TPC-Havoc Q14_v4

TPC-Havoc benchmark · all TPC-Havoc queries

Representative SQL

Rendered for DataFusion with default parameters.

SELECT
  100.00 * SUM(promo_revenue) / SUM(total_revenue) AS promo_revenue
FROM (
  SELECT
    SUM(
      CASE
        WHEN p_type LIKE 'PROMO%'
        THEN l_extendedprice * (
          1 - l_discount
        )
        ELSE 0
      END
    ) AS promo_revenue,
    SUM(l_extendedprice * (
      1 - l_discount
    )) AS total_revenue
  FROM lineitem, part
  WHERE
    l_partkey = p_partkey
    AND l_shipdate >= CAST('1995-09-01' AS DATE)
    AND l_shipdate < CAST('1995-09-01' AS DATE) + INTERVAL '1 MONTH'
    AND p_type LIKE 'PROMO%'
  UNION ALL
  SELECT
    0 AS promo_revenue,
    SUM(l_extendedprice * (
      1 - l_discount
    )) AS total_revenue
  FROM lineitem, part
  WHERE
    l_partkey = p_partkey
    AND l_shipdate >= CAST('1995-09-01' AS DATE)
    AND l_shipdate < CAST('1995-09-01' AS DATE) + INTERVAL '1 MONTH'
    AND p_type NOT LIKE 'PROMO%'
) AS combined

Representative DataFrame

No DataFrame implementation is registered for this query.

Get the exact query for your run

The blocks above are representative. To get the precise statement a specific platform runs at a specific scale, substitute your own values:

from benchbox import TPCHavoc

bench = TPCHavoc(scale_factor=0.01)            # your scale factor
queries = bench.get_queries(dialect="datafusion")   # your platform's dialect; drop dialect= for native SQL
print(queries['14_v4'])

Source

Query text: benchbox/core/tpchavoc/variant_sets/q14.py