I have a table in Teradata which contains Sales Information per store pertaining to each region.
StoreID RegionID Sales
1 A 200
2 A 150
3 A 210
4 B 400
5 B 420
How can I find out the stores in top 2 deciles by sales for each region?
There's the QUANTILE function, but this is old deprecated syntax. The top 2 decile are the top 20 percent and you can simply use PERCENT_RANK for this:
QUALIFY
PERCENT_RANK()
OVER (PARTITION BY RegionID
ORDER BY Sales DESC) <= 0.2
Related
Consider the following data set that records the product sold, year, and revenue from that particular product in thousands of dollars. This data table (YEARLY_PRODUCT_REVENUE) is stored in SQL and has many more rows.
Year | Product | Revenue
2000 Table 100
2000 Chair 200
2000 Bed 150
2010 Table 120
2010 Chair 190
2010 Bed 390
Using SQL, for every year I would like to find the product that has the maximum revenue.
That is, I would like my output to be the following:
Year | Product | Revenue
2000 Chair 200
2010 Bed 390
My attempt so far has been this:
SELECT year, product, MIN(revenue)
FROM YEARLY_PRODUCT_REVENUE
GROUP BY article, month;
But when I do this, I get multiple-year values for distinct products. For instance, I'm getting the output below which is an error. I'm not entirely sure what the error here is. Any help would be much appreciated!
Year | Product | Revenue
2000 Table 100
2000 Bed 150
2010 Table 120
2010 Chair 190
You don't mention the database so I'll assume it's PostgreSQL. You can do:
select distinct on (year) * from t order by year, revenue desc
You want filtering rather than aggregation. We can use window functions (which most databases support) to rank yearly product sales, and then retain only the top selling product per year.
select *
from (
select r.*, rank() over(partition by year order by revenue desc) rn
from yearly_product_revenue r
) r
where rn = 1;
Here is a shorter solution if your database support the standard WITH TIES clause:
select *
from yearly_product_revenue r
order by rank() over(partition by year order by revenue desc)
fetch first row with ties
I have been searching the forum and found a single post that is a little smilair to my problem here: Calculate average for Top n combined with SQL Group By.
My situation is:
I have a table tblWEIGHT that contains: ID, Date, idPONR, Weight
I have a second table tblSALES that contains: ID, Date, Sales, idPONR
I have a third table tblPONR that contains: ID, PONR, idProduct
And a fouth table tblPRODUCT that contais: ID, Product
The linking:
tblWEIGHT.idPONR = tblPONR.ID
tblSALES.idPONR = tblPONR.ID
tblPONR.idProduct = tblPRODUCT.ID
The maintable of my query is tblSALES. I want to all my sales listed, with the moving average of the top5
weights of the PRODUCT where the date of the weight is less than the sales date, and the product is the same as the sold product. Its IMPORTANT that the result isn't grouped by the date. I need all the records of tblSALES.
i have gotten as far as to get the top 1 weight, but im not able to get the moving average instread.
The query that gest the top 1 is the following, and i am guessing that the query i need is going to look a lot like it.
SELECT tblSALES.ID, tblSALES.Dato, tblPONR.idPRODUCT,
(
SELECT top 1 Weight FROM tblWEIGHT INNER JOIN tblPONR ON tblWeight.idPONR = tblPONR.ID
WHERE tblPONR.idPRODUCT = idPRODUCT AND
SALES.Date > tblWEIGHT.Date
ORDER BY tblWEIGHT.Date desc
) AS LatestWeight
FROM tblSALES INNER JOIN VtblPONR ON tblSALES.idPONR = tblPONR.ID
this is not my exact query since im danish and i wouldnt make sense. I know im not supposed to use Date as a fieldname.
i imagine the filan query would be something like:
SELECT tblSALES.ID..... avg(SELECT TOP 5 weight .........)
but doing this i keep getting error at max 1 record can be returned by this subquery
Final Question.
How do i make a query that creates a moving average of the top 5 weights of my sold product, where the date of the weight is earlier than the date i sold the product?
EDIT Sampledata:
DATEFORMAT: dd/mm/yyyy
tblWEIGHT
ID Date idPONR Weight
1 01-01-2020 1 100
2 02-01-2020 2 200
3 03-01-2020 3 200
4 04-01-2020 3 400
5 05-01-2020 2 250
6 06-01-2020 1 150
7 07-01-2020 2 200
tblSALES
ID Date Sales(amt) idPONR
1 05-01-2020 30 1
2 06-01-2020 15 2
3 10-01-2020 20 3
tblPONR
ID PONR(production Number) idProduct
1 2521 1
2 1548 1
3 5484 2
tblPRODUCT
ID Product
1 Bricks
2 Tiles
Desired outcome read comments for AvgWeight
tblSALES.ID tblSALES.Date tblSales.Sales(amt) AvgWeigt
1 05-01-2020 30 123 -->avg(top 5 newest weight of both idPONR 1 And 2 because they are the same product, and where tblWeight.Date<05-01-2020)
2 06-01-2020 15 123 -->avg(top 5 newest weight of both idPONR 1 And 2 because they are the same product, and where tblWeight.Date<06-01-2020)
3 10-01-2020 20 123 -->avg(top 5 newest weight of idPONR 3 since thats the only idPONR with that product, and where tblWeight.Date<10-01-2020)
Consider:
Query1
SELECT tblWeight.ID AS WeightID, tblWeight.Date AS WtDate,
tblWeight.idPONR, tblPONR.PONR, tblPONR.idProduct, tblWeight.Weight, tblSales.SalesAmt,
tblSales.ID AS SalesID, tblSales.Date AS SalesDate
FROM (tblPONR INNER JOIN tblWeight ON tblPONR.ID = tblWeight.idPONR)
INNER JOIN tblSales ON tblPONR.ID = tblSales.idPONR;
Query2
SELECT * FROM Query1 WHERE WeightID IN (
SELECT TOP 5 WeightID FROM Query1 AS Dupe WHERE Dupe.idProduct = Query1.idProduct
AND Dupe.WtDate<Query1.SalesDate ORDER BY Dupe.WtDate);
Query3
SELECT Query2.SalesID, Query2.SalesDate, Query2.SalesAmt,
First(DAvg("Weight","Query2","idProduct=" & [idProduct] & " AND WtDate<#" & [SalesDate] & "#")) AS AvgWt
FROM Query2
GROUP BY Query2.SalesID, Query2.SalesDate, Query2.SalesAmt;
I have a requirement to calculate rolling compound interest on several accounts in pl/sql. I was looking for help/advice on how to script calculate these calculations. The calculations I need are in the last two columns of the output below (INTERESTAMOUNT AND RUNNING TOTAL). I found similar examples of this on here, but nothing specifically fitting these requirements in pl/sql. I am also new to CTE/Recursive Techniques and the Model technique I found required a specific iteration which would be variable in this case. Please see my problem below:
Calculations:
INTERESTAMOUNT = (Previous Year RUNNING TOTAL+ Current Year AMOUNT) * INTEREST_RATE
RUNNINGTOTAL = (Previous Year RUNNING TOTAL+ Current Year AMOUNT) * (1 + INTEREST_RATE) - CURRENT YEAR EXPENSES
Input Table:
YEAR ACCT_ID AMOUNT INTEREST_RATE EXPENSES
2002 1 1000 0.05315 70
2003 1 1500 0.04213 80
2004 1 800 0.03215 75
2005 1 950 0.02563 78
2000 2 750 0.07532 79
2001 2 600 0.06251 75
2002 2 300 0.05315 70
Desired Output:
YEAR ACCT_ID AMOUNT INTEREST_RATE EXPENSES INTERESTAMOUNT RUNNINGTOTAL
2002 1 1000 0.05315 70 53.15 983.15
2003 1 1500 0.04213 80 104.62 2507.77
2004 1 800 0.03215 75 106.34 3339.11
2005 1 950 0.02563 78 109.93 4321.04
2000 2 750 0.07532 79 56.49 727.49
2001 2 600 0.06251 75 82.98 1335.47
2002 2 300 0.05315 70 86.93 1652.4
One way to do it is with a recursive cte.
with rownums as (select t.*
,row_number() over(partition by acct_id order by yr) as rn
from t) -- t is your tablename
,cte(rn,yr,acct_id,amount,interest_rate,expenses,running_total,interest_amount) as
(select rn,yr,acct_id,amount,interest_rate,expenses
,(amount*(1+interest_rate))-expenses
,amount*interest_rate
from rownums
where rn=1
union all
select t.rn,t.yr,t.acct_id,t.amount,t.interest_rate,t.expenses
,((c.running_total+t.amount)*(1+t.interest_rate))-t.expenses
,(c.running_total+t.amount)*t.interest_rate
from cte c
join rownums t on t.acct_id=c.acct_id and t.rn=c.rn+1
)
select * from cte
Sample Demo
Generate row numbers using row_number function
Calculate the interest and running total of the first row for each acct_id (anchor in the recursive cte).
Join every row to the next one (ordered by ascending order of year column) for each account_id and compute the running total and interest for the subsequent rows.
I have query to get firms by theirs sales last year.
select
Name,
Sale
from Sales
order by
Sale DESC
and I get
Firm 2 | 200 000
Firm 1 | 190 000
Firm 3 | 100 000
And I would like to get index of row in result. For Firm 2 I would like to get 0 (or 1), for Firm 3 1 (or 2) and etc. Is this possible? Or at least create some sort of autoincrement column. I can use even stored procedure if it is needed.
Firebird 3.0 supports row_number() which is the better way to do this.
However for Firebird 2.5, you can get what you want with a correlated subquery:
select s.Name, s.Sale,
(select count(*) from Sales s2 where s2.sale >= s.sale) as seqnum
from Sales s
order by s.Sale DESC;
I have a table, sales, which is ordered by descending TotalSales
user_id | TotalSales
----------------------
4 10
2 1.5
5 0.99
3 0.5
1 0.33
What I would like to do is find the percentage of the sum of all sales that the xx% most important sales represent.
For example if I wanted to do it for top 40% sales, here I would get (10+1.5)/(10+1.5+0.99+0.5+0.33)= 86%
But right now I haven't been able to select "top xx% rows".
Edit: DB management system can be MySQL or Vertica or Hive
select Sum(a) as s from sales where a in (Select TotalSales from sales where TotalSales>=x)
GROUP BY a
select Sum(TotalSales) as b from sales group by b
your result is s/b
and x= the percentage you set each time