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author | Tom Lane <tgl@sss.pgh.pa.us> | 2023-01-15 17:32:09 -0500 |
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committer | Tom Lane <tgl@sss.pgh.pa.us> | 2023-01-15 17:32:09 -0500 |
commit | db9127c58cbaa748d00055ce10c6bf50a7fbcc1e (patch) | |
tree | 82ddf52ae2f160758557a9b34550113f77c62a09 /src/backend/executor/nodeFunctionscan.c | |
parent | a8f7687a0b8645697b48cc40fd1a73d455d0c1fc (diff) | |
download | postgresql-db9127c58cbaa748d00055ce10c6bf50a7fbcc1e.tar.gz postgresql-db9127c58cbaa748d00055ce10c6bf50a7fbcc1e.zip |
Remove arbitrary FUNC_MAX_ARGS limit in int2vectorin and oidvectorin.
int2vectorin limited the number of array elements it'd take to
FUNC_MAX_ARGS, which is probably fine for the traditional use-cases.
But now that pg_publication_rel.prattrs is an int2vector, it's not
fine at all: it's easy to construct cases where that can have up to
about MaxTupleAttributeNumber entries. Trying to replicate such
tables leads to logical-replication failures.
As long as we have to touch this code anyway, let's just remove
the a-priori limit altogether, and let it accept any size that'll
be allowed by repalloc. (Note that since int2vector isn't toastable,
we cannot store arrays longer than about BLCKSZ/2; but there is no
good excuse for letting int2vectorin depend on that. Perhaps we
will lift the no-toast restriction someday.)
While at it, also improve the equivalent logic in oidvectorin.
I don't know of any practical use-case for long oidvectors right
now, but doing it right actually makes the code shorter.
Per report from Erik Rijkers. Back-patch to v15 where
pg_publication_rel.prattrs was added.
Discussion: https://postgr.es/m/668ba539-33c5-8190-ca11-def2913cb94b@xs4all.nl
Diffstat (limited to 'src/backend/executor/nodeFunctionscan.c')
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