Re: row filtering for logical replication
Amit Kapila <amit.kapila16@gmail.com>
Commits
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the thread's linked commits as JSON, with link sources.
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 Fri, Dec 17, 2021 at 1:50 PM Ajin Cherian <itsajin@gmail.com> wrote: > > On Fri, Dec 17, 2021 at 5:46 PM Greg Nancarrow <gregn4422@gmail.com> wrote: > > > So using the v47 patch-set, I still find that the UPDATE above results in publication of an INSERT of (2,1), rather than an UPDATE of (1,1) to (2,1). > > This is according to the 2nd UPDATE rule below, from patch 0003. > > > > + * old-row (no match) new-row (no match) -> (drop change) > > + * old-row (no match) new row (match) -> INSERT > > + * old-row (match) new-row (no match) -> DELETE > > + * old-row (match) new row (match) -> UPDATE > > > > This is because the old row (1,1) doesn't match the UPDATE filter "(a>1)", but the new row (2,1) does. > > This functionality doesn't seem right to me. I don't think it can be assumed that (1,1) was never published (and thus requires an INSERT rather than UPDATE) based on these checks, because in this example, (1,1) was previously published via a different operation - INSERT (and using a different filter too). > > I think the fundamental problem here is that these UPDATE rules assume that the old (current) row was previously UPDATEd (and published, or not published, according to the filter applicable to UPDATE), but this is not necessarily the case. > > Or am I missing something? > > But it need not be correct in assuming that the old-row was part of a > previous INSERT either (and published, or not published according to > the filter applicable to an INSERT). > For example, change the sequence of inserts and updates prior to the > last update: > > truncate tbl1 ; > insert into tbl1 values (1,5); ==> not replicated since insert and ! (b < 2); > update tbl1 set b = 1; ==> not replicated since update and ! (a > 1) > update tbl1 set a = 2; ==> replicated and update converted to insert > since (a > 1) > > In this case, the last update "update tbl1 set a = 2; " is updating a > row that was previously updated and not inserted and not replicated to > the subscriber. > How does the replication logic differentiate between these two cases, > and decide if the update was previously published or not? > I think it's futile for the publisher side to try and figure out the > history of published rows. > I also think so. One more thing, even if we want we might not be able to apply the insert filter as the corresponding values may not be logged. -- With Regards, Amit Kapila.