ClickBench — Unique Users

ClickBench benchmark · all ClickBench queries

COUNT(DISTINCT UserID) - cardinality estimation

Representative SQL

Rendered for DataFusion with default parameters.

SELECT
  COUNT(DISTINCT UserID)
FROM hits

Representative DataFrame

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

def impl(ctx: DataFrameContext) -> Any:
        hits = _expr_filter(ctx, _hits(ctx), filter_code)
        return hits.select(*[_expr_agg(ctx, token) for token in agg_spec.split(";")])

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 ClickBench

bench = ClickBench(scale_factor=1.0)            # your scale factor
queries = bench.get_queries(dialect="datafusion")   # your platform's dialect; drop dialect= for native SQL
print(queries['Q5'])

For the DataFrame form:

from benchbox.core.query_catalog import get_dataframe_render

print(get_dataframe_render('clickbench', 'Q5', family="expression").source)  # or family="pandas"

Source

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