Read Primitives — String Selective Filter
Read Primitives benchmark · all Read Primitives queries
Exact string equality with high selectivity on varchar column
Representative SQL
Rendered for DataFusion with default parameters.
SELECT *FROM customerWHERE c_name = 'Customer#000001234'Representative DataFrame
Expression family (Polars, PySpark, DataFusion), default parameters.
def expression_impl(ctx: DataFrameContext) -> Any: table = ctx.get_table(table_name) if conditions: table = table.filter(_expr_combined_filter(ctx, conditions)) result = table.select(*columns) return result.limit(limit) if limit is not None else resultGet 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 factorqueries = bench.get_queries(dialect="datafusion") # your platform's dialect; drop dialect= for native SQLprint(queries['filter_string_selective'])For the DataFrame form:
from benchbox.core.query_catalog import get_dataframe_render
print(get_dataframe_render('read_primitives', 'filter_string_selective', family="expression").source) # or family="pandas"Source
Query text: benchbox/core/read_primitives/queries.py