TPC-DS-OBT Q89

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

Representative SQL

Rendered for DataFusion with default parameters.

SELECT
  *
FROM (
  SELECT
    obt.item_i_category,
    obt.item_i_class,
    obt.item_i_brand,
    obt.store_s_store_name,
    obt.store_s_company_name,
    obt.sold_date_d_moy,
    SUM(obt.sales_price) AS sum_sales,
    AVG(SUM(obt.sales_price)) OVER (
      PARTITION BY obt.item_i_category, obt.item_i_brand, obt.store_s_store_name, obt.store_s_company_name
    ) AS avg_monthly_sales
  FROM tpcds_sales_returns_obt AS obt
  WHERE
    (
      obt.item_sk = obt.item_i_item_sk
      AND obt.sold_date_sk = obt.sold_date_d_date_sk
      AND obt.store_sk = obt.store_s_store_sk
      AND obt.sold_date_d_year IN (1998)
      AND (
        (
          obt.item_i_category IN ('0', '0', '0') AND obt.item_i_class IN ('0', '0', '0')
        )
        OR (
          obt.item_i_category IN ('0', '0', '0') AND obt.item_i_class IN ('0', '0', '0')
        )
      )
    )
    AND channel = 'store'
  GROUP BY
    obt.item_i_category,
    obt.item_i_class,
    obt.item_i_brand,
    obt.store_s_store_name,
    obt.store_s_company_name,
    obt.sold_date_d_moy
) AS tmp1
WHERE
  CASE
    WHEN (
      avg_monthly_sales <> 0
    )
    THEN (
      CAST(ABS(sum_sales - avg_monthly_sales) AS DOUBLE PRECISION) / avg_monthly_sales
    )
    ELSE NULL
  END > 0.1
ORDER BY
  sum_sales - avg_monthly_sales,
  store_s_store_name
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['89'])

Source

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