JoinOrder Q8a — Japanese Dubbed Movies

JoinOrder benchmark · all JoinOrder queries

Japanese dubbed movies by specific actress criteria (7 tables)

Representative SQL

Rendered for DataFusion with default parameters.

SELECT
  MIN(an1.name) AS actress_pseudonym,
  MIN(t.title) AS japanese_movie_dubbed
FROM aka_name AS an1, cast_info AS ci, company_name AS cn, movie_companies AS mc, name AS n1, role_type AS rt, title AS t
WHERE
  ci.note = '(voice: English version)'
  AND cn.country_code = '[jp]'
  AND mc.note LIKE '%(Japan)%'
  AND mc.note NOT LIKE '%(USA)%'
  AND n1.name LIKE '%Yo%'
  AND n1.name NOT LIKE '%Yu%'
  AND rt.role = 'actress'
  AND an1.person_id = n1.id
  AND n1.id = ci.person_id
  AND ci.movie_id = t.id
  AND t.id = mc.movie_id
  AND mc.company_id = cn.id
  AND ci.role_id = rt.id
  AND an1.person_id = ci.person_id
  AND ci.movie_id = mc.movie_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['8a'])

For the DataFrame form:

from benchbox.core.query_catalog import get_dataframe_render

print(get_dataframe_render('joinorder', '8a', family="expression").source)  # or family="pandas"

Source

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