From: | Andres Freund <andres(at)anarazel(dot)de> |
---|---|
To: | Ashutosh Bapat <ashutosh(dot)bapat(dot)oss(at)gmail(dot)com> |
Cc: | Michael Paquier <michael(at)paquier(dot)xyz>, vignesh C <vignesh21(at)gmail(dot)com>, Masahiko Sawada <sawada(dot)mshk(at)gmail(dot)com>, Robert Haas <robertmhaas(at)gmail(dot)com>, Kyotaro Horiguchi <horikyota(dot)ntt(at)gmail(dot)com>, wangsh(dot)fnst(at)fujitsu(dot)com, osumi(dot)takamichi(at)fujitsu(dot)com, pgsql-bugs(at)lists(dot)postgresql(dot)org |
Subject: | Re: "unexpected duplicate for tablespace" problem in logical replication |
Date: | 2025-09-18 12:22:58 |
Message-ID: | ot6apoeofiko6ienwx5b3aavsbru7yf76bjk5hdqj2cj53n5lm@hdwcrgek5j5y |
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Hi,
On 2025-09-18 08:17:49 -0400, Andres Freund wrote:
> On 2025-09-18 17:37:10 +0530, Ashutosh Bapat wrote:
> > From 6a3562b4ac8917c8b577797e5468416a90cc04f5 Mon Sep 17 00:00:00 2001
> > From: Ashutosh Bapat <ashutosh(dot)bapat(dot)oss(at)gmail(dot)com>
> > Date: Thu, 18 Sep 2025 17:24:09 +0530
> > Subject: [PATCH] Negative RelfilenumberMap cache entries from
> > pg_filenode_relation()
> >
> > RelidByRelfilenumber() adds negative entries to the cache. It has three
> > users, logical replication, autoprewarm and pg_filenode_relation(). The
> > first two need negative entries in the cache in case they happen to
> > lookup non-existent mapping again and again. However such mappings will
> > be smaller in number and usually come from some database object e.g. WAL
> > or autoprewarm metadata.
> >
> > But pg_filenode_relation(), which is SQL callable, may be invoked many
> > times with invalid tablespace and relfilenode pairs, causing the cache
> > to be bloated with negative cache entries. This can be used as a denial
> > of service attack since any user can execute it. This commit avoids such
> > a bloat.
>
> I don't really understand why this is worth fixing for the relfilenode stuff
> specifically - isn't this true for just about *all* of our caches? Many, if
> not most, can be reached via SQL?
Example:
postgres[315631][1]=# SELECT count(*), sum(total_bytes) total_bytes, sum(total_nblocks) total_nblocks, sum(free_bytes) free_bytes, sum(free_chunks) free_chunks, sum(used_bytes) used_bytes FROM pg_backend_memory_contexts WHERE path @> (SELECT path FROM pg_backend_memory_contexts WHERE name = 'CacheMemoryContext');
┌───────┬─────────────┬───────────────┬────────────┬─────────────┬────────────┐
│ count │ total_bytes │ total_nblocks │ free_bytes │ free_chunks │ used_bytes │
├───────┼─────────────┼───────────────┼────────────┼─────────────┼────────────┤
│ 89 │ 747200 │ 187 │ 130336 │ 216 │ 616864 │
└───────┴─────────────┴───────────────┴────────────┴─────────────┴────────────┘
(1 row)
Time: 1.540 ms
postgres[315631][1]=# SELECT to_regclass(g.i::text||'.'||g.i::text) is NULL, count(*) FROM generate_series(1, 10000000) g(i) GROUP BY 1;
┌──────────┬──────────┐
│ ?column? │ count │
├──────────┼──────────┤
│ t │ 10000000 │
└──────────┴──────────┘
(1 row)
Time: 23238.662 ms (00:23.239)
postgres[315631][1]=# SELECT count(*), sum(total_bytes) total_bytes, sum(total_nblocks) total_nblocks, sum(free_bytes) free_bytes, sum(free_chunks) free_chunks, sum(used_bytes) used_bytes FROM pg_backend_memory_contexts WHERE path @> (SELECT path FROM pg_backend_memory_contexts WHERE name = 'CacheMemoryContext');
┌───────┬─────────────┬───────────────┬────────────┬─────────────┬────────────┐
│ count │ total_bytes │ total_nblocks │ free_bytes │ free_chunks │ used_bytes │
├───────┼─────────────┼───────────────┼────────────┼─────────────┼────────────┤
│ 89 │ 2223205104 │ 441 │ 8331448 │ 472 │ 2214873656 │
└───────┴─────────────┴───────────────┴────────────┴─────────────┴────────────┘
(1 row)
There are so so so many ways to cause arbitrarily large memory usage,
e.g. just by definining a lot of prepared statements, that I just don't see it
worth adding any complexity to the relfilenode case specifically.
Greetings,
Andres Freund
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