Le 2012-09-24 à 12:32, Rachel Owsley a écrit :
Hi,
Can anyone help me with an aggregate query I am having trouble with?
I want to get the top 5 or top 10 most frequently shopped in merchant categories for each account holder at a bank and put each of the quintiles/deciles into separate columns. I would also like to put the average transaction amount for each of those top 5-10 categories into separate columns, and the date of the last transaction in each of those 5 to 10 categories into separate columns. I am told that ntile may be an option for doing this, but can’t find any examples for using it in the documentation.
We use Postgresql 9.1.
Thank you so much for your help.
Rachel
Hi!
Look at the tablefunc extension to do cross tabulation. The crosstab family of functions turn a series of rows into columns. Something like this:
a | 1
b | 2
a | b
1 | 2
It obviously works with more columns. That would take care of the final part of your query.
I've never used ntile() myself, but the docs say it returns 1 to the value. Then you may want the min/max amount per decile to extract the values you want. Something like this (untested, made up schema):
WITH raw_values(
SELECT
account_id
, merchant_category_id
FROM transactions
JOIN merchants USING (merchant_id))
, partitioned_sales AS (
SELECT
account_id
, merchant_category_id
, ntile(10) over (partition by account_id, merchant_category_id order by amount) as "partition"
, min(amount) over (partition by account_id, merchant_category_id order by amount) as amount
FROM raw_values)
SELECT *
FROM partitioned_sales
ORDER BY account_id, merchant_category_id, partition, amount
Hope that helps!
François