compare two different date ranges sales in two columns - sql

I want to compare two different date ranges sales in two columns.. I am using query below but its giving wrong sales.. please correct my query
select s1.Itm_cd,s1.Itm_Name,Sum(S1.amount),Sum(s2.amount)
from salestrans s1,salestrans s2
where s1.Itm_cd = S2.Itm_cd
and S1.Tran_dt between '20181101' and'20181130'
and S2.Tran_dt between '20171101' and '20171130'
group by s1.Itm_cd,s1.Itm_Name
Order by s1.Itm_cd

I suspect that you want conditional aggregation here:
WITH cte AS (
SELECT
s1.Itm_cd,
s1.Itm_Name,
SUM(CASE WHEN s1.Tran_dt BETWEEN '20181101' AND '20181130'
THEN s1.amount ELSE 0 END) AS sum_2018,
SUM(CASE WHEN s1.Tran_dt BETWEEN '20171101' AND '20171130'
THEN s1.amount ELSE 0 END) AS sum_2017
FROM salestrans s1
GROUP BY
s1.Itm_cd,
s1.Itm_Name
)
SELECT
Itm_cd,
Itm_Name,
sum_2018,
sum_2017,
CASE WHEN COALESCE(sum_2017, 0) <> 0
THEN FORMAT(100.0 * (sum_2018 - sum_2017) / sum_2017, 'N', 'en-us')
ELSE 'NA' END AS growth_pct
FROM cte
ORDER BY
Itm_cd;

Please try the following
select s1.Itm_cd,s1.Itm_Name,Sum(S1.amount),Sum(s2.amount)
from salestrans s1,salestrans s2
where s1.Itm_cd = S2.Itm_cd
and Convert(Varchar(10),S1.Tran_dt,112) between '20181101' and'20181130'
and Convert(Varchar(10),S2.Tran_dt,112) between '20171101' and '20171130'
group by s1.Itm_cd,s1.Itm_Name
Order by s1.Itm_cd
Here the logic is that in right side while comparision you are providing only date and not any separator and time. The same way should be applied to the column in left side for comparision.
if(Convert(Varchar(10), getdate(),112) = '20181224')
print 'Matched'
else
print 'Not Matched'
if(getdate() = '20181224')
print 'Matched'
else
print 'Not Matched'
Here the output is Matched for first and Not Matched because in first case both side same format has been taken for comparison.

Related

aggregate function error in case expression

I have this query
SELECT mylearning.Employee_Id,
case
when max(case when not mylearning.CourseStatusTXT = 'Completed' then 1 else 0 end) = 0 then '2018 Complete'
when max(case when mylearning.CourseStatusTXT in ('Started', 'Not Started') then 1 else 0 end) = 1 then '2018 Not Complete'
end as Completion_Status
FROM Analytics.myLearning_Completions as mylearning inner join Analytics.Workday WD on mylearning.Employee_ID = WD.Employee_ID
And I want to add a condition to the first when statement to make it like this
when max(case when not mylearning.CourseStatusTXT = 'Completed' then 1 else 0 end) = 0
and WD.Adjusted_Hire_Date like '2019% '
and mylearning.CourseTimeCompletedH < cast (WD.Adjusted_Hire_Date as date format 'YYYY/MM/DD') +7
then '2018 Complete'
but I keep getting this error
Executed as Single statement. Failed [3504 : HY000] Selected non-aggregate values must be part of the associated group.
Elapsed time = 00:00:00.069
How can I fix it?
Like a couple others mentioned, you are trying to mix grouped data with non-aggregated data in your calculation, which is why you're getting the 3504 error. You need to either include the referenced columns in your GROUP BY or include them inside an aggregate function (i.e. MAX).
I'm not 100% sure if this is what you're after, but hopefully it can help you along.
SELECT
mylearning.Employee_Id,
CASE
WHEN
MAX(CASE WHEN NOT mylearning.CourseStatusTXT = 'Completed' THEN 1 ELSE 0 END) = 0 AND
WD.Adjusted_Hire_Date like '2019% ' AND
-- Check if most recently completed course is before Hire (Date + 1 week)
MAX(mylearning.CourseTimeCompletedH) <
CAST(WD.Adjusted_Hire_Date AS DATE FORMAT 'YYYY/MM/DD') + 7
THEN '2018 Complete' -- No incomplete learnings
WHEN MAX(
CASE WHEN mylearning.CourseStatusTXT IN ('Started', 'Not Started') THEN 1 ELSE 0 END
) = 1 THEN '2018 Not Complete' -- Started / Not Started learnings exist
END AS Completion_Status
FROM Analytics.myLearning_Completions as mylearning -- Get learning info
INNER JOIN Analytics.Workday WD on mylearning.Employee_ID = WD.Employee_ID -- Employee info
GROUP BY mylearning.Employee_Id, WD.Adjusted_Hire_Date
This will give you a summary per employee, with a couple assumptions:
Assuming employee_ID value in Analytics.Workday is a unique value (one-to-one join), to use WD.Adjusted_Hire_Date in your comparisons, you just need to include it in the GROUP BY.
Assuming you have multiple courses per employee_Id, in order to use mylearning.CourseTimeCompletedH in your comparisons, you'd need to wrap that in an aggregate like MAX.
The caveat here is that the query will check if the most recently completed course per employee is before the "hire_date" expression, so I'm not sure if that's what you're after.
Give it a try and let me know.
The issue here is that you are mixing detail row by row information in the same query as group or aggregated data. Aggregated data will output a single value for all the rows unless you have a group by clause. If you have a group by clause then it will output a single value for each group. When you are grouping you can also include any values that are in the group by clause since they will be unique for the group.
if you want this data for each employee, then you could group by employee_id. Any other data would need to also be an aggregate like Max(Adjusted_Hire_Date)
Maybe this is what you want?
SELECT
mylearning.employee_id
, case
when CourseStatusTXT = 'Completed' and WD.Adjusted_Hire_Date like '2019%'
and mylearning.CourseTimeCompletedH < cast (WD.Adjusted_Hire_Date as date format 'YYYY/MM/DD') +7
then '2018 Complete'
else '2018 Not Complete'
end CompletionStatus
FROM myLearning_Completions mylearning, Workday WD
WHERE mylearning.employee_id = WD.employee_id

Sql out put which come into multiple row converted to single row

This query give multiple row which needs to be shown in single row. Please help.
SELECT blng_serv_code, (COUNT (blng_serv_code)) AS total ,
DECODE (package_trx_yn, 'Y', 'PKG', 'N', 'NPKG') pkg_status FROM bl_patient_charges_folio
WHERE operating_facility_id = 'MC'
AND trx_date >= TO_DATE ('10/10/2019 00:00:00', 'MM/DD/YYYY HH24:MI:SS')AND blng_serv_code = 'LBSB000015'
GROUP BY blng_serv_code, package_trx_yn
If you want the value in a single row, leave out the package status:
SELECT blng_serv_code, COUNT(*) AS total
FROM bl_patient_charges_folio
WHERE operating_facility_id = 'MC' AND
trx_date >= DATE '2019-10-10' AND
blng_serv_code = 'LBSB000015'
GROUP BY blng_serv_code;
If you do want the package status, then you need to explain the logic for including it "on a single row".
EDIT:
It sounds like you want the values in separate columns:
SELECT blng_serv_code, COUNT(*) AS total,
SUM(CASE WHEN package_trx_yn = 'Y' THEN 1 ELSE 0 END) as pkg_cnt,
SUM(CASE WHEN package_trx_yn = 'N' THEN 1 ELSE 0 END) as npkg_cnt
FROM bl_patient_charges_folio
WHERE operating_facility_id = 'MC' AND
trx_date >= DATE '2019-10-10' AND
blng_serv_code = 'LBSB000015'
GROUP BY blng_serv_code;

Using SUM SEC_TO_TIME in MariaDB

Reference from How to sum time using mysql
I want to SUM Field LogsFormatted.Late Every month with query :
SELECT
SUM(CASE
WHEN MONTH (LogsFormatted.DateIn) = 1
THEN SEC_TO_TIME( SUM( TIME_TO_SEC(LogsFormatted.Late)))
ELSE 0 END
) AS '1'
FROM
HrAttLogsFormatted AS LogsFormatted
But the result is
1111 - Invalid use of group function
Where is the problem with the query? resulting in an error output.. Thank you in advance
[EDIT-SOLVED] It's Solved with simply apply
Change format SUM at the beginning of the query
SEC_TO_TIME(SUM(
CASE WHEN MONTH(LogsFormatted.DateIn) = 1 THEN
TIME_TO_SEC(LogsFormatted.Late) END)
) AS '1'
You don't need to call the sum() so many times. You can also move the case condition to the WHERE clause:
SELECT SUM(TIME_TO_SEC(lf.Late))
FROM HrAttLogsFormatted lf
WHERE MONTH(lf.DateIn) = 1 ;
If you want conditional aggregation, then do:
SELECT SUM(CASE WHEN MONTH(lf.DateIn) = 1 THEN TIME_TO_SEC(lf.Late) END)
FROM HrAttLogsFormatted lf;

Complex Query SQL

I am currently working on an sql query where i am receiving data in three different rows, i really need the data in one single row
SELECT
substring(D.F1056, patindex('%[^0]%',D.F1056), 10) as Shop_Number,
REPLACE(CONVERT(VARCHAR(10), D.F254, 103), '/', '') AS Todays_Date,
SDP_TAB.F03 as Rayon,
[SDP_TAB].F04 as Famille,
CASE
WHEN D.F1034=3 THEN SUM(D.F64)
ELSE 0
END as Qty_Sold ,
CASE
WHEN D.F1034=3 THEN convert(DOUBLE PRECISION, SUM(D.F65)*100) * 10
ELSE 0
END as chiffre_daffaire_Caisse,
0 as montant_remisse_caisse,
CASE
WHEN D.F1034=3011 THEN SUM(D.F64)
WHEN D.F1034=3012 THEN SUM(D.F64)
ELSE 0
END as Qty_retour,
CASE
WHEN D.F1034=3011 THEN SUM(D.F65)
WHEN D.F1034=3012 THEN SUM(D.F65)
ELSE 0
END as Montant_Retour,
0 as Quantity,
CASE
WHEN D.F1034=3102 THEN SUM(D.F64)
ELSE 0
END as ClientCount,
F1034
FROM
[dbo].[RPT_ITM_D] D
LEFT OUTER JOIN [dbo].[POS_TAB] ON (D.F01=POS_TAB.F01)
LEFT OUTER JOIN [dbo].SDP_TAB ON (POS_TAB.F04=SDP_TAB.F04)
where
D.F1034 IN (3,3012,3011,3102)
AND
D.F254 = convert(varchar, getdate(), 101)
group by D.F1056,D.F254,SDP_TAB.F03,SDP_TAB.F04,D.F1034
My data is being populated as below
I am having three rows since i am having several condition for field F1034
Is there a way to have the expected result as below
Try this. (Using max with calculated columns)
With resultData as (
—Put your original query here
)
Select Shop_Number, Todays_Date,rayon,famille
,max(Qty_Sold) Qty_Sold, max(chiffre_daffaire_Caisse) chiffre_daffaire_Caisse
,max(montant_remisse_caisse) montant_remisse_caisse,max(Qty_retour) Qty_retour,max(Montant_Retour) Montant_Retour
,max(Quantity)Quantity,max(ClientCount) ClientCount,max(F1034) F1034
From resultData
group by Shop_Number, Todays_Date,rayon,famille

Result showing two rows to one row

I wrote a query to count positive and negative results per day. My problem is that I am getting two rows per postivie to negative day.
I want one row with a positive and negative column for each day( no multiple days).
SELECT case([MsrSplatPositive]) when '0' then count([MsrSplatPositive]) end as 'Negative'
,case([MsrSplatPositive]) when '1' then count([MsrSplatPositive]) end as 'Positive'
,CONVERT(VARCHAR(10), f.NewsDate, 106) as 'Date'
FROM [News].[dbo].[Score] s
inner join [News].[dbo].[Feed] f
on f.ScoreId = s.Id
where f.NewsDate between dateadd(day,-30,GETDATE()) and GETDATE()
group by [MsrSplatPositive],CONVERT(VARCHAR(10), f.NewsDate, 106)
Remove MsrSplatPositive from the GROUP BY.
That is forcing the positive and negative results into different days.
And then use a SUM(CASE...) instead of CASE(COUNT...)
You have this in the SELECT:
case([MsrSplatPositive]) when '0' then count([MsrSplatPositive]) end as 'Negative'
and instead want this:
sum(CASE WHEN MsrSplatPositive = 0 THEN 1 ELSE 0 END) as 'Negative'
EDIT:
All fixed up should be something like:
SELECT SUM(CASE WHEN MsrSplatPositive = 0 THEN 1 ELSE 0 END) 'Negative'
,SUM(MsrSplatPositive 'Positive'
,CONVERT(VARCHAR(10), f.NewsDate, 106) as 'Date'
FROM News.dbo.Score s
INNER JOIN
News.dbo.Feed f on f.ScoreId = s.Id
WHERE f.NewsDate BETWEEN DATEADD(DAY,-30,GETDATE()) and GETDATE()
GROUP BY f.NewsDate
Try this...I haven't run the query but think this should achieve the result. I have modified your original query to return 0 instead of null in the positive and negative column. Then used the modified SQL as a temp table and grouped by the date values.
Select Sum(Temp.Negative), Sum(Temp.Positive), Temp.Date From
(
SELECT case([MsrSplatPositive]) when '0' then count([MsrSplatPositive])
else 0 end as 'Negative'
,case([MsrSplatPositive]) when '1' then count([MsrSplatPositive]
else 0) end as 'Positive'
,CONVERT(VARCHAR(10), f.NewsDate, 106) as 'Date'
FROM [News].[dbo].[Score] s
inner join [News].[dbo].[Feed] f
on f.ScoreId = s.Id
where f.NewsDate between dateadd(day,-30,GETDATE()) and GETDATE()
group by [MsrSplatPositive],CONVERT(VARCHAR(10), f.NewsDate, 106)
) Temp
Group By Temp.Date
Hope this helps.