PostgreSQL Crosstab Query With Changing Rows - postgresql

Question

Can someone please help me put this query together?
I have this table:
store name status orders
billys store new 15
billys store ordered 20
billys store canceled 2
johnny store new 5
johnny store out_of_stock 20
rosie store new 6
rosie store ordered 4
rosie store out_of_stock 10
So as you can see, some stores have some statuses that others don't.
My desired result is the following:
store name new ordered canceled out of stock
billys store 15 20 2 0
johnny store 5 0 0 20
rosie store 6 4 0 10
I have tried the following:
SELECT * FROM crosstab(
'SELECT store_name::text as store_name,
status::text as status,
count(*)::int as orders
FROM organizations
INNER JOIN orders ON organization_id = organizations.id
GROUP BY store_name, status
ORDER BY store_name, status'
) x (store_name text, "new" int, "ordered" int)
But this doesn't work since it will break when the new row is not an expected value. For example with 'johnny store', after 'new' is not 'ordered', it's 'out_of_stock' so that won't work.
I've looked through a bunch of StackOverflow posts but I'm just overall pretty confused. Thank you

Answer 1

We can do this using CASE to avoid using sub-queries.
CREATE TABLE organisation (
store_name VARCHAR(25),
status VARCHAR(25),
orders INT);
INSERT INTO organisation VALUES
('billys store', 'new' , 15),
('billys store', 'ordered' , 20),
('billys store', 'canceled' , 2),
('johnny store', 'new' , 5),
('johnny store', 'out_of_stock', 20),
('rosie store' , 'new' , 6),
('rosie store' , 'ordered' , 4),
('rosie store' , 'out_of_stock', 10);
8 rows affected
SELECT store_name,
SUM(CASE WHEN status='new' THEN orders ELSE 0 END) new_,
SUM(CASE WHEN status='canceled' THEN orders ELSE 0 END) canceled,
SUM(CASE WHEN status='ordered' THEN orders ELSE 0 END) ordered,
SUM(CASE WHEN status='new' THEN orders ELSE 0 END) o_o_s
FROM organisation o
GROUP BY store_name;
GO
store_name | new | canceled | ordered | o_o_s
:----------- | --: | -------: | ------: | ----:
billys store | 15 | 2 | 20 | 15
johnny store | 5 | 0 | 0 | 5
rosie store | 6 | 0 | 4 | 6
db<>fiddle here

Answer 2

Maybe you couldn't understand it from the link I provided but tablefunc extension makes this much easier IMHO. Here is a sample based on your code, you would replace the first query with yours that gets the data from your tables:
create temporary table myTable (storename text, status text, orders int);
insert into myTable (storename, status, orders)
values
('billys store','new', 15),
('billys store','ordered', 20),
('billys store','canceled', 2),
('johnny store','new', 5),
('johnny store','out_of_stock', 20),
('rosie store','new', 6),
('rosie store','ordered', 4),
('rosie store','out_of_stock', 10);
SELECT * FROM crosstab(
'SELECT storename,
status,
orders
FROM myTable',
'select * from unnest(string_to_array(''new,ordered,canceled,out_of_stock'', '',''))'
) x (storename text, "new" int, "ordered" int, "canceled" int, "out_of_stock" int);
drop table myTable;
Here is DBFiddle demo