JoinOrder Q6b — Canonical JoinOrder 6b

JoinOrder benchmark · all JoinOrder queries

Canonical JoinOrder SQL query 6b; generated DataFrame translation

Representative SQL

Rendered for DataFusion with default parameters.

SELECT
  MIN(k.keyword) AS movie_keyword,
  MIN(n.name) AS actor_name,
  MIN(t.title) AS hero_movie
FROM cast_info AS ci, keyword AS k, movie_keyword AS mk, name AS n, title AS t
WHERE
  k.keyword IN (
    'superhero',
    'sequel',
    'second-part',
    'marvel-comics',
    'based-on-comic',
    'tv-special',
    'fight',
    'violence'
  )
  AND n.name LIKE '%Downey%Robert%'
  AND t.production_year > 2014
  AND k.id = mk.keyword_id
  AND t.id = mk.movie_id
  AND t.id = ci.movie_id
  AND ci.movie_id = mk.movie_id
  AND n.id = ci.person_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['6b'])

For the DataFrame form:

from benchbox.core.query_catalog import get_dataframe_render

print(get_dataframe_render('joinorder', '6b', family="expression").source)  # or family="pandas"

Source

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