data-distribution-and-processing-hit-independent-scalability-ceilings

Status: IN

Data distribution and processing both hit fundamental scalability ceilings: neither partitioning strategy provides both reliable routing and ordered access (hash destroys order, range depends on unverified parallel-array invariants), while query and aggregation operations hide unbounded memory barriers behind uniform tuple interfaces, meaning neither the data layout nor the query path scales gracefully under load.

Justifications

Partitioning limitations at the distribution layer and materialization barriers at the processing layer are independent scalability ceilings that prevent graceful degradation under load.

Depends on (SL): neither-partitioning-strategy-fully-reliable, materialization-barriers-span-storage-and-processing

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