I would like to add a discount rate when summing Cashflows over a number of period. To do this I need to multiply each of the remaining cashflows by the discount rate, consummate with this period. I could do this, if I knew the row number of each period, but I can't use it with the window calc I am using. The example below shows the column 'Remaining Interest' which is what I am trying to calculate based on raw data of period and interest.
select Period,RemainingInterest = SUM(PeriodInterestPaid)
OVER (PARTITION BY Name ORDER BY period ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)
FROM CF A
Period Interest Remaining Interest(Query) Remaining Interest(Required)
1 1000 1000+2000 1000/1.02^1+2000/1.02^2
2 2000 2000 2000/1.02^1
hi i hope i understand Well ---
you need to get the sum of value based on the period that what i under stand from the query but u said that you need a multiply
So there's no need to make a window function just group by
select Period, SUM(PeriodInterestPaid) as RemainingInterest
FROM CF A
and if u want a multiplay you will make group by also but u will use anther exp :
Pls explan what exactly u need
Related
I made really simple example table with columns date and credit, so we can sum all credit to get account saldo of the account. I can sum all credit values to get saldo, but that is not what I want. I want to calculate average saldo, so in order to do that I need to use RangeDate table with date of every day and query with this logic:
SELECT DRA.date, SUM(ACB.credit)
FROM AccountBalance ACB
JOIN DateRange DRA ON ACB.date <= DRA.date
GROUP BY DRA.date
http://sqlfiddle.com/#!18/88afa/10
the problem is when using this program on a larger range of dates, like whole year for example.
Instruction is telling SQL Engine to sum up all rows of credit before the current date including credit of the current row date (where the cursor is in that moment (JOIN... ACB.date <= DRA.date)), in order to get accounts credit for that day.
This is inefficient and slow for big tables because that sum already exists in the row 1 level before, and I would like to tell SQL Engine to take that sum and only add the one row of credit that it is in.
Somone told me that I should use LAG function, but i need an example first.
I think you simply need an analyitc function -
SELECT DRA.date,
SUM(ACB.saldo) OVER (ORDER BY DRA.date)
FROM DateRange DRA
LEFT JOIN AccountBalance ACB ON ACB.date = DRA.date;
Demo.
I'm hoping you guys can help with this problem.
I have a set of data which I have displayed via excel.
I'm trying to work out the rolling new cap allowance but need to deduct from previous weeks bookings. I don't want to use a cursor so can anyone help.
I'm going to group by the product id so it will need to start afresh for every product.
In the image, Columns A to D are fixed and I am trying to calculate the data in column E ('New Cap'). The 'New Cap' is the expected results.
Column F gives a detailed formula of what im trying to do.
Not sure what I've done for the post to be marked down.
Thanks
Update:
The formula looks like this.
You want the sum of the cap through this row minus the sum of booked through the previous row. This is easy to do with window functions:
select t.*,
(sum(cap + booked) over (partition by productid order by weekbeg) - booked
) as new_cap
from t;
You can get the new running total using lag and sum over window functions - calculate the cap-booked first, then use sum over() for the running total:
select weekbeg, ProductId, Cap, Booked,
Sum(n) over(partition by productid order by weekbeg) New_Cap
from (
select *, cap - Lag(booked,1,0) over(partition by productid order by weekbeg)n
from t
)t
Need to calculated the Moving Range for a set of data without using group by clause. As I am calculating the average value and the previous avg value I need to take into account only existing values. I cant not use DIFFDATE(start-end).
Another constrains is that I need to do it at row-level as I need to have it as a pre-calculated value (denominator) to calculate the AVG Moving Range.
At the moment I am using window functions to calculate the average and previous averages.
ROUND(AVG(SUMCOUNTSFT3) OVER (partition by to_date(to_char(DATETIMEOFREADING, 'DD/MM/RR'))),2) as AVG_SUMCOUNTSFT3,
ROUND(AVG(SUMCOUNTSFT3) OVER (order by to_date(to_char(DATETIMEOFREADING, 'DD/MM/RR')) RANGE between interval '1' day preceding AND interval '1' day preceding),2) as LAG_VAL
Here is some sample data, as you can see I have multiple readings from a sensor. I have calculated the average for that day and for the previous day. Then I will have the difference between data points by |Xi - Xi-1|, the denominator is the column that I am trying to calculate. In some cases we will not have reading for a day if the sensor is failing and I need to discard those days if there is no data.
I believe a ROW_NUMBER() or DENSE_RANK() will do the job with a partition clause.
is it possible to SUM a number over a special time period in Amazon Redshift with a WINDOW-Function?
As an example I'm counting login numbers for different companies per day.
What I now want per row is, that it sums up the logins over the last 4 weeks (referenced by the date of the row): The field which I'm serarching for is marked yellow in the screenshot.
Thanks in advance for your help.
If you have data for each day, then you can use rows:
select t.*,
sum(logs) over (partition by company
order by date
rows between 27 preceding and current row
) as logins_4_weeks
from t;
Redshift does not yet support range for the window frame, so this is your best bet.
I am trying to write a report (DB2 9.5 on Solaris) to do the following:
I have a set of data, let's say it's an order table. I want to run a report which will give me, for each month, the number of orders per customer, and their "rank" that month. The rank would be based on the number of orders. I was playing around with the RANK() OVER clauses, but I can't seem to get it to give me a rank per month (or other "group by"). If there are 100 customers and 12 months of data, i would expect 1200 rows in the report, 100 per month, each with a rank between 1 and 100. Let me know if more detail would be helpful. Thanks in advance.
the solution is to use the PARTITION BY clause.
for example, see page 5 here: http://cmsaville.ca/documents/MiscDocs/TopNQueries.pdf