Table: Actions
+---------------+---------+ | Column Name | Type | +---------------+---------+ | user_id | int | | post_id | int | | action_date | date | | action | enum | | extra | varchar | +---------------+---------+ There is no primary key for this table, it may have duplicate rows. The action column is an ENUM type of ('view', 'like', 'reaction', 'comment', 'report', 'share'). The extra column has optional information about the action, such as a reason for the report or a type of reaction. extra is never NULL.
Write an SQL query that reports the number of posts reported yesterday for each report reason. Assume today is 2019-07-05
.
Return the result table in any order.
The query result format is in the following example.
Example 1:
Input: Actions table: +---------+---------+-------------+--------+--------+ | user_id | post_id | action_date | action | extra | +---------+---------+-------------+--------+--------+ | 1 | 1 | 2019-07-01 | view | null | | 1 | 1 | 2019-07-01 | like | null | | 1 | 1 | 2019-07-01 | share | null | | 2 | 4 | 2019-07-04 | view | null | | 2 | 4 | 2019-07-04 | report | spam | | 3 | 4 | 2019-07-04 | view | null | | 3 | 4 | 2019-07-04 | report | spam | | 4 | 3 | 2019-07-02 | view | null | | 4 | 3 | 2019-07-02 | report | spam | | 5 | 2 | 2019-07-04 | view | null | | 5 | 2 | 2019-07-04 | report | racism | | 5 | 5 | 2019-07-04 | view | null | | 5 | 5 | 2019-07-04 | report | racism | +---------+---------+-------------+--------+--------+ Output: +---------------+--------------+ | report_reason | report_count | +---------------+--------------+ | spam | 1 | | racism | 2 | +---------------+--------------+ Explanation: Note that we only care about report reasons with non-zero number of reports.
# Write your MySQL query statement below
SELECT
extra report_reason,
count(
DISTINCT ( post_id )) report_count
FROM
Actions
WHERE
action_date = '2019-07-04'
AND action = 'report'
GROUP BY
extra