Read Primitives — Broadcast Join (3 tables)

Read Primitives benchmark · all Read Primitives queries

Two small tables broadcast to join with one large table

Representative SQL

Rendered for DataFusion with default parameters.

/* + BROADCAST(n, r) */
SELECT
  r.r_name,
  n.n_name,
  COUNT(*) AS supplier_count
FROM supplier AS s
JOIN nation AS n
  ON s.s_nationkey = n.n_nationkey
JOIN region AS r
  ON n.n_regionkey = r.r_regionkey
GROUP BY
  r.r_name,
  n.n_name

Representative DataFrame

Expression family (Polars, PySpark, DataFusion), default parameters.

def broadcast_join_three_tables_expression_impl(ctx: DataFrameContext) -> Any:
    return (
        ctx.get_table("supplier")
        .join(ctx.get_table("nation"), left_on="s_nationkey", right_on="n_nationkey")
        .join(ctx.get_table("region"), left_on="n_regionkey", right_on="r_regionkey")
        .group_by("r_name", "n_name")
        .agg(ctx.col("s_suppkey").count().alias("supplier_count"))
    )

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 ReadPrimitives

bench = ReadPrimitives(scale_factor=0.01)            # your scale factor
queries = bench.get_queries(dialect="datafusion")   # your platform's dialect; drop dialect= for native SQL
print(queries['broadcast_join_three_tables'])

For the DataFrame form:

from benchbox.core.query_catalog import get_dataframe_render

print(get_dataframe_render('read_primitives', 'broadcast_join_three_tables', family="expression").source)  # or family="pandas"

Source

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