Re: row filtering for logical replication
Tomas Vondra <tomas.vondra@enterprisedb.com>
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API reference →
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Release cache tuple when no longer needed
- ed0fbc8e5ac9 15.0 landed
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Add some additional tests for row filters in logical replication.
- ceb57afd3ce1 15.0 landed
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Fix one of the tests introduced in commit 52e4f0cd47.
- cfb4e209ec15 15.0 landed
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Allow specifying row filters for logical replication of tables.
- 52e4f0cd472d 15.0 landed
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Move scanint8() to numutils.c
- cfc7191dfea3 15.0 cited
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Replace Test::More plans with done_testing
- 549ec201d613 15.0 cited
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Reduce relcache access in WAL sender streaming logical changes
- 6ce16088bfed 15.0 cited
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Small cleanups related to PUBLICATION framework code
- c9105dd3660f 15.0 cited
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Add a view to show the stats of subscription workers.
- 8d74fc96db5f 15.0 cited
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Allow publishing the tables of schema.
- 5a2832465fd8 15.0 cited
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Doc: improve documentation of CREATE/ALTER SUBSCRIPTION.
- 1882d6cca161 15.0 cited
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Add PublicationTable and PublicationRelInfo structs
- 0c6828fa987b 15.0 cited
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Remove unused argument "txn" in maybe_send_schema().
- 93d573d86571 15.0 cited
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Add prepare API support for streaming transactions in logical replication.
- 63cf61cdeb7b 15.0 cited
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Unify PostgresNode's new() and get_new_node() methods
- 201a76183e20 15.0 cited
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Use l*_node() family of functions where appropriate
- 2b00db4fb0c7 15.0 cited
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Add support for prepared transactions to built-in logical replication.
- a8fd13cab0ba 15.0 cited
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Restore the portal-level snapshot after procedure COMMIT/ROLLBACK.
- ef9480509622 11.13 cited
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Rename a parse node to be more general
- 91d1f2d30210 14.0 landed
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Remove unused column atttypmod from initial tablesync query
- 4ad31bb2ef25 14.0 landed
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SEARCH and CYCLE clauses
- 3696a600e229 14.0 cited
On 7/16/21 5:26 AM, Amit Kapila wrote: > On Wed, Jul 14, 2021 at 4:30 PM Dilip Kumar <dilipbalaut@gmail.com> wrote: >> >> On Wed, Jul 14, 2021 at 3:58 PM Tomas Vondra >> <tomas.vondra@enterprisedb.com> wrote: >>> >>> Is there some reasonable rule which of the old/new tuples (or both) to >>> use for the WHERE condition? Or maybe it'd be handy to allow referencing >>> OLD/NEW as in triggers? >> >> I think for insert we are only allowing those rows to replicate which >> are matching filter conditions, so if we updating any row then also we >> should maintain that sanity right? That means at least on the NEW rows >> we should apply the filter, IMHO. Said that, now if there is any row >> inserted which were satisfying the filter and replicated, if we update >> it with the new value which is not satisfying the filter then it will >> not be replicated, I think that makes sense because if an insert is >> not sending any row to a replica which is not satisfying the filter >> then why update has to do that, right? >> > > There is another theory in this regard which is what if the old row > (created by the previous insert) is not sent to the subscriber as that > didn't match the filter but after the update, we decide to send it > because the updated row (new row) matches the filter condition. In > this case, I think it will generate an update conflict on the > subscriber as the old row won't be present. As of now, we just skip > the update but in the future, we might have some conflict handling > there. Right. > If this is true then even if the new row matches the filter, > there is no guarantee that it will be applied on the subscriber-side > unless the old row also matches the filter. Sure, there could be a > case where the user might have changed the filter between insert and > update but maybe we can have a separate way to deal with such cases if > required like providing some provision where the user can specify > whether it would like to match old/new row in updates? > I think the best we can do for now is to document this. AFAICS it can't be solved without a conflict resolution that would turn the UPDATE to INSERT. And that would require REPLICA IDENTITY FULL, otherwise the UPDATE would not have data for all the columns. regards -- Tomas Vondra EnterpriseDB: http://www.enterprisedb.com The Enterprise PostgreSQL Company