Read Primitives — Map Keys/Values

Read Primitives benchmark · all Read Primitives queries

Extract keys and values from map

Representative SQL

Rendered for DataFusion with default parameters.

WITH supplier_costs AS (
  SELECT
    ps_suppkey,
    MAP(ARRAY_AGG(CAST(ps_partkey AS VARCHAR)), ARRAY_AGG(ps_supplycost)) AS part_costs
  FROM partsupp
  WHERE
    ps_suppkey <= 5
  GROUP BY
    ps_suppkey
)
SELECT
  ps_suppkey,
  MAP_KEYS(part_costs) AS part_ids,
  MAP_VALUES(part_costs) AS costs
FROM supplier_costs
ORDER BY
  ps_suppkey

Representative DataFrame

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

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

    return _partsupp_map_expression(ctx, 5).select(
        "ps_suppkey",
        col("part_costs").map.keys().alias("part_ids"),
        col("part_costs").map.values().alias("costs"),
    )

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['map_keys_values'])

For the DataFrame form:

from benchbox.core.query_catalog import get_dataframe_render

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

Source

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