Metadata stats_data_type_summary

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 usage_count,
  COUNT(DISTINCT table_name) AS tables_using
FROM information_schema.columns
WHERE
  NOT table_schema IN ('information_schema', 'pg_catalog')
GROUP BY
  data_type
ORDER BY
  usage_count DESC
LIMIT 20

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()['stats_data_type_summary'])

Source

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