JoinOrder Q10c — Canonical JoinOrder 10c

JoinOrder benchmark · all JoinOrder queries

Canonical JoinOrder SQL query 10c; generated DataFrame translation

Representative SQL

Rendered for DataFusion with default parameters.

SELECT
  MIN(chn.name) AS character,
  MIN(t.title) AS movie_with_american_producer
FROM char_name AS chn, cast_info AS ci, company_name AS cn, company_type AS ct, movie_companies AS mc, role_type AS rt, title AS t
WHERE
  ci.note LIKE '%(producer)%'
  AND cn.country_code = '[us]'
  AND t.production_year > 1990
  AND t.id = mc.movie_id
  AND t.id = ci.movie_id
  AND ci.movie_id = mc.movie_id
  AND chn.id = ci.person_role_id
  AND rt.id = ci.role_id
  AND cn.id = mc.company_id
  AND ct.id = mc.company_type_id

Representative DataFrame

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

def _impl(ctx: DataFrameContext) -> Any:
        return _execute_joinorder_expression_query(ctx, query_id)

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 JoinOrder

bench = JoinOrder(scale_factor=1.0)            # your scale factor
queries = bench.get_queries(dialect="datafusion")   # your platform's dialect; drop dialect= for native SQL
print(queries['10c'])

For the DataFrame form:

from benchbox.core.query_catalog import get_dataframe_render

print(get_dataframe_render('joinorder', '10c', family="expression").source)  # or family="pandas"

Source

Query text: benchbox/core/joinorder/queries.py