Read Primitives — Predicate Ordering Costs

Read Primitives benchmark · all Read Primitives queries

Order filter predicates by selectivity with result projection only

Representative SQL

Rendered for DataFusion with default parameters.

SELECT
  *
FROM lineitem
WHERE
  l_quantity > 45
  AND l_extendedprice > 50000
  AND l_discount < 0.05
  AND l_shipinstruct = 'DELIVER IN PERSON'
  AND l_shipmode IN ('AIR', 'AIR REG')
LIMIT 100

Representative DataFrame

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

def predicate_ordering_costs_expression_impl(ctx: DataFrameContext) -> Any:
    col, lit = ctx.col, ctx.lit
    return (
        ctx.get_table("lineitem")
        .filter(
            (col("l_quantity") > lit(45))
            & (col("l_extendedprice") > lit(50000))
            & (col("l_discount") < lit(0.05))
            & (col("l_shipinstruct") == lit("DELIVER IN PERSON"))
            & col("l_shipmode").is_in(["AIR", "AIR REG"])
        )
        .limit(100)
    )

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['predicate_ordering_costs'])

For the DataFrame form:

from benchbox.core.query_catalog import get_dataframe_render

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

Source

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