On 2 July 2015 at 14:08, Heikki Linnakangas <hlinnaka@iki.fi> wrote:
On 06/27/2015 07:45 AM, Amit Kapila wrote:
Sometime back on one of the PostgreSQL blog [1], there was discussion about the performance of drop/truncate table for large values of shared_buffers and it seems that as the value of shared_buffers increase the performance of drop/truncate table becomes worse. I think those are not often used operations, so it never became priority to look into improving them if possible.
I have looked into it and found that the main reason for such a behaviour is that for those operations it traverses whole shared_buffers and it seems to me that we don't need that especially for not-so-big tables. We can optimize that path by looking into buff mapping table for the pages that exist in shared_buffers for the case when table size is less than some threshold (say 25%) of shared buffers.
Attached patch implements the above idea and I found that performance doesn't dip much with patch even with large value of shared_buffers. I have also attached script and sql file used to take performance data.
I'm marking this as "returned with feedback" in the commitfest. In addition to the issues raised so far, ISTM that the patch makes dropping a very large table with small shared_buffers slower (DropForkSpecificBuffers() is O(n) where n is the size of the relation, while the current method is O(shared_buffers))
There are no unresolved issues with the approach, nor is it true it is slower. If you think there are some, you should say what they are, not act high handedly to reject a patch without reason.
I concur that we should explore using a radix tree or something else that would naturally allow you to find all buffers for relation/database X quickly.
I doubt that it can be managed efficiently while retaining optimal memory management. If it can its going to be very low priority (or should be).
This approach works, so lets do it, now. If someone comes up with a better way later, great.
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Simon Riggs http://www.2ndQuadrant.com/ PostgreSQL Development, 24x7 Support, Remote DBA, Training & Services
