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Postgres storage bottlenecks appear in a 3.3-billion-row workload

clickhouse.com 7 min read Editor score 8/10

A benchmark compares the same 3.3-billion-row PostgreSQL workload on baseline gp3 EBS and local NVMe, connecting storage performance to ingestion, latency, vacuum, checkpoint and replication problems. The proposed production patterns can inform how teams scale large database-backed systems.

What

A benchmark compares the same 3.3-billion-row PostgreSQL workload on baseline gp3 EBS and local NVMe.

How

As working sets outgrow memory and page cache, physical I/O and shared storage limits can make queries and maintenance delay one another.

Why it matters

Local NVMe can sharply reduce I/O cost for systems where queries, WAL, checkpoints, VACUUM, and decoding spills compete for storage capacity.

Read on clickhouse.com → Hacker News · 181 comments

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