Instead of pointer-chasing through B-Tree node hierarchies, this index models the key distribution using streaming piecewise linear regression with strict epsilon error bounds.
Lookups compute positions directly on the CPU ALU before a local L1 cache search, reducing memory by 99% and cutting latency by 3x.
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That is… very neat. I want to explore this more, but I’m pretty sure this could be super useful with some of the parquet stuff my team does
The paper is a bit older, and I haven’t seen this anywhere else. What’s the catch?



