Read Primitives optimizer_scalar_subquery_flattening

Read Primitives benchmark · all Read Primitives queries

Representative SQL

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

SELECT
  c.c_name,
  c.c_mktsegment,
  c.c_acctbal,
  (
    SELECT
      AVG(o.o_totalprice)
    FROM orders AS o
    WHERE
      o.o_custkey = c.c_custkey AND o.o_orderdate >= CAST('1995-01-01' AS DATE)
  ) AS avg_order_value,
  (
    SELECT
      COUNT(o.o_orderkey)
    FROM orders AS o
    WHERE
      o.o_custkey = c.c_custkey AND o.o_orderdate >= CAST('1995-01-01' AS DATE)
  ) AS order_count
FROM customer AS c
WHERE
  c.c_nationkey = 15 AND c.c_acctbal > 5000
ORDER BY
  avg_order_value DESC,
  c.c_name
LIMIT 100

Representative DataFrame

No DataFrame implementation is registered for this query.

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['optimizer_scalar_subquery_flattening'])

Source

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