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TPC-DS Q49 — Three-Channel Return Ratio Ranking

TPC-DS benchmark · all TPC-DS queries

Calculates return and currency ratios per item across channels with ranking

Representative SQL

Rendered for DataFusion with default parameters.

SELECT
channel,
item,
return_ratio,
return_rank,
currency_rank
FROM (
SELECT
'web' AS channel,
web.item,
web.return_ratio,
web.return_rank,
web.currency_rank
FROM (
SELECT
item,
return_ratio,
currency_ratio,
RANK() OVER (ORDER BY return_ratio) AS return_rank,
RANK() OVER (ORDER BY currency_ratio) AS currency_rank
FROM (
SELECT
ws.ws_item_sk AS item,
(
CAST(SUM(COALESCE(wr.wr_return_quantity, 0)) AS DECIMAL(15, 4)) / CAST(SUM(COALESCE(ws.ws_quantity, 0)) AS DECIMAL(15, 4))
) AS return_ratio,
(
CAST(SUM(COALESCE(wr.wr_return_amt, 0)) AS DECIMAL(15, 4)) / CAST(SUM(COALESCE(ws.ws_net_paid, 0)) AS DECIMAL(15, 4))
) AS currency_ratio
FROM web_sales AS ws
LEFT OUTER JOIN web_returns AS wr
ON (
ws.ws_order_number = wr.wr_order_number AND ws.ws_item_sk = wr.wr_item_sk
), date_dim
WHERE
wr.wr_return_amt > 10000
AND ws.ws_net_profit > 1
AND ws.ws_net_paid > 0
AND ws.ws_quantity > 0
AND ws_sold_date_sk = d_date_sk
AND d_year = 2000
AND d_moy = 12
GROUP BY
ws.ws_item_sk
) AS in_web
) AS web
WHERE
(
web.return_rank <= 10 OR web.currency_rank <= 10
)
UNION
SELECT
'catalog' AS channel,
catalog.item,
catalog.return_ratio,
catalog.return_rank,
catalog.currency_rank
FROM (
SELECT
item,
return_ratio,
currency_ratio,
RANK() OVER (ORDER BY return_ratio) AS return_rank,
RANK() OVER (ORDER BY currency_ratio) AS currency_rank
FROM (
SELECT
cs.cs_item_sk AS item,
(
CAST(SUM(COALESCE(cr.cr_return_quantity, 0)) AS DECIMAL(15, 4)) / CAST(SUM(COALESCE(cs.cs_quantity, 0)) AS DECIMAL(15, 4))
) AS return_ratio,
(
CAST(SUM(COALESCE(cr.cr_return_amount, 0)) AS DECIMAL(15, 4)) / CAST(SUM(COALESCE(cs.cs_net_paid, 0)) AS DECIMAL(15, 4))
) AS currency_ratio
FROM catalog_sales AS cs
LEFT OUTER JOIN catalog_returns AS cr
ON (
cs.cs_order_number = cr.cr_order_number AND cs.cs_item_sk = cr.cr_item_sk
), date_dim
WHERE
cr.cr_return_amount > 10000
AND cs.cs_net_profit > 1
AND cs.cs_net_paid > 0
AND cs.cs_quantity > 0
AND cs_sold_date_sk = d_date_sk
AND d_year = 2000
AND d_moy = 12
GROUP BY
cs.cs_item_sk
) AS in_cat
) AS catalog
WHERE
(
catalog.return_rank <= 10 OR catalog.currency_rank <= 10
)
UNION
SELECT
'store' AS channel,
store.item,
store.return_ratio,
store.return_rank,
store.currency_rank
FROM (
SELECT
item,
return_ratio,
currency_ratio,
RANK() OVER (ORDER BY return_ratio) AS return_rank,
RANK() OVER (ORDER BY currency_ratio) AS currency_rank
FROM (
SELECT
sts.ss_item_sk AS item,
(
CAST(SUM(COALESCE(sr.sr_return_quantity, 0)) AS DECIMAL(15, 4)) / CAST(SUM(COALESCE(sts.ss_quantity, 0)) AS DECIMAL(15, 4))
) AS return_ratio,
(
CAST(SUM(COALESCE(sr.sr_return_amt, 0)) AS DECIMAL(15, 4)) / CAST(SUM(COALESCE(sts.ss_net_paid, 0)) AS DECIMAL(15, 4))
) AS currency_ratio
FROM store_sales AS sts
LEFT OUTER JOIN store_returns AS sr
ON (
sts.ss_ticket_number = sr.sr_ticket_number AND sts.ss_item_sk = sr.sr_item_sk
), date_dim
WHERE
sr.sr_return_amt > 10000
AND sts.ss_net_profit > 1
AND sts.ss_net_paid > 0
AND sts.ss_quantity > 0
AND ss_sold_date_sk = d_date_sk
AND d_year = 2000
AND d_moy = 12
GROUP BY
sts.ss_item_sk
) AS in_store
) AS store
WHERE
(
store.return_rank <= 10 OR store.currency_rank <= 10
)
)
ORDER BY
1,
4,
5,
2
LIMIT 100

Representative DataFrame

Expression family (Polars, PySpark, DataFusion), default parameters.

def q49_expression_impl(ctx: DataFrameContext) -> Any:
return _three_channel_return_ratio_expression(ctx, 49)

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 TPCDS
bench = TPCDS(scale_factor=1.0) # your scale factor
queries = bench.get_queries(dialect="datafusion") # your platform's dialect; drop dialect= for native SQL
print(queries['49'])

Parameter substitution for this benchmark is seed-driven; pass a seed for a specific stream’s parameters:

print(bench.get_query(49, scale_factor=1.0, seed=42, dialect="datafusion"))

For the DataFrame form:

from benchbox.core.query_catalog import get_dataframe_render
print(get_dataframe_render('tpcds', '49', family="expression").source) # or family="pandas"

Source

Query text: _sources/tpc-ds/query_templates/query49.tpl