From: | Richard Guo <guofenglinux(at)gmail(dot)com> |
---|---|
To: | David Rowley <dgrowleyml(at)gmail(dot)com> |
Cc: | Andy Fan <zhihui(dot)fan1213(at)gmail(dot)com>, PostgreSQL-development <pgsql-hackers(at)postgresql(dot)org> |
Subject: | Re: Support run-time partition pruning for hash join |
Date: | 2024-09-06 07:18:57 |
Message-ID: | CAMbWs49j+jtkDn2pZwtNFmW9Kt-PWVQJvkbLYne0e6r=_==FXA@mail.gmail.com |
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Lists: | pgsql-hackers |
On Fri, Sep 6, 2024 at 9:22 AM David Rowley <dgrowleyml(at)gmail(dot)com> wrote:
> Maybe instead of inventing a very pessimistic part prune Hash Join, it
> might be better to make the above work without the LATERAL + OFFSET 0
> by creating the parameterized paths Seq Scan paths. That's going to be
> an immense help when the non-partitioned relation just has a small
> number of rows, which I think your costing favoured anyway.
>
> What do you think?
This approach seems promising. It reminds me of the discussion about
pushing join clauses into a seqscan [1]. But I think there are two
problems that we need to address to make it work.
* Currently, the costing code does not take run-time pruning into
consideration. How should we calculate the costs of the parameterized
paths on partitioned tables?
* This approach generates additional paths at the scan level, which
may not be easily compared with regular scan paths. As a result, we
might need to retain these paths at every level of the join tree. I'm
afraid this could lead to a significant increase in planning time in
some cases. We need to find a way to avoid regressions in planning
time.
[1] https://postgr.es/m/3478841.1724878067@sss.pgh.pa.us
Thanks
Richard
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