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Re: hash join performance question

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armand pirvu <armand.pirvu@xxxxxxxxx> writes:
> testdb3=# explain analyze SELECT a.company_id  FROM csischema.dim_company a, woc.dim_company b
> testdb3-# WHERE a.company_id = b.company_id;
>                                                           QUERY PLAN                                                           
> -------------------------------------------------------------------------------------------------------------------------------
>  Hash Join  (cost=711.05..54938.35 rows=18980 width=4) (actual time=34.067..1118.603 rows=18980 loops=1)
>    Hash Cond: (a.company_id = b.company_id)
>    ->  Seq Scan on dim_company a  (cost=0.00..47097.82 rows=1850582 width=4) (actual time=0.013..523.249 rows=1786376 loops=1)
>    ->  Hash  (cost=473.80..473.80 rows=18980 width=4) (actual time=20.203..20.203 rows=18980 loops=1)
>          Buckets: 32768  Batches: 1  Memory Usage: 924kB
>          ->  Seq Scan on dim_company b  (cost=0.00..473.80 rows=18980 width=4) (actual time=0.007..10.076 rows=18980 loops=1)
>  Planning time: 0.511 ms
>  Execution time: 1121.068 ms
> (8 rows)

> I was expecting at least the PK of csischema.dim_company to be used . In another DBMS that was the case. The larger table , csischema.dim_company used the PK.

That looks like a perfectly reasonable plan to me.  If you think it isn't,
perhaps because you're assuming that both tables are fully cached in RAM,
then you should reduce random_page_cost to teach the planner that that's
the execution scenario you're expecting.  Everything always in RAM would
correspond to random_page_cost = 1, and some rough calculations suggest
that that would reduce the estimated cost of a
nestloop-with-inner-indexscan enough to make the planner choose that way.

			regards, tom lane


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