Metadata wide_table_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, data_type, COUNT(*) AS type_count, COUNT(*) * 100.0 / SUM(COUNT(*)) OVER (PARTITION BY table_name) AS percentageFROM information_schema.columnsWHERE table_name LIKE 'benchbox_wide_%'GROUP BY table_name, data_typeORDER BY table_name, type_count DESCRepresentative 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 factorprint(bench.get_queries()['wide_table_type_distribution'])Source
Query text: benchbox/core/metadata_primitives/queries.py