comments | difficulty | edit_url | tags | |
---|---|---|---|---|
true |
中等 |
|
表: Employee
+-------------+------+ | Column Name | Type | +-------------+------+ | id | int | | salary | int | +-------------+------+ 在 SQL 中,id 是该表的主键。 该表的每一行都包含有关员工工资的信息。
查询 Employee
表中第 n
高的工资。如果没有第 n
个最高工资,查询结果应该为 null
。
查询结果格式如下所示。
示例 1:
输入: Employee table: +----+--------+ | id | salary | +----+--------+ | 1 | 100 | | 2 | 200 | | 3 | 300 | +----+--------+ n = 2 输出: +------------------------+ | getNthHighestSalary(2) | +------------------------+ | 200 | +------------------------+
示例 2:
输入: Employee 表: +----+--------+ | id | salary | +----+--------+ | 1 | 100 | +----+--------+ n = 2 输出: +------------------------+ | getNthHighestSalary(2) | +------------------------+ | null | +------------------------+
我们可以先对 salary
进行降序排序,然后使用 LIMIT
语句获取第
import pandas as pd
def nth_highest_salary(employee: pd.DataFrame, N: int) -> pd.DataFrame:
unique_salaries = employee.salary.unique()
if len(unique_salaries) < N:
return pd.DataFrame([np.NaN], columns=[f"getNthHighestSalary({N})"])
else:
salary = sorted(unique_salaries, reverse=True)[N - 1]
return pd.DataFrame([salary], columns=[f"getNthHighestSalary({N})"])
CREATE FUNCTION getNthHighestSalary(N INT) RETURNS INT
BEGIN
SET N = N - 1;
RETURN (
# Write your MySQL query statement below.
SELECT (
SELECT DISTINCT salary
FROM Employee
ORDER BY salary DESC
LIMIT 1 OFFSET N
)
);
END