============================================================
 Benchmark — PostgreSQL 16  •  1 000 000 rows
 Runs per query: 3   JIT: on   Parallelism: 4 workers
============================================================

── heap  (db: bench_am  table: events_heap) ─────────────────────────
  Q1 count(*)                          16.833 ms
  Q2 SUM/AVG numeric+double            45.926 ms
  Q3 GROUP BY country (10)             55.289 ms
  Q4 GROUP BY event_type+p95           633.001 ms
  Q5 date range 1 month                21.170 ms
  Q6 JSONB @> GIN                      105.036 ms
  Q7 JSONB key + GROUP BY              399.054 ms
  Q8 array @> GIN                      215.872 ms
  Q9 LIKE text scan                    44.969 ms
  Q10 heavy multi-agg                  762.606 ms

── colcompress  (db: bench_am  table: events_col) ─────────────────────────
  Q1 count(*)                          14.621 ms
  Q2 SUM/AVG numeric+double            32.014 ms
  Q3 GROUP BY country (10)             34.162 ms
  Q4 GROUP BY event_type+p95           333.544 ms
  Q5 date range 1 month                21.076 ms
  Q6 JSONB @> GIN                      44.643 ms
  Q7 JSONB key + GROUP BY              257.977 ms
  Q8 array @> GIN                      31.475 ms
  Q9 LIKE text scan                    24.497 ms
  Q10 heavy multi-agg                  733.149 ms

── rowcompress  (db: bench_am  table: events_row) ─────────────────────────
  Q1 count(*)                          157.488 ms
  Q2 SUM/AVG numeric+double            167.548 ms
  Q3 GROUP BY country (10)             174.261 ms
  Q4 GROUP BY event_type+p95           465.482 ms
  Q5 date range 1 month                62.584 ms
  Q6 JSONB @> GIN                      364.203 ms
  Q7 JSONB key + GROUP BY              212.814 ms
  Q8 array @> GIN                      292.513 ms
  Q9 LIKE text scan                    157.666 ms
  Q10 heavy multi-agg                  925.537 ms

Results saved → /home/saulo/Projetos/storage_engine/dist/tests/bench/matrix_20260430/results_parallel_pg16.csv
Generate chart: python3 /home/saulo/Projetos/storage_engine/dist/tests/bench/chart_parallel.py /home/saulo/Projetos/storage_engine/dist/tests/bench/matrix_20260430/results_parallel_pg16.csv