SQLITE How to Divide two count results in the same query - sql

My current code:
SELECT VENDOR.[VENDOR_NAME], DEVICE.[DEVICE_NAME], DEVICE.[PK_DEVICE],MODELDEVICE.[FK_MODELDEVICE_DEVICE],
COUNT(RESULT.[FK_RESULT_COMMAND]) AS TOTAL_TESTS,
COUNT(case when TYPERESULT.[TYPERESULT_NAME]='ERROR' then 1 else null end) as ERROR,
COUNT(case when TYPERESULT.[TYPERESULT_NAME]='OK' then 1 else null end) as OK,
COUNT(case when TYPERESULT.[TYPERESULT_NAME]='SKIP' then 1 else null end) as SKIP,
COUNT(DISTINCT PK_COMMAND) AS COMMAND_COUNT,
COUNT(DISTINCT RESULT_ORDER) AS RESULT_COUNT
The question is that I need another column with the result of dividing total ERROR results in TOTAL_TESTS results, and I donĀ“t know how to do that

I have a preference for using SUM() in this case, rather than COUNT(). I think you will see why, because the average is easy to calculate as well:
COUNT(*) AS TOTAL_TESTS,
SUM(case when TYPERESULT.[TYPERESULT_NAME] = 'ERROR' then 1 else 0 end) as ERROR,
SUM(case when TYPERESULT.[TYPERESULT_NAME] = 'OK' then 1 else 0 end) as OK,
AVG(case when TYPERESULT.[TYPERESULT_NAME] = 'ERROR' then 1.0 else 0 end) as ERROR,
. . .
Note the use of 1.0. This is because SQLite does integer division, so we need to pass in a non-integer value.

Just divide the 2 columns.
SELECT VENDOR.[VENDOR_NAME], DEVICE.[DEVICE_NAME], DEVICE.[PK_DEVICE],MODELDEVICE.[FK_MODELDEVICE_DEVICE],
COUNT(RESULT.[FK_RESULT_COMMAND]) AS TOTAL_TESTS,
COUNT(CASE WHEN TYPERESULT.[TYPERESULT_NAME] = 'ERROR' THEN 1 ELSE NULL END) AS ERROR,
COUNT(CASE WHEN TYPERESULT.[TYPERESULT_NAME] = 'OK' THEN 1 ELSE NULL END) AS OK,
COUNT(CASE WHEN TYPERESULT.[TYPERESULT_NAME] = 'SKIP' THEN 1 ELSE NULL END) AS SKIP,
COUNT(DISTINCT PK_COMMAND) AS COMMAND_COUNT,
COUNT(DISTINCT RESULT_ORDER) AS RESULT_COUNT,
(COUNT(CASE WHEN TYPERESULT.[TYPERESULT_NAME] = 'ERROR' THEN 1.0 ELSE NULL END))/(COUNT(RESULT.[FK_RESULT_COMMAND])) AS DivColumn

Related

Cleaning "SUM" Query

I have a bit of sql code that look similar to this:
select sum(case when latitude = '0' then 1 else 0 end) as count_zero,
sum(case when latitude is NULL then 1 else 0 end) as count_null,
sum((case when latitude = '0' then 1 else 0 end) +
(case when latitude is NULL then 1 else 0 end)
) as total_zero,
count(latitude) as count_not_nulls,
count(*) as total
from sites_database
Is there a "cleaner" way to write this same query. I have tried using the "sum" expression using the column alias, something like:
Sum(count_zero + count_null) as total_null
But this doesn't seem to work for some reason
You could use COUNT instead of SUM:
SELECT
COUNT(CASE WHEN latitude = '0' THEN 1 END) As count_zero,
COUNT(CASE WHEN latitude IS NULL THEN 1 END) AS count_null,
COUNT(CASE WHEN COALESCE(latitude, '0') = '0' THEN 1 END) AS total_zero,
COUNT(latitude) As count_not_nulls,
COUNT(*) as total
FROM sites_database;
Using COUNT here saves a bit of coding, because we don't have to provide an explicit ELSE condition (the default ELSE is NULL, which just isn't counted at all). Also note that for the total_zero conditional sum, I used COALESCE to merge the two counts into just one.

CASE Expression returning NULL when with other case statements, returns expected result when alone

When i run this line of code alone i get the expected result of 1:
sum(case when facilityname like '%AT%' then count(status) else 0 end) as AT_all_status
However when i run with multiple case statements together as shown in this example all case statements return NULL:
sum(case when facilityname like '%AT%' then count(status) else 0 end) as AT_all_status,
sum(case when facilityname like '%AT%' and status in ('Current','Approved') then count(status) else 0 end) as AT_approved_current,
sum(case when facilityname like '%CZ%' then count(status) else 0 end) as CZ_all_status,
sum(case when facilityname like '%CZ%' and status in ('Current','Approved') then count(status) else 0 end) as CZ_approved_current,
sum(case when facilityname like '%FGE%' then count(status) else 0 end) as FGE_all_status,
sum(case when facilityname like '%FGE%' and status in ('Current','Approved') then count(status) else 0 end) as FGE_approved_current,
sum(case when facilityname like '%FRA%' then count(status) else 0 end) as FRA_all_status,
sum(case when facilityname like '%FRA%' and status in ('Current','Approved') then count(status) else 0 end) as FRA_approved_current
When they should actually be returning their own numbers, and do so when ran alone, is there a case statement behaviour i'm missing here?
In standard SQL, this should not return any results (other than an error):
sum(case when facilityname like '%AT%' then count(status) else 0 end) as AT_all_status
because aggregation functions cannot be nested. Oracle does allow nesting them, but I don't commend using that functionality -- a subquery is simple enough.
In any case, I'm pretty sure that you actually intend:
sum(case when facilityname like '%AT%' then 1 else 0 end) as AT_all_status
Another way to translate your query using only one aggregate function and don't nest it is the following:
count(case when facilityname like '%AT%' then status end)

Avoiding a divide by zero error in a case statement

I am getting a divide by zero error in my script.
Can anyone please help.
I am trying to divide two records and one of them has zero in it. I dont want to lose the row, please advise.
select DATEPART(Year,Request_date) as "Year",
DATEPART(Month,Request_date) as "Month",
COUNT([MONTH_OF_SUSPENSION]) as "Request" ,
sum(case when [PAYMENT_<=24HRS] = 'Y' then 1 else 0 end) as "Paid in 24hrs",
COUNT([MONTH_OF_SUSPENSION])/sum(case when [PAYMENT_<=24HRS] = 'Y' then 1 else 0 end) as "Achieved"
FROM suspension_br
where REQUEST_STATUS = 'OTHERS'
GROUP BY DATEPART(Year,Request_date),DATEPART(Month,Request_date)
You can introduce a second case to check the result of the sum:
case
when sum(case when [PAYMENT_<=24HRS] = 'Y' then 1 else 0 end) > 0
then COUNT([MONTH_OF_SUSPENSION])/sum(case when [PAYMENT_<=24HRS] = 'Y' then 1 else 0 end)
else 0 /* a default value that makes sense to you */
end as "Achieved"
Looking at your code I could assume you are using MSSQL and therefore you could use nullif which returns null if two arguments are equal. So for example your code could look like :
COUNT([MONTH_OF_SUSPENSION])/nullif(sum(case when [PAYMENT_<=24HRS] = 'Y' then 1 else 0 end),0) as "Achieved"
What it does is if the value of the sum operator is equal 0 then the divisor is turn from zero into null and that will result in the entire equation to become null.
use another case statement to check the result of your sum
select DATEPART(Year,Request_date) as "Year",
DATEPART(Month,Request_date) as "Month",
COUNT([MONTH_OF_SUSPENSION]) as "Request" ,
sum(case
when [PAYMENT_<=24HRS] = 'Y' then 1
else 0
end) as "Paid in 24hrs",
case
when sum(case
when [PAYMENT_<=24HRS] = 'Y' then 1
else 0
end) = 0 then 'whatever you want in this case'
else COUNT([MONTH_OF_SUSPENSION])/sum(case
when [PAYMENT_<=24HRS] = 'Y' then 1
else 0
end) as "Achieved"
FROM suspension_br
where REQUEST_STATUS = 'OTHERS'
GROUP BY DATEPART(Year,Request_date),DATEPART(Month,Request_date)
although this is pretty nasty looking, so you could tidy it up a bit with a sub-select:
select
year,
month,
request,
PaidIn24hrs,
case
when PaidIn24hrs = 0 then 'whatever you want in this case'
else request/PaidIn24hrs
end as "Achieved"
from
(
select DATEPART(Year,Request_date) as "Year",
DATEPART(Month,Request_date) as "Month",
COUNT([MONTH_OF_SUSPENSION]) as "Request" ,
sum(case
when [PAYMENT_<=24HRS] = 'Y' then 1
else 0
end) as "PaidIn24hrs"
FROM suspension_br
where REQUEST_STATUS = 'OTHERS'
GROUP BY DATEPART(Year,Request_date),DATEPART(Month,Request_date)
)

SQL Do not return column if value is zero

This query returns one row with columns Ready, Processing, Complete, Failed and Error with totals for each. Is there a way to rewrite this query so that columns that have a total of zero are not returned?
I'm using this to populate the mschart control and I don't wan't labels on the chart if there are 0 instances of that category.
SELECT
SUM(CASE WHEN Status = 'R' THEN 1 ELSE 0 END) AS Ready,
SUM(CASE WHEN Status = 'P' THEN 1 ELSE 0 END) AS Processing,
SUM(CASE WHEN Status = 'C' THEN 1 ELSE 0 END) AS Complete,
SUM(CASE WHEN Status = 'F' THEN 1 ELSE 0 END) AS Failed,
SUM(CASE WHEN Status = 'E' THEN 1 ELSE 0 END) AS Error
FROM MailDefinition
No, because the shape of the query (the fields it contains) has to be known. Only the data can change, and that is what you should be looking for. You can dynamically remove or hide labels based on 0 or null data in a column.
What I would do is take what you have, throw it into an unpivot, then remove all of the 0 records.
select
Type,
Sum
from
(
SELECT
SUM(CASE WHEN Status = 'R' THEN 1 ELSE 0 END) AS Ready,
SUM(CASE WHEN Status = 'P' THEN 1 ELSE 0 END) AS Processing,
SUM(CASE WHEN Status = 'C' THEN 1 ELSE 0 END) AS Complete,
SUM(CASE WHEN Status = 'F' THEN 1 ELSE 0 END) AS Failed,
SUM(CASE WHEN Status = 'E' THEN 1 ELSE 0 END) AS Error
FROM MailDefinition
) a
unpivot
(
Sum for Type in ([Ready],[Processing],[Complete],[Failed],[Error])
) u
where Sum>0
That does, of course, entail changing your chart some.

select sum statement

I created this select statement I will convert to a view. I need help with this. I need to be able to add the total of Minority that = Yes and No show total on report pages.
select
ps.BidPackage_ID,
ps.Project_ID,
SUM (case ps.Minority when 'Yes' then 1 else 0 end) MinorityTotal,
SUM (case ps.Gender when 'Female' then 1 else 0 end) FemaleTotal,
SUM(case ps.Cleveland_Resident when 1 then 1 else 0 end) ClevelandResidents,
ps.SubContractor
from
PersonnelSummary ps
group by
ps.BidPackage_ID,
ps.Project_ID,
ps.SubContractor
You nearly have it:
...
SUM (case ps.Minority when 'Yes' then 1 else 0 end) AS MinorityYes,
SUM (case ps.Minority when 'No' then 1 else 0 end) AS MinorityNo,
COUNT(*) AS Total,
...
With the Total I'm assuming that every row should be counted. This is what you want if:
The only values that exist in the column are 'Yes' and 'No' or
Values different from 'Yes' and 'No' should also be counted in the total.
You're forcing us to guess what you want. You have a count of the people who said that they were in a minority; do you want a count of the people who said No? Or do you want a count of the number who said 'either "Yes" or "No"' and excluding those who gave 'decline to say' or simply no answer at all?
select
ps.BidPackage_ID,
ps.Project_ID,
SUM (case ps.Minority when 'Yes' then 1 else 0 end) MinorityTotalYes,
SUM (case ps.Minority when 'No' then 1 else 0 end) MinorityTotalNo,
SUM (case ps.Minority when 'Yes' then 1 when 'No' then 1 else 0 end)
AS StatedMinorityTotal,
SUM (case ps.Gender when 'Female' then 1 else 0 end) FemaleTotal,
SUM(case ps.Cleveland_Resident when 1 then 1 else 0 end) ClevelandResidents,
ps.SubContractor
from
PersonnelSummary ps
group by
ps.BidPackage_ID,
ps.Project_ID,
ps.SubContractor