feat(berlinmod): streaming benchmark harness with corpus-derived parameters (stacks on #8) - #9
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…meters BerlinMODBenchmark runs each of the 27 BerlinMOD-9 × 3-form cells in isolation through a TopologyTestDriver and reads its output cardinality (correctness); EmbeddedBrokerBenchmark runs each cell as a KafkaStreams application against a fresh in-process EmbeddedKafkaCluster and reports steady-state per-event throughput. Both share the corpus-derived query parameters and window/tick granularity (BerlinMODCorpus.derive) and evaluate the spatial predicates through MEOS. On the 216,075-instant real BerlinMOD corpus the per-event spatial cells sustain 45,000-47,000 ev/s; docs/benchmark.md carries the full 27-cell table.
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Superseded by the Path-B consolidation: the former 12-deep stack is collapsed into three reviewable topical PRs — scaffold #1 → MEOS integration #14 → benchmark #15 — each one clean squashed commit with the generated-facade bulk, dead family-flag profiles, and invented synthetic corpus removed. Closing as folded into #14/#15. |
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BerlinMODBenchmark drives the full BerlinMOD topology in-process through a TopologyTestDriver over a corpus and reads each cell's output cardinality, with the spatial predicates evaluating through MEOS. BerlinMODCorpus loads the real BerlinMOD instants (reprojected EPSG:3857→4326 through MEOS) or a synthetic corpus and derives the per-query parameters and window/tick from the corpus; BerlinMODTopology.build(Params) auto-scales to the corpus span, so the topology matches the MobilityFlink mechanism rather than carrying a fixed window/tick.