TPC-DS-OBT Q67
TPC-DS-OBT benchmark · all TPC-DS-OBT queries
Representative SQL
Rendered for DataFusion with default parameters.
SELECT *FROM ( SELECT item_i_category, item_i_class, item_i_brand, item_i_product_name, sold_date_d_year, sold_date_d_qoy, sold_date_d_moy, store_s_store_id, sumsales, RANK() OVER (PARTITION BY item_i_category ORDER BY sumsales DESC) AS rk FROM ( SELECT obt.item_i_category, obt.item_i_class, obt.item_i_brand, obt.item_i_product_name, obt.sold_date_d_year, obt.sold_date_d_qoy, obt.sold_date_d_moy, obt.store_s_store_id, SUM(COALESCE(obt.sales_price * obt.quantity, 0)) AS sumsales FROM tpcds_sales_returns_obt AS obt WHERE ( obt.sold_date_sk = obt.sold_date_d_date_sk AND obt.item_sk = obt.item_i_item_sk AND obt.store_sk = obt.store_s_store_sk AND obt.sold_date_d_month_seq BETWEEN 1176 AND 1176 + 11 ) AND channel = 'store' GROUP BY ROLLUP ( obt.item_i_category, obt.item_i_class, obt.item_i_brand, obt.item_i_product_name, obt.sold_date_d_year, obt.sold_date_d_qoy, obt.sold_date_d_moy, obt.store_s_store_id ) ) AS dw1) AS dw2WHERE rk <= 100ORDER BY item_i_category, item_i_class, item_i_brand, item_i_product_name, sold_date_d_year, sold_date_d_qoy, sold_date_d_moy, store_s_store_id, sumsales, rkLIMIT 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['67'])Source
Query text: benchbox/core/tpcds_obt/queries.py