Advanced PostgreSQL Optimization Techniques Beyond Conventional Methods
By
haki
4mo ago· 12 min readen
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Summary
This article presents unconventional optimization techniques for PostgreSQL databases, moving beyond standard approaches like query rewriting and indexing. It explores creative methods such as leveraging check constraints to eliminate full table scans, using partial indexes for specific data subsets, and employing expression indexes for computed values. The article provides practical examples and technical insights for database developers looking to improve PostgreSQL performance through less conventional means.
Key quotes
· 5 pulledConventional techniques are effective, but sometimes being creative can really pay off!
When it comes to database optimization, developers often reach for the same old tools: rewrite the query slightly differently, slap an index on a column, denormalize, analyze, vacuum, cluster, repeat.
In this article, I present unconventional optimization techniques in PostgreSQL.
Eliminate Full Table Scans Based on Check Constraints
Imagine you have this table of users: For each user you keep their name and which payment plan they're on.
When it comes to database optimization, developers often reach for the same old tools: rewrite the query slightly differently, slap an index on a column, denormalize, analyze, vacuum, cluster, repeat. Conventional techniques are effective, but sometimes b
