Re: Transactions involving multiple postgres foreign servers

From: Robert Haas <robertmhaas(at)gmail(dot)com>
To: Ashutosh Bapat <ashutosh(dot)bapat(at)enterprisedb(dot)com>
Cc: Masahiko Sawada <sawada(dot)mshk(at)gmail(dot)com>, Vinayak Pokale <pokale_vinayak_q3(at)lab(dot)ntt(dot)co(dot)jp>, PostgreSQL-development <pgsql-hackers(at)postgresql(dot)org>
Subject: Re: Transactions involving multiple postgres foreign servers
Date: 2017-07-31 16:40:29
Message-ID: CA+TgmoZeZDy=9yEyW88odUfpuk1bO+qv7EOZX6rwfCVERmuOkg@mail.gmail.com
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On Thu, Jul 27, 2017 at 8:25 AM, Ashutosh Bapat
<ashutosh(dot)bapat(at)enterprisedb(dot)com> wrote:
> The remote transaction can be committed/aborted only after the fate of
> the local transaction is decided. If we commit remote transaction and
> abort local transaction, that's not good. AtEOXact* functions are
> called immediately after that decision in post-commit/abort phase. So,
> if we want to commit/abort the remote transaction immediately it has
> to be done in post-commit/abort processing. Instead if we delegate
> that to the remote transaction resolved backend (introduced by the
> patches) the delay between local commit and remote commits depends
> upon when the resolve gets a chance to run and process those
> transactions. One could argue that that delay would anyway exist when
> post-commit/abort processing fails to resolve remote transaction. But
> given the real high availability these days, in most of the cases
> remote transaction will be resolved in the post-commit/abort phase. I
> think we should optimize for most common case. Your concern is still
> valid, that we shouldn't raise an error or do anything critical in
> post-commit/abort phase. So we should device a way to send
> COMMIT/ABORT prepared messages to the remote server in asynchronous
> fashion carefully avoiding errors. Recent changes to 2PC have improved
> performance in that area to a great extent. Relying on resolver
> backend to resolve remote transactions would erode that performance
> gain.

I think there are two separate but interconnected issues here. One is
that if we give the user a new command prompt without resolving the
remote transaction, then they might run a new query that sees their
own work as committed, which would be bad. Or, they might commit,
wait for the acknowledgement, and then tell some other session to go
look at the data, and find it not there. That would also be bad. I
think the solution is likely to do something like what we did for
synchronous replication in commit
9a56dc3389b9470031e9ef8e45c95a680982e01a -- wait for the remove
transaction to be resolved (by the background process) but allow an
interrupt to escape the wait-loop.

The second issue is that having the resolver resolve transactions
might be slower than doing it in the foreground. I don't necessarily
see a reason why that should be a big problem. I mean, the resolver
might need to establish a separate connection, but if it keeps that
connection open for a while (say, 5 minutes) in case further
transactions arrive then it won't be an issue except on really
low-volume system which isn't really a case I think we need to worry
about very much. Also, the hand-off to the resolver might take some
time, but that's equally true for sync rep and we're living with it
there. Anything else is presumably just the resolver itself being
inefficient which seems like something that can simply be fixed.

FWIW, I don't think the present resolver implementation is likely to
be what we want. IIRC, it's just calling an SQL function which
doesn't seem like a good approach. Ideally we should stick an entry
into a shared memory queue and then ping the resolver via SetLatch,
and it can directly invoke an FDW method on the data from the shared
memory queue. It should be possible to set things up so that a user
who wishes to do so can run multiple copies of the resolver thread at
the same time, which would be a good way to keep latency down if the
system is very busy with distributed transactions.

--
Robert Haas
EnterpriseDB: http://www.enterprisedb.com
The Enterprise PostgreSQL Company

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