TPC-DS-OBT Q40

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

Representative SQL

Rendered for DataFusion with default parameters.

SELECT
  warehouse_w_state,
  item_i_item_id,
  SUM(
    CASE
      WHEN (
        CAST(sold_date_d_date AS DATE) < CAST('1998-01-01' AS DATE)
      )
      THEN sales_price - COALESCE(refunded_cash, 0)
      ELSE 0
    END
  ) AS sales_before,
  SUM(
    CASE
      WHEN (
        CAST(sold_date_d_date AS DATE) >= CAST('1998-01-01' AS DATE)
      )
      THEN sales_price - COALESCE(refunded_cash, 0)
      ELSE 0
    END
  ) AS sales_after
FROM tpcds_sales_returns_obt AS obt
WHERE
  (
    (
      item_i_current_price BETWEEN 0.99 AND 1.49
      AND item_i_item_sk = item_sk
      AND warehouse_sk = warehouse_w_warehouse_sk
      AND sold_date_sk = sold_date_d_date_sk
      AND sold_date_d_date BETWEEN (
        CAST('1998-01-01' AS DATE) - INTERVAL '30 DAY'
      ) AND (
        CAST('1998-01-01' AS DATE) + INTERVAL '30 DAY'
      )
    )
    AND (
      sale_id = sale_id AND item_sk = item_sk
    )
  )
  AND channel = 'catalog'
GROUP BY
  warehouse_w_state,
  item_i_item_id
ORDER BY
  warehouse_w_state,
  item_i_item_id
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['40'])

Source

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