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How to use declarative table partitioning in PostgreSQL 16 to accelerate historical time-series queries?

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Version 1 (Edit)

Edited by Ishaan Patel · Aug 24, 2026 7:19 AM

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Title snapshot

How to use declarative table partitioning in PostgreSQL 16 to accelerate historical time-series queries?

Summary snapshot
Partitioning by range (monthly/yearly), partition pruning, and index management.
Content snapshot
### Range Partitioning Partition huge event tables by month (`PARTITION BY RANGE (created_at)`). Enables PostgreSQL query planner to skip scanning inactive monthly tables entirely.
Source snapshot

https://developers.google.com/search/docs

Version 1 (Original Post)

Published by Ishaan Patel · Aug 9, 2026 5:37 AM

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Original Title

How to use declarative table partitioning in PostgreSQL 16 to accelerate historical time-series queries?

Original Summary
Partitioning by range (monthly/yearly), partition pruning, and index management.
Original Content
### Range Partitioning Partition huge event tables by month (`PARTITION BY RANGE (created_at)`). Enables PostgreSQL query planner to skip scanning inactive monthly tables entirely.
Original Sources

https://developers.google.com/search/docs