I need to build a query with 4 columns (sql 2005).
Column1: Product
Column2: Units sold
Column3: Growth from previous month (in %)
Column4: Growth from same month last year (in %)
In my table the year and months have custom integer values. For example, the most current month is 146 - but also the table has a year (eg 2011) column and month (eg 7) column.
Is it possible to get this done in one query or do i need to start employing temp tables etc??
Appreciate any help.
thanks,
KS
KS,
To do this on the fly, you could use subqueries.
SELECT product, this_month.units_sold,
(this_month.sales-last_month.sales)*100/last_month.sales,
(this_month.sales-last_year.sales)*100/last_year.sales
FROM (SELECT product, SUM(units_sold) AS units_sold, SUM(sales) AS sales
FROM product WHERE month = 146 GROUP BY product) AS this_month,
(SELECT product, SUM(units_sold) AS units_sold, SUM(sales) AS sales
FROM product WHERE month = 145 GROUP BY product) AS last_month,
(SELECT product, SUM(units_sold) AS units_sold, SUM(sales) AS sales
FROM product WHERE month = 134 GROUP BY product) AS this_year
WHERE this_month.product = last_month.product
AND this_month.product = last_year.product
If there's a case where a product was sold in one month but not another month, you will have to do a left join and check for null values, especially if last_month.sales or last_year.sales is 0.
I hope I got them all:
SELECT
Current_Month.product_name, units_sold_current_month,
units_sold_last_month * 100 / units_sold_current_month prc_last_month,
units_sold_last_year * 100 / units_sold_current_month prc_last_year
FROM
(SELECT product_id, product_name, sum(units_sold) units_sold_current_month FROM MyTable WHERE YEAR = 2011 AND MONTH = 7) Current_Month
JOIN
(SELECT product_id, product_name, sum(units_sold) units_sold_last_month FROM MyTable WHERE YEAR = 2011 AND MONTH = 6) Last_Month
ON Current_Month.product_id = Last_Month.product_id
JOIN
(SELECT product_id, product_name, sum(units_sold) units_sold_last_year FROM MyTable WHERE YEAR = 2010 AND MONTH = 7) Last_Year
ON Current_Month.product_id = Last_Year.product_id
I am slightly guessing as the structure of the table provided is the result table, right? You will need to do self-join on month-to-previous-month basis:
SELECT <growth computation here>
FROM SALES s1 LEFT JOIN SALES s2 ON (s1.month = s2.month-1) -- last month join
LEFT JOIN SALES s3 ON (s1.month = s3.month - 12) -- lat year join
where <growth computation here> looks like
((s1.sales - s2.sales)/s2.sales * 100),
((s1.sales - s3.sales)/s3.sales * 100)
I use LEFT JOIN for months that have no previous months. Change your join conditions based on actual relations in month/year columns.
Related
There are 2 tables - Products and Sales
Products
prod_id
prod_nm
Sales
prod_id
cust_id
sls_dt
sls_amt
Write a query selecting ALL the products. For each product show total of sales amounts in the past 30 days or 0 if not sold in 30 day withoug using subqueries.
Since different RDBMS have different date functions, you can filter by date using the following pseudo code - sls_dt > now() - 30.
Im new to sql and im trying it like this as i found this online.
Select prod_id, prod_nm from(
Select sls_amt
From Sales) as t
Where t.rank = 1
However, this isnt' working. Any help is appreciated
Try below:
select p.prod_id,
p.prod_nm,
sum(s.sls_amt)
from products p
left outer join Sales s on p.prod_id = s.prod_id
and s.sls_dt > now() - 30
group by p.prod_id,
p.prod_nm;
How do I calculate the percentage difference from 2 different columns, calculated in that same query? Is it even possible?
This is what I have right now:
SELECT
Year(OrderDate) AS [Year],
Count(OrderID) AS TotalOrders,
Sum(Invoice.TotalPrice) AS TotalRevenue
FROM
Invoice
INNER JOIN Order
ON Invoice.InvoiceID = Order.InvoiceID
GROUP BY Year(OrderDate);
Which produces this table
Now I'd like to add one more column with the YoY growth, so even when 2016 comes around, the growth should be there..
EDIT:
I should clarify that I'd like to have for example next to
2015,5,246.28 -> 346,15942029% ((R2015-R2014) / 2014 * 100)
If you save your existing query as qryBase, you can use it as the data source for another query to get what you want:
SELECT
q1.Year,
q1.TotalOrders,
q1.TotalRevenue,
IIf
(
q0.TotalRevenue Is Null,
Null,
((q1.TotalRevenue - q0.TotalRevenue) / q0.TotalRevenue) * 100
) AS YoY_growth
FROM
qryBase AS q1
LEFT JOIN qryBase AS q0
ON q1.Year = (q0.Year + 1);
Access may complain it "can't represent the join expression q1.Year = (q0.Year + 1) in Design View", but you can still edit the query in SQL View and it will work.
What you are looking for is something like this?
Year Revenue Growth
2014 55
2015 246 4.47
2016 350 1.42
You could wrap the original query a twice to get the number from both years.
select orders.year, orders.orders, orders.revenue,
(select (orders.revenue/subOrders.revenue)
from
(
--originalQuery or table link
) subOrders
where subOrders.year = (orders.year-1)
) as lastYear
from
(
--originalQuery or table link
) orders
here's a cheap union'd table example.
select orders.year, orders.orders, orders.revenue,
(select (orders.revenue/subOrders.revenue)
from
(
select 2014 as year, 2 as orders, 55.20 as revenue
union select 2015 as year, 2 as orders, 246.28 as revenue
union select 2016 as year, 7 as orders, 350.47 as revenue
) subOrders
where subOrders.year = (orders.year-1)
) as lastYear
from
(
select 2014 as year, 2 as orders, 55.20 as revenue
union select 2015 as year, 2 as orders, 246.28 as revenue
union select 2016 as year, 7 as orders, 350.47 as revenue
) orders
I have a database table with three columns.
WeekNumber, ProductName, SalesCount
Sample data is shown in below table. I want top 10 gainers(by %) for week 26 over previous week i.e. week 25. The only condition is that the product should have sales count greater than 0 in both the weeks.
In the sample data B,C,D are the common products and C has the highest % gain.
Similarly, I will need top 10 losers also.
What I have tried till now is to make a inner join and get common products between two weeks. However, I am not able to get the top gainers logic.
The output should be like
Product PercentGain
C 400%
D 12.5%
B 10%
This will give you a generic answer, not just for any particular week:
select top 10 product , gain [gain%]
from
(
SELECT product, ((curr.salescount-prev.salescount)/prev.salescount)*100 gain
from
(select weeknumber, product, salescount from tbl) prev
JOIN
(select weeknumber, product, salescount from tbl) curr
on prev.weeknumber = curr.weeknumber - 1
AND prev.product = curr.product
where prev.salescount > 0 and curr.salescount > 0
)A
order by gain desc
If you are interested in weeks 25 and 26, then just add the condition below in the WHERE clause:
and prev.weeknumber = 25
If you are using SQL-Server 2012 (or newer), you could use the lag function to match "this" weeks sales with the previous week's. From there on, it's just some math:
SELECT TOP 10 product, sales/prev_sales - 1 AS gain
FROM (SELECT product,
sales,
LAG(sales) OVER (PARTITION BY product
ORDER BY weeknumber) AS prev_sales
FROM mytable) t
WHERE weeknumber = 26 AND
sales > 0 AND
prev_sales > 0 AND
sales > prev_sales
ORDER BY sales/prev_sales
this is the Query .
select top 10 product , gain [gain%]
from
(
SELECT curr.Product, ( (curr.Sales - prev.Sales ) *100)/prev.Sales gain
from
(select weeknumber, product, sales from ProductInfo where weeknumber = 25 ) prev
JOIN
(select weeknumber, product, sales from ProductInfo where weeknumber = 26 ) curr
on prev.product = curr.product
where prev.Sales > 0 and curr.Sales > 0
)A
order by gain desc
I have 2 tables STOCK and ITEMS,
I am trying to get a report showing how total items purchased (ITEMS table- items.quanto), total sales for items(ITEMS table- I assume (items.quanto*items.it_unlist) with description(STOCK table- stock.desc1) by month (ITEMS table-items.odr_date) with classification (which is a field in the STOCK table- stock.assoc).
The owner wants this info for each month for 2011, 2012, and YTD 2013
so total qty sold for item with total sales of that item by month 2011, 2012, 2013 YTD
This is my query
select items.item, items.quanto, SUM(items.QUANTO*items.it_unlist) as [total cost], stock.desc1, items.it_sdate from items
inner join
stock
on
stock.number = items.item
where IT_SDATE between '2011-01-01 00:00:00.0' and '2011-12-31 00:00:00.0'
group by items.item, items.quanto, stock.desc1, items.it_sdate
order by IT_SDATE
I was hoping to get each item totaled sales and qty by month but this is what I figured out on my own…lol
any help is appreciated.
select
item,
right(convert(varchar(8), it_sdate, 3), 5) theMonth,
sum(quanto) totalQuantity,
sum(quanto * it_unlist) totalSales,
max(stock.desc1) descr,
max(stock.assoc) assoc
from
items inner join stock on
items.item = stock.number
where
it_sdate > '2011-01-01'
group by
item,
right(convert(varchar(8), it_sdate, 3), 5)
order by
item,
theMonth
http://sqlfiddle.com/#!3/246d3/18/0
if the item column of the items table is primary key, then you can’t display the each and every item number when you are trying to display the total sales and qty.
And also, the IT_DATE column consists of only one date per month in the table, then only the below query is possible, if not we need to write other query.
if not, you can select.
select i.quanto, sum(QUANTO * it_unlist) as [total list],
s.desc1, i.it_sdate from items i inner join stock s on (s.number = i.item)
where IT_SDATE > 2011-01-01
group by i.it_sdate order by IT_SDATE;
I need a SQL query that will identify seasonal sales items.
My table has the following structure -
ProdId WeekEnd Sales
234 23/04/09 543.23
234 30/04/09 12.43
432 23/04/09 0.00
etc
I need a SQL query that will return all ProdId's that have 26 weeks consecutive 0 sales. I am running SQL server 2005. Many thanks!
Update: A colleague has suggested a solution using rank() - I'm looking at it now...
Here's my version:
DECLARE #NumWeeks int
SET #NumWeeks = 26
SELECT s1.ProdID, s1.WeekEnd, COUNT(*) AS ZeroCount
FROM Sales s1
INNER JOIN Sales s2
ON s2.ProdID = s1.ProdID
AND s2.WeekEnd >= s1.WeekEnd
AND s2.WeekEnd <= DATEADD(WEEK, #NumWeeks + 1, s1.WeekEnd)
WHERE s1.Sales > 0
GROUP BY s1.ProdID, s1.WeekEnd
HAVING COUNT(*) >= #NumWeeks
Now, this is making a critical assumption, namely that there are no duplicate entries (only 1 per product per week) and that new data is actually entered every week. With these assumptions taken into account, if we look at the 27 weeks after a non-zero sales week and find that there were 26 total weeks with zero sales, then we can deduce logically that they had to be 26 consecutive weeks.
Note that this will ignore products that had zero sales from the start; there has to be a non-zero week to anchor it. If you want to include products that had no sales since the beginning, then add the following line after `WHERE s1.Sales > 0':
OR s1.WeekEnd = (SELECT MIN(WeekEnd) FROM Sales WHERE ProdID = s1.ProdID)
This will slow the query down a lot but guarantees that the first week of "recorded" sales will always be taken into account.
SELECT DISTINCT
s1.ProdId
FROM (
SELECT
ProdId,
ROW_NUMBER() OVER (PARTITION BY ProdId ORDER BY WeekEnd) AS rownum,
WeekEnd
FROM Sales
WHERE Sales <> 0
) s1
INNER JOIN (
SELECT
ProdId,
ROW_NUMBER() OVER (PARTITION BY ProdId ORDER BY WeekEnd) AS rownum,
WeekEnd
FROM Sales
WHERE Sales <> 0
) s2
ON s1.ProdId = s2.ProdId
AND s1.rownum + 1 = s2.rownum
AND DateAdd(WEEK, 26, s1.WeekEnd) = s2.WeekEnd;