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<p>Table: <code>Weather</code></p>
<pre>
+---------------+---------+
| 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.
</pre>
<p>&nbsp;</p>
<p>Write an SQL query to find all dates&#39; <code>Id</code> with higher temperatures compared to its previous dates (yesterday).</p>
<p>Return the result table in <strong>any order</strong>.</p>
<p>The query result format is in the following example.</p>
<p>&nbsp;</p>
<p><strong>Example 1:</strong></p>
<pre>
<strong>Input:</strong>
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 |
+----+------------+-------------+
<strong>Output:</strong>
+----+
| id |
+----+
| 2 |
| 4 |
+----+
<strong>Explanation:</strong>
In 2015-01-02, the temperature was higher than the previous day (10 -&gt; 25).
In 2015-01-04, the temperature was higher than the previous day (20 -&gt; 30).
</pre>