TPC-DI VQ3
TPC-DI benchmark · all TPC-DI queries
Representative SQL
Rendered for DataFusion with default parameters.
SELECT 'Data Completeness - Core Tables' AS validation_name, table_name, total_records, null_key_columns, CASE WHEN null_key_columns = 0 THEN 'PASS' ELSE 'FAIL' END AS statusFROM ( SELECT 'DimCustomer' AS table_name, COUNT(*) AS total_records, SUM( CASE WHEN CustomerID IS NULL OR TaxID IS NULL OR Status IS NULL THEN 1 ELSE 0 END ) AS null_key_columns FROM DimCustomer WHERE IsCurrent IS TRUE UNION ALL SELECT 'DimAccount' AS table_name, COUNT(*) AS total_records, SUM( CASE WHEN AccountID IS NULL OR SK_CustomerID IS NULL OR Status IS NULL THEN 1 ELSE 0 END ) AS null_key_columns FROM DimAccount WHERE IsCurrent IS TRUE UNION ALL SELECT 'DimSecurity' AS table_name, COUNT(*) AS total_records, SUM(CASE WHEN Symbol IS NULL OR Name IS NULL OR ExchangeID IS NULL THEN 1 ELSE 0 END) AS null_key_columns FROM DimSecurity WHERE IsCurrent IS TRUE UNION ALL SELECT 'DimCompany' AS table_name, COUNT(*) AS total_records, SUM( CASE WHEN CompanyID IS NULL OR Name IS NULL OR Industry IS NULL THEN 1 ELSE 0 END ) AS null_key_columns FROM DimCompany WHERE IsCurrent IS TRUE UNION ALL SELECT 'FactTrade' AS table_name, COUNT(*) AS total_records, SUM( CASE WHEN TradeID IS NULL OR SK_CustomerID IS NULL OR SK_SecurityID IS NULL THEN 1 ELSE 0 END ) AS null_key_columns FROM FactTrade) AS completeness_checkORDER BY table_nameRepresentative 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 factorqueries = bench.get_queries(dialect="datafusion") # your platform's dialect; drop dialect= for native SQLprint(queries['VQ3'])Source
Query text: benchbox/core/tpcdi/query_validation.py