Read Primitives — Distinct Array Aggregation

Read Primitives benchmark · all Read Primitives queries

Distinct array aggregation

Representative SQL

Rendered for DataFusion with default parameters.

SELECT
  c_mktsegment,
  ARRAY_AGG(DISTINCT c_nationkey ORDER BY c_nationkey) AS nation_keys
FROM customer
GROUP BY
  c_mktsegment
ORDER BY
  c_mktsegment

Representative DataFrame

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

def array_agg_distinct_expression_impl(ctx: DataFrameContext) -> Any:
    return (
        ctx.get_table("customer")
        .group_by("c_mktsegment")
        .agg(ctx.col("c_nationkey").unique().sort().alias("nation_keys"))
        .sort("c_mktsegment")
    )

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['array_agg_distinct'])

For the DataFrame form:

from benchbox.core.query_catalog import get_dataframe_render

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

Source

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