Re: Optimization idea for long IN() lists

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On Sat, Aug 9, 2014 at 5:15 AM, Josh Berkus <josh@xxxxxxxxxxxx> wrote:
Folks,

So one thing we tell users who have chronically long IN() lists is that
they should create a temporary table and join against that instead.
Other than not having the code, is there a reason why PostgreSQL
shouldn't do something like this behind the scenes, automatically?


Hi Josh,

I know that problem for many years.
There are some workaround which doesn't require using the temporary tables (and I used that approach quite a lot when performance matter):

Instead of using:
SELECT * FROM sometable
WHERE
somefield IN (val1, val2, ...)
AND other_filters;

Query could be written as:
SELECT * FROM sometable
JOIN (VALUES ((val1), (val2) ...)) AS v(somefield) ON v.somefield=sometable.somefield
WHERE
other_filters;

When there no index on somefield query plans would look like as:

Original query:

   Filter: (somefield = ANY ('{...}'::integer[]))

vs optimized query:

 Hash Join  (cost=0.25..117.89 rows=22 width=59) (actual time=5.332..5.332 rows=0 loops=1)
   Hash Cond: (sometable.somefield = "*VALUES*".somefield)
...
   ->  Hash  (cost=0.12..0.12 rows=10 width=4) (actual time=0.010..0.010 rows=10 loops=1)
         Buckets: 1024  Batches: 1  Memory Usage: 1kB
         ->  Values Scan on "*VALUES*"  (cost=0.00..0.12 rows=10 width=4) (actual time=0.001..0.003 rows=10 loops=1)


In synthetic data I observed the following performance results (fully in-memory data with integer values):

List length            IN  Performance           JOIN VALUES Performance
       10                     5.39ms                         5.38ms
      100                     9.74ms                         5.49ms
     1000                    53.02ms                         9.89ms
    10000                   231.10ms                        13.14ms


So starting from 10 elements VALUES/HASH JOIN approach is clear winner.
In case of the text literals IN list performance difference even more obvious (~2 order of magnitude for 10000 list).

However, if IN list used for the primary key lookup - there are no visible performance difference between these two approaches.

So yes there are some space for optimization of "Filter: (somefield = ANY ('{...}'::integer[]))" via hashing.

--
Maxim Boguk
Senior Postgresql DBA
http://www.postgresql-consulting.ru/

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