Table: Olympic
+---------------+---------+ | Column Name | Type | +---------------+---------+ | country | varchar | | gold_medals | int | | silver_medals | int | | bronze_medals | int | +---------------+---------+ In SQL, country is the primary key for this table. Each row in this table shows a country name and the number of gold, silver, and bronze medals it won in the Olympic games.
The Olympic table is sorted according to the following rules:
Write a solution to sort the Olympic table.
The result format is shown in the following example.
Example 1:
Input: Olympic table: +-------------+-------------+---------------+---------------+ | country | gold_medals | silver_medals | bronze_medals | +-------------+-------------+---------------+---------------+ | China | 10 | 10 | 20 | | South Sudan | 0 | 0 | 1 | | USA | 10 | 10 | 20 | | Israel | 2 | 2 | 3 | | Egypt | 2 | 2 | 2 | +-------------+-------------+---------------+---------------+ Output: +-------------+-------------+---------------+---------------+ | country | gold_medals | silver_medals | bronze_medals | +-------------+-------------+---------------+---------------+ | China | 10 | 10 | 20 | | USA | 10 | 10 | 20 | | Israel | 2 | 2 | 3 | | Egypt | 2 | 2 | 2 | | South Sudan | 0 | 0 | 1 | +-------------+-------------+---------------+---------------+ Explanation: The tie between China and USA is broken by their lexicographical names. Since "China" is lexicographically smaller than "USA", it comes first. Israel comes before Egypt because it has more bronze medals.
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{"headers":{"Olympic":["country","gold_medals","silver_medals","bronze_medals"]},"rows":{"Olympic":[["China",10,10,20],["South Sudan",0,0,1],["USA",10,10,20],["Israel",2,2,3],["Egypt",2,2,2]]}}