The data in my table looks like this:
date, app, country, sales
2017-01-01,XYZ,US,10000
2017-01-01,XYZ,GB,2000
2017-01-02,XYZ,US,30000
2017-01-02,XYZ,GB,1000
I need to find, for each app on a daily basis, the ratio of US sales to GB sales, so ideally the result would look like this:
date, app, ratio
2017-01-01,XYZ,10000/2000 = 5
2017-01-02,XYZ,30000/1000 = 30
I'm currently dumping everything into a csv and doing my calculations offline in Python but I wanted to move everything onto the SQL side. One option would be to aggregate each country into a subquery, join and then divide, such as
select d1_us.date, d1_us.app, d1_us.sales / d1_gb.sales from
(select date, app, sales from table where date between '2017-01-01' and '2017-01-10' and country = 'US') as d1_us
join
(select date, app, sales from table where date between '2017-01-01' and '2017-01-10' and country = 'GB') as d1_gb
on d1_us.app = d1_gb.app and d1_us.date = d1_gb.date
Is there a less messy way to go about doing this?
You can use the ratio of SUM(CASE WHEN) and GROUP BY in your query to do this without requiring a subquery.
SELECT DATE,
APP,
SUM(CASE WHEN COUNTRY = 'US' THEN SALES ELSE 0 END) /
SUM(CASE WHEN COUNTRY = 'GB' THEN SALES END) AS RATIO
FROM TABLE1
GROUP BY DATE, APP;
Based on the likelihood of the GB sales being zero, you can tweak the GB's ELSE condition, maybe ELSE 1, to avoid Divide by zero error. It really depends on how you want to handle exceptions.
You can use one query with grouping and provide the condition once:
SELECT date, app,
SUM(CASE WHEN country = 'US' THEN SALES ELSE 0 END) /
SUM(CASE WHEN country = 'GB' THEN SALES END) AS ratio
WHERE date between '2017-01-01' AND '2017-01-10'
FROM your_table
GROUP BY date, app;
However, this gives you zero if there are no records for US and NULL if there are no records for GB. If you need to return different values for those cases, you can use another CASE WHEN surrounding the division. For example, to return -1 and -2 respectively, you can use:
SELECT date, app,
CASE WHEN COUNT(CASE WHEN country = 'US' THEN 1 ELSE 0 END) = 0 THEN -1
WHEN COUNT(CASE WHEN country = 'GB' THEN 1 ELSE 0 END) = 0 THEN -2
ELSE SUM(CASE WHEN country = 'US' THEN SALES ELSE 0 END) /
SUM(CASE WHEN country = 'GB' THEN SALES END)
END AS ratio
WHERE date between '2017-01-01' AND '2017-01-10'
FROM your_table
GROUP BY date, app;
DROP TABLE IF EXISTS t;
CREATE TABLE t (
date DATE,
app VARCHAR(5),
country VARCHAR(5),
sales DECIMAL(10,2)
);
INSERT INTO t VALUES
('2017-01-01','XYZ','US',10000),
('2017-01-01','XYZ','GB',2000),
('2017-01-02','XYZ','US',30000),
('2017-01-02','XYZ','GB',1000);
WITH q AS (
SELECT
date,
app,
country,
SUM(sales) AS sales
FROM t
GROUP BY date, app, country
) SELECT
q1.date,
q1.app,
q1.country || ' vs ' || NVL(q2.country,'-') AS ratio_between,
CASE WHEN q2.sales IS NULL OR q2.sales = 0 THEN 0 ELSE ROUND(q1.sales / q2.sales, 2) END AS ratio
FROM q AS q1
LEFT JOIN q AS q2 ON q2.date = q1.date AND
q2.app = q1.app AND
q2.country != q1.country
-- WHERE q1.country = 'US'
ORDER BY q1.date;
Results for any country vs any country (WHERE q1.country='US' is commented out)
date,app,ratio_between,ratio
2017-01-01,XYZ,GB vs US,0.20
2017-01-01,XYZ,US vs GB,5.00
2017-01-02,XYZ,GB vs US,0.03
2017-01-02,XYZ,US vs GB,30.00
Results for US vs any other country (WHERE q1.country='US' uncommented)
date,app,ratio_between,ratio
2017-01-01,XYZ,US vs GB,5.00
2017-01-02,XYZ,US vs GB,30.00
The trick is in JOIN clause.
Results of a subquery q which aggregates data by date, app and country are joined with results themselves but on date and app.
This way, for every date, app and country we get a "match" with any another country on same date and app. By adding q1.country != q2.country, we exclude results for same country, highlighted below with *
date,app,country,sales,date,app,country,sales
*2017-01-01,XYZ,GB,2000.00,2017-01-01,XYZ,GB,2000.00*
2017-01-01,XYZ,GB,2000.00,2017-01-01,XYZ,US,10000.00
2017-01-01,XYZ,US,10000.00,2017-01-01,XYZ,GB,2000.00
*2017-01-01,XYZ,US,10000.00,2017-01-01,XYZ,US,10000.00*
2017-01-02,XYZ,GB,1000.00,2017-01-02,XYZ,US,30000.00
*2017-01-02,XYZ,GB,1000.00,2017-01-02,XYZ,GB,1000.00*
*2017-01-02,XYZ,US,30000.00,2017-01-02,XYZ,US,30000.00*
2017-01-02,XYZ,US,30000.00,2017-01-02,XYZ,GB,1000.00
Related
I have list of line items from invoices with a field that indicates if a line was delivered or picked up. I need to find a percentage of delivered items from the total number of lines.
SALES_NBR | Total | Deliveryrate
1 = Delivered 0 = picked up from FULFILLMENT.
SELECT SALES_NBR,
COUNT (ITEMS) as Total,
SUM (case when FULFILLMENT = '1' then 1 else 0 end) as delivered,
(SELECT delivered/total) as Deliveryrate
FROM Invoice_table
WHERE STORE IN '0123'
And SALE_DATE >='2020-02-01'
And SALE_DATE <='2020-02-07'
Group By SALES_NBR, Deliveryrate;
My query executes but never finishes for some reason. Is there any easier way to do this? Fulfillment field does not contain any NULL values.
Any help would be appreciated.
I need to find a percentage of delivered items from the total number of lines.
The simplest method is to use avg():
select SALES_NBR,
avg(fulfillment) as delivered_ratio
from Invoice_table
where STORE = '0123' and
SALE_DATE >='2020-02-01' and
SALE_DATE <='2020-02-07'
group by SALES_NBR;
I'm not sure if the group by sales_nbr is needed.
If you want to get a "nice" query, you can use subqueries like this:
select
qry.*,
qry.delivered/qry.total as Deliveryrate
from (
select
SALES_NBR,
count(ITEMS) as Total,
sum(case when FULFILLMENT = '1' then 1 else 0 end) as delivered
from Invoice_table
where STORE IN '0123'
and SALE_DATE >='2020-02-01'
and SALE_DATE <='2020-02-07'
group by SALES_NBR
) qry;
But I think this one, even being ugglier, could perform faster:
select
SALES_NBR,
count(ITEMS) as Total,
sum(case when FULFILLMENT = '1' then 1 else 0 end) as delivered,
sum(case when FULFILLMENT = '1' then 1 else 0 end)/count(ITEMS) as Deliveryrate
from Invoice_table
where STORE IN '0123'
and SALE_DATE >='2020-02-01'
and SALE_DATE <='2020-02-07'
group by SALES_NBR
i have table named source table with data like this :
And i want to do query that subtract row with status plus and minus to be like this group by product name :
How to do that in SQL query? thanks!
Group by the product and then use a conditional SUM()
select product,
sum(case when status = 'plus' then total else 0 end) -
sum(case when status = 'minus' then total else 0 end) as total,
sum(case when status = 'plus' then amount else 0 end) -
sum(case when status = 'minus' then amount else 0 end) as amount
from your_table
group by product
There is another method using join, which works for the particular data you have provided (which has one "plus" and one "minus" row per product):
select tplus.product, (tplus.total - tminus.total) as total,
(tplus.amount - tminus.amount) as amount
from t tplus join
t tminus
on tplus.product = tminus.product and
tplus.status = 'plus' and
tplus.status = 'minus';
Both this and the aggregation query work well for the data you have provided. In other words, there are multiple ways to solve this problem (each has its strengths).
you can query as below:
select product , sum (case when [status] = 'minus' then -Total else Total end) as Total
, sum (case when [status] = 'minus' then -Amount else Amount end) as SumAmount
from yourproduct
group by product
So I have written the following query:
SELECT
Store,
Revenue
FROM [mydb].[dbo].[orders] as orders
WHERE
order_date BETWEEN '2015-10-26' AND '2015-11-22'
AND
type_desc = 'north'
AND store_number
NOT IN(
SELECT DISTINCT store_number
FROM [mydb].[dbo].[orders]
WHERE
order_date BETWEEN '2015-10-26' AND '2015-11-22'
AND
type_desc = 'south')
GROUP BY
Store,
Revenue
The aim of this query is to find revenue where the store appears in the north but not in the south. The query below works perfectly but what I would like to know is how I can make a more succinct version of this query so that I can integrate other things into it. I suppose I almost want to join other columns onto it which calculate things. So I would have multiple columns within my end result such as last year revenue for all store, this year revenue all stores, revenue for north and south ETC...
You can use conditional aggregation to categorize the stores by north and south revenue:
SELECT store,
SUM(CASE WHEN type_desc = 'north' THEN Revenue ELSE 0 END) as north_revenue,
SUM(CASE WHEN type_desc = 'south' THEN Revenue ELSE 0 END) as south_revenue
FROM [mydb].[dbo].[orders] o
WHERE o.order_date BETWEEN '2015-10-26' AND '2015-11-22'
GROUP BY store;
This would appear to be the base information that you want.
If you only want stores with north revenue and no south revenue, you can add:
HAVING SUM(CASE WHEN type_desc = 'south' THEN Revenue ELSE 0 END) = 0
(Note: If Revenue can be negative, then you might want to just count the values using THEN 1 rather than THEN Revenue.)
I have a table that has customers listed every month with and active_indicator. For each customer, I want to pull the active indicator for just two months (Dec 2014 and Dec 2015), but when I write the below code, I get a table where each customer is listed twice. I know I can do another step to roll up the table to the customer level using max, but is there anyway to do this in one simple SQL query?
select distinct
customer
,case when date='2015-12-01' then active_indicator else 0 end as Dec2015_active_ind
,case when date='2014-12-01' then active_indicator else 0 end as Dec2014_active_ind
from monthly_account_cust
where date in ('2015-12-01', '2014-12-01')
order by customer
Pretty sure you are looking for something like this.
select
customer
, max(case when date = '2015-12-01' then active_indicator else 0 end) as Dec2015_active_ind
, max(case when date = '2014-12-01' then active_indicator else 0 end) as Dec2014_active_ind
from monthly_account_cust
where date in ('2015-12-01','2014-12-01')
group by customer
order by customer
I've got to design a query in visual studio where I have 2 data sets.
basically it goes like this.
I want to compare this weeks call total to last week per country calling.
the only thing is last weeks calls may have come from 20 diff countries while this weeks might only have come from 15.
How can I make the query such that the 20 countries will show up for both while having "0" value in for countries that do not appear this week.
below is my query:
Select country,
Sum(Case When actstatus in (5,105) Then 1 Else 0 End) As TotalCalls,
Sum(Case When actstatus = 105 Then 1 Else 0 End) As FailedCalls
From termactivity(nolock)
INNER JOIN termconfig(NOLOCK) ON cfgterminalID = actterminalID
INNER JOIN Country (nolock) on country = cycode
Where actstatus in (5,105)
and (actTerminalDateTime BETWEEN #StartDate-7 AND #EndDate-7)
Group By country
order By country asc
When Act status = 105 it means the call was not completed and when it = 5 it means the call was successful. I am doing this to get a successful call % rate per week.
Thanks in Advance!
Apply the same logic as you did to total calls and failed calls as you did to the this week and last week.
SELECT country,
COUNT(CASE WHEN actTerminalDateTime < #StartDate THEN 1 END) [LastWeekTotalCalls],
COUNT(CASE WHEN ActStatus = 105 AND actTerminalDateTime < #StartDate THEN 1 END) [LastWeekFailedCalls],
COUNT(CASE WHEN actTerminalDateTime >= #StartDate THEN 1 END) [ThisWeekTotalCalls],
COUNT(CASE WHEN ActStatus = 105 AND actTerminalDateTime >= #StartDate THEN 1 END) [ThisWeekFailedCalls]
FROM termactivity (NOLOCK)
INNER JOIN termconfig (NOLOCK)
ON cfgterminalID = actterminalID
INNER JOIN Country (NOLOCK)
ON country = cycode
WHERE actstatus in (5,105)
AND actTerminalDateTime BETWEEN DATEADD(DAY, -7, #StartDate) AND #EndDate
GROUP BY country
ORDER BY country ASC
I've also tidied up your query slightly, for example there is no point in specifying
WHEN ActStatus IN (5, 105) ...
When your WHERE clause already limits all results to 5, 105, therefore this is a redundant predicate in your case expression
From what I understand, you want to perform separate queries for two weeks, and you want both queries to produce rows for all countries, regardless of whether all countries had any calls. To achieve this, you need to use LEFT OUTER JOINS. The below code should guarantee that every country found in the Country table has a row, even if both sums are 0.
SELECT country,
SUM(CASE WHEN actstatus IN (5,105) THEN 1 ELSE 0 END) AS TotalCalls,
SUM(CASE WHEN actstatus = 105 THEN 1 ELSE 0 END) AS FailedCalls
FROM Country (NOLOCK)
LEFT OUTER JOIN termconfig (NOLOCK) ON country = cycode
LEFT OUTER JOIN termactivity (NOLOCK) ON cfgterminalID = actterminalID
WHERE (actTerminalDateTime BETWEEN #StartDate-7 AND #EndDate-7)
GROUP BY country
ORDER BY country ASC
If this was not what you wanted, perhaps you need to clarify your question. Many others have assumed that you want to combine the results into a single query.