Read Primitives — Boolean Text Search

Read Primitives benchmark · all Read Primitives queries

Boolean text search with AND/NOT operators

Representative SQL

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

SELECT
  c_custkey,
  c_name,
  c_comment,
  MATCH(c_comment) AGAINST('+BUILDING -FURNITURE' IN BOOLEAN MODE) AS relevance_score
FROM customer
WHERE
  MATCH(c_comment) AGAINST('+BUILDING -FURNITURE' IN BOOLEAN MODE)
ORDER BY
  relevance_score DESC
LIMIT 50

Representative DataFrame

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

def fulltext_boolean_search_expression_impl(ctx: DataFrameContext) -> Any:
    customer = ctx.get_table("customer")
    col = ctx.col

    return (
        customer.filter(col("c_comment").str.contains("BUILDING") & ~col("c_comment").str.contains("FURNITURE"))
        .with_columns(col("c_comment").str.contains("BUILDING").cast(int).alias("relevance_score"))
        .select("c_custkey", "c_name", "c_comment", "relevance_score")
        .sort("relevance_score", descending=True)
        .limit(50)
    )

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_boolean_search'])

For the DataFrame form:

from benchbox.core.query_catalog import get_dataframe_render

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

Source

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