TPC-DS-OBT Q29

TPC-DS-OBT benchmark · all TPC-DS-OBT queries

Representative SQL

Rendered for DataFusion with default parameters.

SELECT
  item_i_item_id,
  item_i_item_desc,
  store_s_store_id,
  store_s_store_name,
  SUM(quantity) AS store_sales_quantity,
  SUM(return_quantity) AS store_returns_quantity,
  SUM(quantity) AS catalog_sales_quantity
FROM tpcds_sales_returns_obt AS obt
WHERE
  (
    sold_date_d_moy = 4
    AND 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 ship_customer_sk = returning_customer_c_customer_sk
    AND item_sk = item_sk
    AND sale_id = sale_id
    AND returned_date_sk = return_date_d_date_sk
    AND return_date_d_moy BETWEEN 4 AND 4 + 3
    AND return_date_d_year = 1998
    AND returning_customer_c_customer_sk = bill_customer_sk
    AND item_sk = item_sk
    AND sold_date_sk = sold_date_d_date_sk
    AND sold_date_d_year IN (1998, 1998 + 1, 1998 + 2)
  )
  AND channel IN ('catalog', 'store')
GROUP BY
  item_i_item_id,
  item_i_item_desc,
  store_s_store_id,
  store_s_store_name
ORDER BY
  item_i_item_id,
  item_i_item_desc,
  store_s_store_id,
  store_s_store_name
LIMIT 100

Representative 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 factor
queries = bench.get_queries(dialect="datafusion")   # your platform's dialect; drop dialect= for native SQL
print(queries['29'])

Source

Query text: benchbox/core/tpcds_obt/queries.py