How to I set a column called NEW_BAL, result are from strResponseTextNull minus of the MIGS_STATUS_Approved:
SELECT
Convert(char(8), WebPayH_dtmRequest, 112)as MIGSPaymentRequestDate,
SUM(case when WebPayH_strResponseText IS NULL then 1 else 0 end) as strResponseTextNull,
SUM(case when WebPayH_strApproved like 'Y' then 1 else 0 end) as MIGS_STATUS_Approved,
SUM(case when WebPayH_strResponseText like 'Transaction+was+blocked+by+the+Payment+Server+because+it+did+not+pass+all+risk+checks.' then 1 else 0 end) as RiskCheckNotPass,
SUM(case when WebPayH_strResponseText like 'The+card+holder+was+not+authorised.+This+is+used+in+3-D+Secure+Authentication.' then 1 else 0 end) as ThreeDNotEnabled,
SUM(case when WebPayH_strResponseText like 'Expired+Card' then 1 else 0 end) as ExpiredCard,
SUM(case when WebPayH_strResponseText like 'Declined' then 1 else 0 end) as DeclinedByBank,
SUM(case when WebPayH_strResponseText like 'Insufficient+Funds' then 1 else 0 end) as InsufficientFunds,
SUM(case when WebPayH_strResponseText like 'Timed+Out' then 1 else 0 end) as TimerOut,
**-- SELECT strResponseTextNull - SUM MIGS_STATUS_Approved AS NEW_BAL**
count(WebPayH_strResponseCode) AS TotalMIGSPaymentRequest
FROM
[VISTAIT].[dbo].[tblWebPaymentHistory]
WHERE
WebPayH_dtmRequest >= '2015-05-07'
GROUP BY
Convert(char(8), WebPayH_dtmRequest, 112)
ORDER BY
Convert(char(8), WebPayH_dtmRequest, 112)
Try this
SELECT
Convert(char(8), WebPayH_dtmRequest, 112)as MIGSPaymentRequestDate,
SUM(case when WebPayH_strResponseText IS NULL then 1 else 0 end) as strResponseTextNull,
SUM(case when WebPayH_strApproved like 'Y' then 1 else 0 end) as MIGS_STATUS_Approved,
SUM(case when WebPayH_strResponseText like 'Transaction+was+blocked+by+the+Payment+Server+because+it+did+not+pass+all+risk+checks.' then 1 else 0 end) as RiskCheckNotPass,
SUM(case when WebPayH_strResponseText like 'The+card+holder+was+not+authorised.+This+is+used+in+3-D+Secure+Authentication.' then 1 else 0 end) as ThreeDNotEnabled,
SUM(case when WebPayH_strResponseText like 'Expired+Card' then 1 else 0 end) as ExpiredCard,
SUM(case when WebPayH_strResponseText like 'Declined' then 1 else 0 end) as DeclinedByBank,
SUM(case when WebPayH_strResponseText like 'Insufficient+Funds' then 1 else 0 end) as InsufficientFunds,
SUM(case when WebPayH_strResponseText like 'Timed+Out' then 1 else 0 end) as TimerOut,
SUM(case when WebPayH_strResponseText IS NULL then 1 else 0 end)-SUM(case when WebPayH_strApproved like 'Y' then 1 else 0 end) as NEW_BAL,
count(WebPayH_strResponseCode) AS TotalMIGSPaymentRequest
FROM
[VISTAIT].[dbo].[tblWebPaymentHistory]
WHERE
WebPayH_dtmRequest >= '2015-05-07'
GROUP BY
Convert(char(8), WebPayH_dtmRequest, 112)
ORDER BY
Convert(char(8), WebPayH_dtmRequest, 112)
Related
I have this extract form a query im writing.
What I want to do is sum only the successful payments
something along the lines of
, SUM(CASE WHEN (LOWER(result) = 'successful') THEN (SUM(amount) as amt_paid) ELSE 0 END) AS Successful_Payed
Here is the query extract.
Select
resultdate
, SUM(amount) as amt_paid
, SUM(CASE WHEN (LOWER(result) = 'successful') THEN 1 ELSE 0 END) AS Successful
, SUM(CASE WHEN (LOWER(result) = 'unsuccessful') THEN 1 ELSE 0 END) AS Unsuccessful
, SUM(CASE WHEN (LOWER(result) = 'tracking') THEN 1 ELSE 0 END) AS Tracking
, SUM(CASE WHEN (LOWER(result) = 'dispute') THEN 1 ELSE 0 END) AS Dispute
From paysoft_results
Group By resultdate
Order By resultdate
change like this
Select
resultdate
, SUM(CASE WHEN (LOWER(result) = 'successful') THEN amount ELSE 0 END) AS
Successful_Payed
, SUM(CASE WHEN (LOWER(result) = 'successful') THEN 1 ELSE 0 END) AS Successful
, SUM(CASE WHEN (LOWER(result) = 'unsuccessful') THEN 1 ELSE 0 END) AS Unsuccessful
, SUM(CASE WHEN (LOWER(result) = 'tracking') THEN 1 ELSE 0 END) AS Tracking
, SUM(CASE WHEN (LOWER(result) = 'dispute') THEN 1 ELSE 0 END) AS Dispute
From paysoft_results
Group By resultdate
Order By resultdate
Is there a way I could get the grand total of each month. I've looked into Rollup but cant seem to figure it out.
Query I have is
SELECT t.city,f.fname,f.lname,
SUM(CASE datepart(month,ddate) WHEN 1 THEN 1 ELSE 0 END) AS 'January',
SUM(CASE datepart(month,ddate) WHEN 2 THEN 1 ELSE 0 END) AS 'February',
SUM(CASE datepart(month,ddate) WHEN 3 THEN 1 ELSE 0 END) AS 'March',
SUM(CASE datepart(month,ddate) WHEN 4 THEN 1 ELSE 0 END) AS 'April',
SUM(CASE datepart(month,ddate) WHEN 5 THEN 1 ELSE 0 END) AS 'May',
SUM(CASE datepart(month,ddate) WHEN 6 THEN 1 ELSE 0 END) AS 'June',
SUM(CASE datepart(month,ddate) WHEN 7 THEN 1 ELSE 0 END) AS 'July',
SUM(CASE datepart(month,ddate) WHEN 8 THEN 1 ELSE 0 END) AS 'August',
SUM(CASE datepart(month,ddate) WHEN 9 THEN 1 ELSE 0 END) AS 'September',
SUM(CASE datepart(month,ddate) WHEN 10 THEN 1 ELSE 0 END) AS 'October',
SUM(CASE datepart(month,ddate) WHEN 11 THEN 1 ELSE 0 END) AS 'November',
SUM(CASE datepart(month,ddate) WHEN 12 THEN 1 ELSE 0 END) AS 'December',
SUM(CASE datepart(year,ddate) WHEN 2014 THEN 1 ELSE 0 END) AS 'TOTAL'
from world T
INNER JOIN sales F ON T.ID=F.ID
where t.city = ROME
group by t.city,f.fname,f.lname
Output example
t.city, f.fname, f.lname January total
ROME John Doe 5 5
Grand Total 5 5
Did you try this?
group by GROUPING SETS((t.city, f.fname, f.lname), ())
To get Grand Total you'll need to change the select as well.
And, as a note: use single quotes only for string and date constants. Using them for column identifiers can lead to confusing and problems. Either drop the quotes altogether or use square braces or double quotes.
EDIT:
Without group by extensions or CTEs this is a pain. There is a trick to doing it with minimal modifications:
SELECT (case when which = 'normal' then t.city else 'Grand Total' end),
(case when which = 'normal' then f.fname end),
(case when which = 'normal' then f.lname end),
SUM(CASE datepart(month,ddate) WHEN 1 THEN 1 ELSE 0 END) AS 'January',
SUM(CASE datepart(month,ddate) WHEN 2 THEN 1 ELSE 0 END) AS 'February',
SUM(CASE datepart(month,ddate) WHEN 3 THEN 1 ELSE 0 END) AS 'March',
SUM(CASE datepart(month,ddate) WHEN 4 THEN 1 ELSE 0 END) AS 'April',
SUM(CASE datepart(month,ddate) WHEN 5 THEN 1 ELSE 0 END) AS 'May',
SUM(CASE datepart(month,ddate) WHEN 6 THEN 1 ELSE 0 END) AS 'June',
SUM(CASE datepart(month,ddate) WHEN 7 THEN 1 ELSE 0 END) AS 'July',
SUM(CASE datepart(month,ddate) WHEN 8 THEN 1 ELSE 0 END) AS 'August',
SUM(CASE datepart(month,ddate) WHEN 9 THEN 1 ELSE 0 END) AS 'September',
SUM(CASE datepart(month,ddate) WHEN 10 THEN 1 ELSE 0 END) AS 'October',
SUM(CASE datepart(month,ddate) WHEN 11 THEN 1 ELSE 0 END) AS 'November',
SUM(CASE datepart(month,ddate) WHEN 12 THEN 1 ELSE 0 END) AS 'December',
SUM(CASE datepart(year,ddate) WHEN 2014 THEN 1 ELSE 0 END) AS 'TOTAL'
from world T INNER JOIN
sales F
ON T.ID=F.ID cross join
(select 'normal' as which union all select 'total') as which
where t.city = ROME
group by (case when which = 'normal' then t.city else 'Grand Total' end),
(case when which = 'normal' then f.fname end),
(case when which = 'normal' then f.lname end);
(I'm not reformatting the rest of the query, but you should not use single quotes for column identifiers. Only use single quotes for string and date constants.)
Edit: Using GROUP BY ROLLUP(grouping columns) this will calculate the sum of the aggregated columns. By default it will return 'NULL' for all grouped columns but you can put an ISNULL wrapper around to get rid of it, or return a specific value.
SELECT ISNULL(t.city, 'Grand Total') AS [City],f.fname AS [Fname],f.lname AS [Lname],
SUM(CASE datepart(month,ddate) WHEN 1 THEN 1 ELSE 0 END) AS [January],
SUM(CASE datepart(month,ddate) WHEN 2 THEN 1 ELSE 0 END) AS [February],
SUM(CASE datepart(month,ddate) WHEN 3 THEN 1 ELSE 0 END) AS [March],
SUM(CASE datepart(month,ddate) WHEN 4 THEN 1 ELSE 0 END) AS [April],
SUM(CASE datepart(month,ddate) WHEN 5 THEN 1 ELSE 0 END) AS [May],
SUM(CASE datepart(month,ddate) WHEN 6 THEN 1 ELSE 0 END) AS [June],
SUM(CASE datepart(month,ddate) WHEN 7 THEN 1 ELSE 0 END) AS [July],
SUM(CASE datepart(month,ddate) WHEN 8 THEN 1 ELSE 0 END) AS [August],
SUM(CASE datepart(month,ddate) WHEN 9 THEN 1 ELSE 0 END) AS [September],
SUM(CASE datepart(month,ddate) WHEN 10 THEN 1 ELSE 0 END) AS [October],
SUM(CASE datepart(month,ddate) WHEN 11 THEN 1 ELSE 0 END) AS [November],
SUM(CASE datepart(month,ddate) WHEN 12 THEN 1 ELSE 0 END) AS [December],
SUM(CASE datepart(year,ddate) WHEN 2014 THEN 1 ELSE 0 END) AS [TOTAL]
FROM world T
INNER JOIN sales F ON T.ID=F.ID
WHERE t.city = ROME
GROUP BY ROLLUP(t.city,f.fname,f.lname)
I am attempting to group by twice, once by an individual level field and then by the month of the timestamp field.
Little new to SQL but here's what I came up with after reading another SO post here: SQL query to group by month part of timestamp
SELECT
VwNIMUserDim.USER_EMAIL_ADDRESS,
VwNIMEventFct.NIM_USER_ID,
SUM(CASE WHEN NIM_EVENT_TYPE_ID = 880 THEN 1 ELSE 0 END) AS APP_OPEN,
SUM(CASE WHEN NIM_EVENT_TYPE_ID = 881 THEN 1 ELSE 0 END) AS AUTODL_SETTINGS_SAVE,
SUM(CASE WHEN NIM_EVENT_TYPE_ID = 882 THEN 1 ELSE 0 END) AS AUTO_QUERY_CONFIRM,
SUM(CASE WHEN NIM_EVENT_TYPE_ID = 883 THEN 1 ELSE 0 END) AS ISSUE_CLOSE,
SUM(CASE WHEN NIM_EVENT_TYPE_ID = 884 THEN 1 ELSE 0 END) AS ISSUE_DOWNLOAD,
SUM(CASE WHEN NIM_EVENT_TYPE_ID = 885 THEN 1 ELSE 0 END) AS ISSUE_DOWNLOAD_COMPLETE,
SUM(CASE WHEN NIM_EVENT_TYPE_ID = 886 THEN 1 ELSE 0 END) AS PICKER_SEND_PICKS
FROM RDMAVWSANDBOX.VwNIMEventFct
GROUP BY NIM_USER_ID, MONTH('EVENT_GMT_TIMESTAMP')
The error message returned by my SQL client, Teradata, says:
"SELECT FAILED Error 3706 Syntax error expected something in between ',' and the MONTH keyword.
This is my first time doing two things: Grouping By twice and using the Month function.
What am I doing wrong here? How do I group by email address users in each month?
There's no MONTH function in Teradata/Standard SQL, it's EXTRACT(YEAR/MONTH/DAY/HOUR/MINUTE/SECOND):
EXTRACT(MONTH FROM EVENT_GMT_TIMESTAMP)
Your query as written will result in a PRODUCT (Cartesian) JOIN between the VwNIMUserDIm and VwNIMEventFct tables (views). I have taken the liberty to modify the SQL based on your comments to the previous response:
SELECT
User_.USER_EMAIL_ADDRESS,
Event_.NIM_USER_ID,
Event_.EVENT_GMT_TIMESTAMP(FORMAT 'yyyy-mm')(char(7)) AS EVENT_MONTH,
SUM(CASE WHEN Event_.NIM_EVENT_TYPE_ID = 880 THEN 1 ELSE 0 END) AS APP_OPEN,
SUM(CASE WHEN Event_.NIM_EVENT_TYPE_ID = 881 THEN 1 ELSE 0 END) AS AUTODL_SETTINGS_SAVE,
SUM(CASE WHEN Event_.NIM_EVENT_TYPE_ID = 882 THEN 1 ELSE 0 END) AS AUTO_QUERY_CONFIRM,
SUM(CASE WHEN Event_.NIM_EVENT_TYPE_ID = 883 THEN 1 ELSE 0 END) AS ISSUE_CLOSE,
SUM(CASE WHEN Event_.NIM_EVENT_TYPE_ID = 884 THEN 1 ELSE 0 END) AS ISSUE_DOWNLOAD,
SUM(CASE WHEN Event_.NIM_EVENT_TYPE_ID = 885 THEN 1 ELSE 0 END) AS ISSUE_DOWNLOAD_COMPLETE,
SUM(CASE WHEN Event_.NIM_EVENT_TYPE_ID = 886 THEN 1 ELSE 0 END) AS PICKER_SEND_PICKS
FROM RDMAVWSANDBOX.VwNIMEventFct Event_
JOIN RDMAVWSANDBOX.VwNIMUserDim User_
ON Event_.NIM_USER_ID = User_.NIM_USER_ID
GROUP BY 1,2;
Possibly depending on database origin (MSSQL, mySQL, Oracle, DB2, Etc)
SELECT
VwNIMUserDim.USER_EMAIL_ADDRESS,
VwNIMEventFct.NIM_USER_ID,
MONTH(EVENT_GMT_TIMESTAMP),
SUM(CASE WHEN NIM_EVENT_TYPE_ID = 880 THEN 1 ELSE 0 END) AS APP_OPEN,
SUM(CASE WHEN NIM_EVENT_TYPE_ID = 881 THEN 1 ELSE 0 END) AS AUTODL_SETTINGS_SAVE,
SUM(CASE WHEN NIM_EVENT_TYPE_ID = 882 THEN 1 ELSE 0 END) AS AUTO_QUERY_CONFIRM,
SUM(CASE WHEN NIM_EVENT_TYPE_ID = 883 THEN 1 ELSE 0 END) AS ISSUE_CLOSE,
SUM(CASE WHEN NIM_EVENT_TYPE_ID = 884 THEN 1 ELSE 0 END) AS ISSUE_DOWNLOAD,
SUM(CASE WHEN NIM_EVENT_TYPE_ID = 885 THEN 1 ELSE 0 END) AS ISSUE_DOWNLOAD_COMPLETE,
SUM(CASE WHEN NIM_EVENT_TYPE_ID = 886 THEN 1 ELSE 0 END) AS PICKER_SEND_PICKS
FROM RDMAVWSANDBOX.VwNIMEventFct
GROUP BY NIM_USER_ID, MONTH(EVENT_GMT_TIMESTAMP)
I have following query:
SELECT
datediff(d, 0, sauda_date),
Scrip_Code,
SUM(CASE WHEN Buy_sell = 1 THEN Trade_Qty ELSE 0 END) AS BuyQty,
SUM(CASE WHEN Buy_sell = 1 THEN Market_Rate ELSE 0 END) AS BuyRate,
SUM(CASE WHEN Buy_sell = 1 THEN Trade_Qty * Market_Rate ELSE 0 END) AS BuyAmount,
SUM(CASE WHEN Buy_sell = 2 THEN Trade_Qty ELSE 0 END) AS SellQty,
SUM(CASE WHEN Buy_sell = 2 THEN Market_Rate ELSE 0 END) AS SellRate,
(CASE WHEN SUM(CASE WHEN Buy_sell = 1 THEN Trade_Qty ELSE 0 END) >
SUM(CASE WHEN Buy_sell = 2 THEN Trade_Qty ELSE 0 END) THEN 'BF'
ELSE 'BT' END ) as TradeType,
SUM(CASE WHEN Buy_sell = 2 THEN Trade_Qty * Market_Rate ELSE 0 END) AS SellAmount,
SUM(CASE WHEN Buy_sell = 1 THEN Trade_Qty ELSE 0 END) -
SUM(CASE WHEN Buy_sell = 2 THEN Trade_Qty ELSE 0 END) as NETQTY,
SUM(CASE WHEN Buy_sell = 1 THEN Trade_Qty * Market_Rate ELSE 0 END) -
SUM(CASE WHEN Buy_sell = 2 THEN Trade_Qty * Market_Rate ELSE 0 END)as NetAmt,
SUM(CASE WHEN Buy_sell = 2 THEN Trade_Qty * Market_Rate ELSE 0 END) -
SUM(CASE WHEN Buy_sell = 1 THEN Trade_Qty * Market_Rate ELSE 0 END) as PNLAmt
FROM tradeFile
where Inst_Type = 'FUTIDX'
OR Inst_Type='FUTSTK'
and Sauda_Date = convert(datetime,'1 Mar 2013')
group by Scrip_Code, ExpiryDate, datediff(d,0,sauda_date)
Result:
This query is for taking sum of Buy_Qty,Sell_Qty datewise.[With ref to this quest:not able to get individual date in query result
But as we can see datediff(d,0,sauda_date) column (i.e. first column) is giving me some result, but i wanted to add sauda_date also in this result as a date.
what changes i should make in this query.
I tried it by adding directly sauda_date in query but it gives me error.
Please guid me.
If you use a GROUP BY in your query then (in case of T-SQL) in the field's part of a query you can use only fields from GROUP BY or aggregate functions (SUM, COUNT,....). So you can't add just sauda_date. You should add it with aggregate function. For example MIN(sauda_date). OR you can add it to GROUP BY part.
Not sure with your result requirement..
simply adding sauda_date in select list should not give error if you includ it in group by list, i have tried belwo and its working.
Select datediff(d,0,f.Date),
sum(f.price),
f.OrderID,
f.Date
from test f
group by f.Date,OrderID,datediff(d,0,f.Date)
Else
you can use self join to get only sauda date joining main result on your key column
I have a table with total no of 1000 records in it.It has the following structure:
EMP_ID EMP_NAME PHONE_NO ARR_DATE
1 A 545454 2012/03/12
I want to calculate no of records for every month in year-2012
Is there any way that should solve my issue in a single shot?
I tried:
select count(*)
from table_emp
where year(ARR_DATE) = '2012' and month(ARR_DATE) = '01'
SELECT COUNT(*)
FROM table_emp
WHERE YEAR(ARR_DATE) = '2012'
GROUP BY MONTH(ARR_DATE)
This will give you the count per month for 2012;
SELECT MONTH(ARR_DATE) MONTH, COUNT(*) COUNT
FROM table_emp
WHERE YEAR(arr_date)=2012
GROUP BY MONTH(ARR_DATE);
Demo here.
Try This query:
SELECT
SUM(CASE datepart(month,ARR_DATE) WHEN 1 THEN 1 ELSE 0 END) AS 'January',
SUM(CASE datepart(month,ARR_DATE) WHEN 2 THEN 1 ELSE 0 END) AS 'February',
SUM(CASE datepart(month,ARR_DATE) WHEN 3 THEN 1 ELSE 0 END) AS 'March',
SUM(CASE datepart(month,ARR_DATE) WHEN 4 THEN 1 ELSE 0 END) AS 'April',
SUM(CASE datepart(month,ARR_DATE) WHEN 5 THEN 1 ELSE 0 END) AS 'May',
SUM(CASE datepart(month,ARR_DATE) WHEN 6 THEN 1 ELSE 0 END) AS 'June',
SUM(CASE datepart(month,ARR_DATE) WHEN 7 THEN 1 ELSE 0 END) AS 'July',
SUM(CASE datepart(month,ARR_DATE) WHEN 8 THEN 1 ELSE 0 END) AS 'August',
SUM(CASE datepart(month,ARR_DATE) WHEN 9 THEN 1 ELSE 0 END) AS 'September',
SUM(CASE datepart(month,ARR_DATE) WHEN 10 THEN 1 ELSE 0 END) AS 'October',
SUM(CASE datepart(month,ARR_DATE) WHEN 11 THEN 1 ELSE 0 END) AS 'November',
SUM(CASE datepart(month,ARR_DATE) WHEN 12 THEN 1 ELSE 0 END) AS 'December',
SUM(CASE datepart(year,ARR_DATE) WHEN 2012 THEN 1 ELSE 0 END) AS 'TOTAL'
FROM
sometable
WHERE
ARR_DATE BETWEEN '2012/01/01' AND '2012/12/31'
select count(*)
from table_emp
where DATEPART(YEAR, ARR_DATE) = '2012' AND DATEPART(MONTH, ARR_DATE) = '01'