TPC-DS-OBT Q14a

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

Representative SQL

Rendered for DataFusion with default parameters.

WITH cross_items AS (
  SELECT
    item_i_item_sk
  FROM (
    SELECT DISTINCT
      item_i_item_sk,
      item_i_brand_id,
      item_i_class_id,
      item_i_category_id
    FROM tpcds_sales_returns_obt
    WHERE
      NOT item_i_item_sk IS NULL
  ) AS i
  JOIN (
    SELECT
      item_i_brand_id,
      item_i_class_id,
      item_i_category_id
    FROM tpcds_sales_returns_obt
    WHERE
      channel = 'store' AND sold_date_d_year BETWEEN 1998 AND 1998 + 2
    INTERSECT
    SELECT
      item_i_brand_id,
      item_i_class_id,
      item_i_category_id
    FROM tpcds_sales_returns_obt
    WHERE
      channel = 'catalog' AND sold_date_d_year BETWEEN 1998 AND 1998 + 2
    INTERSECT
    SELECT
      item_i_brand_id,
      item_i_class_id,
      item_i_category_id
    FROM tpcds_sales_returns_obt
    WHERE
      channel = 'web' AND sold_date_d_year BETWEEN 1998 AND 1998 + 2
  ) AS x
    ON i.item_i_brand_id = x.item_i_brand_id
    AND i.item_i_class_id = x.item_i_class_id
    AND i.item_i_category_id = x.item_i_category_id
), avg_sales AS (
  SELECT
    AVG(quantity * list_price) AS average_sales
  FROM tpcds_sales_returns_obt
  WHERE
    sold_date_d_year BETWEEN 1998 AND 1998 + 2
)
SELECT
  channel,
  i_brand_id,
  i_class_id,
  i_category_id,
  SUM(sales),
  SUM(number_sales)
FROM (
  SELECT
    channel,
    item_i_brand_id AS i_brand_id,
    item_i_class_id AS i_class_id,
    item_i_category_id AS i_category_id,
    SUM(quantity * list_price) AS sales,
    COUNT(*) AS number_sales
  FROM tpcds_sales_returns_obt
  WHERE
    item_sk IN (
      SELECT
        item_i_item_sk
      FROM cross_items
    )
    AND sold_date_d_year = 1998 + 2
    AND sold_date_d_moy = 11
  GROUP BY
    channel,
    item_i_brand_id,
    item_i_class_id,
    item_i_category_id
  HAVING
    SUM(quantity * list_price) > (
      SELECT
        average_sales
      FROM avg_sales
    )
) AS y
GROUP BY
  ROLLUP (
    channel,
    i_brand_id,
    i_class_id,
    i_category_id
  )
ORDER BY
  channel,
  i_brand_id,
  i_class_id,
  i_category_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['14a'])

Source

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