Re: row filtering for logical replication
Tomas Vondra <tomas.vondra@enterprisedb.com>
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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 9/24/21 8:09 AM, Amit Kapila wrote: > On Thu, Sep 23, 2021 at 6:03 PM Tomas Vondra > <tomas.vondra@enterprisedb.com> wrote: >> >> 13) turning update into insert >> >> I agree with Ajin Cherian [4] that looking at just old or new row for >> updates is not the right solution, because each option will "break" the >> replica in some case. So I think the goal "keeping the replica in sync" >> is the right perspective, and converting the update to insert/delete if >> needed seems appropriate. >> >> This seems a somewhat similar to what pglogical does, because that may >> also convert updates (although only to inserts, IIRC) when handling >> replication conflicts. The difference is pglogical does all this on the >> subscriber, while this makes the decision on the publisher. >> >> I wonder if this might have some negative consequences, or whether >> "moving" this to downstream would be useful for other purposes in the >> fuure (e.g. it might be reused for handling other conflicts). >> > > Apart from additional traffic, I am not sure how will we handle all > the conditions on subscribers, say if the new row doesn't match, how > will subscribers know about this unless we pass row_filter or some > additional information along with tuple. Previously, I have done some > research and shared in one of the emails above that IBM's InfoSphere > Data Replication [1] performs filtering in this way which also > suggests that we won't be off here. > I'm certainly not suggesting what we're doing is wrong. Given the design of built-in logical replication it makes sense doing it this way, I was just thinking aloud about what we might want to do in the future (e.g. pglogical uses this to deal with conflicts between multiple sources, and so on). >> >> >> 15) pgoutput_row_filter initializing filter >> >> I'm not sure I understand why the filter initialization gets moved from >> get_rel_sync_entry. Presumably, most of what the replication does is >> replicating rows, so I see little point in not initializing this along >> with the rest of the rel_sync_entry. >> > > Sorry, IIRC, this has been suggested by me and I thought it was best > to do any expensive computation the first time it is required. I have > shared few cases like in [2] where it would lead to additional cost > without any gain. Unless I am missing something, I don't see any > downside of doing it in a delayed fashion. > Not sure, but the arguments presented there seem a bit wonky ... Yes, the work would be wasted if we discard the cached data without using it (it might happen for truncate, I'm not sure). But how likely is it that such operations happen *in isolation*? I'd bet the workload is almost never just a stream of truncates - there are always some operations in between that would actually use this. Similarly for the errors - IIRC hitting an error means the replication restarts, which is orders of magnitude more expensive than anything we can save by this delayed evaluation. I'd keep it simple, for the sake of simplicity of the whole patch. regards -- Tomas Vondra EnterpriseDB: http://www.enterprisedb.com The Enterprise PostgreSQL Company