Re: Performance bottleneck due to array manipulation

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=?iso-8859-1?Q?Genc=2C_=D6mer?= <Oemer.Genc@xxxxxxxxxxxxxxxxxx> writes:
> i have a very long running stored procedure, due to array manipulation in a stored procedure. The following procedure takes 13 seconds to finish.

> BEGIN
>     point_ids_older_than_one_hour := '{}';
>     object_ids_to_be_invalidated := '{}';

>     select ARRAY(SELECT
>                     point_id
>                 from ONLY
>                     public.ims_point as p
>                 where
>                     p.timestamp < m_before_one_hour
>                 )
>     into point_ids_older_than_one_hour ; -- this array has a size of 20k

>     select ARRAY(SELECT
>                         object_id
>                   from
>                         public.ims_object_header h
>                   WHERE
>                         h.last_point_id= ANY(point_ids_older_than_one_hour)
>                  )
>     into object_ids_to_be_invalidated; -- this array has a size of 100

>     --    current_last_point_ids will have a size of 100k
>     current_last_point_ids := ARRAY( SELECT
>                                             last_point_id
>                                       from
>                                             public.ims_object_header h
>                                      );
>     -- START OF PERFORMANCE BOTTLENECK
>     IF(array_length(current_last_point_ids, 1) > 0)
>     THEN
>         FOR i IN 0 .. array_upper(current_last_point_ids, 1)
>         LOOP
>             point_ids_older_than_one_hour = array_remove(point_ids_older_than_one_hour, current_last_point_ids[i]::bigint);
>         END LOOP;
>     END IF;
>     -- END OF PERFORMANCE BOTTLENECK
> END;

Well, in the first place, this is the cardinal sin of working with SQL
databases: doing procedurally that which should be done relationally.
Forget the arrays entirely and use EXCEPT, ie

  SELECT point_id FROM ...
  EXCEPT
  SELECT last_point_id FROM ...

Or maybe you want EXCEPT ALL, depending on whether duplicates are possible
and what you want to do with them if so.

Having said that, the way you have this is necessarily O(N^2) because
array_remove has to search the entire array on each call, and then
reconstruct the entire array less any removed element(s).  The new
"expanded array" infrastructure in 9.5 could perhaps reduce some of the
constant factor, but the array search loop remains so it would still be
O(N^2); and anyway array_remove has not been taught about expanded arrays
(which means this example is probably even slower in 9.5 :-().

If you were using integers, you could possibly get decent performance from
contrib/intarray's int[] - int[] operator (which I think does a sort and
merge internally); but I gather that these are bigints, so that won't
work.

			regards, tom lane








>                                       from






> The array manipulation part is the performance bottleneck. I am pretty sure, that there is a better way of doing this, however I couldn't find one.
> What I have is two table, lets call them ims_point and ims_object_header. ims_object_header references some entries of ims_point in the column last_point_id.
> Now I want to delete all entries from ims_point, where the timestamp is older than one hour. The currently being referenced ids of the table ims_object_header should be excluded from this deletion. Therefore I stored the ids in arrays and iterate over those arrays to exclude the referenced values from being deleted.

> However, I not sure if using an array for an operation like this is the best approach.

> Can anyone give me some advice how this could be enhanced.

> Thanks in advance.




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