TPC-DS Q37 — Item Inventory Analysis

TPC-DS benchmark · all TPC-DS queries

Reports items in inventory within price and date constraints

Representative SQL

Rendered for DataFusion with default parameters.

SELECT
  i_item_id,
  i_item_desc,
  i_current_price
FROM item, inventory, date_dim, catalog_sales
WHERE
  i_current_price BETWEEN 22 AND 22 + 30
  AND inv_item_sk = i_item_sk
  AND d_date_sk = inv_date_sk
  AND d_date BETWEEN CAST('2001-06-02' AS DATE) AND (
    CAST('2001-06-02' AS DATE) + INTERVAL '60 DAY'
  )
  AND i_manufact_id IN (678, 964, 918, 849)
  AND inv_quantity_on_hand BETWEEN 100 AND 500
  AND cs_item_sk = i_item_sk
GROUP BY
  i_item_id,
  i_item_desc,
  i_current_price
ORDER BY
  i_item_id
LIMIT 100

Representative DataFrame

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

def impl(ctx: DataFrameContext) -> Any:
        return helper(ctx, query_id, *helper_args)

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['37'])

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

print(bench.get_query(37, 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', '37', family="expression").source)  # or family="pandas"

Source

Query text: _sources/tpc-ds/query_templates/query37.tpl