TPC-DS-OBT Q43

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

Representative SQL

Rendered for DataFusion with default parameters.

SELECT
  store_s_store_name,
  store_s_store_id,
  SUM(CASE WHEN (
    sold_date_d_day_name = 'Sunday'
  ) THEN sales_price ELSE NULL END) AS sun_sales,
  SUM(CASE WHEN (
    sold_date_d_day_name = 'Monday'
  ) THEN sales_price ELSE NULL END) AS mon_sales,
  SUM(CASE WHEN (
    sold_date_d_day_name = 'Tuesday'
  ) THEN sales_price ELSE NULL END) AS tue_sales,
  SUM(
    CASE WHEN (
      sold_date_d_day_name = 'Wednesday'
    ) THEN sales_price ELSE NULL END
  ) AS wed_sales,
  SUM(CASE WHEN (
    sold_date_d_day_name = 'Thursday'
  ) THEN sales_price ELSE NULL END) AS thu_sales,
  SUM(CASE WHEN (
    sold_date_d_day_name = 'Friday'
  ) THEN sales_price ELSE NULL END) AS fri_sales,
  SUM(CASE WHEN (
    sold_date_d_day_name = 'Saturday'
  ) THEN sales_price ELSE NULL END) AS sat_sales
FROM tpcds_sales_returns_obt AS obt
WHERE
  (
    sold_date_d_date_sk = sold_date_sk
    AND store_s_store_sk = store_sk
    AND store_s_gmt_offset = 0
    AND sold_date_d_year = 1998
  )
  AND channel = 'store'
GROUP BY
  store_s_store_name,
  store_s_store_id
ORDER BY
  store_s_store_name,
  store_s_store_id,
  sun_sales,
  mon_sales,
  tue_sales,
  wed_sales,
  thu_sales,
  fri_sales,
  sat_sales
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['43'])

Source

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