From: | Bharath Rupireddy <bharath(dot)rupireddyforpostgres(at)gmail(dot)com> |
---|---|
To: | japin <japinli(at)hotmail(dot)com> |
Cc: | vignesh C <vignesh21(at)gmail(dot)com>, Amit Kapila <amit(dot)kapila16(at)gmail(dot)com>, PostgreSQL Hackers <pgsql-hackers(at)lists(dot)postgresql(dot)org> |
Subject: | Re: Added schema level support for publication. |
Date: | 2021-01-11 09:06:51 |
Message-ID: | CALj2ACWP7GdtbDwdRDWxt3-11uqfEL_6gftiXwd-QE+x0D-nLw@mail.gmail.com |
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Lists: | pgsql-hackers |
On Mon, Jan 11, 2021 at 1:29 PM japin <japinli(at)hotmail(dot)com> wrote:
> >> > Say a user has created a publication for a schema with hundreds of
> >> > tables in it, at some point later, can he stop replicating a single or
> >> > some tables from that schema?
> >> >
> >>
> >> There is no provision for this currently.
> >
> > The documentation [1] says, we can ALTER PUBLICATION testpub DROP
> > TABLE t1; which removes the table from the list of published tables,
> > but looks like it requires ALTER SUBSCRIPTION testsub REFRESH
> > PUBLICATION; for the changes to become effective on the subscriber. I
> > have done some testing for this case:
> > 1) created publication for table t1, see \d+ t1, the associated
> > publication is visible in the output
> > 2) created subscription on the subscriber, initial available data from
> > the publisher for table t1 is received
> > 3) insert into table t1 on the publisher
> > 4) inserted data in (3) is received in the subscriber table t1
> > 5) alter publication to drop the table t1 on the publisher, see \d+
> > t1, there will not be any associated publication in the output
> > 6) execute alter subscription refresh publication on the subscriber,
> > with the expectation that it should not receive the data from the
> > publisher for the table t1 since it's dropped from the publication in
> > (5)
> > 7) insert into table t1 on the publisher
> > 8) still the newly inserted data in (7) from the publisher, will be
> > received into the table t1 in the subscriber
> >
> > IIUC, the behaviour of ALTER PUBLICATION DROP TABLE from the docs and
> > the above use case, it looks like a bug to me. If I'm wrong, can
> > someone correct me?
> >
>
> Yes, if we modify the publication, we should refresh the subscription on
> each subscriber. It looks strange for me, especially for partitioned
> tables [1].
>
> > Thoughts?
> >
>
> Can we trace the different between publication and subscription, and
> auto-refresh subscription on subscriber?
>
> [1]
> https://www.postgresql.org/message-id/flat/1D6DCFD2-0F44-4A18-BF67-17C2697B1631%40hotmail.com
As Amit stated in your thread [1], DDLs like creation of the new
tables or partitions, schema changes etc. on the publisher can not be
replicated automatically by the logical replication framework to the
subscriber. Users have to perform those DDLs on the subscribers by
themselves.
If your point is to at least issue the ALTER SUBSCRIPTION testsub
REFRESH PUBLICATION; from the publication whenever the publication is
altered i.e. added or dropped tables, IMO, we cannot do this, because
running this command on the subscriber only makes sense, after user
runs the same DDLs (which were run on the publisher) also on the
subscriber. To illustrate this:
1) create a new table or partition on the publisher and add it to
publisher, note that the same table has not yet been created on the
subscriber
2) imagine the publisher issuing an auto refresh command to all the
subscribers, then, no point in that right, because the new table or
the partition is not yet created on all the subscribers.
So, IMO, we can not have an auto refresh mechanism, until we have the
feature to replicate the DDL changes to all the subscribers.
What I stated in my earlier mail [1] is that even though we drop the
table from the publication in the publisher and run a refresh
publication on the subscriber, still the data is being replicated from
the publisher to the subscriber table. I just wanted to know whether
this is the expected behaviour or what exactly means. a user running
ALTER PUBLICATION mypub DROP TABLE mytable;
With Regards,
Bharath Rupireddy.
EnterpriseDB: http://www.enterprisedb.com
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