Re: Skipping logical replication transactions on subscriber side

On Wed, Nov 3, 2021 at 12:41 PM Amit Kapila <amit.kapila16@gmail.com> wrote:
>
> On Tue, Nov 2, 2021 at 2:17 PM Masahiko Sawada <sawada.mshk@gmail.com> wrote:
> >
> > On Tue, Nov 2, 2021 at 2:35 PM Amit Kapila <amit.kapila16@gmail.com> wrote:
> > >
> > > On Mon, Nov 1, 2021 at 7:18 AM Masahiko Sawada <sawada.mshk@gmail.com> wrote:
> > > >
> > > > On Fri, Oct 29, 2021 at 8:20 PM Amit Kapila <amit.kapila16@gmail.com> wrote:
> > > > >
> > > > >
> > > > > Fair enough. So statistics can be removed either by vacuum or drop
> > > > > subscription. Also, if we go by this logic then there is no harm in
> > > > > retaining the stat entries for tablesync errors. Why have different
> > > > > behavior for apply and tablesync workers?
> > > >
> > > > My understanding is that the subscription worker statistics entry
> > > > corresponds to workers (but not physical workers since the physical
> > > > process is changed after restarting). So if the worker finishes its
> > > > jobs, it is no longer necessary to show errors since further problems
> > > > will not occur after that. Table sync worker’s job finishes when
> > > > completing table copy (unless table sync is performed again by REFRESH
> > > > PUBLICATION) whereas apply worker’s job finishes when the subscription
> > > > is dropped.
> > > >
> > >
> > > Actually, I am not very sure how users can use the old error
> > > information after we allowed skipping the conflicting xid. Say, if
> > > they want to add/remove some constraints on the table based on
> > > previous errors then they might want to refer to errors of both the
> > > apply worker and table sync worker.
> >
> > I think that in general, statistics should be retained as long as a
> > corresponding object exists on the database, like other cumulative
> > statistic views. So I’m concerned that an entry of a cumulative stats
> > view is automatically removed by a non-stats-related function (i.g.,
> > ALTER SUBSCRIPTION SKIP). Which seems a new behavior for cumulative
> > stats views.
> >
> > We can retain the stats entries for table sync worker but what I want
> > to avoid is that the view shows many old entries that will never be
> > updated. I've sometimes seen cases where the user mistakenly restored
> > table data on the subscriber before creating a subscription, failed
> > table sync on many tables due to unique violation, and truncated
> > tables on the subscriber. I think that unlike the stats entries for
> > apply worker, retaining the stats entries for table sync could be
> > harmful since it’s likely to be a large amount (even hundreds of
> > entries). Especially, it could lead to bloat the stats file since it
> > has an error message. So if we do that, I'd like to provide a function
> > for users to remove (not reset) stats entries manually.
> >
>
> If we follow the idea of keeping stats at db level (in
> PgStat_StatDBEntry) as discussed above then I think we already have a
> way to remove stat entries via pg_stat_reset which removes the stats
> corresponding to tables, functions and after this patch corresponding
> to subscriptions as well for the current database. Won't that be
> sufficient? I see your point but I think it may be better if we keep
> the same behavior for stats of apply and table sync workers.

Make sense.

>
> Following the tables, functions, I thought of keeping the name of the
> reset function similar to "pg_stat_reset_single_table_counters" but I
> feel the currently used name "pg_stat_reset_subscription_worker" in
> the patch is better. Do let me know what you think?

Yeah, I also tend to prefer pg_stat_reset_subscription_worker name
since "single" isn't clear in the context of subscription worker.  And
the behavior of the reset function for subscription workers is also
different from pg_stat_reset_single_xxx_counters.

I've attached an updated patch. In this version patch, subscription
worker statistics are collected per-database and handled in a similar
way to tables and functions. I think perhaps we still need to discuss
details of how the statistics should be handled but I'd like to share
the patch for discussion.

Regards,

--
Masahiko Sawada
EDB:  https://www.enterprisedb.com/