Table: Movies
+---------------+---------+ +| Column Name | Type | ++---------------+---------+ +| movie_id | int | +| title | varchar | ++---------------+---------+ +movie_id is the primary key (column with unique values) 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 (column with unique values) for this table. +The column 'name' has unique values. ++ +
Table: MovieRating
+---------------+---------+ +| Column Name | Type | ++---------------+---------+ +| movie_id | int | +| user_id | int | +| rating | int | +| created_at | date | ++---------------+---------+ +(movie_id, user_id) is the primary key (column with unique values) 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 a solution to:
+ +February 2020. In case of a tie, return the lexicographically smaller movie name.The result format is in the following example.
+ ++
Example 1:
+ +Input:
+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 |
++-------------+--------------+
+MovieRating 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 |
++-------------+--------------+--------------+-------------+
+Output:
++--------------+
+| results |
++--------------+
+| Daniel |
+| Frozen 2 |
++--------------+
+Explanation:
+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.
+
+