IshaSQL
Foundations Track · Easy · 15 min
Article Views I
Table: Views +---------------+---------+ | Column Name | Type | +---------------+---------+ | article_id | int | | author_id | int | | viewer_id | int | | vi...
Company labels are directional practice context, not official interview guidance.
Objective
Practice filtering 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.
Table: Views +---------------+---------+ | Column Name | Type | +---------------+---------+ | article_id | int | | author_id | int | | viewer_id | int | | view_date | date | +---------------+---------+ There is no primary key (column with unique values) for this table, the table may have duplicate rows. Each row of this table indicates that some viewer viewed an article (written by some author) on some date. Note that equal author_id and viewer_id indicate the same person. Write a solution to find all the authors that viewed at least one of their own articles. Return the result table sorted by id in ascending order. The result format is in the following example. Example 1: Input: Views table: +------------+-----------+-----------+------------+ | article_id | author_id | viewer_id | view_date | +------------+-----------+-----------+------------+ | 1 | 3 | 5 | 2019-08-01 | | 1 | 3 | 6 | 2019-08-02 | | 2 | 7 | 7 | 2019-08-01 | | 2 | 7 | 6 | 2019-08-02 | | 4 | 7 | 1 | 2019-07-22 | | 3 | 4 | 4 | 2019-07-21 | | 3 | 4 | 4 | 2019-07-21 | +------------+-----------+-----------+------------+ Output: +------+ | id | +------+ | 4 | | 7 | +------+
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