JoinOrder Q23b — Canonical JoinOrder 23b
JoinOrder benchmark · all JoinOrder queries
Canonical JoinOrder SQL query 23b; generated DataFrame translation
Representative SQL
Rendered for DataFusion with default parameters.
SELECT MIN(kt.kind) AS movie_kind, MIN(t.title) AS complete_nerdy_internet_movieFROM complete_cast AS cc, comp_cast_type AS cct1, company_name AS cn, company_type AS ct, info_type AS it1, keyword AS k, kind_type AS kt, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, title AS tWHERE cct1.kind = 'complete+verified' AND cn.country_code = '[us]' AND it1.info = 'release dates' AND k.keyword IN ('nerd', 'loner', 'alienation', 'dignity') AND kt.kind IN ('movie') AND mi.note LIKE '%internet%' AND mi.info LIKE 'USA:% 200%' AND t.production_year > 2000 AND kt.id = t.kind_id AND t.id = mi.movie_id AND t.id = mk.movie_id AND t.id = mc.movie_id AND t.id = cc.movie_id AND mk.movie_id = mi.movie_id AND mk.movie_id = mc.movie_id AND mk.movie_id = cc.movie_id AND mi.movie_id = mc.movie_id AND mi.movie_id = cc.movie_id AND mc.movie_id = cc.movie_id AND k.id = mk.keyword_id AND it1.id = mi.info_type_id AND cn.id = mc.company_id AND ct.id = mc.company_type_id AND cct1.id = cc.status_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['23b'])For the DataFrame form:
from benchbox.core.query_catalog import get_dataframe_render
print(get_dataframe_render('joinorder', '23b', family="expression").source) # or family="pandas"Source
Query text: benchbox/core/joinorder/queries.py