TPC-DS Q38 — Three-Channel Customer INTERSECT

TPC-DS benchmark · all TPC-DS queries

Count customers who bought in all three channels on same date

Representative SQL

Rendered for DataFusion with default parameters.

SELECT
  COUNT(*)
FROM (
  SELECT DISTINCT
    c_last_name,
    c_first_name,
    d_date
  FROM store_sales, date_dim, customer
  WHERE
    store_sales.ss_sold_date_sk = date_dim.d_date_sk
    AND store_sales.ss_customer_sk = customer.c_customer_sk
    AND d_month_seq BETWEEN 1212 AND 1212 + 11
  INTERSECT
  SELECT DISTINCT
    c_last_name,
    c_first_name,
    d_date
  FROM catalog_sales, date_dim, customer
  WHERE
    catalog_sales.cs_sold_date_sk = date_dim.d_date_sk
    AND catalog_sales.cs_bill_customer_sk = customer.c_customer_sk
    AND d_month_seq BETWEEN 1212 AND 1212 + 11
  INTERSECT
  SELECT DISTINCT
    c_last_name,
    c_first_name,
    d_date
  FROM web_sales, date_dim, customer
  WHERE
    web_sales.ws_sold_date_sk = date_dim.d_date_sk
    AND web_sales.ws_bill_customer_sk = customer.c_customer_sk
    AND d_month_seq BETWEEN 1212 AND 1212 + 11
) AS hot_cust
LIMIT 100

Representative DataFrame

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

def q38_expression_impl(ctx: DataFrameContext) -> Any:
    return _three_channel_customer_count_expression(ctx, 38, "intersect")

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['38'])

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

print(bench.get_query(38, 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', '38', family="expression").source)  # or family="pandas"

Source

Query text: _sources/tpc-ds/query_templates/query38.tpl