Sort the Olympic Table
[]
['Create table If Not Exists Olympic (country varchar(50), gold_medals int, silver_medals int, bronze_medals int)', 'Truncate table Olympic', "insert into Olympic (country, gold_medals, silver_medals, bronze_medals) values ('China', '10', '10', '20')", "insert into Olympic (country, gold_medals, silver_medals, bronze_medals) values ('South Sudan', '0', '0', '1')", "insert into Olympic (country, gold_medals, silver_medals, bronze_medals) values ('USA', '10', '10', '20')", "insert into Olympic (country, gold_medals, silver_medals, bronze_medals) values ('Israel', '2', '2', '3')", "insert into Olympic (country, gold_medals, silver_medals, bronze_medals) values ('Egypt', '2', '2', '2')"]
{"mysql": ["Create table If Not Exists Olympic (country varchar(50), gold_medals int, silver_medals int, bronze_medals int)"], "mssql": ["Create table Olympic (country varchar(50), gold_medals int, silver_medals int, bronze_medals int)"], "oraclesql": ["Create table Olympic (country varchar(50), gold_medals int, silver_medals int, bronze_medals int)"], "database": true, "name": "sort_table", "pythondata": ["Olympic = pd.DataFrame([], columns=['country', 'gold_medals', 'silver_medals', 'bronze_medals']).astype({'country':'object', 'gold_medals':'Int64', 'silver_medals':'Int64', 'bronze_medals':'Int64'})"], "postgresql": ["Create table If Not Exists Olympic (country varchar(50), gold_medals int, silver_medals int, bronze_medals int)"], "database_schema": {"Olympic": {"country": "VARCHAR(50)", "gold_medals": "INT", "silver_medals": "INT", "bronze_medals": "INT"}}}
{"mysql": ["MySQL", "<p><code>MySQL 8.0</code>.</p>"], "mssql": ["MS SQL Server", "<p><code>mssql server 2019</code>.</p>"], "oraclesql": ["Oracle", "<p><code>Oracle Sql 11.2</code>.</p>"], "pythondata": ["Pandas", "<p>Python 3.10 with Pandas 2.2.2 and NumPy 1.26.4</p>"], "postgresql": ["PostgreSQL", "<p>PostgreSQL 16</p>"]}
['Database']