{"id":"data-distribution-and-processing-hit-independent-scalability-ceilings","text":"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.","truth_value":"IN","source":"","source_url":"","source_hash":"","justifications":[{"type":"SL","antecedents":["neither-partitioning-strategy-fully-reliable","materialization-barriers-span-storage-and-processing"],"outlist":[],"label":"Partitioning limitations at the distribution layer and materialization barriers at the processing layer are independent scalability ceilings that prevent graceful degradation under load."}],"dependents":[],"metadata":{"last_reviewed":"2026-05-30T09:01:17","review_result":"pass"},"created_at":"","updated_at":"","reviewed_at":"","verified_at":"","retracted_at":"","explanation":{"steps":[{"node":"data-distribution-and-processing-hit-independent-scalability-ceilings","truth_value":"IN","reason":"SL justification valid","antecedents":["neither-partitioning-strategy-fully-reliable","materialization-barriers-span-storage-and-processing"],"label":"Partitioning limitations at the distribution layer and materialization barriers at the processing layer are independent scalability ceilings that prevent graceful degradation under load."},{"node":"neither-partitioning-strategy-fully-reliable","truth_value":"IN","reason":"SL justification valid","antecedents":["range-partitioning-routing-is-structurally-fragile","hash-mod-destroys-key-order"],"label":"Range partitioning is ordered but fragile, hash partitioning is robust but unordered — each strategy sacrifices the property the other provides"},{"node":"range-partitioning-routing-is-structurally-fragile","truth_value":"IN","reason":"SL justification valid","antecedents":["range-partitioning-parallel-arrays-routing","range-partitioning-merge-assumes-adjacency","range-partition-split-at-median"],"label":"Parallel array coupling and unverified adjacency assumptions make routing fragile"},{"node":"range-partitioning-parallel-arrays-routing","truth_value":"IN","reason":"premise"},{"node":"range-partitioning-merge-assumes-adjacency","truth_value":"IN","reason":"premise"},{"node":"range-partition-split-at-median","truth_value":"IN","reason":"premise"},{"node":"hash-mod-destroys-key-order","truth_value":"IN","reason":"premise"},{"node":"materialization-barriers-span-storage-and-processing","truth_value":"IN","reason":"SL justification valid","antecedents":["storage-operations-have-unbounded-memory-consumption","count-is-barrier"],"label":"Both storage reads and batch processing stages have unbounded materialization points"},{"node":"storage-operations-have-unbounded-memory-consumption","truth_value":"IN","reason":"SL justification valid","antecedents":["lsm-range-scan-materializes-all","compaction-buffers-all-entries","sstable-get-rebuilds-key-list-every-call"],"label":"All three operations eagerly materialize full datasets with no memory bound"},{"node":"lsm-range-scan-materializes-all","truth_value":"IN","reason":"premise"},{"node":"compaction-buffers-all-entries","truth_value":"IN","reason":"premise"},{"node":"sstable-get-rebuilds-key-list-every-call","truth_value":"IN","reason":"premise"},{"node":"count-is-barrier","truth_value":"IN","reason":"premise"}]}}