay,
count(*) as RowCt
from tblOfUsefullFacts f
join #dateranges d on f.RowEnteredDate between d.startdate and d.enddate
Where datepart(weekday, RowEnteredDate) is not null
group by d.rangelabel,datepart(weekday, RowEnteredDate)
)
select
RangeLabel,
sum(case when WkDay = 1 then RowCt else 0 end) as Sunday,
sum(case when WkDay = 2 then RowCt else 0 end) as Monday,
sum(case when WkDay = 3 then RowCt else 0 end) as Tuesday,
sum(case when WkDay = 4 then RowCt else 0 end) as Wednesday,
sum(case when WkDay = 5 then RowCt else 0 end) as Thursday,
sum(case when WkDay = 6 then RowCt else 0 end) as Friday,
sum(case when WkDay = 7 then RowCt else 0 end) as Saturday
from cte
group by RangeLabel