Re: Is there way to detect uncommitted 'new table' in pg_class?

From: Michael Paquier <michael(at)paquier(dot)xyz>
To: Robert Haas <robertmhaas(at)gmail(dot)com>
Cc: Hubert Zhang <hzhang(at)pivotal(dot)io>, "pgsql-hackers(at)postgresql(dot)org" <pgsql-hackers(at)postgresql(dot)org>
Subject: Re: Is there way to detect uncommitted 'new table' in pg_class?
Date: 2018-11-01 00:38:35
Message-ID: 20181101003835.GC1727@paquier.xyz
Views: Raw Message | Whole Thread | Download mbox | Resend email
Thread:
Lists: pgsql-hackers

On Wed, Oct 31, 2018 at 01:30:52PM -0400, Robert Haas wrote:
> In theory, at least, you could write C code to scan the catalog tables
> with SnapshotDirty to find the catalog entries, but I don't think that
> helps a whole lot. You couldn't necessarily rely on those catalog
> entries to be in a consistent state, and even if they were, they might
> depend on committed types or functions or similar whose definitions
> your backend can't see. Moreover, the creating backend will have an
> AccessExclusiveLock on the table -- if you write C code to bypass that
> and read the data anyway, then you will probably destabilize the
> entire system for complicated reasons that I don't feel like
> explaining right now.

One take here is that we cannot give any guarantee that a single DDL
will create only one consistent version of the tuple added in system
catalogs. In those cases a new version is made visible by using
CommandCounterIncrement() so as the follow-up processing can see it.

> You should try very hard to find some way of solving this problem that
> doesn't require reading data from a table that hasn't been committed
> yet, because you are almost certainly not going to be able to make
> that work reliably even if you are willing to write code in C.

+1.
--
Michael

In response to

Responses

Browse pgsql-hackers by date

  From Date Subject
Next Message David Fetter 2018-11-01 00:41:55 Re: COPY FROM WHEN condition
Previous Message Amit Langote 2018-11-01 00:35:30 Re: Speeding up INSERTs and UPDATEs to partitioned tables