Total with select query - sql

Consider the following data:
Insurance_Comp | 1To30DaysAgeing | 31To60DaysAgeing | 61To90DaysAgeing | TotalVehicles
=============================================================================
ABC | 30 | 5 | 20 | 55
XYZ | 10 | 35 | 5 | 50
I am calculating the number of vehicles aged for particular group after a stock# is assigned to that vehicle. The number of vehicles for a group (ex. 1 to 30 Days Ageing) is calculated using a complex query. I have written SP to get this result. What I want is to calculate the total of vehicles while executing the same select query. For simplification I have created functions in SQL to get number of vehicles for each group.
Right now I m using the query like this ...
Select Ins_Comp, dbo.fn_1To30Ageing(...), dbo.fn_31To60Ageing(...), dbo.fn_61To90Ageing(...) from Table Where ....
I am calculating the total using RowDataBound event of GridView in ASP.NET with C#. Is there any way to calculate the total within query itself? By the way I don't want total as dbo.fn_1To30Ageing(...)+ dbo.fn_31To60Ageing(...) + dbo.fn_61To90Ageing, because that requires double processing time.

I'm not familir with ASP.NET, but if it is only SQL aspect, you can certainly use sub-query:
SELECT A,B,C,SUM(A+B+C) FROM (
Select Ins_Comp, dbo.fn_1To30Ageing(...) AS A, dbo.fn_31To60Ageing(...) AS B, dbo.fn_61To90Ageing(...) AS C from Table Where ....
) TEMP

Related

Dividing sum results

I'm really sorry as this was probably answered before, but I couldn't find something that solved the problem.
In this case, I'm trying to get the result of dividing two sums in the same column.
| Id | month | budget | sales |
| -- | ----- | ------ | ----- |
| 1 | jan | 1000 | 800 |
| 2 | jan | 1000 | 850 |
| 1 | feb | 1200 | 800 |
| 2 | feb | 1100 | 850 |
What i want is to get the % of completition for each id and month (example: get 0,8 or 80% in a fifth column for id 1 in jan)
I have something like
sel
id,
month,
sum (daily_budget) as budget,
sum (daily_sales) as sales,
budget/sales over (partition by 1,2) as efectivenes
from sales
group by 1,2
I know im doing this wrong but I'm kinda new with sql and cant find the way :|
Thanks!
This should do it
CAST(ROUND(SUM(daily_sales) * 100.00 / SUM(daily_budget), 1) AS DECIMAL(5,2)) AS Effectiveness
I'm new at SQL too but maybe I can help. Try this?
sel
id,
month,
sum (daily_budget) as budget,
sum (daily_sales) as sales,
(sum(daily_budget)/sum(daily_sales)) over (partition by id) as efectivenes
from sales
group by id
If you want to ALTER your table so that it contains a fifth column where the result of budget/sales is automatically calculated, all you need to do this add the formula to this auto-generated column. The example I am about to show is based on MySQL.
Open MySQL
Find the table you wish to modify in the Navigator Pane, right-click on it and select "Alter Table"
Add a new row to your table. Make sure you select NN (Not Null) and G (Generated Column) check boxes
In the Default/Expression column, simply enter the expression budget / sales.
Once you run your next query, you should see your column generated and populated with the calculated results. If you simply want the SQL statement to do the same from the console, it will be something like this: ALTER table YOUR_TABLE_NAME add result FLOAT as (budget / sales);

Oracle SQL Summary report

I'm a new junior developer using reporting as a tool to learn the database structure, we have a reporting tool called Cyberquery to produce these reports but i like to mirror what i do in that in SQL Developer so i can learn both.
Unfortunately i have hit a wall with this problem...
I am trying to produce a summary report of product sales over 24 months, broken down by each month like the table below.
| 2014/10 | 2014/11 | 2014/12 | Total
item no | description | qty | value | qty | value | qty | value | qty | value
a item a 4 20 1 5 2 10 7 35
b item b 1 10 2 20 3 30 6 60
Unfortunately i have not been able to format the query to display the results like this. The sql i have been using goes like this:
select * from(
select i.item_no, i.description, sl.line_value, sl.line_qty, sh.invoice_date
from sales_line sl
join sales_header sh on sh.invoice_no = sl.invoice_no
join item i on i.item_no = sl.item_no
where sh.invoice_date >= add_months((last_day(sysdate)+1),-24)
)
So i have tried a few different ways, originally i thought it would be a case of just using group by but after i couldn't get that to work i had a look at using the pivot function and couldn't get that to work either.
Is this possible in SQL?
Kind Regards,
Richard

SQL Query to return a distinct count of one column while allowing a full summation of a second column, grouped by a third

I'm writing a query in access 2010 and i can't use count(distinct... so I'm running into a bit of trouble with what can be found below:
An example of my table is as follows
Provider | Member ID | Dollars | Status
FacilityA | 1001 | 50 | Pended
FacilityA | 1001 | 100 | Paid
FacilityA | 1002 | 200 | Paid
FacilityB | 1005 | 30 | Pended
FacilityB | 1009 | 90 | Pended
FacilityC | 1001 | 100 | Paid
FacilityC | 1008 | 500 | Paid
I want to return the total # of unique members that have visited each facility, but I also want to get the total dollar amount that is Pended, so for this example the ideal output would be
Provider | # members | Total Pended charges
FacilityA | 2 | 50
FacilityB | 2 | 120
FacilityC | 2 | 0
I tried using some code I found here: Count Distinct in a Group By aggregate function in Access 2007 SQL
and here:
SQL: Count distinct values from one column based on multiple criteria in other columns
Copying the code from the first link provided by gzaxx:
SELECT cd.DiagCode, Count(cd.CustomerID)
FROM (select distinct DiagCode, CustomerID from CustomerTable) as cd
Group By cd.DiagCode;
I can make this work for counting the members:
SELECT cd.Provider_Number, Count(cd.Member_ID)
FROM (select distinct Provider_Number, Member_ID from Claims_Table) as cd
ON claims_table.Provider_Number=cd.Provider_Number
Group By cd.Provider_Number;
However, no matter what I try I can't get a second portion dealing with the dollars to work without causing an error or messing up the calculation on the member count.
SELECT cd.Provider_Number,
-- claims_table.Member_ID, claims_table.Dollars
SUM(IIF ( Claims_Table.Status = 'Pended' , Claims_Table.Dollars , 0 )) as Dollars_Pending,
Count(cd.Member_ID) as Uniq_Members,
Sum(Dollars) as Dollar_Wrong
FROM (select distinct Provider_Number, Member_ID from Claims_Table) as cd inner join #claims_table
ON claims_table.Provider_Number=cd.Provider_Number and claims_table.Member_ID = cd.Member_ID
Group By cd.Provider_Number;
This should work fine based only on the table you described (named Tabelle1):
SELECT Provider, count(MemberID) as [# Members],
NZ(SUM(SWITCH([Status]='Pended', Dollars)),0) as [Total pending charges]
FROM Tabelle1
GROUP BY Provider;
Explanation
I think the first and second column are self-explanatory.
The third column is where most things are done. The SWITCH([Status]='Pended', Dollars) returns the Dollars only if the status is pending. This then gets summed up by SUM. The NZ(..,0) will set the column to 0 if the SUM returns a NULL.
EDIT: This was tested on Access 2016

Google Big Query : Window Function Row Wise Cumulative Sum Across Columns

I am looking to calculate cumulative sum across columns in Google Big Query.
Assume there are five columns (NAME,A,B,C,D) with two rows of integers, for example:
NAME | A | B | C | D
----------------------
Bob | 1 | 2 | 3 | 4
Carl | 5 | 6 | 7 | 8
I am looking for a windowing function or UDF to calculate the cumulative sum across rows to generate this output:
NAME | A | B | C | D
-------------------------
Bob | 1 | 3 | 6 | 10
Carl | 5 | 11 | 18 | 27
Any thoughts or suggestions greatly appreciated!
I think, there are number of reasonable workarounds for your requirements mostly in the area of designing better your table. All really depends on how you input your data and most importantly how than you consume it
Still, if to stay with presented requirements - Below is not exactly what you expect in your question as an output, but might be usefull as an example:
SELECT name, GROUP_CONCAT(STRING(cum)) AS all FROM (
SELECT name,
SUM(INTEGER(num))
OVER(PARTITION BY name
ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS cum
FROM (
SELECT name, SPLIT(all) AS num FROM (
SELECT name,
CONCAT(STRING(a),',',STRING(b),',',STRING(c),',',STRING(d)) AS all
FROM yourtable
)
)
)
GROUP BY name
Output is:
name all
Bob 1,3,6,10
Carl 5,11,18,26
Depends on how you than consume this data - it still can work for you
Note, not you avoiding now writing something like col1 + col2 + .. + col89 + col90 - but still need to explicitelly mention each column just ones.
in case if you have "luxury" of implementing your requirements outside of GBQ UI, but rather in some Client- you can use BigQuery API to programatically aquire table schema and build on fly your logic/query and than execute it
Take a look at below APIs to start with:
To get table schema - https://cloud.google.com/bigquery/docs/reference/v2/tables/get
To issue query job - https://cloud.google.com/bigquery/docs/reference/v2/jobs/insert
There's no need for a UDF:
SELECT name, a, a+b, a+b+c, a+b+c+d
FROM tab

GROUP BY and SUMS in MS ACCESS

I'm trying to get a report of how many article have been sold, especially which one was sold more, both in terms of numbers and price.
I'm trying the above query, thinking that using the [PRICE]*[total] in the group by expression, it could worked. unluckily it does not. I've try also to put the alias in the group by expression, but nothing more, it only says that I need to use a grouping expression for the column: [PRICE]*[total] which is what I thought I have done.
SELECT TOP 20 ARTIC, Sum(TOTGIA) AS total, [PRICE]*[total] AS a
FROM Car
GROUP BY ARTIC, [PRICE]*[total]
ORDER BY Sum(TOTGIA) DESC;
anyone could lead me in the good direction?
the error is:
"You tried to execute a query that does not include the specified expression '[PRICE]*[total]' as part of an aggregate function."
the table is something like this:
|artic|totgia|price
+++++++++++++++++++
|aaa | 1 | 10
|aaa | 4 | 10
|bbb | 1 | 200
I would like to have:
|aaa| 5 | 50
|bbb| 1 | 200
so aaa is the first one for number of sells, but bbb is first for cash
The problem here is that you are trying to use the total alias in the select and in the group by. You do not have access to the alias at this time. Instead, you will either need to refer to the actual column values in place of total. In other cases, you can create a subselect and use the alias, but this does not apply to your query as it is written.
SELECT TOP 20 ARTIC, Sum(TOTGIA) AS total, PRICE*Sum(TOTGIA) AS a
FROM Car
GROUP BY ARTIC, PRICE
ORDER BY Sum(TOTGIA) DESC;
If you have an article listed with several different prices, this query will return several rows. So, this data:
|artic|totgia|price
+++++++++++++++++++
|aaa | 1 | 10
|aaa | 4 | 20
|bbb | 1 | 200
Would return these results:
|aaa| 1 | 10
|aaa| 4 | 80
|bbb| 1 | 200
This would happen because we have specifically told sql that we want the unique articles and prices as their own rows. However, this is probably a good thing because in the above scenario, you wouldn't want to return that aaa has a quantity of 5 with a value of 50, since the total value is 90. If this is a possible scenario for your data, you would make this query into a subselect and group all the data for the unique articles together.