Re: row filtering for logical replication
Amit Kapila <amit.kapila16@gmail.com>
Commits
GET /api/v1/messages/:b64id/commits
the thread's linked commits as JSON, with link sources.
API reference →
-
Release cache tuple when no longer needed
- ed0fbc8e5ac9 15.0 landed
-
Add some additional tests for row filters in logical replication.
- ceb57afd3ce1 15.0 landed
-
Fix one of the tests introduced in commit 52e4f0cd47.
- cfb4e209ec15 15.0 landed
-
Allow specifying row filters for logical replication of tables.
- 52e4f0cd472d 15.0 landed
-
Move scanint8() to numutils.c
- cfc7191dfea3 15.0 cited
-
Replace Test::More plans with done_testing
- 549ec201d613 15.0 cited
-
Reduce relcache access in WAL sender streaming logical changes
- 6ce16088bfed 15.0 cited
-
Small cleanups related to PUBLICATION framework code
- c9105dd3660f 15.0 cited
-
Add a view to show the stats of subscription workers.
- 8d74fc96db5f 15.0 cited
-
Allow publishing the tables of schema.
- 5a2832465fd8 15.0 cited
-
Doc: improve documentation of CREATE/ALTER SUBSCRIPTION.
- 1882d6cca161 15.0 cited
-
Add PublicationTable and PublicationRelInfo structs
- 0c6828fa987b 15.0 cited
-
Remove unused argument "txn" in maybe_send_schema().
- 93d573d86571 15.0 cited
-
Add prepare API support for streaming transactions in logical replication.
- 63cf61cdeb7b 15.0 cited
-
Unify PostgresNode's new() and get_new_node() methods
- 201a76183e20 15.0 cited
-
Use l*_node() family of functions where appropriate
- 2b00db4fb0c7 15.0 cited
-
Add support for prepared transactions to built-in logical replication.
- a8fd13cab0ba 15.0 cited
-
Restore the portal-level snapshot after procedure COMMIT/ROLLBACK.
- ef9480509622 11.13 cited
-
Rename a parse node to be more general
- 91d1f2d30210 14.0 landed
-
Remove unused column atttypmod from initial tablesync query
- 4ad31bb2ef25 14.0 landed
-
SEARCH and CYCLE clauses
- 3696a600e229 14.0 cited
On Tue, Sep 21, 2021 at 11:16 AM Dilip Kumar <dilipbalaut@gmail.com> wrote: > > On Tue, Sep 21, 2021 at 10:41 AM Amit Kapila <amit.kapila16@gmail.com> wrote: > > > I think the point is if for some expression some > > values are in old tuple and others are in new then the idea proposed > > in the patch seems sane. Moreover, I think in your idea for each tuple > > we might need to build a new expression and sometimes twice that will > > beat the purpose of cache we have kept in the patch and I am not sure > > if it is less costly. > > Basically, expression initialization should happen only once in most > cases so with my suggestion you might have to do it twice. > No, the situation will be that we might have to do it twice per update where as now, it is just done at the very first operation on a relation. > But the > overhead of extra expression evaluation is far less than doing > duplicate evaluation because that will happen for sending each update > operation right? > Expression evaluation has to be done twice because every update can have a different set of values in the old and new tuple. > > See another example where splitting filter might not give desired results: > > > > Say filter expression: (a = 10 and b = 20 and c = 30) > > > > Now, old_tuple has values for columns a and c and say values are 10 > > and 30. So, the old_tuple will match the filter if we split it as per > > your suggestion. Now say new_tuple has values (a = 5, b = 15, c = 25). > > In such a situation dividing the filter will give us the result that > > the old_tuple is matching but new tuple is not matching which seems > > incorrect. I think dividing filter conditions among old and new tuples > > might not retain its sanctity. > > Yeah that is a good example to apply a duplicate filter, basically > some filters might not even get evaluated on new tuples as the above > example and if we have removed such expression on the other tuple we > might break something. > Right. > Maybe for now this suggest that we might not > be able to avoid the duplicate execution of the expression > So, IIUC, you agreed that let's proceed with the proposed approach and we can later do optimizations if possible or if we get better ideas. > > > > > > > > Even if it were done, there would still be the overhead of deforming the tuple. > > > > > > Suppose filter is just (a > 10 and b < 20) and only if the a is > > > updated, and if we are able to modify the filter for the oldtuple to > > > be just (a>10) then also do we need to deform? > > > > > > > Without deforming, how will you determine which columns are part of > > the old tuple? > > Okay, then we might have to deform, but at least are we ensuring that > once we have deform the tuple for the expression evaluation then we > are not doing that again while sending the tuple? > I think this is possible but we might want to be careful not to send extra unchanged values as we are doing now. -- With Regards, Amit Kapila.