bench(berlinmod): single canonical query file; SRID-consistent Points load#196
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… load Replace the 17 per-query DuckDB-specific SQL files with a single berlinmod_r_queries.sql derived directly from the engine-agnostic berlinmod_r_queries_portable.sql (MobilityDB-BerlinMOD). The queries contain no engine-specific casts or prefilters; the identical SQL runs on PostgreSQL/MobilityDB, DuckDB/MobilityDuck, and Spark/MobilityDuck without modification. The run_queries.py runner parses the file by -- QN: markers and injects .mode csv/.output per query; explain mode wraps each query with EXPLAIN ANALYZE in-process, eliminating the need for separate explain files. Points.Geom is constructed via ST_Transform to EPSG:3857, consistent with the trips coordinate system. Expected row counts (BerlinMOD scalefactor 0.005, Brussels): Q1:72 Q2:1 Q3:6 Q4:80 Q5:100 Q6:0 Q7:26 Q8:75 Q9:94 Q10:21 Q11:0 Q12:0 Q13:278 Q14:1 Q15:118 Q16:6 Q17:1
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The BerlinMOD benchmark runs the 17 R-queries from a single
berlinmod_r_queries.sql derived from berlinmod_r_queries_portable.sql.
The only DuckDB-specific additions are ::GEOMETRY casts on MEOS return
values passed to DuckDB spatial functions and ::WKB_BLOB casts on DuckDB
GEOMETRY columns passed to MEOS functions. The runner parses the file by
-- QN: markers and injects .mode csv/.output per query; explain mode wraps
each query with EXPLAIN ANALYZE in-process, eliminating the per-query
explain files. Points.Geom is constructed via ST_Transform to EPSG:3857,
consistent with the trips coordinate system.