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rising-temperature.sql
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28 lines (27 loc) · 844 Bytes
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# Time: O(n^2)
# Space: O(n)
#
# Given a Weather table, write a SQL query to find all dates'
# Ids with higher temperature compared to its previous (yesterday's) dates.
#
# +---------+------------+------------------+
# | Id(INT) | Date(DATE) | Temperature(INT) |
# +---------+------------+------------------+
# | 1 | 2015-01-01 | 10 |
# | 2 | 2015-01-02 | 25 |
# | 3 | 2015-01-03 | 20 |
# | 4 | 2015-01-04 | 30 |
# +---------+------------+------------------+
# For example, return the following Ids for the above Weather table:
# +----+
# | Id |
# +----+
# | 2 |
# | 4 |
# +----+
#
# Write your MySQL query statement below
SELECT wt1.Id
FROM Weather wt1, Weather wt2
WHERE wt1.Temperature > wt2.Temperature AND
TO_DAYS(wt1.DATE)-TO_DAYS(wt2.DATE)=1;