TPC-DS-OBT Q36
TPC-DS-OBT benchmark · all TPC-DS-OBT queries
Representative SQL
Rendered for DataFusion with default parameters.
SELECT CAST(SUM(net_profit) AS DOUBLE PRECISION) / SUM(ext_sales_price) AS gross_margin, item_i_category, item_i_class, GROUPING(item_i_category) + GROUPING(item_i_class) AS lochierarchy, RANK() OVER ( PARTITION BY GROUPING(item_i_category) + GROUPING(item_i_class), CASE WHEN GROUPING(item_i_class) = 0 THEN item_i_category END ORDER BY CAST(SUM(net_profit) AS DOUBLE PRECISION) / SUM(ext_sales_price) ASC ) AS rank_within_parentFROM tpcds_sales_returns_obt AS obtWHERE ( sold_date_d_year = 1998 AND sold_date_d_date_sk = sold_date_sk AND item_i_item_sk = item_sk AND store_s_store_sk = store_sk AND store_s_state IN ('0', '0', '0', '0', '0', '0', '0', '0') ) AND channel = 'store'GROUP BY ROLLUP ( item_i_category, item_i_class )ORDER BY lochierarchy DESC, CASE WHEN lochierarchy = 0 THEN item_i_category END, rank_within_parentLIMIT 100Representative DataFrame
No DataFrame implementation is registered for this query.
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 TPCDSOBT
bench = TPCDSOBT(scale_factor=1.0) # your scale factorqueries = bench.get_queries(dialect="datafusion") # your platform's dialect; drop dialect= for native SQLprint(queries['36'])Source
Query text: benchbox/core/tpcds_obt/queries.py