TPC-DS-OBT Q50

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

Representative SQL

Rendered for DataFusion with default parameters.

SELECT
  store_s_store_name,
  store_s_company_id,
  store_s_street_number,
  store_s_street_name,
  store_s_street_type,
  store_s_suite_number,
  store_s_city,
  store_s_county,
  store_s_state,
  store_s_zip,
  SUM(CASE WHEN (
    returned_date_sk - sold_date_sk <= 30
  ) THEN 1 ELSE 0 END) AS "30 days",
  SUM(
    CASE
      WHEN (
        returned_date_sk - sold_date_sk > 30
      )
      AND (
        returned_date_sk - sold_date_sk <= 60
      )
      THEN 1
      ELSE 0
    END
  ) AS "31-60 days",
  SUM(
    CASE
      WHEN (
        returned_date_sk - sold_date_sk > 60
      )
      AND (
        returned_date_sk - sold_date_sk <= 90
      )
      THEN 1
      ELSE 0
    END
  ) AS "61-90 days",
  SUM(
    CASE
      WHEN (
        returned_date_sk - sold_date_sk > 90
      )
      AND (
        returned_date_sk - sold_date_sk <= 120
      )
      THEN 1
      ELSE 0
    END
  ) AS "91-120 days",
  SUM(CASE WHEN (
    returned_date_sk - sold_date_sk > 120
  ) THEN 1 ELSE 0 END) AS ">120 days"
FROM tpcds_sales_returns_obt AS obt
WHERE
  (
    return_date_d_year = 1998
    AND return_date_d_moy = 8
    AND sale_id = sale_id
    AND item_sk = item_sk
    AND sold_date_sk = sold_date_d_date_sk
    AND returned_date_sk = return_date_d_date_sk
    AND ship_customer_sk = returning_customer_c_customer_sk
    AND store_sk = store_s_store_sk
  )
  AND channel = 'store'
GROUP BY
  store_s_store_name,
  store_s_company_id,
  store_s_street_number,
  store_s_street_name,
  store_s_street_type,
  store_s_suite_number,
  store_s_city,
  store_s_county,
  store_s_state,
  store_s_zip
ORDER BY
  store_s_store_name,
  store_s_company_id,
  store_s_street_number,
  store_s_street_name,
  store_s_street_type,
  store_s_suite_number,
  store_s_city,
  store_s_county,
  store_s_state,
  store_s_zip
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['50'])

Source

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