I am in the process of writing a report and am having some trouble getting a series of data to return correctly (Data warehouse may be ideal, but not an option right now). Effectively, I have 2 tables I need to join and report on...
Transactions and Receipts. Transactions contain the amount billed and Receipts contain the amount paid. My report needs to show:
LastName | FirstName | Company | Location | Total | 30 | 60 | 90
---------------------------------------------------------------------
Tom | Clark | Microsoft | Washington | $300 | $80 | $100 | $120
Where 30,60,90 are buckets to show the amount owed 30 days ago, 60 days ago, etc. This is where I'm struggling. I can get the other values without issue. This is what I have thus far:
select
st.Client_Name_Last,
st.Client_Name_First,
st.Location_Company,
st.Location_Address_City,
sum((st.Billing_AmountPerUnitAllowed * st.Billing_NumberOfUnits) - coalesce(r.PaymentAmount, 0)) as Total,
(select sum((st.Billing_AmountPerUnitAllowed * st.Billing_NumberOfUnits) - coalesce(r.PaymentAmount, 0))
where DateDiff(day, st.service_date, #effectiveDate) > 0 and DateDiff(day, st.service_date, #effectiveDate) < 30) as '30',
(select sum((st.Billing_AmountPerUnitAllowed * st.Billing_NumberOfUnits) - coalesce(r.PaymentAmount, 0))
where DateDiff(day, st.service_date, #effectiveDate) >= 30 and DateDiff(day, st.service_date, #effectiveDate) < 60) as '60'
from
ServiceTransactions st
join Claims c on st.Claim_Id = c.Id
left outer join Receipts r on c.Id = r.ClaimId
group by
st.Client_Name_Last,
st.Client_Name_First,
st.Location_Company,
st.Location_Address_City
This of course doesn't work because the st.Service_Date is in the top level select statement, which causes an error because it's not in an aggregate or the group by clause. I've considered going with a Common Table Expression, but wasn't sure how to best utilize that. Any insight would be most appreciated.
Thanks for your time!
You want conditional aggregation. This puts the case inside the sum():
sum(case when DateDiff(day, st.service_date, #effectiveDate) > 0 and DateDiff(day, st.service_date, #effectiveDate) < 30)
then (st.Billing_AmountPerUnitAllowed * st.Billing_NumberOfUnits) -
coalesce(r.PaymentAmount, 0)
else 0
end) as days_30,
sum(case when DateDiff(day, st.service_date, #effectiveDate) >= 30 and DateDiff(day, st.service_date, #effectiveDate) < 60)
then (st.Billing_AmountPerUnitAllowed * st.Billing_NumberOfUnits) -
coalesce(r.PaymentAmount, 0)
else 0
end) as days_60
Related
Writing a T-SQL statement to display items in inventory broken out by day range (pivot).
For example from this inventory table:
ItemName
DateCreated
PO_ID
A
2020-10-07
0
B
2020-10-07
1
A
2020-10-22
2
A
2020-10-22
2
A
2020-10-22
2
B
2020-10-29
3
Would like to generate the bellow results (typically a pivot table), showing the number of pieces per ItemName per day range. The date used to calculate the # of days since DateCreated would be the day the report was ran or passed in as a parameter - in the example shown here, the date used is from '2020-11-07':
ItemName
0-10 days
11-20 days
21-30 days
>30 days
A
0
3
0
1
B
1
0
0
1
Not sure what would be the best way to write the statement to generate the above results?
I would use conditional aggregation:
select itemName,
sum(case when datediff(day, dateCreated, getdate()) <= 10 then 1 else 0 end) as days_0_10,
sum(case when datediff(day, dateCreated, getdate()) > 10 and
datediff(day, dateCreated, getdate()) <= 20
then 1 else 0 end) as days_11_20,
sum(case when datediff(day, dateCreated, getdate()) > 20 and
datediff(day, dateCreated, getdate()) <= 30
then 1 else 0 end) as days_21_30,
sum(case when datediff(day, dateCreated, getdate()) > 30 then 1 else 0 end) as days_31
from t
group by itemName
I would use something similar to the following query SQL Server:
SELECT *
FROM
(
SELECT [ItemName],[PO_ID],
CASE
WHEN DATEDIFF(day, DateCreated, getdate()) BETWEEN 0 AND 10 THEN '0-10 days'
WHEN DATEDIFF(day, DateCreated, getdate()) BETWEEN 11 AND 20 THEN '11-20 days'
WHEN DATEDIFF(day, DateCreated, getdate()) BETWEEN 21 AND 30 THEN '21-30 days'
ELSE '>30 days'
END AS PeriodCreated
FROM [TableName])
) src
pivot
(
COUNT(PO_ID)
FOR PeriodCreated in ([0-10 days], [11-20 days], [>30 days])
) piv
Is possible for my script code to return outstanding days on one column per created_Date?
What I would like my code to do is, have the total days such as 90_days, 120_days, 180_days, 365_days, or, 1 year by the side of Created_Date.
My query lists all data correctly per column name, however, I would like to see only one column displaying total days outstanding per Created_Date not all separate days outstanding with different headed columns.
I have tried the following, and I get all the days separated on separate columns.
Example, this is what I meant:
______________________________________________________
Created_Date | Days Outstanding
2015-01-02 08:29:06 | 90-120
2015-01-02 08:35:44 | 90-120
2015-01-02 08:37:34 | 365
2015-01-02 09:07:01 | 120-180
2015-01-02 09:07:01 | 1 Year Plus
______________________________________________________
[Script Code:]
SELECT DISTINCT ge.Name,
ge.Entity_Type,
ge.Entity_Number,
bc.Super_Entity_ID,
ch.Check_Date, 'Date check was requested
ch.Created_Date, ' Created_Date was paid in full
ch.Check_Number,
ch.Amount,
vn.Vendor_Name,
DATEDIFF(day, [Created_Date], Getdate()) as " Number of Days ", ' Number
of Days Outstanding
'90_days' = CASE WHEN DATEDIFF(day, [Created_Date], Getdate()) Between 90
AND 120 Then [Amount] END,
'120_days' = CASE WHEN DATEDIFF(day, [Created_Date], Getdate()) Between 120
AND 180 Then [Amount] END,
'180_plus' = CASE WHEN DATEDIFF(day, [Created_Date], Getdate()) > 180 Then
[Amount] END
FROM
dbo.gl_entities AS ge ' All linked tables listed with "INNER JOIN"
INNER JOIN
dbo.super_entity AS se
ON ge.Super_Entity_ID = se.Super_Entity_ID
INNER JOIN
dbo.bank_codes AS bc
ON se.Super_Entity_ID = bc.Super_Entity_ID
INNER JOIN
dbo.checks AS ch
ON bc.Bank_Code_ID = ch.Bank_Code_ID
INNER JOIN
dbo.vendors AS vn
ON ch.Vendor_ID = vn.Vendor_ID
WHERE
DATEDIFF(Day, ch.Created_Date, GETDATE ()) > = 90 AND
ge.Active = 1 and vn.active = 1 and (ge.IS_Shadow = 1 OR se.IS_Tiered = 0)
AND CHECK_DATE > '20150101 00:00:00'
AND CHECK_DATE< '20190918 00:00:00'
ORDER BY ch.Check_Date, ch.Created_Date
Use a single CASE expression, like:
CASE
WHEN DATEDIFF(day, [Created_Date], Getdate()) Between 90 AND 119 Then '90 days'
WHEN DATEDIFF(day, [Created_Date], Getdate()) Between 120 AND 179 Then '90 days'
WHEN DATEDIFF(day, [Created_Date], Getdate()) >= 180 Then '180+ days'
END As [Days Outstanding]
DBMS: SQL Server 2008
I have a table with the below structure, which represents tender applications by a particular vendor in different companies and the status of their application. Decision R = Reject, A = Accept.
---------------------------------------------------------------
| ID | Company | ApplicationDate | Decision | DecisionDate |
---------------------------------------------------------------
| 1 | ABC | 15/03/2011 | A | 17/04/2011 |
| 2 | ABC | 23/05/2012 | R | 01/03/2014 |
| 3 | XYZ | 14/07/2012 | R | 20/07/2012 |
| 4 | ABC | 18/01/2013 | A | 24/02/2013 |
| 5 | XYZ | 12/08/2013 | R | 11/09/2013 |
| 6 | ABC | 30/09/2013 | R | 14/10/2013 |
| 7 | ABC | 08/01/2014 | A | 08/06/2014 |
| 8 | ABC | 10/05/2014 | A | 19/05/2014 |
---------------------------------------------------------------
*Dates are in time-stamp format. Dates in the example table (dd/mm/yyyy) are for representation purpose only.
What I need to mine from this simple database is,
Number of tenders applied in the last 12 months - assuming 11/07/2014 as the current date.
Number of tenders rejected in the last 12 months.
Time in months since the last tender application.
Time in months since the last tender rejection.
Number of tenders applied in ABC in the last 12 months.
Number of tenders rejected in ABC in the last 12 months.
Time in months since the last tender application to ABC.
Time in months since the last tender rejection by ABC.
So based on the given table data, the statistics would be,
Four. (IDs 5, 6, 7 and 8 have application date with in 12 months of today)
Three (IDs 2, 5 and 6 have decision date with in 12 months and decision is R)
Two (10/05/2014 till today)
Four (ID 2's rejection was on 01/03/2014)
Three (IDs 6, 7 and 8)
Two (IDs 2 and 6)
Two (10/05/2014 till today)
Four (ID 2's rejection was on 01/03/2014)
Is there a way to get these stats using a single query on the table (possibly by using Sum with case)?
What I have so far is as below.
SELECT
SUM(CASE WHEN DATEDIFF(MM, ApplicationDate, GETDATE()) <= 12 THEN 1 ELSE 0 END) 'Total Tenders',
SUM(CASE WHEN DATEDIFF(MM, DecisionDate, GETDATE()) <= 12 AND DECISION = R THEN 1 ELSE 0 END) 'Total Rejects'
SUM(CASE WHEN DATEDIFF(MM, ApplicationDate, GETDATE()) <= 12 AND Company = 'ABC' THEN 1 ELSE 0 END) 'Total Tenders To ABC',
SUM(CASE WHEN DATEDIFF(MM, DecisionDate, GETDATE()) <= 12 AND DECISION = R AND Company = 'ABC' THEN 1 ELSE 0 END) 'Total Rejects By ABC'
FROM TenderTable;
That gives me 1, 2, 5 and 6 of the required stats.
You can use WITH ROLLUP
SET DATEFORMAT 'dmy'
DECLARE #tbl TABLE (ID INT, Company VARCHAR(3), ApplicationDate DATE, Decision CHAR(1), DecisionDate DATE)
INSERT INTO #tbl
(ID, Company, ApplicationDate, Decision, DecisionDate)
VALUES
(1,'ABC','15/03/2011','A','17/04/2011'),
(2,'ABC','23/05/2012','R','01/03/2014'),
(3,'XYZ','14/07/2012','R','20/07/2012'),
(4,'ABC','18/01/2013','A','24/02/2013'),
(5,'XYZ','12/08/2013','R','11/09/2013'),
(6,'ABC','30/09/2013','R','14/10/2013'),
(7,'ABC','08/01/2014','A','08/06/2014'),
(8,'ABC','10/05/2014','A','19/05/2014')
SELECT
Company = CASE WHEN (GROUPING(Company) = 1) THEN 'ALL' ELSE ISNULL(Company, 'UNKNOWN') END,
TendersApplied = SUM(CASE WHEN ApplicationDate >= DATEADD(M, -12, CAST(GETDATE() AS DATE)) THEN 1 END),
TendersRejected = SUM(CASE WHEN DecisionDate >= DATEADD(M, -12, CAST(GETDATE() AS DATE)) AND Decision = 'R' THEN 1 END),
MonthsSinceLastTenderApplication = DATEDIFF(M, MAX(ApplicationDate), GETDATE()),
MonthsSinceLastTenderRejection = DATEDIFF(M, MAX(CASE WHEN Decision = 'R' THEN DecisionDate END), GETDATE())
FROM #tbl
GROUP BY Company
WITH ROLLUP
HAVING GROUPING(Company) = 1
OR Company = 'ABC'
ORDER BY GROUPING(Company), Company
Which produces
Company TendersApplied TendersRejected MonthsSinceLastTenderApplication MonthsSinceLastTenderRejection
------- -------------- --------------- -------------------------------- ------------------------------
ABC 3 2 2 4
ALL 4 3 2 4
Edit by Questioner:
Modification to the query above satisfies the requirements.
SELECT
TendersApplied = SUM(CASE WHEN ApplicationDate >= DATEADD(M, -12, CAST(GETDATE() AS DATE)) THEN 1 END),
TendersRejected = SUM(CASE WHEN DecisionDate >= DATEADD(M, -12, CAST(GETDATE() AS DATE)) AND Decision = 'R' THEN 1 END),
MonthsSinceLastTenderApplication = DATEDIFF(M, MAX(ApplicationDate), GETDATE()),
MonthsSinceLastTenderRejection = DATEDIFF(M, MAX(CASE WHEN Decision = 'R' THEN DecisionDate END), GETDATE()),
TendersAppliedABC = SUM(CASE WHEN Company = 'ABC' AND ApplicationDate >= DATEADD(M, -12, CAST(GETDATE() AS DATE)) THEN 1 END),
TendersRejectedABC = SUM(CASE WHEN Company = 'ABC' AND DecisionDate >= DATEADD(M, -12, CAST(GETDATE() AS DATE)) AND Decision = 'R' THEN 1 END),
MonthsSinceLastTenderApplicationABC = DATEDIFF(M, MAX(CASE WHEN Company = 'ABC' THEN ApplicationDate END), GETDATE()),
MonthsSinceLastTenderRejectionABC = DATEDIFF(M, MAX(CASE WHEN Company = 'ABC' AND Decision = 'R' THEN DecisionDate END), GETDATE())
FROM #tbl
You may be overlooking an simple way that is not obvious if you've not seen it before.
For example, I have a Table Named StateCounty that has State and County data
select count(*) as TotalCounties
, (select count(*) from StateCounty where StateCode = 'AK') as AlaskaCounties
, (select count(*) from StateCounty where StateCode = 'TX') as TexasCounties
, (select count(*) from StateCounty where County = 'Marion') as CountiesNamedMarion
, (select count(*) from StateCounty where County = 'Washington') as CountiesNamedWashington
from StateCounty
Yields the output
TotalCounties AlaskaCounties TexasCounties CountiesNamedMarion CountiesNamedWashington
------------- -------------- ------------- ------------------- -----------------------
3131 17 254 17 31
(1 row(s) affected)
I believe you can write the query you want yourself now.
I have a table in #SQL server 2008 that has transaction data. The table looks like this. I would like to have this in a sql statement.
TransactionId|TransactionDate|TransactionType|Amount|Balance|UserId
The transaction type can be one of four types, Deposit, Withdrawals, Profit and Stake. I give an example how it can look like in the transaction table. The balance is the Sum of amount column.
TransactionId|TransactionDate|TransactionType|Amount|Balance|UserId
1| 2013-03-25| Deposit| 150| 150| 1
2| 2013-03-27| Stake| -20| 130| 1
3| 2013-03-28| Profit | 1500| 1630| 1
4 | 2013-03-29| Withdrawals| -700| 930| 1
5| 2013-03-29| Stake | -230 | 700 | 1
6| 2013-04-04| Stake| -150 | 550| 1
7| 2013-04-06| Stake | -150 | 400| 1
What I want now is to get a select statement that gives me all data grouped by week. The result should look like this.
Week|Deposit|Withdrawals|Stake|Profit|Balance|Year
13 | 150| -700 | -250 | 1500 | 700 | 2013
14 | 0 | 0 | -300| 0 | 400 | 2013
I have also problem with the weeks... I live in Europe an my first day in a week is monday. I have a solution for that but around the end of a year I get sometimes week 54 but there are only 52 weeks in a year...
I hope someone can help me out.
This is what I have so far.
SELECT transactionid,
transactiondate,
transactiontype,
amount,
(SELECT Sum(amount)
FROM transactions AS trans_
WHERE trans_.transactiondate <= trans.transactiondate
AND userid = 1) AS Balance,
userid,
Datepart(week, transactiondate) AS Week,
Datepart(year, transactiondate) AS Year
FROM transactions trans
WHERE userid = 1
ORDER BY transactiondate DESC,
transactionid DESC
Here's sample data and my query on sql-fiddle: http://www.sqlfiddle.com/#!3/79d65/92/0
In order to transform the data from the rows into columns, you will want to use the PIVOT function.
You did not specify what balance value you want to return but based on the final result, it looks like you want the final balance to be the value associated with the last transaction date for each day. If that is not correct, then please clarify what the logic should be.
In order to get the result you will want to use the DATEPART and YEAR functions. These will allow grouping by both the week and year values.
The following query should get the result that you want:
select week,
coalesce(Deposit, 0) Deposit,
coalesce(Withdrawals, 0) Withdrawals,
coalesce(Stake, 0) Stake,
coalesce(Profit, 0) Profit,
Balance,
Year
from
(
select datepart(week, t1.transactiondate) week,
t1.transactiontype,
t2.balance,
t1.amount,
year(t1.transactiondate) year
from transactions t1
cross apply
(
select top 1 balance
from transactions t2
where datepart(week, t1.transactiondate) = datepart(week, t2.transactiondate)
and year(t1.transactiondate) = year(t2.transactiondate)
and t1.userid = t2.userid
order by TransactionId desc
) t2
) d
pivot
(
sum(amount)
for transactiontype in (Deposit, Withdrawals, Stake, Profit)
) piv;
See SQL Fiddle with Demo. The result is:
| WEEK | DEPOSIT | WITHDRAWALS | STAKE | PROFIT | BALANCE | YEAR |
------------------------------------------------------------------
| 13 | 150 | -700 | -250 | 1500 | 700 | 2013 |
| 14 | 0 | 0 | -300 | 0 | 400 | 2013 |
As a side note, you stated that your start of the week is Monday, you might have to use the DATEFIRST function to set the first day of the week.
Another option, without using PIVOT, but rather with few CASEs
WITH CTE AS
(
SELECT
TransactionId
,TransactionDate
,DATEPART(WEEK, TransactionDate) AS Week
,CASE WHEN TransactionType='Deposit' THEN Amount ELSE 0 END AS Deposit
,CASE WHEN TransactionType='Stake' THEN Amount ELSE 0 END AS Stake
,CASE WHEN TransactionType='Profit' THEN Amount ELSE 0 END AS Profit
,CASE WHEN TransactionType='Withdrawals' THEN Amount ELSE 0 END AS Withdrawals
,Balance
,DATEPART(YEAR, TransactionDate) AS Year
FROM dbo.Transactions
)
SELECT
Week, SUM(Deposit) AS Deposit, SUM(Withdrawals) AS Withdrawals, SUM(Stake) AS Stake, SUM(Profit) AS Profit,
(SELECT Balance FROM CTE i WHERE i.TransactionID = MAX(o.TransactionID)) AS BAlance, Year
FROM CTE o
GROUP BY Week, Year
SQLFiddle Demo
http://www.sqlfiddle.com/#!3/79d65/89
;WITH cte AS
(
SELECT datepart(ww, transactiondate) wk,
sum(CASE WHEN TransactionType = 'Deposit' THEN Amount ELSE 0 END) AS D,
sum(CASE WHEN TransactionType = 'Withdrawals' THEN Amount ELSE 0 END) AS W,
sum(CASE WHEN TransactionType = 'Profit' THEN Amount ELSE 0 END) AS P,
sum(CASE WHEN TransactionType = 'Stake' THEN Amount ELSE 0 END) AS S,
sum(
CASE WHEN TransactionType = 'Deposit' THEN Amount ELSE 0 END +
CASE WHEN TransactionType = 'Withdrawals' THEN Amount ELSE 0 END +
CASE WHEN TransactionType = 'Profit' THEN Amount ELSE 0 END +
CASE WHEN TransactionType = 'Stake' THEN Amount ELSE 0 END +
CASE WHEN TransactionType = 'Balance' THEN Amount ELSE 0 END) AS wkTotal
FROM transactions
GROUP BY datepart(ww, transactiondate)),
cte1 AS
(
SELECT *, row_number() over (ORDER BY wk) AS rowNum
FROM cte)
SELECT wk, d, w, p, s, wktotal
+ coalesce((SELECT top 1 wktotal FROM cte1 x WHERE x.rownum < m.rownum ), 0) AS RunningBalance
FROM cte1 m
I have a table that tracks emails sent from applications on my server. I would like to write a query that shows how many emails were sent by each application in a certain time period. Here is the table:
----------------------------------------------------------
| emailID | SentDT | ApplicationName |
----------------------------------------------------------
| 1 | 2011-08-04 14:43:31.080 | Term Form |
----------------------------------------------------------
| 2 | 2011-08-04 13:59:46.062 | Term Form |
----------------------------------------------------------
| 3 | 2011-08-03 10:38:15.015 | Request Form |
----------------------------------------------------------
| 4 | 2011-08-03 05:52:29.005 | Term Form |
----------------------------------------------------------
| 5 | 2011-08-01 19:58:31.094 | Recruiting Form |
----------------------------------------------------------
I would like to see number of emails sent Today, Last 24 hours, Last 7 days, This Month, Last Month, All time.
I know how to do each of these queries by themselves, but I have no clue how to do it in one trip to the database.
For example:
--------------------------------------------------------------
| ApplicationName | Today | Last24 | Last7days | ThisMonth |
--------------------------------------------------------------
| Term Form | 2 | 5 | 10 | 19 |
--------------------------------------------------------------
| Request Form | 9 | 18 | 36 | 75 |
--------------------------------------------------------------
| Recruiting Form | 15 | 35 | 100 | 250 |
--------------------------------------------------------------
I tried using a nested select for each subset of times, but I can't use a group by in the nested select. My query that doesn't produce results:
select COUNT(emailID), ApplicationName, (select COUNT(emailID) from emaillog where SentDT > '08/02/2011') as TwoDaysAgo
from emaillog
group by ApplicationName
order by ApplicationName
I think it's much easier to do all the date calculations up front, then you can refer to local variables with logical names instead of embedding all the datediff/case etc. calculations in the query logic.
Made a couple of assumptions here. (1) that no data in EmailLog is in the future (2) that by "Last 7 days" you mean today and the full 6 days preceding. I've also included a grand total - even though it's not listed in your desired output, it seems you were trying to get it with the COUNT() outside the subquery.
DECLARE #now SMALLDATETIME = SYSDATETIME();
DECLARE #today DATE = #now,
#24hrsago SMALLDATETIME = DATEADD(DAY, -1, #now);
DECLARE #7daysago DATE = DATEADD(DAY, -6, #today),
#ThisMonth DATE = DATEADD(DAY, 1-DATEPART(DAY, #today), #today);
--SELECT #now, #today, #24hrsago, #7daysago, #ThisMonth;
WITH d AS
(
SELECT ApplicationName, c = COUNT(*)
FROM EmailLog
GROUP BY ApplicationName
),
g AS
(
SELECT
ApplicationName,
[Today] = SUM(CASE WHEN SentDt >= #today THEN 1 ELSE 0 END),
[Last24] = SUM(CASE WHEN SentDt >= #24hrsago THEN 1 ELSE 0 END),
[Last7Days] = SUM(CASE WHEN SentDt >= #7daysago THEN 1 ELSE 0 END),
[ThisMonth] = SUM(CASE WHEN SentDt >= #ThisMonth THEN 1 ELSE 0 END)
FROM EmailLog
GROUP BY ApplicationName
)
SELECT d.ApplicationName,
Total = d.c,
[Today] = COALESCE(g.[Today], 0),
[Last24] = COALESCE(g.[Last24], 0),
[Last7days] = COALESCE(g.Last7days, 0),
[ThisMonth] = COALESCE(g.ThisMonth, 0)
FROM d LEFT OUTER JOIN g
ON d.ApplicationName = g.ApplicationName;
EDIT
If my assumption was wrong and you don't need the total count by application name, the query becomes much simpler:
DECLARE #now SMALLDATETIME = SYSDATETIME();
DECLARE #today DATE = #now,
#24hrsago SMALLDATETIME = DATEADD(DAY, -1, #now);
DECLARE #7daysago DATE = DATEADD(DAY, -6, #today),
#ThisMonth DATE = DATEADD(DAY, 1-DATEPART(DAY, #today), #today);
SELECT ApplicationName,
[Today] = SUM(CASE WHEN SentDt >= #today THEN 1 ELSE 0 END),
[Last24] = SUM(CASE WHEN SentDt >= #24hrsago THEN 1 ELSE 0 END),
[Last7Days] = SUM(CASE WHEN SentDt >= #7daysago THEN 1 ELSE 0 END),
[ThisMonth] = SUM(CASE WHEN SentDt >= #ThisMonth THEN 1 ELSE 0 END)
FROM EmailLog
GROUP BY ApplicationName;
Ordering optional of course.
try:
Select ApplicationName, COunt(*) numEmails
From table
where SentDT Between #startDateTime and #EndDateTime
Group By ApplicationName
NOTE: startDateTime and EndDateTime are oundary limits on records to be processed.
if you also want to establish buckets around specified datetiome ranges, you simply need to define those datetime range buckets in another group by expression (and output that same expression in the select clause ... as an example, say the datetime ranges are calendar months...
Select DateAdd(month, DateDiff(month, 0, SentDT), 0) CalMonth,
ApplicationName, Count(*) numEmails
From table
where SentDT Between #startDateTime and #EndDateTime
Group By DateAdd(month, DateDiff(month, 0, SentDT), 0),
ApplicationName
Something like this should do the trick
select
ApplicationName,
sum(case when daterange = 0 then cnt else 0 end) as Today,
sum(case when daterange = 1 then cnt else 0 end) as yesterday,
sum(case when daterange <=2 then cnt else 0 end) as Week,
sum(case when daterange <=3 then cnt else 0 end) as month,
sum(cnt) as AllTime
from
(select
ApplicationName,
case
when days = 0 then '0'
when days = 1 then '1'
when days <= 7 then '2'
when days <= 30 then '3'
else 4
end as
DateRange,
Count(emailid) cnt
from
(select ApplicationName, EmailID, datediff(dd, SentDT, getdate()) as Days
from
dbo.[YourTableGoesHere]
) as foo
Group by
ApplicationName,
case when days < 1 then '0'
when days = 1 then '1'
when days <= 7 then '2'
when days <= 30 then '3'
else 4
end) as bar
group by
ApplicationName