Read Primitives — Window Moving Frame

Read Primitives benchmark · all Read Primitives queries

Window aggregations with complex moving frame definitions

Representative SQL

Rendered for DataFusion with default parameters.

SELECT
  o_orderkey,
  o_orderdate,
  o_totalprice,
  AVG(o_totalprice) OVER (ORDER BY o_orderdate, o_orderkey ROWS BETWEEN 5 PRECEDING AND CURRENT ROW) AS moving_avg_6_orders,
  SUM(o_totalprice) OVER (ORDER BY o_orderdate RANGE BETWEEN INTERVAL '30 DAY' PRECEDING AND CURRENT ROW) AS monthly_running_total
FROM orders
WHERE
  o_orderdate >= CAST('1995-01-01' AS DATE)
  AND o_orderdate < CAST('1996-01-01' AS DATE)
ORDER BY
  o_orderdate,
  o_orderkey

Representative DataFrame

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

def window_moving_frame_expression_impl(ctx: DataFrameContext) -> Any:
    import polars as pl

    lf = (
        ctx.get_table("orders")
        .native.filter((pl.col("o_orderdate") >= date(1995, 1, 1)) & (pl.col("o_orderdate") < date(1996, 1, 1)))
        .sort(["o_orderdate", "o_orderkey"])
    )
    return lf.with_columns(
        pl.col("o_totalprice").rolling_mean(window_size=6, min_samples=1).alias("moving_avg_6_orders"),
        pl.col("o_totalprice")
        .rolling_sum_by("o_orderdate", window_size="30d", closed="both")
        .alias("monthly_running_total"),
    ).select("o_orderkey", "o_orderdate", "o_totalprice", "moving_avg_6_orders", "monthly_running_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_moving_frame'])

For the DataFrame form:

from benchbox.core.query_catalog import get_dataframe_render

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

Source

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