Read Primitives — Array Length

Read Primitives benchmark · all Read Primitives queries

Get array length/cardinality

Representative SQL

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

WITH supplier_parts AS (
  SELECT
    ps_suppkey,
    ARRAY_AGG(ps_partkey) AS parts
  FROM partsupp
  GROUP BY
    ps_suppkey
)
SELECT
  ps_suppkey,
  CARDINALITY(parts) AS num_parts
FROM supplier_parts
ORDER BY
  num_parts DESC,
  ps_suppkey
LIMIT 100

Representative DataFrame

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

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

    return (
        _expr_grouped_list(ctx, "partsupp", "ps_suppkey", "ps_partkey", "parts")
        .with_columns(col("parts").list.len().alias("num_parts"))
        .select("ps_suppkey", "num_parts")
        .sort(["num_parts", "ps_suppkey"], descending=[True, False])
        .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_length'])

For the DataFrame form:

from benchbox.core.query_catalog import get_dataframe_render

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

Source

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