197. Rising Temperature

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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

# Write your MySQL query statement belowselect a.Id from Weather a inner join Weather b on b.Date+interval 1 day =a.Date    where a.Temperature>b.Temperature;

# write your MySQL query statement belowselect a.Id from Weather a inner join Weather b on datediff(a.Date, b.Date) = 1     where a.Temperature>b.Temperature;

# Write your MySQL query statement belowSELECT wt1.Id    FROM Weather wt1,Weather wt2    WHERE TO_DAYS(wt1.DATE)-TO_DAYS(wt2.DATE)=1            &&  wt1.Temperature>wt2.Temperature;

# Write your MySQL query statement belowSELECT wt1.Id    FROM Weather wt1,Weather wt2    WHERE SUBDATE(wt1.DATE,1)=wt2.DATE            &&  wt1.Temperature>wt2.Temperature;

# Write your MySQL query statement belowSELECT wt1.Id    FROM Weather wt1,Weather wt2    WHERE DATEDIFF(wt1.DATE,wt2.DATE)=1            &&  wt1.Temperature>wt2.Temperature;

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