TPC-DS Q42 — Date/Item Category Sales

TPC-DS benchmark · all TPC-DS queries

Reports sales by item category for a specific month and year

Representative SQL

Rendered for DataFusion with default parameters.

SELECT
  dt.d_year,
  item.i_category_id,
  item.i_category,
  SUM(ss_ext_sales_price)
FROM date_dim AS dt, store_sales, item
WHERE
  dt.d_date_sk = store_sales.ss_sold_date_sk
  AND store_sales.ss_item_sk = item.i_item_sk
  AND item.i_manager_id = 1
  AND dt.d_moy = 12
  AND dt.d_year = 1998
GROUP BY
  dt.d_year,
  item.i_category_id,
  item.i_category
ORDER BY
  SUM(ss_ext_sales_price) DESC,
  dt.d_year,
  item.i_category_id,
  item.i_category
LIMIT 100

Representative DataFrame

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

def impl(ctx: DataFrameContext) -> Any:
        return helper(ctx, query_id, *helper_args)

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['42'])

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

print(bench.get_query(42, 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', '42', family="expression").source)  # or family="pandas"

Source

Query text: _sources/tpc-ds/query_templates/query42.tpl