Refine your SQL skills using pg-dock-sql—a PostgreSQL Docker environment for hands-on coding challenges and solutions. This helps to elevate your proficiency in SQL through handson experience.

• Pre-Requisites
• Setup
• Launch the environment
• Verify Installation
• How to extend?
• Create artifacts required
• Validating your solution
• Stop the environment
• Cleanup the environment

• docker (https://docs.docker.com/engine/install/)
• docker-compose (Refer to https://docs.docker.com/compose/)
• Visual Studio Code
  • This is optional for local SQL development and debugging against the postgres docker container using an IDE.
• PGSQL Plugins for VSCode
  • This is optional.

• Clone the repository to your local machine

  git clone git@github.com:sibyabin/pg-dock-sql.git
  cd pg-dock-sql
  

  The directory will look like the below.

  

• Set below environment variables in your terminal

  export POSTGRES_DB=practise
  export POSTGRES_USER=dbuser
  export POSTGRES_PASSWORD=<password>
  

• Run the command sh launch-environment.sh

• Run docker ps command to check if the container started without issues
• Run below commands against the container to check whether the all the exercise schemas and tables are created

  docker exec -it postgres psql -v --username dbuser --dbname practise -c "\dn"
  

  

Under scripts folder , create a folder structures in the format exercise-<some_number>. For e.g., example-111

    ├── exercise-111
    │   ├── code
    │   │   └── setup.sql
    │   │   ├── expected.sql
    │   │   └── solution.sql
    │   ├── README.md
    │   └── tests
    │       └── test1.sql

• README: This can be used to document the details of the problem. Test data to be used etc.
• setup.sql: This SQL can be used to create the required tables and then seed the test data.
• expected.sql: This SQL contains the expected output
• solution.sql: This SQL contains the solution to the problem implemented.

Execute the command sh check-solution.sh <some_number> on your system to validate the solution. This script will establish a connection with the PostgreSQL Docker container, execute your provided solution, and display both the expected and actual outputs. some_number can be any number between 101 to 200

Execute the command sh stop-environment.sh to halt the containers when you are not actively working on them.

Execute the command sh cleanup-environment.sh to cleanup the environment (containers, networks, images, volumes etc) permanently.