TPC-DS Q95 — Web Multi-Warehouse Orders With Returns
TPC-DS benchmark · all TPC-DS queries
Web orders shipped from multiple warehouses that were returned
Representative SQL
Rendered for DataFusion with default parameters.
WITH ws_wh AS ( SELECT ws1.ws_order_number, ws1.ws_warehouse_sk AS wh1, ws2.ws_warehouse_sk AS wh2 FROM web_sales AS ws1, web_sales AS ws2 WHERE ws1.ws_order_number = ws2.ws_order_number AND ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk)SELECT COUNT(DISTINCT ws_order_number) AS "order count", SUM(ws_ext_ship_cost) AS "total shipping cost", SUM(ws_net_profit) AS "total net profit"FROM web_sales AS ws1, date_dim, customer_address, web_siteWHERE d_date BETWEEN '1999-5-01' AND ( CAST('1999-5-01' AS DATE) + INTERVAL '60 DAY' ) AND ws1.ws_ship_date_sk = d_date_sk AND ws1.ws_ship_addr_sk = ca_address_sk AND ca_state = 'TX' AND ws1.ws_web_site_sk = web_site_sk AND web_company_name = 'pri' AND ws1.ws_order_number IN ( SELECT ws_order_number FROM ws_wh ) AND ws1.ws_order_number IN ( SELECT wr_order_number FROM web_returns, ws_wh WHERE wr_order_number = ws_wh.ws_order_number )ORDER BY COUNT(DISTINCT ws_order_number)LIMIT 100Representative 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 factorqueries = bench.get_queries(dialect="datafusion") # your platform's dialect; drop dialect= for native SQLprint(queries['95'])Parameter substitution for this benchmark is seed-driven; pass a seed for a specific stream’s parameters:
print(bench.get_query(95, 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', '95', family="expression").source) # or family="pandas"Source
Query text: _sources/tpc-ds/query_templates/query95.tpl