jimvickery / ChinookDatabase1.4_CompleteVersion

This repo has Queries for the Chinook DB. It also has code to create a University DB with SQL code to create the DB, insert records and then query said DB. The other SQL is as follows: For each of the following exercises, provide the appropriate query. Yes, even the ones that are expressed in the form of questions. Everything from class and the Sqlite Documentation is fair game.

ChinookDatabase1.4_CompleteVersion

NOTE: The SQL queries for Chinook DB and Database Creation and queries for the University DB are located in
the allQueries.html file above. It has several Queries for Chinook Database found in Chinook_Sqlite.sqlite 
above...also code to create a database inside of any SQL DB such as Oracle's SQL Live found at 
https://livesql.oracle.com. There you can create a free account and use the SQL in middle of allQueries.html 
page to create a database, populate it and then query it using the queries from stated page.

non_usa_customers.sql: Provide a query showing Customers (just their full names, customer ID and country) who are not in the US.

brazil_customers.sql: Provide a query only showing the Customers from Brazil.

brazil_customers_invoices.sql: Provide a query showing the Invoices of customers who are from Brazil. The resultant table should show the customer's full name, Invoice ID, Date of the invoice and billing country.

sales_agents.sql: Provide a query showing only the Employees who are Sales Agents.

unique_invoice_countries.sql: Provide a query showing a unique/distinct list of billing countries from the Invoice table.

sales_agent_invoices.sql: Provide a query that shows the invoices associated with each sales agent. The resultant table should include the Sales Agent's full name.

invoice_totals.sql: Provide a query that shows the Invoice Total, Customer name, Country and Sale Agent name for all invoices and customers.

total_invoices_{year}.sql: How many Invoices were there in 2009 and 2011?

total_sales_{year}.sql: What are the respective total sales for each of those years?

invoice_37_line_item_count.sql: Looking at the InvoiceLine table, provide a query that COUNTs the number of line items for Invoice ID 37.

line_items_per_invoice.sql: Looking at the InvoiceLine table, provide a query that COUNTs the number of line items for each Invoice. HINT: GROUP BY

line_item_track.sql: Provide a query that includes the purchased track name with each invoice line item.

line_item_track_artist.sql: Provide a query that includes the purchased track name AND artist name with each invoice line item.

country_invoices.sql: Provide a query that shows the # of invoices per country. HINT: GROUP BY

playlists_track_count.sql: Provide a query that shows the total number of tracks in each playlist. The Playlist name should be include on the resulant table.

tracks_no_id.sql: Provide a query that shows all the Tracks, but displays no IDs. The result should include the Album name, Media type and Genre.

invoices_line_item_count.sql: Provide a query that shows all Invoices but includes the # of invoice line items.

sales_agent_total_sales.sql: Provide a query that shows total sales made by each sales agent.

top_2009_agent.sql: Which sales agent made the most in sales in 2009?

Hint: Use the MAX function on a subquery. top_agent.sql: Which sales agent made the most in sales over all?

sales_agent_customer_count.sql: Provide a query that shows the count of customers assigned to each sales agent.

sales_per_country.sql: Provide a query that shows the total sales per country.

top_country.sql: Which country's customers spent the most?

top_2013_track.sql: Provide a query that shows the most purchased track of 2013.

top_5_tracks.sql: Provide a query that shows the top 5 most purchased tracks over all.

top_3_artists.sql: Provide a query that shows the top 3 best selling artists.

top_media_type.sql: Provide a query that shows the most purchased Media Type.

Using Oracle SQL Developer to run SQL Commands can be seen inside the allQueries.html file.