Buffers & memorysenior🔒 Pro concept

BufferAccessStrategy ring buffers: why big seq scans/VACUUM/COPY don't trash shared_buffers

Simple terms

One big scan over a huge table could shove everybody else's cached pages out of memory. Postgres doesn't let it. A large sequential scan gets handed a small pool of buffers and told to reuse them, round and round, instead of claiming fresh cache for every page it touches. The scan still runs at full speed. It just leaves barely a dent, and the working set everyone else depends on is still sitting there warm when it finishes.

You might be asked

Why doesn't a large sequential scan (or VACUUM, or COPY) evict your entire shared_buffers cache? Explain BufferAccessStrategy ring buffers, when they kick in, how big they are, and how you'd prove it.

Topicbuffer manager / shared_buffers / IO strategy
PostgreSQL14, 15, 16, 17, 18
Tools usedDocker pgi17 (PostgreSQL 17.10), pg_buffercache + pg_buffercache_evict, source-cache @REL_17_10 (heapam.c, freelist.c)
Last reviewed2026-06-19

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