发现LeetCode还能做数据库的题,最近比较闲,就一起做了。题目还挺难的,中等的基本就不会了,题解大法好。
思路:left join即可
SELECT
p.FirstName,
p.LastName,
a.City,
a.State
FROM
Person p
LEFT JOIN Address a ON p.PersonId = a.PersonId
思路:学习到了ifnull这个函数,当查询结果为空时,返回定义的结果。distinct去重
SELECT
ifnull(
(
SELECT DISTINCT
Salary
FROM
Employee
ORDER BY
Salary DESC
LIMIT 1,
1
),
NULL
) AS SecondHighestSalary;
思路:和前一题差不多
CREATE FUNCTION getNthHighestSalary (N INT) RETURNS INT
BEGIN
SET N = N - 1;
RETURN (
# Write your MySQL query statement below.
SELECT
ifnull(
(
SELECT DISTINCT
Salary
FROM
Employee
ORDER BY
Salary DESC
LIMIT N,
1
),
NULL
)
);
END
思路:首先查出所有分数,并按照分数排序,排名通过count函数来得到。考虑统计所有大于等于该分数的人数,就是该分数的排名。
SELECT
a.score score,
(
SELECT
count(DISTINCT b.score)
FROM
scores b
WHERE
b.score >= a.score
) rank
FROM
scores a
ORDER BY
a.score DESC
思路:题目怎么说,sql怎么写。id用于判断连续,num用于判断相等,distinct去重
SELECT DISTINCT
l1.num ConsecutiveNums
FROM
LOGS l1,
LOGS l2,
LOGS l3
WHERE
l1.id = l2.id - 1
AND l2.id = l3.id - 1
AND l1.num = l2.num
AND l2.num = l3.num
思路:题目怎么说,sql怎么写
SELECT
a. NAME Employee
FROM
Employee a,
Employee b
WHERE
a.managerid = b.id
AND a.salary > b.salary
思路:使用having筛选group后的数据
SELECT
Email
FROM
Person
GROUP BY
Email
HAVING
count(Email) > 1
思路:left join之后,查询customerid为空的人
SELECT
c. NAME Customers
FROM
Customers c
LEFT JOIN Orders o ON c.id = o.customerid
WHERE
customerid IS NULL
思路:先将两张表inner join,得到交集部分。然后对于employee表,group by之后,选出最高的salary和departmentid。使用in语句查询出名字,不直接查出名字是因为可能有多个相同的最高工资。
SELECT
b. NAME Department,
a. NAME Employee,
a.salary Salary
FROM
(
employee a
INNER JOIN department b ON a.departmentid = b.id
)
WHERE
(a.departmentid, a.salary) IN (
SELECT
c.departmentid,
max(salary)
FROM
employee c
GROUP BY
c.departmentid
)
思路:将Email和自身根据email和id两个条件inner join,查出id较大的重复数据,然后删除即可
DELETE p1.*
FROM
person p1
INNER JOIN person p2 ON p1.email = p2.email
AND p1.id > p2.id
思路:主要学习了DATEDIFF的使用,也可以使用date_sub,date_sub好像比较慢
DATEDIFF:
SELECT
w2.id
FROM
Weather w1,
Weather w2
WHERE
DATEDIFF(
w2.RecordDate,
w1.RecordDate
) = 1
AND w1.Temperature < w2.Temperature
date_sub:
SELECT
w2.id
FROM
Weather w1,
Weather w2
WHERE
w1.RecordDate = date_sub(w2.RecordDate, INTERVAL 1 DAY)
AND w1.Temperature < w2.Temperature