JoinOrder Q1c — Canonical JoinOrder 1c
JoinOrder benchmark · all JoinOrder queries
Canonical JoinOrder SQL query 1c; generated DataFrame translation
Representative SQL
Rendered for DataFusion with default parameters.
SELECT MIN(mc.note) AS production_note, MIN(t.title) AS movie_title, MIN(t.production_year) AS movie_yearFROM company_type AS ct, info_type AS it, movie_companies AS mc, movie_info_idx AS mi_idx, title AS tWHERE ct.kind = 'production companies' AND it.info = 'top 250 rank' AND mc.note NOT LIKE '%(as Metro-Goldwyn-Mayer Pictures)%' AND ( mc.note LIKE '%(co-production)%' ) AND t.production_year > 2010 AND ct.id = mc.company_type_id AND t.id = mc.movie_id AND t.id = mi_idx.movie_id AND mc.movie_id = mi_idx.movie_id AND it.id = mi_idx.info_type_idRepresentative 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 factorqueries = bench.get_queries(dialect="datafusion") # your platform's dialect; drop dialect= for native SQLprint(queries['1c'])For the DataFrame form:
from benchbox.core.query_catalog import get_dataframe_render
print(get_dataframe_render('joinorder', '1c', family="expression").source) # or family="pandas"Source
Query text: benchbox/core/joinorder/queries.py