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IshaSQL

Foundations Track · Easy · 15 min

Rising Temperature

Table: Weather +---------------+---------+ | Column Name | Type | +---------------+---------+ | id | int | | recordDate | date | | temperature | int | +-----...

Foundations Track
Easy
15 min
date functions
filtering

Company labels are directional practice context, not official interview guidance.

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Objective

Practice date functions through a IshaSQL-tagged business scenario.

Approach

Use this track to lock in clean query structure, basic filtering logic, and confidence with grouped output.

Company context

Company labels are directional practice context, not official interview guidance.

Prereq: query basics
Prereq: filtering

Table: Weather +---------------+---------+ | Column Name | Type | +---------------+---------+ | id | int | | recordDate | date | | temperature | int | +---------------+---------+ id is the column with unique values for this table. There are no different rows with the same recordDate. This table contains information about the temperature on a certain day. Write a solution to find all dates' id with higher temperatures compared to its previous dates (yesterday). Return the result table in any order . The 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).

Weather
id INT
recordDate DATE
temperature INT
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