H2ODB — Count
H2ODB benchmark · all H2ODB queries
Basic COUNT(*) full table scan
Representative SQL
Rendered for DataFusion with default parameters.
SELECT COUNT(*) AS countFROM tripsRepresentative DataFrame
Expression family (Polars, PySpark, DataFusion), default parameters.
def q1_expression_impl(ctx: DataFrameContext) -> Any:
trips = ctx.get_table("trips") col = ctx.col return trips.select(col("vendor_id").count().alias("count"))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 H2ODB
bench = H2ODB(scale_factor=0.01) # your scale factorqueries = bench.get_queries(dialect="datafusion") # your platform's dialect; drop dialect= for native SQLprint(queries['Q1'])For the DataFrame form:
from benchbox.core.query_catalog import get_dataframe_render
print(get_dataframe_render('h2odb', 'Q1', family="expression").source) # or family="pandas"Source
Query text: benchbox/core/h2odb/queries.py