Obtain maximum row_number inside a cross apply - sql

I am having trouble in calculating the maximum of a row_number in my sql case.
I will explain it directly on the SQL Fiddle example, as I think it will be faster to understand: SQL Fiddle
Columns 'OrderNumber', 'HourMinute' and 'Code' are just to represent my table and hence, should not be relevant for coding purposes
Column 'DateOnly' contains the dates
Column 'Phone' contains the phones of my customers
Column 'Purchases' contains the number of times customers have bought in the last 12 months. Note that this value is provided for each date, so the 12 months time period is relative to the date we're evaluating.
Finally, the column I am trying to produce is the 'PREVIOUSPURCHASES' which counts the number of times the figure provided in the column 'Purchases' has appeared in the previous 12 months (for each phone).
You can see on the SQL Fiddle example what I have achieved so far. The column 'PREVIOUSPURCHASES' is producing what I want, however, it is also producing lower values (e.g. only the maximum one is the one I need).
For instance, you can see that rows 4 and 5 are duplicated, one with a 'PREVIOUSPURCHASES' of 1 and the other with 2. I don't want to have the 4th row, in this case.
I have though about replacing the row_number by something like max(row_number) but I haven't been able to produce it (already looked at similar posts at stackoverflow...).
This should be implemented in SQL Server 2012.
Thanks in advance.

I'm not sure what kind of result set you want to see but is there anything wrong with what's returned with this?
SELECT c.OrderNumber, c.DateOnly, c.HourMinute, c.Code, c.Phone, c.Purchases, MAX(o.PreviousPurchases)
FROM cte c CROSS APPLY (
SELECT t2.DateOnly, t2.Phone,t2.ordernumber, t2.Purchases, ROW_NUMBER() OVER(PARTITION BY c.DateOnly ORDER BY t2.DateOnly) AS PreviousPurchases
FROM CurrentCustomers_v2 t2
WHERE c.Phone = t2.Phone AND t2.purchases<=c.purchases AND DATEDIFF(DAY, t2.DateOnly, c.DateOnly) BETWEEN 0 AND 365
) o
WHERE c.OrderNumber = o.OrderNumber
GROUP BY c.OrderNumber, c.DateOnly, c.HourMinute, c.Code, c.Phone, c.Purchases
ORDER BY c.DateOnly

Related

Calculating the percentage of different types of customer feedback in each quarter

The problem statement is: I have a table (order_t) which has customer feedback (one column) and quarter number (as another column).
Using a CTE, I need to calculate the percentage of number of customer feedback in each category as well as the total number of customer feedback in each quarter.
After this happens, I need the percentage of different types of customer feedback (like good, bad, ok, very good, very bad) but using CTE.
How can I solve this statement?
I try to solve customer feedback as
WITH total_feedback AS
(
SELECT *
COUNT(CUSTOMER_FEEDBACK), QUARTER NUMBER
FROM
table1
GROUP BY
2
)
But I'm unable to calculate the first half portion, i.e. percentage of different types of customer feedback in each quarter using CTE.
How can I do that?
Find the file of the data
What you could do, and I'll keep the example as close to the code you provided as possible, is the following - using 2 CTE's:
WITH total_feedback AS (
SELECT COUNT(CUSTOMER_FEEDBACK) AS total_feedback, QUARTER_NUMBER
FROM table1
GROUP BY 2
),
category_feedback AS (
SELECT COUNT(CUSTOMER_FEEDBACK) AS feedback_count, CUSTOMER_FEEDBACK, QUARTER_NUMBER
FROM table1
GROUP BY 2, 3
)
SELECT
category_feedback.CUSTOMER_FEEDBACK,
category_feedback.QUARTER_NUMBER,
(feedback_count / total_feedback.total_feedback) * 100 AS feedback_percentage
FROM category_feedback
INNER JOIN total_feedback
ON category_feedback.QUARTER_NUMBER = total_feedback.QUARTER_NUMBER

Sum Column for Running Total where Overlapping Date

I have a table with about 3 million rows of Customer Sales by Date.
For each CustomerID row I need to get the sum of the Spend_Value
WHERE Order_Date BETWEEN Order_Date_m365 AND Order_Date
Order_Date_m365 = OrderDate minus 365 days.
I just tried a self join but of course, this gave the wrong results due to rows overlapping dates.
If there is a way with Window Functions this would be ideal but I tried and can't do the between dates in the function, unless I missed a way.
Tonly way I can think now is to loop so process all rank 1 rows into a table, then rank 2 in a table, etc., but this will be really inefficient on 3 million rows.
Any ideas on how this is usually handled in SQL?
SELECT CustomerID,Order_Date_m365,Order_Date,Spend_Value
FROM dbo.CustomerSales
Window functions likely won't help you here, so you are going to need to reference the table again. I would suggest that you use an APPLY with a subquery to do this. Provided you have relevant indexes then this will likely be the more efficient approach:
SELECT CS.CustomerID,
CS.Order_Date_m365,
CS.Order_Date,
CS.Spend_Value,
o.output
FROM dbo.CustomerSales CS
CROSS APPLY (SELECT SUM(Spend_Value) AS output
FROM dbo.CustomerSales ca
WHERE ca.CustomerID = CS.CustomerID
AND ca.Order_Date >= CS.Order_Date_m365 --Or should this is >?
AND ca.Order_Date <= CS.Order_Date) o;

Executing a Aggregate function within a case without Group by

I am trying to assign a specific code to a client based on the number of gifts that they have given in the past 6 months using a CASE. I am unable to use WITH (screenshot) due to the limitations of the software that I am creating the query in. It only allows for select functions. I am unsure how to get a distinct count from another table (transaction data) and use that as parameters in the CASE I have currently built (based on my client information table). Does anyone know of any workarounds for this? I am unable to GROUP BY clientID at the end of my query because not all of my columns are aggregate, and I only need to GROUP BY clientID for this particular WHEN statement in the CASE. I have looked into the OVER() clause, but I am needing my date range that I am evaluating to be dynamic (counting transactions over the last six months), and the amount of rows that I would be including is variable, as the transaction count month to month varies. Also, the software that I am building this in does not recognize the PARTITIONED BY parameter of the over clause.
Any help would be great!
EDIT:
it is not letting me attach an image... -____- I have added the two sections of code that I am looking for assistance with!
WITH "6MonthGIftCount" (
"ConstituentID"
,"GiftCount"
)
AS (
SELECT COUNT(DISTINCT "GiftView"."GiftID" FROM "GiftView" WHERE MONTHS_BETWEEN("GiftView"."GiftDate", getdate()) <= 6 GROUP BY "GiftView"."ConstituentID")
SELECT...CASE
WHEN "6MonthGiftCount"."GiftCount" >= 4
THEN 'A010'
)
Perform your grouping/COUNT(1) in a subquery to obtain the total # of donations by ConstituentID, then JOIN this total into your main query that uses this new column to perform its CASE statement.
select
hist.*,
case when timesDonated > 5 then 'gracious donor'
when timesDonated > 3 then 'repeated donor'
when timesDonated >= 1 then 'donor'
else null end as donorCode
from gifthistory hist
left join ( /* your grouping subquery here, pretending to be a new table */
select
personID,
count(1) as timesDonated
from gifthistory i
WHERE abs(months_between(giftDate, sysdate)) <= 6
group by personid ) grp on hist.personid = grp.personID
order by 1;
*Naturally, syntax changes will vary by DB; you didn't specify which it was based on, but you should be able to use this template with whichever you utilize. This works in both Oracle and SQL Server after tweaking the month calculation appropriately.

SQL statement to match dates that are the closest?

I have the following table, let's call it Names:
Name Id Date
Dirk 1 27-01-2015
Jan 2 31-01-2015
Thomas 3 21-02-2015
Next I have the another table called Consumption:
Id Date Consumption
1 26-01-2015 30
1 01-01-2015 20
2 01-01-2015 10
2 05-05-2015 20
Now the problem is, that I think that doing this using SQL is the fastest, since the table contains about 1.5 million rows.
So the problem is as follows, I would like to match each Id from the Names table with the Consumption table provided that the difference between the dates are the lowest, so we have: Dirk consumes on 27-01-2015 about 30. In case there are two dates that have the same "difference", I would like to calculate the average consumption on those two dates.
While I know how to join, I do not know how to code the difference part.
Thanks.
DBMS is Microsoft SQL Server 2012.
I believe that my question differs from the one mentioned in the comments, because it is much more complicated since it involves comparison of dates between two tables rather than having one date and comparing it with the rest of the dates in the table.
This is how you could it in SQL Server:
SELECT Id, Name, AVG(Consumption)
FROM (
SELECT n.Id, Name, Consumption,
RANK() OVER (PARTITION BY n.Id
ORDER BY ABS(DATEDIFF(d, n.[Date], c.[Date]))) AS rnk
FROM Names AS n
INNER JOIN Consumption AS c ON n.Id = c.Id ) t
WHERE t.rnk = 1
GROUP BY Id, Name
Using RANK with PARTITION BY n.Id and ORDER BY ABS(DATEDIFF(d, n.[Date], c.[Date])) you can locate all matching records per Id: all records with the smallest difference in days are going to have rnk = 1.
Then, using AVG in the outer query, you are calculating the average value of Consumption between all matching records.
SQL Fiddle Demo

Subtracting 2 values from a query and sub-query using CROSS JOIN in SQL

I have a question that I'm having trouble answering.
Find out what is the difference in number of invoices and total of invoiced products between May and June.
One way of doing it is to use sub-queries: one for June and the other one for May, and to subtract the results of the two queries. Since each of the two subqueries will return one row you can (should) use CROSS JOIN, which does not require the "on" clause since you join "all" the rows from one table (i.e. subquery) to all the rows from the other one.
To find the month of a certain date, you can use MONTH function.
Here is the Erwin document
This is what I got so far. I have no idea how to use CROSS JOIN in this situation
select COUNT(*) TotalInv, SUM(ILP.ProductCount) TotalInvoicedProducts
from Invoice I, (select Count(distinct ProductId) ProductCount from InvoiceLine) AS ILP
where MONTH(inv_date) = 5
select COUNT(*) TotalInv, SUM(ILP.ProductCount) TotalInvoicedProducts
from Invoice I, (select Count(distinct ProductId) ProductCount from InvoiceLine) AS ILP
where MONTH(inv_date) = 6
If you guys can help that would be great.
Thanks
The problem statement suggests you use the following steps:
Construct a query, with a single result row giving the values for June.
Construct a query, with a single result row giving the values for May.
Compare the results of the two queries.
The issue is that, in SQL, it's not super easy to do that third step. One way to do it is by doing a cross join, which yields a row containing all the values from both subqueries; it's then easy to use SELECT (b - a) ... to get the differences you're looking for. This isn't the only way to do the third step, but what you have definitely doesn't work.
can't you do something with subqueries? I haven't tested this, but something like the below should give you 4 columns, invoices and products for may and june.
select (
select 'stuff' a, count(*) as june_invoices, sum(products) as products from invoices
where month = 'june'
) june , (
select 'stuff' a, count(*) as may_invoices, sum(products) as products from invoices
where month = 'may'
) may
where june.a = may.a