Most indexing advice is written as if a table had one size. In practice the same table moves through very different regimes: it starts with a few hundred rows in a new product, reaches millions within a year, and on a successful product ends up in the hundreds of millions or billions. The index set that served it well at one size quietly becomes wrong at the next, either because indexes stop fitting in memory or because they slow down every write for little read benefit. This guide follows one t...
Database indexing from 1K to 1B rows: how the right strategy changes as a table grows
An index plan that is perfect at a million rows becomes a liability at a billion. We walk one events table through four sizes, show where the planner changes its mind, and what we added, removed or replaced at each stage.
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I am a Senior Software Engineer with over a decade of hands-on experience building, scaling, and maintaining complex systems across the full stack—spanning frontend, backend, and DevOps. Over the last 10 years, I have navigated diverse architectures and untangled some of the most frustrating, elusive bugs in production. I believe that every production incident is a massive learning opportunity. Having discovered hibug.me, I am excited to contribute to this knowledge base, breaking down root causes, and sharing verified fixes to help fellow developers debug faster and build more resilient systems.
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