I have a large table, which I want to group by one column value and produce an aggregate of another column value. As an aggregate I don't care about the actual value as long as it's a value that appears in any of the rows of the grouped by column. Something like coalesce()
, e.g. an aggregate that produces the first non-null value it receives in the input set.
Of course, coalesce()
is not an aggregate function, and there actually is no aggregate function matching the behavior I need, in the docs:
What can I do to retrieve any element for each group in a group by query?
I know I could use min()
or max()
but I'd rather avoid to compare all values to each other to identify the result. A solution that would prevent hitting any more pages for a group that already has a value would be ideal. It's a big table (several GB on disk) with large groups (hundreds of thousands rows).
I have seen there are recursive CTE and lateral joins. I am trying to wrap my head around these, to see if these might help...
Here's an example:
with t1(x) as (select * from generate_series(0, 10, 1)),
t2(x, y) as (select * from t1, t1 t2)
select x
, any_element(y) -- how can I simulate this any_element() aggregate function?
from t2
group by x
order by x
min()
ormax()
. – Misogamymin()
is what will slow you down. It's the scanning through all rows and creating the groups. Unless you have a lot of rows per group (e.g. millions of rows for each group) finding the min (or max) will be the cheapest part of the whole step. – Misogamy