Re: Cluster vs. non-cluster query planning

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Tom Lane wrote:
Nolan Cafferky <Nolan.Cafferky@xxxxxxxxxxxxxxxxxx> writes:
But, I'm guessing that random_page_cost = 1 is not a realistic value.

Well, that depends.  If all your data can be expected to fit in memory
then it is a realistic value.  (If not, you should be real careful not
to make performance decisions on the basis of test cases that *do* fit
in RAM...)

In any case, if I recall your numbers correctly you shouldn't need to
drop it nearly that far to get the thing to make the right choice.
A lot of people run with random_page_cost set to 2 or so.
Thanks for the advice.  I will check what changing random_page_cost does for the rest of the queries on our system.

I did learn why the estimated row count was so high.  This is new knowledge to me, so I'm going to share it.

SELECT reltuples FROM pg_class WHERE relname = 'orders'; -> produces 98426.
SELECT n_distinct FROM pg_stats WHERE tablename = 'orders' and attname = 'order_statuses_id'; -> currently 13.

 Seq Scan on orders o  (cost=1.20..11395.53 rows=7570 width=8) (actual time=283.599..285.031 rows=105 loops=1)
   Filter: (order_statuses_id = $0)
   InitPlan
     ->  Seq Scan on order_statuses  (cost=0.00..1.20 rows=1 width=4) (actual time=0.031..0.038 rows=1 loops=1)
           Filter: ((id_name)::text = 'new'::text)
 Total runtime: 285.225 ms

(98426 / 13)::integer = 7571 ~= 7570, the estimated row count.

So the query planner isn't able to combine the knowledge of the id value from order_statuses with most_common_vals, most_common_freqs, or histogram_bounds from pg_stats. That seems a little odd to me, but maybe it makes sense. I suppose the planner can't start executing parts of the query to aid in the planning process.

In the future, I will probably pre-select from order_statuses before executing this query.

Thanks!


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