TPC-DS Q73 — Store Sales Household Vehicle

TPC-DS benchmark · all TPC-DS queries

Reports customer household purchases by vehicle count

Representative SQL

Rendered for DataFusion with default parameters.

SELECT
  c_last_name,
  c_first_name,
  c_salutation,
  c_preferred_cust_flag,
  ss_ticket_number,
  cnt
FROM (
  SELECT
    ss_ticket_number,
    ss_customer_sk,
    COUNT(*) AS cnt
  FROM store_sales, date_dim, store, household_demographics
  WHERE
    store_sales.ss_sold_date_sk = date_dim.d_date_sk
    AND store_sales.ss_store_sk = store.s_store_sk
    AND store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk
    AND date_dim.d_dom BETWEEN 1 AND 2
    AND (
      household_demographics.hd_buy_potential = '>10000'
      OR household_demographics.hd_buy_potential = 'Unknown'
    )
    AND household_demographics.hd_vehicle_count > 0
    AND CASE
      WHEN household_demographics.hd_vehicle_count > 0
      THEN household_demographics.hd_dep_count / household_demographics.hd_vehicle_count
      ELSE NULL
    END > 1
    AND date_dim.d_year IN (1998, 1998 + 1, 1998 + 2)
    AND store.s_county IN (
      'Williamson County',
      'Williamson County',
      'Williamson County',
      'Williamson County'
    )
  GROUP BY
    ss_ticket_number,
    ss_customer_sk
) AS dj, customer
WHERE
  ss_customer_sk = c_customer_sk AND cnt BETWEEN 1 AND 5
ORDER BY
  cnt DESC,
  c_last_name ASC

Representative DataFrame

Expression family (Polars, PySpark, DataFusion), default parameters.

def impl(ctx: DataFrameContext) -> Any:
        return engine(ctx, spec)

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 TPCDS

bench = TPCDS(scale_factor=1.0)            # your scale factor
queries = bench.get_queries(dialect="datafusion")   # your platform's dialect; drop dialect= for native SQL
print(queries['73'])

Parameter substitution for this benchmark is seed-driven; pass a seed for a specific stream’s parameters:

print(bench.get_query(73, scale_factor=1.0, seed=42, dialect="datafusion"))

For the DataFrame form:

from benchbox.core.query_catalog import get_dataframe_render

print(get_dataframe_render('tpcds', '73', family="expression").source)  # or family="pandas"

Source

Query text: _sources/tpc-ds/query_templates/query73.tpl