Re: row filtering for logical replication
Amit Kapila <amit.kapila16@gmail.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 Mon, Jul 19, 2021 at 7:02 PM Tomas Vondra <tomas.vondra@enterprisedb.com> wrote: > > On 7/19/21 1:00 PM, Dilip Kumar wrote: > > On Mon, Jul 19, 2021 at 3:12 PM Amit Kapila <amit.kapila16@gmail.com> wrote: > >> a. Just log it and move to the next row > >> b. send to stats collector some info about this which can be displayed > >> in a view and then move ahead > >> c. just skip it like any other row that doesn't match the filter clause. > >> > >> I am not sure if there is any use of sending a row if one of the > >> old/new rows doesn't match the filter. Because if the old row doesn't > >> match but the new one matches the criteria, we will anyway just throw > >> such a row on the subscriber instead of applying it. > > > > But at some time that will be true even if we skip the row based on > > (a) or (c) right. Suppose the OLD row was not satisfying the > > condition but the NEW row is satisfying the condition, now even if we > > skip this operation then in the next operation on the same row even if > > both OLD and NEW rows are satisfying the filter the operation will > > just be dropped by the subscriber right? because we did not send the > > previous row when it first updated to value which were satisfying the > > condition. So basically, any row is inserted which did not satisfy > > the condition first then post that no matter how many updates we do to > > that row either it will be skipped by the publisher because the OLD > > row was not satisfying the condition or it will be skipped by the > > subscriber as there was no matching row. > > > > I have a feeling it's getting overly complicated, to the extent that > it'll be hard to explain to users and reason about. I don't think > there's a "perfect" solution for cases when the filter expression gives > different answers for old/new row - it'll always be surprising for some > users :-( > It is possible but OTOH, the three replication solutions (Debezium, Oracle, IBM's InfoSphere Data Replication) which have this feature seems to filter based on both old and new rows in one or another way. Also, I am not sure if the simple approach of just filter based on the new row is very clear because it can also confuse users in a way that even if all the new rows matches the filters, they don't see anything on the subscriber and in fact, that can cause a lot of network overhead without any gain. > So maybe the best thing is to stick to the simple approach already used > e.g. by pglogical, which simply user the new row when available (insert, > update) and old one for deletes. > > I think that behaves more or less sensibly and it's easy to explain. > Okay, if nothing better comes up, then we can fall back to this option. > All the other things (e.g. turning UPDATE to INSERT, advanced conflict > resolution etc.) will require a lot of other stuff, > I have not evaluated this yet but I think spending some time thinking about turning Update to Insert/Delete (yesterday's suggestion by Alvaro) might be worth especially as that seems to be followed by some other replication solution as well. >and I see them as > improvements of this simple approach. > > >>> Maybe a second option is to have replication change any UPDATE into > >>> either an INSERT or a DELETE, if the old or the new row do not pass the > >>> filter, respectively. That way, the databases would remain consistent. > > > > Yeah, I think this is the best way to keep the data consistent. > > > > It'd also require REPLICA IDENTITY FULL, which seems like it'd add a > rather significant overhead. > Why? I think it would just need similar restrictions as we are planning for Delete operation such that filter columns must be either present in primary or replica identity columns. -- With Regards, Amit Kapila.