Re: [PoC] Reducing planning time when tables have many partitions

Yuya Watari <watari.yuya@gmail.com>

From: Yuya Watari <watari.yuya@gmail.com>
To: Andrey Lepikhov <a.lepikhov@postgrespro.ru>, Thom Brown <thom@linux.com>
Cc: Alvaro Herrera <alvherre@alvh.no-ip.org>, Zhang Mingli <zmlpostgres@gmail.com>, Tom Lane <tgl@sss.pgh.pa.us>, David Rowley <dgrowleyml@gmail.com>, PostgreSQL Developers <pgsql-hackers@lists.postgresql.org>
Date: 2022-11-29T08:58:25Z
Lists: pgsql-hackers

Commits

Same data as JSON: GET /api/v1/messages/:b64id/commits the thread's linked commits as JSON, with link sources. API reference →
  1. Update wording in optimizer/README for EquivalenceClasses

  2. Speedup child EquivalenceMember lookup in planner

  3. Allow planner to use Merge Append to efficiently implement UNION

  4. Remove trailing zero words from Bitmapsets

  5. Make Vars be outer-join-aware.

  6. Avoid making commutatively-duplicate clauses in EquivalenceClasses.

Attachments

Dear Andrey and Thom,

Thank you for reviewing and testing the patch. I really apologize for
my late response.

On Tue, Nov 8, 2022 at 8:31 PM Andrey Lepikhov
<a.lepikhov@postgrespro.ru> wrote:
> Looking into find_em_for_rel() changes I see that you replaced
> if (bms_is_subset(em->em_relids, rel->relids)
> with assertion statement.
> According of get_ecmember_indexes(), the em_relids field of returned
> equivalence members can contain relids, not mentioned in the relation.
> I don't understand, why it works now? For example, we can sort by t1.x,
> but have an expression t1.x=t1.y*t2.z. Or I've missed something? If it
> is not a mistake, maybe to add a comment why assertion here isn't failed?

As you pointed out, changing the bms_is_subset() condition to an
assertion is logically incorrect here. Thank you for telling me about
it. I fixed it and attached the modified patch to this email.

On Thu, Nov 17, 2022 at 9:05 PM Thom Brown <thom@linux.com> wrote:
> No issues with applying. Created 1024 partitions, each of which is
> partitioned into 64 partitions.
>
> I'm getting a generic planning time of 1415ms. Is that considered
> reasonable in this situation? Bear in mind that the planning time
> prior to this patch was 282311ms, so pretty much a 200x speedup.

Thank you for testing the patch with an actual query. This speedup is
very impressive. When I used an original query with 1024 partitions,
its planning time was about 200ms. Given that each partition is also
partitioned in your workload, I think the result of 1415ms is
reasonable.

-- 
Best regards,
Yuya Watari