Read Primitives — Date Conversion Filter

Read Primitives benchmark · all Read Primitives queries

Date parsing and conversion function performance

Representative SQL

Rendered for DataFusion with default parameters.

SELECT
  COUNT(*) AS orders_by_month
FROM orders
WHERE
  o_orderdate = TO_DATE('1995-03-15')

Representative DataFrame

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

def expression_impl(ctx: DataFrameContext) -> Any:
        table = ctx.get_table(table_name)
        return table.filter(_expr_count_filter_predicate(ctx, column_name, op, value, lower)).select(
            ctx.col(count_col).count().alias(alias)
        )

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['intrinsic_to_date'])

For the DataFrame form:

from benchbox.core.query_catalog import get_dataframe_render

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

Source

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