Re: bogus: logical replication rows/cols combinations - Mailing list pgsql-hackers

From Tomas Vondra
Subject Re: bogus: logical replication rows/cols combinations
Date
Msg-id 5a85b8b7-fc1c-364b-5c62-0bb3e1e25824@enterprisedb.com
Whole thread Raw
In response to Re: bogus: logical replication rows/cols combinations  (Amit Kapila <amit.kapila16@gmail.com>)
Responses Re: bogus: logical replication rows/cols combinations
Re: bogus: logical replication rows/cols combinations
List pgsql-hackers

On 4/28/22 05:17, Amit Kapila wrote:
> On Thu, Apr 28, 2022 at 3:26 AM Tomas Vondra
> <tomas.vondra@enterprisedb.com> wrote:
>>
>> so I've been looking at tweaking the code so that the behavior matches
>> Alvaro's expectations. It passes check-world but I'm not claiming it's
>> nowhere near commitable - the purpose is mostly to give better idea of
>> how invasive the change is etc.
>>
> 
> I was just skimming through the patch and didn't find anything related
> to initial sync handling. I feel the behavior should be same for
> initial sync and replication.
> 

Yeah, sorry for not mentioning that - my goal was to explore and try
getting the behavior in regular replication right first, before
attempting to do the same thing in tablesync.

Attached is a patch doing the same thing in tablesync. The overall idea
is to generate copy statement with CASE expressions, applying filters to
individual columns. For Alvaro's example, this generates something like

  SELECT
    (CASE WHEN (a < 0) OR (a > 0) THEN a ELSE NULL END) AS a,
    (CASE WHEN (a > 0) THEN b ELSE NULL END) AS b,
    (CASE WHEN (a < 0) THEN c ELSE NULL END) AS c
  FROM uno WHERE (a < 0) OR (a > 0)

And that seems to work fine. Similarly to regular replication we have to
use both the "total" column list (union of per-publication lists) and
per-publication (row filter + column list), but that's expected.

There's a couple options how we might optimize this for common cases.
For example if there's just a single publication, there's no need to
generate the CASE expressions - the WHERE filter will do the trick.



regards

-- 
Tomas Vondra
EnterpriseDB: http://www.enterprisedb.com
The Enterprise PostgreSQL Company
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