From: | Amit Kapila <amit(dot)kapila16(at)gmail(dot)com> |
---|---|
To: | Bharath Rupireddy <bharath(dot)rupireddyforpostgres(at)gmail(dot)com> |
Cc: | li jie <ggysxcq(at)gmail(dot)com>, PostgreSQL Hackers <pgsql-hackers(at)lists(dot)postgresql(dot)org> |
Subject: | Re: Reduce useless changes before reassembly during logical replication |
Date: | 2024-01-18 09:17:18 |
Message-ID: | CAA4eK1+qVztg-noRzsHnAqrPgwNLb=YZC4Ri9EeUS6sdBdkfJw@mail.gmail.com |
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On Thu, Jan 18, 2024 at 12:12 PM Bharath Rupireddy
<bharath(dot)rupireddyforpostgres(at)gmail(dot)com> wrote:
>
> On Wed, Jan 17, 2024 at 11:45 AM li jie <ggysxcq(at)gmail(dot)com> wrote:
> >
> > Hi hackers,
> >
> > During logical replication, if there is a large write transaction, some
> > spill files will be written to disk, depending on the setting of
> > logical_decoding_work_mem.
> >
> > This behavior can effectively avoid OOM, but if the transaction
> > generates a lot of change before commit, a large number of files may
> > fill the disk. For example, you can update a TB-level table.
> >
> > However, I found an inelegant phenomenon. If the modified large table is not
> > published, its changes will also be written with a large number of spill files.
> > Look at an example below:
>
> Thanks. I agree that decoding and queuing the changes of unpublished
> tables' data into reorder buffer is an unnecessary task for walsender.
> It takes processing efforts (CPU overhead), consumes disk space and
> uses memory configured via logical_decoding_work_mem for a replication
> connection inefficiently.
>
This is all true but note that in successful cases (where the table is
published) all the work done by FilterByTable(accessing caches,
transaction-related stuff) can add noticeable overhead as anyway we do
that later in pgoutput_change(). I think I gave the same comment
earlier as well but didn't see any satisfactory answer or performance
data for successful cases to back this proposal. Note, users can
configure to stream_in_progress transactions in which case they
shouldn't see such a big problem. However, I agree that if we can find
some solution where there is no noticeable overhead then that would be
worth considering.
--
With Regards,
Amit Kapila.
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