TPC-DS Q56 — Three-Channel Sales by Item (Color)

TPC-DS benchmark · all TPC-DS queries

Union of store/catalog/web sales by item filtered by color

Representative SQL

Rendered for DataFusion with default parameters.

WITH ss AS (
  SELECT
    i_item_id,
    SUM(ss_ext_sales_price) AS total_sales
  FROM store_sales, date_dim, customer_address, item
  WHERE
    i_item_id IN (
      SELECT
        i_item_id
      FROM item
      WHERE
        i_color IN ('orchid', 'chiffon', 'lace')
    )
    AND ss_item_sk = i_item_sk
    AND ss_sold_date_sk = d_date_sk
    AND d_year = 2000
    AND d_moy = 1
    AND ss_addr_sk = ca_address_sk
    AND ca_gmt_offset = -8
  GROUP BY
    i_item_id
), cs AS (
  SELECT
    i_item_id,
    SUM(cs_ext_sales_price) AS total_sales
  FROM catalog_sales, date_dim, customer_address, item
  WHERE
    i_item_id IN (
      SELECT
        i_item_id
      FROM item
      WHERE
        i_color IN ('orchid', 'chiffon', 'lace')
    )
    AND cs_item_sk = i_item_sk
    AND cs_sold_date_sk = d_date_sk
    AND d_year = 2000
    AND d_moy = 1
    AND cs_bill_addr_sk = ca_address_sk
    AND ca_gmt_offset = -8
  GROUP BY
    i_item_id
), ws AS (
  SELECT
    i_item_id,
    SUM(ws_ext_sales_price) AS total_sales
  FROM web_sales, date_dim, customer_address, item
  WHERE
    i_item_id IN (
      SELECT
        i_item_id
      FROM item
      WHERE
        i_color IN ('orchid', 'chiffon', 'lace')
    )
    AND ws_item_sk = i_item_sk
    AND ws_sold_date_sk = d_date_sk
    AND d_year = 2000
    AND d_moy = 1
    AND ws_bill_addr_sk = ca_address_sk
    AND ca_gmt_offset = -8
  GROUP BY
    i_item_id
)
SELECT
  i_item_id,
  SUM(total_sales) AS total_sales
FROM (
  SELECT
    *
  FROM ss
  UNION ALL
  SELECT
    *
  FROM cs
  UNION ALL
  SELECT
    *
  FROM ws
) AS tmp1
GROUP BY
  i_item_id
ORDER BY
  total_sales,
  i_item_id
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['56'])

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

print(bench.get_query(56, 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', '56', family="expression").source)  # or family="pandas"

Source

Query text: _sources/tpc-ds/query_templates/query56.tpl