database-performance

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#database-performance

How Postgres DELETE can actually scale

Hacker News Top ↗ · 2026-10-15 Cached

DBOS explains how Postgres DELETE can scale for high-throughput workloads by tuning cache locality and index performance when enforcing data retention policies on tens of thousands of workflows per second, despite MVCC's inherent overhead.

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#database-performance

118M Queries per Second on Neki

Hacker News Top ↗ · 2026-09-11 Cached

PlanetScale achieved 118 million queries per second on their Neki platform with linear scalability across 512 shards, demonstrating exceptional performance and throughput in database operations.

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#database-performance

Every Millisecond Counts

Lobsters Hottest ↗ · 2026-09-09 Cached

This blog post details incremental optimizations to reduce ClickHouse query latency from over 85 seconds to sub-second, including changes to partition keys, join elimination, and aggressive merges.

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#database-performance

The only scalable delete in Postgres is DROP TABLE

Hacker News Top ↗ · 2026-06-11 Cached

This article explains why large DELETE operations in Postgres are inefficient and cause extra work, and recommends using DROP TABLE or TRUNCATE as more scalable alternatives for bulk data removal.

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#database-performance

5x perf increase on writes with FPW disabled in Postgres

Hacker News Top ↗ · 2026-05-08 Cached

This article explains how Databricks' Lakebase architecture achieves a 5x improvement in Postgres write throughput by disabling Full Page Writes (FPW) and leveraging stateless compute with distributed storage.

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#database-performance

Potential Consequences of Using Postgres as a Job Queue

Lobsters Hottest ↗ · 2026-05-07 Cached

The article analyzes the scalability limitations of using PostgreSQL as a job queue, specifically highlighting performance bottlenecks caused by MultiXact SLRU contention under high concurrency. It explains why this architecture fails in production despite working well in development and suggests considering alternatives.

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