Re: Logical replication prefetch
От | Amit Kapila |
---|---|
Тема | Re: Logical replication prefetch |
Дата | |
Msg-id | CAA4eK1K=GaZO6pten-7q9f4D5N_WExzgO+LoeutH-d0z8MAVCA@mail.gmail.com обсуждение исходный текст |
Ответ на | Re: Logical replication prefetch (Konstantin Knizhnik <knizhnik@garret.ru>) |
Список | pgsql-hackers |
On Sun, Jul 13, 2025 at 6:06 PM Konstantin Knizhnik <knizhnik@garret.ru> wrote: > > On 13/07/2025 1:28 pm, Amit Kapila wrote: > > On Tue, Jul 8, 2025 at 12:06 PM Konstantin Knizhnik <knizhnik@garret.ru> wrote: > >> There is well known Postgres problem that logical replication subscriber > >> can not caught-up with publisher just because LR changes are applied by > >> single worker and at publisher changes are made by > >> multiple concurrent backends. > >> > > BTW, do you know how users deal with this lag? For example, one can > > imagine creating multiple pub-sub pairs for different sets of tables > > so that the workload on the subscriber could also be shared by > > multiple apply workers. I can also think of splitting the workload > > among multiple pub-sub pairs by using row filters > > > Yes, I saw that users starts several subscriptions/publications to > receive and apply changes in parallel. > But it can not be considered as universal solution: > 1. Not always there are multiple tables (or partitions of one one table) > so that it it possible to split them between multiple publications. > 2. It violates transactional behavior (consistency): if transactions > update several tables included in different publications then applying > this changes independently, we can observe at replica behaviour when one > table is update - and another - not. The same is true for row filters. > 3. Each walsender will have to scan WAL, so having N subscriptions we > have to read and decode WAL N times. > I agree that it is not a solution which can be applied in all cases and neither I want to say that we shouldn't pursue the idea of prefetch or parallel apply to improve the speed of apply. It was just to know/discuss how users try to workaround lag for cases where the lag is large. -- With Regards, Amit Kapila.
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