Read Primitives — Array Unnest

Read Primitives benchmark · all Read Primitives queries

Unnest/explode array back to rows

Representative SQL

Rendered for DataFusion with default parameters.

WITH supplier_parts AS (
  SELECT
    ps_suppkey,
    ARRAY_AGG(ps_partkey) AS parts
  FROM partsupp
  WHERE
    ps_suppkey <= 10
  GROUP BY
    ps_suppkey
)
SELECT
  ps_suppkey,
  UNNEST(parts) AS part_key
FROM supplier_parts

Representative DataFrame

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

def array_unnest_expression_impl(ctx: DataFrameContext) -> Any:
    partsupp = ctx.get_table("partsupp")
    col = ctx.col
    lit = ctx.lit

    filtered = partsupp.filter(col("ps_suppkey") <= lit(10))
    supplier_parts = filtered.group_by("ps_suppkey").agg(col("ps_partkey").list().alias("parts"))

    return supplier_parts.explode("parts").rename({"parts": "part_key"})

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_unnest'])

For the DataFrame form:

from benchbox.core.query_catalog import get_dataframe_render

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

Source

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