Re: limit and query planner - Mailing list pgsql-general
| From | armand pirvu |
|---|---|
| Subject | Re: limit and query planner |
| Date | |
| Msg-id | 54D22E00-7941-4826-8D91-F4F02DC2EF39@gmail.com Whole thread Raw |
| In response to | Re: limit and query planner (Tom Lane <tgl@sss.pgh.pa.us>) |
| Responses |
Re: limit and query planner
|
| List | pgsql-general |
> On Jun 5, 2018, at 2:02 PM, Tom Lane <tgl@sss.pgh.pa.us> wrote:
>
> armand pirvu <armand.pirvu@gmail.com> writes:
>> My question is: I suspect the limit simply limits the fethching to the first n-records retrieved and has no
implicationswhatsoever on the planner, meaning the planner ignores it. Am I right or wrong ?
>
> You're quite wrong. The presence of a LIMIT causes the planner to prefer
> "fast start" plans, since it will then optimize on the basis of picking
> the lowest estimated cost to fetch the first N rows. As an example,
> you're more likely to get an ordered indexscan than a seqscan-and-sort
> for small N, though there are many cases where seqscan-and-sort wins
> if the need is to fetch the whole table.
>
> regards, tom lane
Thank you Tom
So since
select count(*) from sp_i2birst_reg_staging_test;
count
-------
6860
and
select count(*) from sp_i2birst_reg_staging_test where evt_id = 'ACSF17'
and status=0 ;
count
-------
4239
That means to me I fetch almost the whole table and then I fall in the case you described seqscan-and-sort wins over
indexscan.
My statement was made because in the case of an index it gets used as long as the data returned back falls below 10%
(orso) from the total data in the table and in the case of the original query no matter how low I get the N still seq
scanbut I guess is again the above sescan-and-sort scenario (see below)
create index fooidx on sp_i2birst_reg_staging_test (evt_id, status);
vacuum analyze sp_i2birst_reg_staging_test;
explain analyze select * from sp_i2birst_reg_staging_test where evt_id = 'ACSF17'
and status=1;
QUERY PLAN
Index Scan using fooidx on sp_i2birst_reg_staging_test (cost=0.28..202.91 rows=500 width=519) (actual
time=0.097..0.527rows=500 loops=1)
Index Cond: (((evt_id)::text = 'ACSF17'::text) AND (status = 1))
Planning time: 1.024 ms
Execution time: 0.766 ms
this gets 500 rows out of 6860
explain analyze select * from sp_i2birst_reg_staging_test where evt_id = 'ACSF17'
and status=1 limit 10;
QUERY PLAN
Limit (cost=0.28..4.33 rows=10 width=519) (actual time=0.073..0.105 rows=10 loops=1)
-> Index Scan using fooidx on sp_i2birst_reg_staging_test (cost=0.28..202.91 rows=500 width=519) (actual
time=0.072..0.101rows=10 loops=1)
Index Cond: (((evt_id)::text = 'ACSF17'::text) AND (status = 1))
Planning time: 0.280 ms
Execution time: 0.173 ms
Back to the original
explain analyze select * from sp_i2birst_reg_staging_test where evt_id = 'ACSF17'
and status=0 limit 1 ;
QUERY PLAN
Limit (cost=0.00..0.13 rows=1 width=519) (actual time=0.021..0.021 rows=1 loops=1)
-> Seq Scan on sp_i2birst_reg_staging_test (cost=0.00..548.40 rows=4239 width=519) (actual time=0.019..0.019
rows=1loops=1)
Filter: (((evt_id)::text = 'ACSF17'::text) AND (status = 0))
Rows Removed by Filter: 1
Planning time: 0.286 ms
Execution time: 0.110 ms
— Armand
pgsql-general by date: