/Denormal-Automotives

DB Modeling Exercise in PostgreSQL

Denormal Automotives

DB Modeling Exercise in PostgreSQL

When connecting to your pg database, connect from this project directory.

To run sql statements from an external file, use the \i [filepath] command.

Denormal Cars

Write your queries in denormal_cars.sql when instructed to.

  1. Create a new postgres user named denormal_user.
  2. Create a new database named denormal_cars owned by denormal_user.
  3. Run the provided scripts/denormal_data.sql script on the denormal_cars database.
  4. Inspect the table named car_models by running \dS and look at the data using some SELECT statements.
  5. In denormal_cars.sql Create a query to get a list of all make_title values in the car_models table. Without any duplicate rows, this should have 71 results.
  6. In denormal_cars.sql Create a query to list all model_title values where the make_code is 'VOLKS'. Without any duplicate rows, this should have 27 results.
  7. In denormal_cars.sql Create a query to list all make_code, model_code, model_title, and year from car_models where the make_code is 'LAM', Without any duplicate rows, this should have 136 rows.
  8. In denormal_cars.sql Create a query to list all fields from all car_models in years between 2010 and 2015. Without any duplicate rows, this should have 7884 rows.

Modeling a Normalized Schema

Write your queries in normal_cars.sql when instructed to.

  1. Create a new postgres user named normal_user.
  2. Create a new database named normal_cars owned by normal_user.
  3. Run the provided scripts/denormal_data.sql script on the normal_cars database.
  4. Whiteboard your solution to normalizing the denormal_cars schema.
  5. [bonus] Generate a diagram (somehow) in .png (or other) format, that of your normalized cars schema. (save and commit to this repo).
  6. In normal_cars.sql Create a query to generate the tables needed to accomplish your normalized schema, including any primary and foreign key constraints. Logical renaming of columns is allowed.
  7. Using the resources that you now possess, In normal_cars.sql Create queries to insert all of the data that was in the car_models table, into the new normalized tables of the normal_cars database.
  8. In normal_cars.sql Create a query to get a list of all make_title values in the car_models table. Without any duplicate rows, this should have 71 results.
  9. In normal_cars.sql Create a query to list all model_title values where the make_code is 'VOLKS' Without any duplicate rows, this should have 27 results.
  10. In normal_cars.sql Create a query to list all make_code, model_code, model_title, and year from car_models where the make_code is 'LAM'. Without any duplicate rows, this should have 136 rows.
  11. In normal_cars.sql Create a query to list all fields from all car_models in years between 2010 and 2015. Without any duplicate rows, this should have 7884 rows.