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postgres/src/backend/lib
Michael Paquier 1b105f9472 Use palloc_object() and palloc_array() in backend code
The idea is to encourage more the use of these new routines across the
tree, as these offer stronger type safety guarantees than palloc().
This batch of changes includes most of the trivial changes suggested by
the author for src/backend/.

A total of 334 files are updated here.  Among these files, 48 of them
have their build change slightly; these are caused by line number
changes as the new allocation formulas are simpler, shaving around 100
lines of code in total.

Similar work has been done in 0c3c5c3b06 and 31d3847a37.

Author: David Geier <geidav.pg@gmail.com>
Discussion: https://postgr.es/m/ad0748d4-3080-436e-b0bc-ac8f86a3466a@gmail.com
2025-12-10 07:36:46 +09:00
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This directory contains a general purpose data structures, for use anywhere
in the backend:

bipartite_match.c - Hopcroft-Karp maximum cardinality algorithm for bipartite graphs

bloomfilter.c - probabilistic, space-efficient set membership testing

dshash.c - concurrent hash tables backed by dynamic shared memory areas

hyperloglog.c - a streaming cardinality estimator

ilist.c - single and double-linked lists

integerset.c - a data structure for holding large set of integers

knapsack.c - knapsack problem solver

pairingheap.c - a pairing heap

rbtree.c - a red-black tree


Aside from the inherent characteristics of the data structures, there are a
few practical differences between the binary heap and the pairing heap. The
binary heap is fully allocated at creation, and cannot be expanded beyond the
allocated size. The pairing heap on the other hand has no inherent maximum
size, but the caller needs to allocate each element being stored in the heap,
while the binary heap works with plain Datums or pointers.

The linked-lists in ilist.c can be embedded directly into other structs, as
opposed to the List interface in nodes/pg_list.h.