I just begin learning Postgresql recently. I have a table named 'sales':
create table sales
(
cust varchar(20),
prod varchar(20),
day integer,
month integer,
year integer,
state char(2),
quant integer
)
insert into sales values ('Bloom', 'Pepsi', 2, 12, 2001, 'NY', 4232);
insert into sales values ('Knuth', 'Bread', 23, 5, 2005, 'PA', 4167);
insert into sales values ('Emily', 'Pepsi', 22, 1, 2006, 'CT', 4404);
insert into sales values ('Emily', 'Fruits', 11, 1, 2000, 'NJ', 4369);
insert into sales values ('Helen', 'Milk', 7, 11, 2006, 'CT', 210);
......
It looks like this: And there are 500 rows in total.
Now I want to use the query to implement this:
For each combination of customer and product, output the maximum sales quantities for NY and minimum sales quantities for NJ and CT in 3 separate columns. Like the first report, display the corresponding dates (i.e., dates of those maximum and minimum sales quantities). Furthermore, for CT and NJ, include only the sales that occurred after 2000; for NY, include all sales.
It should be like this:
I have tried the following query:
SELECT
cust customer,
prod product,
MAX(CASE WHEN rn3 = 1 THEN quant END) NY_MAX,
MAX(CASE WHEN rn3 = 1 THEN TO_DATE(year || '-' || month || '-' || day, 'YYYY-MM-DD') END) date,
MIN(CASE WHEN rn2 = 1 THEN quant END) NJ_MIN,
MIN(CASE WHEN rn2 = 1 THEN TO_DATE(year || '-' || month || '-' || day, 'YYYY-MM-DD') END) date,
MIN(CASE WHEN rn1 = 1 THEN quant END) CT_MIN,
MIN(CASE WHEN rn1 = 1 THEN TO_DATE(year || '-' || month || '-' || day, 'YYYY-MM-DD') END) date
FROM (
SELECT
*,
ROW_NUMBER() OVER(PARTITION BY cust, prod ORDER BY quant) rn1,
ROW_NUMBER() OVER(PARTITION BY cust, prod ORDER BY quant) rn2,
ROW_NUMBER() OVER(PARTITION BY cust, prod ORDER BY quant DESC) rn3
FROM sales
) x
WHERE rn1 = 1 OR rn2 = 1 or rn3 = 1
GROUP BY cust, prod;
This is the result:
This is wrong because it shows me the maximum number and minimum number of all states, not of the specific state I want. And I have no idea how to deal with the year as the question as me to do.