SQL/LeetCode
[197_EASY] Rising Temperature
소금깨
2022. 9. 25. 23:16
Rising Temperature - LeetCode
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Table: Weather
+---------------+---------+
| Column Name | Type |
+---------------+---------+
| id | int |
| recordDate | date |
| temperature | int |
+---------------+---------+
id is the primary key for this table.
This table contains information about the temperature on a certain day.
Write an SQL query to find all dates' Id with higher temperatures compared to its previous dates (yesterday).
Return the result table in any order.
The query result format is in the following example.
Example 1:
Input:
Weather table:
+----+------------+-------------+
| id | recordDate | temperature |
+----+------------+-------------+
| 1 | 2015-01-01 | 10 |
| 2 | 2015-01-02 | 25 |
| 3 | 2015-01-03 | 20 |
| 4 | 2015-01-04 | 30 |
+----+------------+-------------+
Output:
+----+
| id |
+----+
| 2 |
| 4 |
+----+
Explanation:
In 2015-01-02, the temperature was higher than the previous day (10 -> 25).
In 2015-01-04, the temperature was higher than the previous day (20 -> 30).
문제 조건
이전 날짜와 비교해서 온도가 더 높은 날짜의 ID를 출력하시오
문제 풀이
to_days() : 주어진 날짜를 0000년부터의 일수로 바꾼다.
select to_days(950501) -> 728779
-- self join
select today.id as id
from weather yesterday
left join weather today on yesterday.recordDate = date_sub(today.recordDate,interval 1 day)
where yesterday.temperature < today.temperature
-- cross join (runtime이 오래걸림... cross join이라?)
select today.id as id
from weather as today
cross join weather as yesterday
where today.temperature > yesterday.temperature
and to_days(today.recordDate) - to_days(yesterday.recordDate) = 1