JoinOrder Q24b — Canonical JoinOrder 24b

JoinOrder benchmark · all JoinOrder queries

Canonical JoinOrder SQL query 24b; generated DataFrame translation

Representative SQL

Rendered for DataFusion with default parameters.

SELECT
  MIN(chn.name) AS voiced_char_name,
  MIN(n.name) AS voicing_actress_name,
  MIN(t.title) AS kung_fu_panda
FROM aka_name AS an, char_name AS chn, cast_info AS ci, company_name AS cn, info_type AS it, keyword AS k, movie_companies AS mc, movie_info AS mi, movie_keyword AS mk, name AS n, role_type AS rt, title AS t
WHERE
  ci.note IN (
    '(voice)',
    '(voice: Japanese version)',
    '(voice) (uncredited)',
    '(voice: English version)'
  )
  AND cn.country_code = '[us]'
  AND cn.name = 'DreamWorks Animation'
  AND it.info = 'release dates'
  AND k.keyword IN ('hero', 'martial-arts', 'hand-to-hand-combat', 'computer-animated-movie')
  AND mi.info IS NOT NULL
  AND (
    mi.info LIKE 'Japan:%201%' OR mi.info LIKE 'USA:%201%'
  )
  AND n.gender = 'f'
  AND n.name LIKE '%An%'
  AND rt.role = 'actress'
  AND t.production_year > 2010
  AND t.title LIKE 'Kung Fu Panda%'
  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 mc.movie_id = ci.movie_id
  AND mc.movie_id = mi.movie_id
  AND mc.movie_id = mk.movie_id
  AND mi.movie_id = ci.movie_id
  AND mi.movie_id = mk.movie_id
  AND ci.movie_id = mk.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 k.id = mk.keyword_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['24b'])

For the DataFrame form:

from benchbox.core.query_catalog import get_dataframe_render

print(get_dataframe_render('joinorder', '24b', family="expression").source)  # or family="pandas"

Source

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