TPC-DI AQ6

TPC-DI benchmark · all TPC-DI queries

Representative SQL

Rendered for DataFusion with default parameters.

SELECT
  'Industry Sector Performance Analysis' AS analysis_name,
  comp.Industry,
  COUNT(DISTINCT comp.SK_CompanyID) AS companies_in_sector,
  COUNT(DISTINCT s.SK_SecurityID) AS securities_in_sector,
  COUNT(t.TradeID) AS total_sector_trades,
  SUM(t.Quantity * t.TradePrice) AS total_sector_value,
  AVG(t.TradePrice) AS avg_sector_price,
  SUM(t.Quantity) AS total_sector_volume,
  AVG(comp.MarketCap) AS avg_market_cap,
  AVG(mh.PERatio) AS avg_sector_pe_ratio,
  AVG(mh.Yield) AS avg_sector_yield,
  AVG(mh.ClosePrice) AS avg_closing_price,
  STDDEV(mh.ClosePrice) AS price_volatility,
  COUNT(
    CASE WHEN comp.SPrating IN ('AAA', 'AA+', 'AA', 'AA-', 'A+', 'A', 'A-') THEN 1 END
  ) AS investment_grade_companies,
  COUNT(
    CASE
      WHEN comp.SPrating IN ('BBB+', 'BBB', 'BBB-', 'BB+', 'BB', 'BB-', 'B+', 'B', 'B-', 'CCC')
      THEN 1
    END
  ) AS speculative_grade_companies,
  SUM(t.Quantity * t.TradePrice) / SUM(SUM(t.Quantity * t.TradePrice)) OVER () * 100 AS sector_market_share_pct
FROM DimCompany AS comp
JOIN DimSecurity AS s
  ON comp.SK_CompanyID = s.SK_CompanyID
LEFT JOIN FactTrade AS t
  ON s.SK_SecurityID = t.SK_SecurityID
LEFT JOIN FactMarketHistory AS mh
  ON s.SK_SecurityID = mh.SK_SecurityID
LEFT JOIN DimDate AS d
  ON t.SK_CreateDateID = d.SK_DateID
WHERE
  comp.IsCurrent IS TRUE
  AND s.IsCurrent IS TRUE
  AND (
    d.CalendarYearID >= 2015 AND d.CalendarYearID <= 2019
  )
  AND t.Status = 'Completed'
GROUP BY
  comp.Industry
HAVING
  COUNT(t.TradeID) > 10
ORDER BY
  total_sector_value DESC,
  avg_sector_pe_ratio ASC
LIMIT 50

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 TPCDI

bench = TPCDI(scale_factor=0.01)            # your scale factor
queries = bench.get_queries(dialect="datafusion")   # your platform's dialect; drop dialect= for native SQL
print(queries['AQ6'])

Source

Query text: benchbox/core/tpcdi/query_analytics.py