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Thread: master and slave at same time

master and slave at same time

From
Yambu
Date:
Hello

Is it possible to make one server act as master and as a slave at the same time?

This will mean writes are permitted on it.

regards

Re: master and slave at same time

From
Atul Kumar
Date:
You can use 2 different ports and create 2 instances.

One can act as master and another as slave.

But slave never allow write operation on itself.

If you want both servers to accept write transaction then you should use BDR (postgres) or MMR (Enterprisedb).



Regards 
Atul





On Wednesday, January 6, 2021, Yambu <hyambu@gmail.com> wrote:
Hello

Is it possible to make one server act as master and as a slave at the same time?

This will mean writes are permitted on it.

regards

Re: master and slave at same time

From
Yambu
Date:
If i use logical replication , can i not make it work?

On Wed, Jan 6, 2021 at 3:27 PM Atul Kumar <akumar14871@gmail.com> wrote:
You can use 2 different ports and create 2 instances.

One can act as master and another as slave.

But slave never allow write operation on itself.

If you want both servers to accept write transaction then you should use BDR (postgres) or MMR (Enterprisedb).



Regards 
Atul





On Wednesday, January 6, 2021, Yambu <hyambu@gmail.com> wrote:
Hello

Is it possible to make one server act as master and as a slave at the same time?

This will mean writes are permitted on it.

regards

Re: master and slave at same time

From
Michael Banck
Date:
On Wed, Jan 06, 2021 at 03:31:32PM +0200, Yambu wrote:
> If i use logical replication , can i not make it work?

Well yes, you can write to the subscriber if you use logical
replication.

However, there are severe drawbacks in this, e.g. you will have to
resolve conflicts yourself, DDL isn't possible unless you do it
manually, sequences are not replicated etc. pp.

Logical replication for itself is not a general HA tool for Postgres
right now but if implemented carefully can be used for some use cases
like merging several databases into a data warehouse or carefully only
changing data locally.


Michael

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