refactor 1341

Author: fishercoder1534

Diff for: database/_1341.sql

@@ -1,94 +1,3 @@
---1341. Movie Rating
---
---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 the movies.
---In case of a tie, return lexicographically smaller user name.
---
---Find the movie name with the highest average rating as of Feb 2020.
---In case of a tie, return lexicographically smaller movie name..
---
---Query is returned in 2 rows, the query result format is in the folowing example:
---
---Movie 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 Maria 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.
-
 --# Write your MySQL query statement below
 SELECT user_name AS results FROM
 (