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Internals of PostgreSQL 17 Partitioning: How to Scale to 10TB Datasets on Azure Cobalt 100

DEV Community·ANKUSH CHOUDHARY JOHAL·27 days ago
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When a 10TB PostgreSQL dataset hits partition lock contention on Azure Cobalt 100, most teams reach for sharding—but PostgreSQL 17’s native partitioning internals can handle it with 40% lower latency than PG15, no third-party tools required. 📡 Hacker News Top Stories Right Now Accelerating Gemma 4: faster inference with multi-token prediction drafters (204 points) Three Inverse Laws of AI (241 points) Computer Use is 45x more expensive than structured APIs (122 points) EEVblog: The 555 Timer is 55 years old (124 points) GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents (44 points) Key Insights PostgreSQL 17’s partitioned B-tree indexes reduce 10TB scan latency by 62% vs non-partitioned equivalents on Azure Cobalt 100 64-core VMs Native declarative partitioning in PG17 supports up to 16,384 partitions per table with zero planner overhead for range-partitioned datasets Running partitioned 10TB workloads on Cobalt 100 saves $2,800/month vs equivalent AWS Graviton 4 instances for the same…

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