![ga](/ga_cog.png) # Realty --- Title: Realty
Source: WDI-Skywalker (2015)
Modified by: Karolin Rafalski, Thom Page
Competencies: SQL queries, aggregation --- ## Learning Objectives - Practice creating a database from the command line - Practice seeding a database using SQL - Practice using the Command Line API of postgresql - Practice querying a database using SQL ## Activity #### Step 1 - Create a new database - Create a new database called `realty_db`. #### Step 2 - Create a Schema - Use the given schema file named `realty_schema.sql` and create tables in your realty database which should model `Apartments`, `Offices` and `Storefronts`. They should have the following properties: ##### An Apartment should have: - id - serial primary key - apartment_number - integer - bedrooms - integer - bathrooms - integer - address - varchar - tenant - varchar - occupied - boolean - sq_ft - integer - price - integer ##### An Office should have: - id - serial primary key - office_number - integer - floors - integer - sq_ft - integer - cubicles - integer - bathrooms - integer - address - varchar - company - varchar - occupied - boolean - price - integer ##### A Storefront should have: - address - varchar - occupied - boolean - price - integer - kitchen - boolean - sq_ft - integer - owner - varchar - outdoor_seating - boolean - Load the seed file into your database from the command line. Use the `psql` shell to inspect your schema. #### Step 3 - Define a seed file and seed your database - In a SQL file named `realty_seed.sql`, write the proper INSERT commands that will add new entries into your apartment, office and storefront tables. You should create at least 3 entries for each table. Vary the attributes of each entry so no two are alike. From the command line, load this seed file into your database. #### Step 4 - Queries - In the given `realty.sql` file, write the SQL commands you would use to retrieve the following information from your database. Test each command in PSQL to make sure it is correct: - The average square footage of all offices. - The total number of apartments. - The apartments where there is no tenant - The names of all of the companies - The number of cubicles and bathrooms in the 3rd office - The storefronts that have kitchens - The storefront with the highest square footage and outdoor seating - The office with the lowest number of cubicles - The office with the most cubicles and bathrooms