JoinOrder Q29c — Canonical JoinOrder 29c
JoinOrder benchmark · all JoinOrder queries
Canonical JoinOrder SQL query 29c; generated DataFrame translation
Representative SQL
Rendered for DataFusion with default parameters.
SELECT MIN(chn.name) AS voiced_char, MIN(n.name) AS voicing_actress, MIN(t.title) AS voiced_animationFROM aka_name AS an, complete_cast AS cc, comp_cast_type AS cct1, comp_cast_type AS cct2, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, info_type AS it3, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, person_info AS pi, role_type AS rt, title AS tWHERE cct1.kind = 'cast' AND cct2.kind = 'complete+verified' AND ci.note IN ( '(voice)', '(voice: Japanese version)', '(voice) (uncredited)', '(voice: English version)' ) AND cn.country_code = '[us]' AND it.info = 'release dates' AND it3.info = 'trivia' AND k.keyword = 'computer-animation' AND mi.info IS NOT NULL AND ( mi.info LIKE 'Japan:%200%' OR mi.info LIKE 'USA:%200%' ) AND n.gender = 'f' AND n.name LIKE '%An%' AND rt.role = 'actress' AND t.production_year BETWEEN 2000 AND 2010 AND t.id = mi.movie_id AND t.id = mc.movie_id AND t.id = ci.movie_id AND t.id = mk.movie_id AND t.id = cc.movie_id AND mc.movie_id = ci.movie_id AND mc.movie_id = mi.movie_id AND mc.movie_id = mk.movie_id AND mc.movie_id = cc.movie_id AND mi.movie_id = ci.movie_id AND mi.movie_id = mk.movie_id AND mi.movie_id = cc.movie_id AND ci.movie_id = mk.movie_id AND ci.movie_id = cc.movie_id AND mk.movie_id = cc.movie_id AND cn.id = mc.company_id AND it.id = mi.info_type_id AND n.id = ci.person_id AND rt.id = ci.role_id AND n.id = an.person_id AND ci.person_id = an.person_id AND chn.id = ci.person_role_id AND n.id = pi.person_id AND ci.person_id = pi.person_id AND it3.id = pi.info_type_id AND k.id = mk.keyword_id AND cct1.id = cc.subject_id AND cct2.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['29c'])For the DataFrame form:
from benchbox.core.query_catalog import get_dataframe_render
print(get_dataframe_render('joinorder', '29c', family="expression").source) # or family="pandas"Source
Query text: benchbox/core/joinorder/queries.py