Skip to content

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_animation
FROM 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 t
WHERE
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_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['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