2016-10-26 15:06 GMT+02:00 jaroet <jar...@gmail.com>:
> Internally we upgraded from 9.2 to 9.5 en we had defined an median
> function.
> This became about 7 to 8 times slower using the same functions.
>
> They are defined like this:
>
>
> CREATE OR REPLACE FUNCTION public._final_median(anyarray)
> RETURNS double precision
> LANGUAGE sql
> AS
> $body$
> WITH q AS
> (
> SELECT val
> FROM unnest($1) val
> WHERE VAL IS NOT NULL
> ORDER BY 1
> ),
> cnt AS
> (
> SELECT COUNT(*) AS c FROM q
> )
> SELECT AVG(val)::float8
> FROM
> (
> SELECT val FROM q
> LIMIT 2 - MOD((SELECT c FROM cnt), 2)
> OFFSET GREATEST(CEIL((SELECT c FROM cnt) / 2.0) - 1,0)
> ) q2;
> $body$
> IMMUTABLE
> COST 100;
>
>
> CREATE AGGREGATE median(anyelement)
> (
> sfunc = array_append,
> stype = anyarray,
> finalfunc = _final_median,
> initcond = '{}'
> );
>
> All SQL still work but a lot slower now. Our tables on which we use this
> function are between 5.000 and 150.000 rows with between 18 and 800
> columns.
>
> We found that the median function that fills an array is the slow part.
> When
> we change our SQL from median(fieldname) to
> _final_median(array_agg(fieldname)) the performance is even 3 times faster
> than on 9.2.
>
> So it looks like the array_agg function when used in a self-defined
> function
> is extremly slow.
>
> As we have a lot of files in our ETL proces where a lot of median functions
> are used we tried to fix this issue instead of altering the median SQL as
> mentioned above. But we are not yet succeeding.
>
This is pretty strange - please, can you send test case?
can you try to rewrite your SQL functions to plpgsql? There can be some
changes with inlining of SQL functions.
Regards
Pavel
>
> Anybody had this issue and knows about a way to solve this gracefully?
>
you can try to use buildin function percentile
https://www.postgresql.org/docs/9.5/static/functions-aggregate.html
Regards
Pavel
>
> Regards,
> jaroet
>
>
>
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