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_rankFROM ( 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, 2LIMIT 100Representative 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 factorqueries = bench.get_queries(dialect="datafusion") # your platform's dialect; drop dialect= for native SQLprint(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