TPC-DS-OBT Q30
TPC-DS-OBT benchmark · all TPC-DS-OBT queries
Representative SQL
Rendered for DataFusion with default parameters.
WITH customer_total_return AS ( SELECT obt.returning_customer_c_customer_sk AS ctr_customer_sk, obt.bill_addr_ca_state AS ctr_state, SUM(obt.return_amount) AS ctr_total_return FROM tpcds_sales_returns_obt AS obt WHERE ( obt.returned_date_sk = obt.sold_date_d_date_sk AND obt.sold_date_d_year = 1999 AND obt.returning_addr_ca_address_sk = obt.bill_addr_ca_address_sk ) AND channel = 'web' GROUP BY obt.returning_customer_c_customer_sk, obt.bill_addr_ca_state)SELECT bill_customer_c_customer_id, bill_customer_c_salutation, bill_customer_c_first_name, bill_customer_c_last_name, bill_customer_c_preferred_cust_flag, bill_customer_c_birth_day, bill_customer_c_birth_month, bill_customer_c_birth_year, bill_customer_c_birth_country, bill_customer_c_login, bill_customer_c_email_address, bill_customer_c_last_review_date_sk, ctr_total_returnFROM tpcds_sales_returns_obt AS obtCROSS JOIN customer_total_return AS ctr1WHERE ( ctr1.ctr_total_return > ( SELECT AVG(ctr_total_return) * 1.2 FROM customer_total_return AS ctr2 WHERE ctr1.ctr_state = ctr2.ctr_state ) AND bill_addr_ca_address_sk = bill_customer_c_current_addr_sk AND bill_addr_ca_state = '0' AND ctr1.ctr_customer_sk = bill_customer_c_customer_sk ) AND channel = 'web'ORDER BY bill_customer_c_customer_id, bill_customer_c_salutation, bill_customer_c_first_name, bill_customer_c_last_name, bill_customer_c_preferred_cust_flag, bill_customer_c_birth_day, bill_customer_c_birth_month, bill_customer_c_birth_year, bill_customer_c_birth_country, bill_customer_c_login, bill_customer_c_email_address, bill_customer_c_last_review_date_sk, ctr_total_returnLIMIT 100Representative 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 TPCDSOBT
bench = TPCDSOBT(scale_factor=1.0) # your scale factorqueries = bench.get_queries(dialect="datafusion") # your platform's dialect; drop dialect= for native SQLprint(queries['30'])Source
Query text: benchbox/core/tpcds_obt/queries.py