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TPC-DS-OBT Q67

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

Representative SQL

Rendered for DataFusion with default parameters.

SELECT
*
FROM (
SELECT
item_i_category,
item_i_class,
item_i_brand,
item_i_product_name,
sold_date_d_year,
sold_date_d_qoy,
sold_date_d_moy,
store_s_store_id,
sumsales,
RANK() OVER (PARTITION BY item_i_category ORDER BY sumsales DESC) AS rk
FROM (
SELECT
obt.item_i_category,
obt.item_i_class,
obt.item_i_brand,
obt.item_i_product_name,
obt.sold_date_d_year,
obt.sold_date_d_qoy,
obt.sold_date_d_moy,
obt.store_s_store_id,
SUM(COALESCE(obt.sales_price * obt.quantity, 0)) AS sumsales
FROM tpcds_sales_returns_obt AS obt
WHERE
(
obt.sold_date_sk = obt.sold_date_d_date_sk
AND obt.item_sk = obt.item_i_item_sk
AND obt.store_sk = obt.store_s_store_sk
AND obt.sold_date_d_month_seq BETWEEN 1176 AND 1176 + 11
)
AND channel = 'store'
GROUP BY
ROLLUP (
obt.item_i_category,
obt.item_i_class,
obt.item_i_brand,
obt.item_i_product_name,
obt.sold_date_d_year,
obt.sold_date_d_qoy,
obt.sold_date_d_moy,
obt.store_s_store_id
)
) AS dw1
) AS dw2
WHERE
rk <= 100
ORDER BY
item_i_category,
item_i_class,
item_i_brand,
item_i_product_name,
sold_date_d_year,
sold_date_d_qoy,
sold_date_d_moy,
store_s_store_id,
sumsales,
rk
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['67'])

Source

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