enter image description here
above is the image of the code, my objective is to have 4 columns demonstrating the prices for a bill cycle, and 4 columns demonstrating the average of all bill cycles one year before the initial bill cycle.
the first inner select works by itself and adds the 4 columns to the right in the picture below, the problem starts when I want to add second inner select the 4 columns for yearly average. initially I didn't have the "select * from", but I couldn't find a better way
the base of the problem is that I can't implement 2 Where clauses on the same column.
below is the snap shot of what I get from running only the first inner select.
enter image description here
I have tried union , join, cross join ... but none seem to work, one person suggested "window function" but I haven't worked with that yet.
this is the error below:
enter image description here
RAW CODE TEXT IS BELOW:
VARIABLE START_DATE CHAR
EXEC :START_DATE :=''
VARIABLE END_DATE CHAR
EXEC :END_DATE=''
select * from
(SELECT
"REPORTS"."WEK_MTD_BILL_SUM_HIST_T"."BILL_CYCLE",
"REPORTS"."WEK_MTD_BILL_SUM_HIST_T"."MTD_TOT" AS NET_TOTAL,
SUM(
SUM(
CASE WHEN "REPORTS"."WEK_MTD_BILL_SUM_HIST_T"."BLI_TYPE" = 'Charges'
THEN "WEK_MTD_BILL_SUM_HIST_T"."MTD_TOT" END)) OVER() AS TOTAL_CHARGES,
SUM(
SUM(
CASE WHEN "REPORTS"."WEK_MTD_BILL_SUM_HIST_T"."BLI_TYPE" = 'Credits'
THEN "WEK_MTD_BILL_SUM_HIST_T"."MTD_TOT" END)) OVER() AS TOTAL_CREDIT,
SUM(
SUM(
CASE WHEN "REPORTS"."WEK_MTD_BILL_SUM_HIST_T"."BLI_TYPE" = 'Previous Weekly Billing Net Total'
THEN "WEK_MTD_BILL_SUM_HIST_T"."MTD_TOT" END)) OVER() AS PRV_INVOICED,
SUM(
SUM(
CASE WHEN "REPORTS"."WEK_MTD_BILL_SUM_HIST_T"."BLI_TYPE" = 'Total Due / Receivable'
THEN "WEK_MTD_BILL_SUM_HIST_T"."MTD_TOT"
ELSE 0 END)) OVER() AS Net_Due_Total
FROM "REPORTS"."WEK_MTD_BILL_SUM_HIST_T"),
(SELECT
"REPORTS"."WEK_MTD_BILL_SUM_HIST_T"."BILL_CYCLE",
"REPORTS"."WEK_MTD_BILL_SUM_HIST_T"."MTD_TOT" AS NET_TOTAL,
(SUM(
SUM(
CASE WHEN "REPORTS"."WEK_MTD_BILL_SUM_HIST_T"."BLI_TYPE" = 'Total Due / Receivable' AND ( "REPORTS"."WEK_MTD_BILL_SUM_HIST_T"."BILL_CYCLE" BETWEEN '1-JAN-2022 4' AND :END_DATE)
THEN "WEK_MTD_BILL_SUM_HIST_T"."MTD_TOT" ELSE 0 END)) OVER()/COUNT(DISTINCT(BILL_CYCLE))) AS X
FROM
"REPORTS"."WEK_MTD_BILL_SUM_HIST_T"
WHERE
("REPORTS"."WEK_MTD_BILL_SUM_HIST_T"."BILL_CYCLE" BETWEEN :START_DATE AND :END_DATE )
)
GROUP BY
"REPORTS"."WEK_MTD_BILL_SUM_HIST_T"."MTD_TOT" ,
"REPORTS"."WEK_MTD_BILL_SUM_HIST_T"."BILL_CYCLE"
;
Related
I have two tables: one with downtime and the other with productive time.
I want to have a table like this
But I am getting this
In the result, I am getting twice the downtime of the sum for the report 04102021-1, but as can be seen in the second picture, the value is present only once.
The script I am using is the following:
SELECT WAJ.REPORTCODE,--BASIC_REPORT_TABLE.TECHNICIAN,BASIC_REPORT_TABLE.JOBREPORTCODE,
SUM(CASE WHEN DATEDIFF(SECOND,WAJ.TIMESTARTED,WAJ.TIMEFINISHED)<0
THEN (86400+DATEDIFF(SECOND,WAJ.TIMESTARTED,WAJ.TIMEFINISHED))/3600.0
ELSE DATEDIFF(SECOND,WAJ.TIMESTARTED,WAJ.TIMEFINISHED) /3600.0
END) AS PRODUCTION_TIME,
SUM(CASE WHEN DATEDIFF(SECOND,WAS.TIMESTARTED,WAS.TIMEFINISHED)<0
THEN (86400+DATEDIFF(SECOND,WAS.TIMESTARTED,WAS.TIMEFINISHED))/3600.0
ELSE DATEDIFF(SECOND,WAS.TIMESTARTED,WAS.TIMEFINISHED) /3600.0
END) AS DOWNTIME
FROM WORK_AT_JOB WAJ,WAITING_AT_SITE WAS
WHERE (WAJ.REPORTCODE=WAS.REPORTCODE AND WAJ.REPORTCODE LIKE '04102021%') GROUP BY WAJ.REPORTCODE
After the #xQbert comment, I tried this:
SELECT WAS.REPORTCODE,
SUM(CASE WHEN DATEDIFF(SECOND,WAJ.TIMESTARTED,WAJ.TIMEFINISHED)<0
THEN (86400+DATEDIFF(SECOND,WAJ.TIMESTARTED,WAJ.TIMEFINISHED))/3600.0
ELSE DATEDIFF(SECOND,WAJ.TIMESTARTED,WAJ.TIMEFINISHED) /3600.0
END) AS PRODUCTION_TIME,
SUM(CASE WHEN DATEDIFF(SECOND,WAS.TIMESTARTED,WAS.TIMEFINISHED)<0
THEN (86400+DATEDIFF(SECOND,WAS.TIMESTARTED,WAS.TIMEFINISHED))/3600.0
ELSE DATEDIFF(SECOND,WAS.TIMESTARTED,WAS.TIMEFINISHED) /3600.0
END) AS DOWNTIME
FROM WAITING_AT_SITE WAS
JOIN WORK_AT_JOB WAJ
ON (WAJ.REPORTCODE=WAS.REPORTCODE AND WAS.REPORTCODE LIKE '04102021%') GROUP BY WAS.REPORTCODE
But I got the same result.
May you give some advice to get the result I want?
Thanks in advance
You could use conditional aggregation for this, but the easiest, and probably most performant, way to do this is to pre-aggregate the results before you join.
SELECT
waj.REPORTCODE
waj.PRODUCTION_TIME,
was.DOWNTIME
FROM (
SELECT
waj.REPORTCODE,
SUM(CASE WHEN v.diff < 0 THEN 86400 + v.diff ELSE v.diff END / 3600.0) AS PRODUCTION_TIME
FROM WORK_AT_JOB waj
CROSS APPLY (VALUES( DATEDIFF(SECOND, waj.TIMESTARTED, waj.TIMEFINISHED) )) v(diff)
WHERE waj.REPORTCODE LIKE '04102021%'
GROUP BY
waj.REPORTCODE
) waj
JOIN (
SELECT
was.REPORTCODE,
SUM(CASE WHEN v.diff < 0 THEN 86400 + v.diff ELSE v.diff END / 3600.0) AS PRODUCTION_TIME
FROM WAITING_AT_SITE was
CROSS APPLY (VALUES( DATEDIFF(SECOND, was.TIMESTARTED, was.TIMEFINISHED) )) v(diff)
WHERE was.REPORTCODE LIKE '04102021%'
GROUP BY
was.REPORTCODE
) was ON waj.REPORTCODE = was.REPORTCODE;
Note the use of CROSS APPLY (VALUES to avoid code repetition.
As an example, I have this dataé
Total submission 170
Passed Submission 32
Failed Submission 137
Skipped Submission 1
I need to be able to show:
Pass percentage
Fail Percentage
Skip percentage
Can someone help achieve this in SQL?
since I dont know what the table looks like here is an example on how it could look
select
round(pass/total,2)*100 as passPercentage
, round(fail/total,2)*100 as failPercentage
, round(skip/total,2)*100 as skipPercentage
from table
Its Worked For Me - Answer is :
convert(float,Secondset.PassedSubmission)*100/convert(float,FirstSet.TotalSubmission) as PassPercentage,
(convert(float,FirstSet.TotalSubmission)-(Convert(float,Secondset.PassedSubmission)+Convert(float,thirdset.SkippedSubmission)))*100/convert(float,FirstSet.TotalSubmission)) as FailPercentage,
convert(float,thirdset.SkippedSubmission)*100/convert(float,FirstSet.TotalSubmission) as SkipPercentage
It depends on how your data is structured and how you want to return your results. If you have a table with one row per submission and a status field, you can do either of these:
SELECT status, (COUNT(*) * 1.00) / (SELECT COUNT(*) FROM submission) AS status_pct
FROM submission
GROUP BY status
;
SELECT
(SUM(CASE WHEN status = 'passed' THEN 1 ELSE 0 END) * 1.00) / COUNT(*) AS pass_pct,
(SUM(CASE WHEN status = 'failed' THEN 1 ELSE 0 END) * 1.00) / COUNT(*) AS fail_pct,
(SUM(CASE WHEN status = 'skipped' THEN 1 ELSE 0 END) * 1.00) / COUNT(*) AS skip_pct
FROM submission
;
SQL Fiddle
I have a table
I need to exclude all lines where having round( sum(QtyInvoiced),1) = 0 and round(sum(Amount),1) =0
I try the following script but it dosen't work, how to correct it?
select sum( QtyInvoiced ) , sum(Amount) ,salesNumber
from invoicesales
group by salesNumber
except
select sum( QtyInvoiced ) , sum(Amount) ,salesNumber
from invoicesales
group by salesNumber
having round( sum(QtyInvoiced),1) = 0 and round(sum(Amount),1) =0
try like below using <> not equal
select sum( QtyInvoiced ) , sum(Amount) ,salesNumber
from invoicesales
group by salesNumber
having round( sum(QtyInvoiced),1) <> 0 and round(sum(Amount),1)<>0
If you want to exclude those rows, perhaps you want a NOT?
HAVING NOT(ROUND( SUM(QtyInvoiced),1) = 0 AND ROUND(SUM(Amount),1) = 0);
Otherwise yes, your SQL will do exactly what you've asked for to return the rows where the sum of QtyInvoiced and Amount equals 0 (not exclude those that do).
i have table named source table with data like this :
And i want to do query that subtract row with status plus and minus to be like this group by product name :
How to do that in SQL query? thanks!
Group by the product and then use a conditional SUM()
select product,
sum(case when status = 'plus' then total else 0 end) -
sum(case when status = 'minus' then total else 0 end) as total,
sum(case when status = 'plus' then amount else 0 end) -
sum(case when status = 'minus' then amount else 0 end) as amount
from your_table
group by product
There is another method using join, which works for the particular data you have provided (which has one "plus" and one "minus" row per product):
select tplus.product, (tplus.total - tminus.total) as total,
(tplus.amount - tminus.amount) as amount
from t tplus join
t tminus
on tplus.product = tminus.product and
tplus.status = 'plus' and
tplus.status = 'minus';
Both this and the aggregation query work well for the data you have provided. In other words, there are multiple ways to solve this problem (each has its strengths).
you can query as below:
select product , sum (case when [status] = 'minus' then -Total else Total end) as Total
, sum (case when [status] = 'minus' then -Amount else Amount end) as SumAmount
from yourproduct
group by product
I got this code and in this code I do a sum of the slow and fast driver. My Problem is I must divide this sum with the normal driver. I don´t know how I can do a division in this statement:
Select *
FROM (
Select date as Datetime, tevent.name as Event, level = case
when levelname = 'High' then 'High'
when levelname = 'Normal' then 'Normal'
when shiftname = 'Low' then 'Low'
end, SUM(value) as sum
from tCount inner join tEvent ON tCount.eventid = tevent.id
where Name in ('Drive Fast', 'Drive Slow')
and date > getdate() -1
and tevent.Name in ('E01','E02','E03','E04','E05','E06','E07','E08')
and CalName = 'Drive'
group by tevent.name, date, levelname
) as s
PIVOT
(
SUM(sum)
FOR Event IN (E01,E02,E03,E04,E05,E06,E07,E08)
) as p
order by Datetime, level
And Then I put the same Select statement with the normal driver :
... from tCount inner join tEvent ON tCount.eventid = tevent.id
where Name in ('drive normal') ...
And I would like to make a division like this:
(Sum('drive fast' + 'drive slow')/Sum('drive normal')) * 100
There is a simpler way to include different cases in different sums inside a SQL statement: sum a case, like in the below calculation of percent:
Select ...
, SUM(case Name
when 'drive fast' then Value
when 'drive slow' then value
else 0 end)
/ SUM(case Name
when 'drive normal' then value
else 0 end) * 100 as percentage
from ...
where ...
group by ...;
As I lack data to test this code, I created a query on the CARS table SAS delivers as training material, implementing the same principle.
select Cylinders
, sum(case origin when 'USA' then EngineSize
when 'Asia' then EngineSize
else 0.0 end)
/ sum(case origin when 'Europe' then EngineSize
else 0.0 end)
* 100 as percentage
from sasHelp.cars
where Cylinders in (4, 5, 6, 12)
group by Cylinders