Read Primitives — Array Sort

Read Primitives benchmark · all Read Primitives queries

Sort array elements

Representative SQL

Rendered for DataFusion with default parameters.

WITH part_sizes AS (
  SELECT
    p_brand,
    ARRAY_AGG(p_size) AS sizes
  FROM part
  GROUP BY
    p_brand
)
SELECT
  p_brand,
  ARRAY_SORT(sizes) AS sorted_sizes
FROM part_sizes
ORDER BY
  p_brand
LIMIT 50

Representative DataFrame

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

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

    return (
        _expr_grouped_list(ctx, "part", "p_brand", "p_size", "sizes")
        .with_columns(col("sizes").list.sort().alias("sorted_sizes"))
        .select("p_brand", "sorted_sizes")
        .sort("p_brand")
        .limit(50)
    )

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_sort'])

For the DataFrame form:

from benchbox.core.query_catalog import get_dataframe_render

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

Source

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