Re: Improve choose_custom_plan for initial partition prune case - Mailing list pgsql-hackers
From | Andy Fan |
---|---|
Subject | Re: Improve choose_custom_plan for initial partition prune case |
Date | |
Msg-id | CAKU4AWrkx8-eZ3maTrsWvhYXro3brgYGR9qr3uaXtv66gCEU=w@mail.gmail.com Whole thread Raw |
In response to | Re: Improve choose_custom_plan for initial partition prune case (Amit Langote <amitlangote09@gmail.com>) |
Responses |
Re: Improve choose_custom_plan for initial partition prune case
|
List | pgsql-hackers |
Hi Amit:
Very glad to see your comment!
On Fri, Oct 2, 2020 at 4:21 PM Amit Langote <amitlangote09@gmail.com> wrote:
Hi Andy,
On Fri, Oct 2, 2020 at 1:04 AM Andy Fan <zhihui.fan1213@gmail.com> wrote:
>
> Given the plan example:
>
> CREATE TABLE measurement (
> city_id int not null,
> logdate date not null,
> peaktemp int,
> unitsales int
> ) PARTITION BY RANGE (logdate);
>
> CREATE TABLE measurement_y2006m02 PARTITION OF measurement
> FOR VALUES FROM ('2006-02-01') TO ('2006-03-01');
>
> CREATE TABLE measurement_y2006m03 PARTITION OF measurement
> FOR VALUES FROM ('2006-03-01') TO ('2006-04-01');
>
> prepare s as select * from measurement where logdate = $1;
> execute s('2006-02-01').
>
> The generic plan will probably not be chosen because it doesn't reduce the cost
> which can be reduced at initial_prune while the custom plan reduces such cost
> at planning time. which makes the cost comparison not fair.
I agree that there is something to be done here. Actually, I think we
should try to find a solution that will allow us to consider not just
"initial" pruning, but also "execution-time" pruning. The latter
will allow a nested loop join whose inner side scans a partitioned
table using a parameterized scan on the partition key to be favored
over other join plans, because that parameterized scan can use
execution-time pruning which can make the inner scan very cheap.
This looks like to resolve another important issue of partition prune, which
may happen at planning time totally (no generic plan or custom plan involved).
for example between choosing a Nest Loop plan which can use
some run-time partition prune and hash join which can't. I "repeat" your idea
just to make sure I understand you correctly.
> I'm thinking if we can
> get an estimated cost reduction of initial_prunne for generic plan based on the
> partition pruned at plan time from custom plan and then reducing
> such costs from the generic plan. I just went through the related code but
> didn't write anything now. I'd like to see if this is a correct direction to go.
That's an interesting idea, that is, to try to do this totally outside
the planner. When I was thinking about this a little while ago, I was
trying to find a way to adjust the cost of the plan in the planner
itself by looking at the runtime pruning info in the nodes that
support it, that is, Append, MergeAppend. Actually, such an approach
had also come up in the original run-time pruning discussion [1].
Thank you for your comments. Looks like your approach can be helpful
for the both cases, and I did think a bit for that as well, However, that looks
complex (for me) AND I am prefer to guess how many partitions can be
pruned with real data even it is the real data in the past (I assume that
will not cause too much difference in practice).
I'm not sure if I should treat Robert's comments as an opposed idea[1] ,
but I think there are some little differences. I'd like to implement my idea
soon, and I'm glad to see any opposed idea at any time, of course the sooner
the better:)
Best Regards
Andy Fan
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