33 lines
999 B
Plaintext
33 lines
999 B
Plaintext
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#!/usr/bin/python3
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import argparse
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import psycopg2
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import psycopg2.extras
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ap = argparse.ArgumentParser()
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ap.add_argument("--dbname")
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ap.add_argument("--user")
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ap.add_argument("--host")
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ap.add_argument("--schema", default="public")
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ap.add_argument("table")
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args = ap.parse_args()
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db = psycopg2.connect(host=args.host, dbname=args.dbname, user=args.user)
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csr = db.cursor(cursor_factory=psycopg2.extras.NamedTupleCursor)
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csr.execute(
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"""
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select * from information_schema.columns
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where table_schema = %s and table_name = %s
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order by ordinal_position
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""",
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(args.schema, args.table,))
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for c in csr.fetchall():
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q = "select" \
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f" min(pg_column_size({c.column_name}))," \
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f" avg(pg_column_size({c.column_name}))," \
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f" max(pg_column_size({c.column_name}))" \
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f" from {args.schema}.{args.table}"
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csr.execute(q)
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r = csr.fetchone()
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print(f"{c.column_name:7s}: {c.data_type:17s} {r.min} {r.avg:4.1f} {r.max:3d}")
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