Maximum and Minimum Track Length
Welcome to this lab on SQLite, where you'll be working with the widely known sample database called Chinook. The Chinook database simulates a digital media store and includes data related to artists, albums, media tracks, invoices, and customers.
Your main goal is to dive deep into the database, uncover insights, and understand the structure and relationships present in the tables. We have designed challenges that will test your ability to query and manipulate data using SQLite.
Database Schema:
The primary table you'll be working with in this lab is the "Track"
table. It holds information about each individual track, including its name, album, media type, genre, composer, milliseconds length, bytes, and unit price.
Column Details:
"TrackId"
: A unique identifier for each track."Name"
: Name of the track."AlbumId"
: The ID representing the album to which this track belongs."MediaTypeId"
: The ID representing the type of media of the track."GenreId"
: The ID representing the genre of the track."Composer"
: The composer of the track."Milliseconds"
: The length of the track in milliseconds."Bytes"
: The size of the track in bytes."UnitPrice"
: The price of the track.
Challenge : Track Length Extremes
In the vast collection of tracks in the chinook database, your task is to identify the extremes of track lengths.
Table Used:
Track
Details:
-
Retrieve: The longest and shortest track lengths from the database.
-
Columns to Retrieve:
MaxLength
which should represent the longest track length (corresponding to theMilliseconds
column in theTrack
table).MinLength
which should represent the shortest track length (again corresponding to theMilliseconds
column).
-
Ordering: Results should be ordered by
MaxLength
in descending order.
Hint: Consider using aggregate functions to determine the maximum and minimum values from a column. Your final output should have the column names as MaxLength
and MinLength
.
Tips:
- Always use double quotes for table and column names, like
"TableName"
or"ColumnName"
, to ensure clarity and to prevent any potential naming conflicts. - Remember to adhere to the exact column names, especially in the final results, as even a minor discrepancy can lead to a mismatch with the solution.
- Pay close attention to the ordering; an accurate order can be crucial to matching the solution's output.