Read Primitives — Low NDV GroupBy

Read Primitives benchmark · all Read Primitives queries

GROUP BY with low distinct value count (few groups)

Representative SQL

Rendered for DataFusion with default parameters.

SELECT
  o_orderpriority,
  COUNT(*) AS order_count
FROM orders
GROUP BY
  o_orderpriority

Representative DataFrame

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

def impl(ctx: DataFrameContext) -> Any:
        return aggregation_groupby_impl(
            ctx,
            table_name=table_name,
            group_cols=group_cols,
            agg_specs=agg_specs,
            conditions=conditions,
            sort_cols=sort_cols,
            sort_desc=sort_desc,
            limit=limit,
        )

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['groupby_bigint_lowndv'])

For the DataFrame form:

from benchbox.core.query_catalog import get_dataframe_render

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

Source

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