TPC-DS-OBT Q20

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,
  item_i_category,
  item_i_class,
  item_i_current_price,
  SUM(ext_sales_price) AS itemrevenue,
  CAST(SUM(ext_sales_price) * 100 AS DOUBLE PRECISION) / SUM(SUM(ext_sales_price)) OVER (PARTITION BY item_i_class) AS revenueratio
FROM tpcds_sales_returns_obt AS obt
WHERE
  (
    item_sk = item_i_item_sk
    AND item_i_category IN ('1', '1', '1')
    AND sold_date_sk = sold_date_d_date_sk
    AND sold_date_d_date BETWEEN CAST('1998-01-01' AS DATE) AND (
      CAST('1998-01-01' AS DATE) + INTERVAL '30 DAY'
    )
  )
  AND channel = 'catalog'
GROUP BY
  item_i_item_id,
  item_i_item_desc,
  item_i_category,
  item_i_class,
  item_i_current_price
ORDER BY
  item_i_category,
  item_i_class,
  item_i_item_id,
  item_i_item_desc,
  revenueratio
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['20'])

Source

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