ClickBench — Traffic Source CASE WHEN

ClickBench benchmark · all ClickBench queries

Traffic source analysis with CASE WHEN conditional and OFFSET

Representative SQL

Rendered for DataFusion with default parameters.

SELECT
  TraficSourceID,
  SearchEngineID,
  AdvEngineID,
  CASE WHEN (
    SearchEngineID = 0 AND AdvEngineID = 0
  ) THEN Referer ELSE '' END AS Src,
  URL AS Dst,
  COUNT(*) AS PageViews
FROM hits
WHERE
  CounterID = 62
  AND EventDate >= '2013-07-01'
  AND EventDate <= '2013-07-31'
  AND IsRefresh = 0
GROUP BY
  TraficSourceID,
  SearchEngineID,
  AdvEngineID,
  Src,
  Dst
ORDER BY
  PageViews DESC
LIMIT 10
OFFSET 1000

Representative DataFrame

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

def impl(ctx: DataFrameContext) -> Any:
        result = _expr_filter(ctx, _hits(ctx), filter_code)
        result = _expr_derive(ctx, result, derive_code)
        result = result.group_by(*groups).agg(*[_expr_agg(ctx, token) for token in agg_spec.split(";")])
        if sort_spec:
            sort_cols, descending = _sort_parts(sort_spec)
            result = result.sort(sort_cols, descending=descending)
        if offset:
            return result.slice(offset, limit)
        return result.limit(limit) if limit else result

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['Q40'])

For the DataFrame form:

from benchbox.core.query_catalog import get_dataframe_render

print(get_dataframe_render('clickbench', 'Q40', family="expression").source)  # or family="pandas"

Source

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