Metadata large_catalog_column_count

Metadata benchmark · all Metadata queries

Representative SQL

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

SELECT
  COUNT(*) AS total_columns,
  COUNT(DISTINCT table_name) AS total_tables,
  CAST(COUNT(*) AS FLOAT) / NULLIF(COUNT(DISTINCT table_name), 0) AS avg_columns_per_table
FROM information_schema.columns
WHERE
  table_name LIKE 'benchbox_catalog_%'

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_count'])

Source

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