TPC-DS-OBT Q70

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

Representative SQL

Rendered for DataFusion with default parameters.

SELECT
  SUM(net_profit) AS total_sum,
  store_s_state,
  store_s_county,
  GROUPING(store_s_state) + GROUPING(store_s_county) AS lochierarchy,
  RANK() OVER (
    PARTITION BY GROUPING(store_s_state) + GROUPING(store_s_county), CASE WHEN GROUPING(store_s_county) = 0 THEN store_s_state END
    ORDER BY SUM(net_profit) DESC
  ) AS rank_within_parent
FROM tpcds_sales_returns_obt AS obt
WHERE
  (
    sold_date_d_month_seq BETWEEN 1176 AND 1176 + 11
    AND sold_date_d_date_sk = sold_date_sk
    AND store_s_store_sk = store_sk
    AND store_s_state IN (
      SELECT
        s_state
      FROM (
        SELECT
          obt.store_s_state AS s_state,
          RANK() OVER (PARTITION BY obt.store_s_state ORDER BY SUM(obt.net_profit) DESC) AS ranking
        FROM tpcds_sales_returns_obt AS obt
        WHERE
          (
            obt.sold_date_d_month_seq BETWEEN 1176 AND 1176 + 11
            AND obt.sold_date_d_date_sk = obt.sold_date_sk
            AND obt.store_s_store_sk = obt.store_sk
          )
          AND channel = 'store'
        GROUP BY
          obt.store_s_state
      ) AS tmp1
      WHERE
        ranking <= 5
    )
  )
  AND channel = 'store'
GROUP BY
  ROLLUP (
    store_s_state,
    store_s_county
  )
ORDER BY
  lochierarchy DESC,
  CASE WHEN lochierarchy = 0 THEN store_s_state END,
  rank_within_parent
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['70'])

Source

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