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83 lines
2.7 KiB
83 lines
2.7 KiB
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# Realty
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---
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Title: Realty <br>
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Source: WDI-Skywalker (2015)<br>
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Modified by: Karolin Rafalski, Thom Page <br>
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Competencies: SQL queries, aggregation
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---
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## Learning Objectives
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- Practice creating a database from the command line
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- Practice seeding a database using SQL
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- Practice using the Command Line API of postgresql
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- Practice querying a database using SQL
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## Activity
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#### Step 1 - Create a new database
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- Create a new database called `realty_db`.
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#### Step 2 - Create a Schema
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- 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:
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##### An Apartment should have:
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- id - serial primary key
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- apartment_number - integer
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- bedrooms - integer
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- bathrooms - integer
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- address - varchar
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- tenant - varchar
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- occupied - boolean
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- sq_ft - integer
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- price - integer
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##### An Office should have:
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- id - serial primary key
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- office_number - integer
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- floors - integer
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- sq_ft - integer
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- cubicles - integer
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- bathrooms - integer
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- address - varchar
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- company - varchar
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- occupied - boolean
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- price - integer
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##### A Storefront should have:
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- address - varchar
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- occupied - boolean
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- price - integer
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- kitchen - boolean
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- sq_ft - integer
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- owner - varchar
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- outdoor_seating - boolean
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- Load the seed file into your database from the command line. Use the `psql` shell to inspect your schema.
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#### Step 3 - Define a seed file and seed your database
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- 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.
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#### Step 4 - Queries
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- 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:
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- The average square footage of all offices.
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- The total number of apartments.
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- The apartments where there is no tenant
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- The names of all of the companies
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- The number of cubicles and bathrooms in the 3rd office
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- The storefronts that have kitchens
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- The storefront with the highest square footage and outdoor seating
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- The office with the lowest number of cubicles
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- The office with the most cubicles and bathrooms
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