Read Primitives — Simple Text Search

Read Primitives benchmark · all Read Primitives queries

Basic full-text search using string pattern matching

Representative SQL

Rendered in the benchmark’s native SQL with default parameters (no dialect translation available).

SELECT
  p_partkey,
  p_name,
  p_mfgr,
  p_comment
FROM part
WHERE
  MATCH(p_name, p_comment) AGAINST('STEEL COPPER' IN NATURAL LANGUAGE MODE)
LIMIT 100

Representative DataFrame

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

def fulltext_simple_search_expression_impl(ctx: DataFrameContext) -> Any:
    part = ctx.get_table("part")
    col = ctx.col

    return (
        part.filter(
            col("p_name").str.contains("STEEL")
            | col("p_name").str.contains("COPPER")
            | col("p_comment").str.contains("STEEL")
            | col("p_comment").str.contains("COPPER")
        )
        .select("p_partkey", "p_name", "p_mfgr", "p_comment")
        .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['fulltext_simple_search'])

For the DataFrame form:

from benchbox.core.query_catalog import get_dataframe_render

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

Source

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