Re: Postgresql replication

From: Aly Dharshi <aly(dot)dharshi(at)telus(dot)net>
To: William Yu <wyu(at)talisys(dot)com>
Cc: pgsql-general(at)postgresql(dot)org
Subject: Re: Postgresql replication
Date: 2005-08-25 00:46:34
Message-ID: 430D14EA.50502@telus.net
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I know I am wadding into this discussion as an beginner compared to the rest who
have answered this thread, but doesn't something like pgpool provide relief for
pseudo-multimaster replication, and what about software like sqlrelay wouldn't
these suites help to some extent ? Looking forward to be enlightened.

Cheers,

Aly.

William Yu wrote:
> 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.
>
> ---------------------------(end of broadcast)---------------------------
> TIP 6: explain analyze is your friend

--
Aly S.P Dharshi
aly(dot)dharshi(at)telus(dot)net

"A good speech is like a good dress
that's short enough to be interesting
and long enough to cover the subject"

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