Postgres where clause over two columns from subquery
Solution 1
Refactor the subquery to a join.
Say you have
SELECT a, b FROM t1 WHERE (x,y) IN (SELECT x1, y1 FROM t2 WHERE ...)
which won't work. You rewrite to
SELECT a, b
FROM t1
INNER JOIN (
-- subquery here:
SELECT x1, y1
FROM t2
WHERE ...
) AS some_alias
WHERE t1.x = some_alias.x1
AND t1.y = some_alias.y1;
Note, in PostgreSQL you shouldn't use a CTE (WITH query) for this.
You can abbreviate
WHERE t1.x = some_alias.x1
AND t1.y = some_alias.y1;
to
WHERE (x, y) = (x1, y1)
though.
Solution 2
If you haven't got millions of rows, you can keep the semantic of your query by concatenating the values into one value:
select Dept, sum(Expense)
from records
where Year || Dept in (select Year || Dept from ...)
It's easy to read, understand and maintain, and it will perform just fine unless you have zillions of years and departments, which seems highly unlikely.
Solution 3
Solution found here:
SELECT dept, SUM(expense) FROM records
WHERE ROW(year, dept) IN (SELECT x, y FROM otherTable)
GROUP BY dept;
The ROW function does the magic.
Vik G
Updated on June 05, 2022Comments
-
Vik G almost 2 years
- Database: Postgres
- Table name:
records
- Has 4 columns
Year | Dept | Expense | Month
So per year there can be up to one record for each month / per department.
I have a sub-query which returns me the below data based on constraints.
Year | Dept 2001 | HR 2001 | ACC 2001 | TECH 2002 | TECH 2003 | HOUSE-KEEPING 2003 | TECH
Now I need to run another query on the same table to get a total of the expenses for each value pair.
Using the output of the subquery, my main query will be something like
select Dept, sum(Expense) from records where (Year, Dept) in (...) ... I want to iterate over value pairs from the subquery (SUBQUERY which returns Year | Dept 2001 | HR 2001 | ACC 2002 | TECH 2003 | HOUSE-KEEPING )
When I run this select statement, the output returned is only containing data for TECH across all three years.
Please can help understand how I can run the main select over all the rows of the subquery