Metadata constraint_pk_list

Metadata benchmark · all Metadata queries

Representative SQL

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

SELECT
  tc.table_name,
  tc.constraint_name,
  kcu.column_name
FROM information_schema.table_constraints AS tc
JOIN information_schema.key_column_usage AS kcu
  ON tc.constraint_name = kcu.constraint_name AND tc.table_schema = kcu.table_schema
WHERE
  tc.table_name LIKE 'benchbox_%' AND tc.constraint_type = 'PRIMARY KEY'
ORDER BY
  tc.table_name,
  kcu.ordinal_position

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()['constraint_pk_list'])

Source

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