Re: Postgresql replication - Mailing list pgsql-general

From William Yu
Subject Re: Postgresql replication
Date
Msg-id deivg4$ura$1@news.hub.org
Whole thread Raw
In response to Re: Postgresql replication  (Carlos Henrique Reimer <carlosreimer@yahoo.com.br>)
Responses Re: Postgresql replication  (Aly Dharshi <aly.dharshi@telus.net>)
Re: Postgresql replication  (Greg Stark <gsstark@mit.edu>)
Re: Postgresql replication  (William Yu <wyu@talisys.com>)
List pgsql-general
Carlos Henrique Reimer wrote:
> I read some documents about replication and realized that if you plan on
> using asynchronous replication, your application should be designed from
> the outset with that in mind because asynchronous replication is not
> something that can be easily “added on” after the fact.

Yes, it requires a lot foresight to do multi-master replication --
especially across high latency connections. I do that now for 2
different projects. We have servers across the country replicating data
every X minutes with custom app logic resolves conflicting data.

Allocation of unique IDs that don't collide across servers is a must.
For 1 project, instead of using numeric IDs, we using CHAR and
pre-append a unique server code so record #1 on server A is A0000000001
versus ?x0000000001 on other servers. For the other project, we were too
far along in development to change all our numerics into chars so we
wrote custom sequence logic to divide our 10billion ID space into
1-Xbillion for server 1, X-Ybillion for server 2, etc.

With this step taken, we then had to isolate (1) transactions could run
on any server w/o issue (where we always take the newest record), (2)
transactions required an amalgam of all actions and (3) transactions had
to be limited to "home" servers. Record keeping stuff where we keep a
running history of all changes fell into the first category. It would
have been no different than 2 users on the same server updating the same
object at different times during the day. Updating of summary data fell
into category #2 and required parsing change history of individual
elements. Category #3 would be financial transactions requiring strict
locks were be divided up by client/user space and restricted to the
user's home server. This case would not allow auto-failover. Instead, it
would require some prolonged threshold of downtime for a server before
full financials are allowed on backup servers.

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