1341. Movie Rating

https://leetcode.com/problems/movie-rating

Description

Table: Movies

+---------------+---------+
| Column Name   | Type    |
+---------------+---------+
| movie\_id      | int     |
| title         | varchar |
+---------------+---------+
movie\_id is the primary key for this table.
title is the name of the movie.

Table: Users

+---------------+---------+
| Column Name   | Type    |
+---------------+---------+
| user\_id       | int     |
| name          | varchar |
+---------------+---------+
user\_id is the primary key for this table.

Table: Movie_Rating

+---------------+---------+
| Column Name   | Type    |
+---------------+---------+
| movie\_id      | int     |
| user\_id       | int     |
| rating        | int     |
| created\_at    | date    |
+---------------+---------+
(movie\_id, user\_id) is the primary key for this table.
This table contains the rating of a movie by a user in their review.
created\_at is the user's review date. 

Write the following SQL query:

• Find the name of the user who has rated the greatest number of movies. In case of a tie, return lexicographically smaller user name.

• Find the movie name with the highest average rating in February 2020. In case of a tie, return lexicographically smaller movie name.

The query is returned in 2 rows, the query result format is in the following example:

Movies table:
+-------------+--------------+
| movie\_id    |  title       |
+-------------+--------------+
| 1           | Avengers     |
| 2           | Frozen 2     |
| 3           | Joker        |
+-------------+--------------+
Users table:
+-------------+--------------+
| user\_id     |  name        |
+-------------+--------------+
| 1           | Daniel       |
| 2           | Monica       |
| 3           | Maria        |
| 4           | James        |
+-------------+--------------+
Movie\_Rating table:
+-------------+--------------+--------------+-------------+
| movie\_id    | user\_id      | rating       | created\_at  |
+-------------+--------------+--------------+-------------+
| 1           | 1            | 3            | 2020-01-12  |
| 1           | 2            | 4            | 2020-02-11  |
| 1           | 3            | 2            | 2020-02-12  |
| 1           | 4            | 1            | 2020-01-01  |
| 2           | 1            | 5            | 2020-02-17  | 
| 2           | 2            | 2            | 2020-02-01  | 
| 2           | 3            | 2            | 2020-03-01  |
| 3           | 1            | 3            | 2020-02-22  | 
| 3           | 2            | 4            | 2020-02-25  | 
+-------------+--------------+--------------+-------------+
Result table:
+--------------+
| results      |
+--------------+
| Daniel       |
| Frozen 2     |
+--------------+
Daniel and Monica have rated 3 movies ("Avengers", "Frozen 2" and "Joker") but Daniel is smaller lexicographically.
Frozen 2 and Joker have a rating average of 3.5 in February but Frozen 2 is smaller lexicographically.

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