Read Primitives — Window SUM

Read Primitives benchmark · all Read Primitives queries

Window function SUM() OVER (PARTITION BY …)

Representative SQL

Rendered for DataFusion with default parameters.

SELECT
  l_orderkey,
  l_linenumber,
  l_extendedprice,
  SUM(l_extendedprice) OVER (PARTITION BY l_orderkey) AS order_total
FROM lineitem

Representative DataFrame

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

def window_sum_expression_impl(ctx: DataFrameContext) -> Any:
    return (
        ctx.get_table("lineitem")
        .with_columns(ctx.window_sum("l_extendedprice", partition_by=["l_orderkey"]).alias("order_total"))
        .select("l_orderkey", "l_linenumber", "l_extendedprice", "order_total")
    )

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['window_sum'])

For the DataFrame form:

from benchbox.core.query_catalog import get_dataframe_render

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

Source

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