Read Primitives — Array Min/Max

Read Primitives benchmark · all Read Primitives queries

Get min and max from array

Representative SQL

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

WITH order_prices AS (
  SELECT
    o_custkey,
    ARRAY_AGG(o_totalprice) AS prices
  FROM orders
  GROUP BY
    o_custkey
)
SELECT
  o_custkey,
  ARRAY_MIN(prices) AS min_order,
  ARRAY_MAX(prices) AS max_order
FROM order_prices
ORDER BY
  o_custkey
LIMIT 100

Representative DataFrame

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

def array_min_max_expression_impl(ctx: DataFrameContext) -> Any:
    col = ctx.col

    return (
        _expr_grouped_list(ctx, "orders", "o_custkey", "o_totalprice", "prices")
        .with_columns(col("prices").list.min().alias("min_order"), col("prices").list.max().alias("max_order"))
        .select("o_custkey", "min_order", "max_order")
        .sort("o_custkey")
        .limit(100)
    )

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_min_max'])

For the DataFrame form:

from benchbox.core.query_catalog import get_dataframe_render

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

Source

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