comments | difficulty | edit_url | tags | |
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true |
简单 |
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表:Project
+-------------+---------+ | Column Name | Type | +-------------+---------+ | project_id | int | | employee_id | int | +-------------+---------+ (project_id, employee_id) 是该表的主键(具有唯一值的列的组合)。 employee_id 是该表的外键(reference 列)。 该表的每一行都表明 employee_id 的雇员正在处理 Project 表中 project_id 的项目。
表:Employee
+------------------+---------+ | Column Name | Type | +------------------+---------+ | employee_id | int | | name | varchar | | experience_years | int | +------------------+---------+ employee_id 是该表的主键(具有唯一值的列)。 该表的每一行都包含一名雇员的信息。
编写一个解决方案来报告所有拥有最多员工的 项目。
以 任意顺序 返回结果表。
返回结果格式如下所示。
示例 1:
输入: Project table: +-------------+-------------+ | project_id | employee_id | +-------------+-------------+ | 1 | 1 | | 1 | 2 | | 1 | 3 | | 2 | 1 | | 2 | 4 | +-------------+-------------+ Employee table: +-------------+--------+------------------+ | employee_id | name | experience_years | +-------------+--------+------------------+ | 1 | Khaled | 3 | | 2 | Ali | 2 | | 3 | John | 1 | | 4 | Doe | 2 | +-------------+--------+------------------+ 输出: +-------------+ | project_id | +-------------+ | 1 | +-------------+ 解释: 第一个项目有3名员工,第二个项目有2名员工。
# Write your MySQL query statement below
SELECT project_id
FROM Project
GROUP BY 1
HAVING
COUNT(1) >= all(
SELECT COUNT(1)
FROM Project
GROUP BY project_id
);
# Write your MySQL query statement below
WITH
T AS (
SELECT
project_id,
RANK() OVER (ORDER BY COUNT(employee_id) DESC) AS rk
FROM Project
GROUP BY 1
)
SELECT project_id
FROM T
WHERE rk = 1;