☁️ Cloud & Databases

How One Developer Built a Production Pedigree Tree in PostgreSQL—And Why Your Genealogy App Is Probably Broken

A breeder's app tracking 200 animals in 9 days. The secret? Understanding why adjacency lists beat nested sets, and why your duplicates aren't a bug—they're inbreeding.

A PostgreSQL recursive CTE query tracing a multi-generation animal pedigree tree from one ancestor upward through four generations

⚡ Key Takeaways

  • Adjacency lists with self-referential foreign keys are the only schema that handles pedigrees correctly; nested sets and materialized paths fail at scale. 𝕏
  • Recursive CTEs are the right tool for multi-generation ancestor traversal—they're elegant, performant, and standardized across SQL databases. 𝕏
  • Duplicate ancestors in your pedigree query results aren't bugs; they're the signal for detecting inbreeding, and removing them corrupts your data. 𝕏
  • Closure tables lose to recursive CTEs for pedigrees because common ancestors create path explosion—the exact scenario where you most need efficiency. 𝕏
Published by

Open Source Beat

Community-driven. Code-first.

Worth sharing?

Get the best Open Source stories of the week in your inbox — no noise, no spam.

Originally reported by Dev.to

Stay in the loop

The week's most important stories from Open Source Beat, delivered once a week.