I have the following brands
table with total
sales per month
as a result of a previous query:
id | date | total
-----+----------+------
123 | Apr-2012 | 100
123 | Mar-2012 | 150
123 | Jan-2012 | 500
987 | Apr-2012 | 5
987 | Mar-2012 | 0.10
987 | Feb-2012 | 8
I am looking to achieve the following:
id | Apr-2012 | Mar-2012 | Feb-2012 | Jan-2012
123 | 100 | 150 | 0 | 500
987 | 5 | 0.10 | 8 | 0
How do I use the date
values as columns and be able to fill in missing dates with 0 totals?
A crosstab()
query for your example would look like this:
To fill in 0
for resulting NULL
values (request in comment), use COALESCE()
:
SELECT brand_id
, COALESCE(jan, 0) AS "Jan-2012"
, COALESCE(feb, 0) AS "Feb-2012"
, COALESCE(mar, 0) AS "Mar-2012"
, COALESCE(apr, 0) AS "Apr-2012"
FROM crosstab(
'SELECT brand_id, month, total
FROM brands
ORDER BY 1'
,$$VALUES ('Jan-2012'::text), ('Feb-2012'), ('Mar-2012'), ('Apr-2012')$$
) AS ct (
brand_id int
, jan numeric -- use actual data type!
, feb numeric
, mar numeric
, apr numeric);
Detailed explanation and links in this related answer:
PostgreSQL Crosstab Query
Aside: not using the reserved word "date" as column name and you shouldn't either, even if Postgres allows it.