Search ⌘K
I
IshaSQL

Foundations Track · Easy · 15 min

Article Views I

Table: Views +---------------+---------+ | Column Name | Type | +---------------+---------+ | article_id | int | | author_id | int | | viewer_id | int | | vi...

Foundations Track
Easy
15 min
filtering

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

Timer 00:00
Back to practice

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.

Prereq: query basics

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 | +------+

Views
article_id INT
author_id INT
viewer_id INT
view_date DATE
Editor
SQL workspace

Run queries against the protected question data, then submit once the result shape looks right.

Sign in to run SQL

Create a free account or sign in before running queries against protected question data.