jonlachlan@gmail.com writes:
> I'm using the 9.4 RC1 and trying out the WITHIN GROUP functions. I used a
> percentile_disc pattern successfully, however I think I came across a
> problem with using percent_rank(). Here is my SQL:
> SELECT percent_rank(datavalue) WITHIN GROUP (ORDER BY datavalue) as
> pct_rank, measureid
> FROM measuredata
> WHERE surveyyear=2013
> GROUP BY measureid;
That query isn't very sensible: the direct argument of percent_rank() has
to be a constant over any one aggregation group, else the percentile
calculation is meaningless.
> I want to be able to run a query that programmatically displays the
> 'pct_rank' of datavalue.
I'm not 100% sure what you mean by that, but I suspect you are looking for
something closer to the basic percent_rank() window function, not the
hypothetical-set function. Hypothetical-set functions are for computing
the measure that would be attributed to a row that's not actually present
in the data. Moreover, since they're aggregates, they produce only one
output per GROUP BY group, and I don't understand what you mean by
"pct_rank of datavalue" at a group level. Perhaps what you want is
SELECT percent_rank() OVER (PARTITION BY measureid ORDER BY datavalue) as
pct_rank, measureid
FROM measuredata
WHERE surveyyear=2013;
It could also be that what you're after will require doing a window
function like that in a sub-SELECT, and then grouping and/or aggregating
in the outer query.
regards, tom lane
