Thread: The hidden cost of limit-offset
The skipped rows by an OFFSET
clause have to be computed nevertheless. I am wondering if there could be any chance to improve, since the computation is on the entire rows rather than on the criterial columns.
Consider the following example.
Create a sample table and insert some random data.
create table thing ( id int generated always as identity, tag float default random() ); insert into thing select from generate_series(1,100);
Let's find the last 10 rows ordered by tag
:
explain (analyze, verbose) select id, pg_sleep(0.1) from thing order by tag offset 90;
The execution plan is:
Limit (cost=5.77..5.92 rows=10 width=16) (actual time=9210.751..10121.411 rows=10 loops=1)
Output: id, (pg_sleep('0.1'::double precision)), tag
-> Result (cost=4.42..5.92 rows=100 width=16) (actual time=101.251..10121.344 rows=100 loops=1)
Output: id, pg_sleep('0.1'::double precision), tag
-> Sort (cost=4.42..4.67 rows=100 width=12) (actual time=0.064..0.200 rows=100 loops=1)
Output: id, tag
Sort Key: thing.tag
Sort Method: quicksort Memory: 29kB
-> Seq Scan on public.thing (cost=0.00..1.10 rows=100 width=12) (actual time=0.012..0.019 rows=100 loops=1)
Output: id, tag
Planning Time: 0.176 ms
Execution Time: 10121.450 ms
Obviously, all the 100 rows are computed before offsetting & limiting. But something really catches my eye:
- the 100 rows of
tag
are necessary becausetag
is the sort key; - the 100 rows of
id
are not all necessary but it is fine sinceid
andtag
are fetched from the same relation; - the 100 rows of
pg_sleep(0.1)
cause the major performance hit unnecessarily;pg_sleep(0.1)
depends on neithertag
norid
.
Could we improve the situation? Maybe the Limit
node could be done in advance before the Result
node for id
and pg_sleep(0.1)
? The execution plan could be something like:
Result (cost=5.77..5.92 rows=10 width=16)
Output: id, pg_sleep('0.1'::double precision), tag
-> Limit (cost=4.42..5.92 rows=10 width=12)
Output: id, tag
-> Sort (cost=4.42..4.67 rows=100 width=12)
Output: id, tag
Sort Key: thing.tag
-> Seq Scan on public.thing (cost=0.00..1.10 rows=100 width=12)
Output: id, tag
Generally, if the Limit
process could be executed immediately after the criterial attributes are computed rather than the full output is evaluated, pagination by limit-offset
could be considerably more performant for broad use cases. That is, pagination is done by several keys which is usually static, while a few dynamic but expensive attributes can be computed quite effectively since the result set is typically very small, by its (nested-)loop nature.
I don't understand the postgresql internal, but I suspect such a change may introduce significant work on the planner and executor. From my point view, skipping everything (or expensive ones) except the criteria in the target list would greatly improve the usability of OFFSET
, and it is definitely worth the effort.
Best regards.
–
SUN Bing
The skipped rows by an
OFFSET
clause have to be computed nevertheless. I am wondering if there could be any chance to improve, since the computation is on the entire rows rather than on the criterial columns.[...]
I don't understand the postgresql internal, but I suspect such a change may introduce significant work on the planner and executor. From my point view, skipping everything (or expensive ones) except the criteria in the target list would greatly improve the usability of
OFFSET
, and it is definitely worth the effort.
On Sunday, December 6, 2020, 孙冰 <subi.the.dream.walker@gmail.com> wrote:The skipped rows by an
OFFSET
clause have to be computed nevertheless. I am wondering if there could be any chance to improve, since the computation is on the entire rows rather than on the criterial columns.[...]
I don't understand the postgresql internal, but I suspect such a change may introduce significant work on the planner and executor. From my point view, skipping everything (or expensive ones) except the criteria in the target list would greatly improve the usability of
OFFSET
, and it is definitely worth the effort.Given that one can write this with a subquery without much difficulty i’m doubtful that effort spent in this area is going to be particularly valuable.David J.