Description

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Available Nov 30 at 12pm – Dec 11 at 11:05pm 11 days

Homework Assignment 4
SQL Database
Worth 100 points.
(https://www.cs.rutgers.edu/academics/undergraduate/academic-integrity-policy/programmingassignments)

Implement a Music relational (SQL) database, of the kind that might be used by Spotify or Amazon Music. The database has artists, albums, songs, users, playlists, and ratings.
Type up all the required work specified in the following sections in any word processor, then convert to a PDF file named music_db.pdf. (Handwritten work is NOT acceptable.) Submit this file to Canvas – only one submission per group, please.
You are allowed up to 3 submissions, only the last submission will be graded.

Database Schema (50 pts)
You are given the following description of the entities that need to be stored in the database. Your task is to design a database schema (set of tables) to store these entities.
Your schema must be minimally redundant in storing data. In other words, you should build a set of tables that minimize the repetition of data, by using foreign keys – credit will be in accordance with this.
Artist: An individual or a group/band, uniquely identified by their name. An artist might release albums, as well as songs that are not in albums (singles).
A song belongs to one or more genres. For example, a song could be in a single genre, such as R & B, or could be in multiple genres such as Pop and Rock. Genres are pre-defined, and every song must be in at least one genre. Also, songs in an album need not all be in the same genre.
User: A user is uniquely identified by their username. A user can optionally have one or more

playlists, and optionally have ratings for songs, albums, or playlists. In other words, it’s possible that a user has no playlists, and hasn’t given any ratings.
The title of a playlist is not unique since different users might create playlists with the same title.
However, a user’s playlists will have unique titles.
Your database structure should have the most appropriate data type and size for each column in each table.
For size of data, think of a realistic online music service and imagine how many songs/artists/albums/playlists/users/ratings it might have to support. The idea is to use the least amount of storage space for each column that will be able to store the entire range of foreseeable values.
Make sure you define and specify all primary keys, foreign keys, unique valued columns or unique valued combination of columns, and null/non-null properties for columns.
In the document you will submit, type in the create table statement for each of the tables you create in the database. If you don’t have the full create statement for a table, you will not get credit for it.
Note: When you test your design in MySQL, you might use alter table statements after the initial create. However, for the submission, you are required to rewrite the whole sequence as a single create table statement per table.

Queries (50 points)
Every query must be written in a single SQL statement, meaning that if you were to write it in a MySQL client session on a terminal, there would be a single terminating semicolon. So, for example, you can have nested or multiple SQLs for a query, provided you can write it all up with a single terminating semicolon in a MySQL client session. No Python code!
For any of the queries:
If the result might require breaking ties, then unless otherwise specified in the query, let the MySQL engine deal with it (you need not do anything explicit)
If the result has fewer than the required number of entities, report all of them.
For all queries that ask for ‘top n’ or ‘most’, the result must appear from highest ranked to lowest ranked.
Type the SQL queries in the document you will submit, and make sure to write the query number against each query. (If you want to play it extra safe, copy the query statement from this list, then write your answer SQL query.)
Write queries for the following.
1. Which 3 genres are most represented in terms of number of songs in that genre?
The result must have two columns, named genre and number_of_songs.
2. Find names of artists who have songs that are in albums as well as outside of albums (singles).
The result must have one column, named artist_name
The result must have two columns, named album_name and average_user_rating.
The result must 3 columns named username, playlist_title, average_song_rating
6. Who are the top 5 most engaged users in terms of number of ratings that they have given to songs or albums? (In other words, they have given the most number of ratings to songs or albums combined.)
The result must have 2 columns, named username and number_of_ratings.
7. Find the top 10 most prolific artists (most number of songs) in the years 1990-2010? Count each song in an album individually.
The result must have 2 columns, named artist_name and number_of_songs.
8. Find the top 10 songs that are in most number of playlists. Break ties in alphabetical order of song titles.
The result must have a 2 columns, named song_title and number_of_playlists.
9. Find the top 20 most rated singles (songs that are not part of an album).
Most rated meaning number of ratings, not actual rating scores.
The result must have 3 columns, named song_title, artist_name, number_of_ratings.
10. Find all artists who discontinued making music after 1993. The result should be a single column named artist_title