JoinOrder Q4a — Sequel Movies with High Rating

JoinOrder benchmark · all JoinOrder queries

Sequel movies with rating > 2.0 after 1990 (5 tables)

Representative SQL

Rendered for DataFusion with default parameters.

SELECT
  MIN(mi_idx.info) AS rating,
  MIN(t.title) AS movie_title
FROM info_type AS it, keyword AS k, movie_info_idx AS mi_idx, movie_keyword AS mk, title AS t
WHERE
  it.info = 'rating'
  AND k.keyword LIKE '%sequel%'
  AND mi_idx.info > '5.0'
  AND t.production_year > 2005
  AND t.id = mi_idx.movie_id
  AND t.id = mk.movie_id
  AND mk.movie_id = mi_idx.movie_id
  AND k.id = mk.keyword_id
  AND it.id = mi_idx.info_type_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['4a'])

For the DataFrame form:

from benchbox.core.query_catalog import get_dataframe_render

print(get_dataframe_render('joinorder', '4a', family="expression").source)  # or family="pandas"

Source

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