JoinOrder Q32b — Canonical JoinOrder 32b

JoinOrder benchmark · all JoinOrder queries

Canonical JoinOrder SQL query 32b; generated DataFrame translation

Representative SQL

Rendered for DataFusion with default parameters.

SELECT
  MIN(lt.link) AS link_type,
  MIN(t1.title) AS first_movie,
  MIN(t2.title) AS second_movie
FROM keyword AS k, link_type AS lt, movie_keyword AS mk, movie_link AS ml, title AS t1, title AS t2
WHERE
  k.keyword = 'character-name-in-title'
  AND mk.keyword_id = k.id
  AND t1.id = mk.movie_id
  AND ml.movie_id = t1.id
  AND ml.linked_movie_id = t2.id
  AND lt.id = ml.link_type_id
  AND mk.movie_id = t1.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['32b'])

For the DataFrame form:

from benchbox.core.query_catalog import get_dataframe_render

print(get_dataframe_render('joinorder', '32b', family="expression").source)  # or family="pandas"

Source

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