Read Primitives — Selective Aggregation

Read Primitives benchmark · all Read Primitives queries

Aggregate on a small subset of rows

Representative SQL

Rendered for DataFusion with default parameters.

SELECT
  SUM(l_extendedprice * l_discount) AS total_discount_amount
FROM lineitem
WHERE
  l_discount > 0.05 AND l_quantity < 24

Representative DataFrame

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

def aggregation_selective_expression_impl(ctx: DataFrameContext) -> Any:
    col, lit = ctx.col, ctx.lit
    return (
        ctx.get_table("lineitem")
        .filter((col("l_discount") > lit(0.05)) & (col("l_quantity") < lit(24)))
        .select((col("l_extendedprice") * col("l_discount")).sum().alias("total_discount_amount"))
    )

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['aggregation_selective'])

For the DataFrame form:

from benchbox.core.query_catalog import get_dataframe_render

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

Source

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