Metadata large_catalog_column_type_analysis

Metadata benchmark · all Metadata queries

Representative SQL

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

SELECT
  data_type,
  COUNT(*) AS column_count,
  COUNT(DISTINCT table_name) AS tables_with_type
FROM information_schema.columns
WHERE
  table_name LIKE 'benchbox_catalog_%'
GROUP BY
  data_type
ORDER BY
  column_count DESC

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()['large_catalog_column_type_analysis'])

Source

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