Re: Partitioning and postgres_fdw optimisations for multi-tenancy - Mailing list pgsql-hackers

From Etsuro Fujita
Subject Re: Partitioning and postgres_fdw optimisations for multi-tenancy
Date
Msg-id CAPmGK15dTPxjL___pnxVfkMNfVTf91nKdHAkVVHu7KJey8OBWA@mail.gmail.com
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In response to Re: Partitioning and postgres_fdw optimisations for multi-tenancy  (Etsuro Fujita <etsuro.fujita@gmail.com>)
Responses Re: Partitioning and postgres_fdw optimisations for multi-tenancy
List pgsql-hackers
On Wed, Jul 15, 2020 at 9:02 PM Etsuro Fujita <etsuro.fujita@gmail.com> wrote:
> On Wed, Jul 15, 2020 at 12:12 AM Alexey Kondratov
> <a.kondratov@postgrespro.ru> wrote:
> > On 2020-07-14 15:27, Ashutosh Bapat wrote:
> > > On Tue, Jul 14, 2020 at 12:48 AM Alexey Kondratov
> > > <a.kondratov@postgrespro.ru> wrote:
> > >> Some real-life test queries show, that all single-node queries aren't
> > >> pushed-down to the required node. For example:
> > >>
> > >> SELECT
> > >>      *
> > >> FROM
> > >>      documents
> > >>      INNER JOIN users ON documents.user_id = users.id
> > >> WHERE
> > >>      documents.company_id = 5
> > >>      AND users.company_id = 5;
> > >
> > > There are a couple of things happening here
> > > 1. the clauses on company_id in WHERE clause are causing partition
> > > pruning. Partition-wise join is disabled with partition pruning before
> > > PG13.
>
> More precisely, PWJ cannot be applied when there are no matched
> partitions on the nullable side due to partition pruning before PG13.

On reflection, I think I was wrong: the limitation applies to PG13,
even with advanced PWJ.

> But the join is an inner join, so I think PWJ can still be applied for
> the join.

I think I was wrong in this point as well :-(.  PWJ cannot be applied
to the join due to the limitation of the PWJ matching logic.  See the
discussion started in [1].  I think the patch in [2] would address
this issue as well, though the patch is under review.

Best regards,
Etsuro Fujita

[1] https://www.postgresql.org/message-id/CAN_9JTzo_2F5dKLqXVtDX5V6dwqB0Xk%2BihstpKEt3a1LT6X78A%40mail.gmail.com
[2] https://www.postgresql.org/message-id/502.1586032678@sss.pgh.pa.us



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