TPC-Havoc Q18_v9

TPC-Havoc benchmark · all TPC-Havoc queries

Representative SQL

Rendered for DataFusion with default parameters.

WITH order_quantities AS (
  SELECT
    c.c_name,
    c.c_custkey,
    o.o_orderkey,
    o.o_orderdate,
    o.o_totalprice,
    SUM(l.l_quantity) AS total_qty,
    RANK() OVER (ORDER BY o.o_totalprice DESC, o.o_orderdate) AS price_rank
  FROM customer AS c, orders AS o, lineitem AS l
  WHERE
    c.c_custkey = o.o_custkey AND o.o_orderkey = l.l_orderkey
  GROUP BY
    c.c_name,
    c.c_custkey,
    o.o_orderkey,
    o.o_orderdate,
    o.o_totalprice
  HAVING
    SUM(l.l_quantity) > 300
)
SELECT
  c_name,
  c_custkey,
  o_orderkey,
  o_orderdate,
  o_totalprice,
  total_qty
FROM order_quantities
WHERE
  price_rank <= 100

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['18_v9'])

Source

Query text: benchbox/core/tpchavoc/variant_sets/q18.py