Metadata complex_type_distribution

Metadata benchmark · all Metadata queries

Representative SQL

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

SELECT
  table_name,
  SUM(
    CASE
      WHEN data_type LIKE '%[]%'
      OR data_type LIKE 'ARRAY%'
      OR data_type LIKE 'STRUCT%'
      OR data_type LIKE 'MAP%'
      THEN 1
      ELSE 0
    END
  ) AS complex_columns,
  SUM(
    CASE
      WHEN data_type NOT LIKE '%[]%'
      AND data_type NOT LIKE 'ARRAY%'
      AND data_type NOT LIKE 'STRUCT%'
      AND data_type NOT LIKE 'MAP%'
      THEN 1
      ELSE 0
    END
  ) AS scalar_columns
FROM information_schema.columns
WHERE
  table_name LIKE 'benchbox_%'
GROUP BY
  table_name
ORDER BY
  table_name

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 MetadataPrimitives

bench = MetadataPrimitives(scale_factor=1.0)            # your scale factor
print(bench.get_queries()['complex_type_distribution'])

Source

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