Now, in my experience, the current system for custom plans vs. generic plans doesn't approach the problem in this way at all, and in my experience that results in some pretty terrible behavior. It will do things like form a custom plan every time because the estimated cost of the custom plan is lower than the estimated cost of the generic plan even though the two plans are structurally identical; only the estimates differ. It will waste gobs of CPU cycles by replanning a primary key lookup 5 times just on the off chance that a lookup on the primary key index isn't the best option. But this patch isn't going to fix any of that. The best we can probably do is try to adjust the costing for Append paths in some way that reflects the costs and benefits of pruning. I'm tentatively in favor of trying to do something modest in that area, but I don't have a detailed proposal.
I just realized this issue recently and reported it at [1], then Amit pointed
me to this issue being discussed here, so I would like to continue this topic
here.
I think we can split the issue into 2 issues. One is the partition prune in initial
partition prune, which maybe happen in custom plan case only and caused
the above issue. The other one happens in the "Run-Time" partition prune,
I admit that is an important issue to resolve as well, but looks harder. So I
think we can fix the first one at first.
... When we count for the cost of a
generic plan, we can reduce the cost based on such information.
This way doesn't work since after the initial partition prune, not only the
cost of the Append node should be reduced, the cost of other plans should
be reduced as well [1]
However I think if we can use partition prune information from a custom plan
at the cost_append_path stage, it looks the issue can be fixed. If so, the idea
is similar to David's idea in [2], however Robert didn't agree with this[2].
Can anyone elaborate this objection? for a partkey > $1 or BETWEEN cases,
some real results from the past are probably better than some hard-coded