sayantikabanik / etl-cli-from-scratch

Demonstration of various OSS technologies to construct an ETL pipeline

ETL/CLI-from-scratch

Demonstration of various OSS technologies to construct an ETL/CLI pipeline

Dependency management using conda

Steps to create environment

conda env create --file environment.yml

conda activate etl

conda list

conda info

conda deactivate

Airflow

Creating user and running the webserver

1(a). Setting the user credentials using flask fab, follow the instructions on the command line

FLASK_APP=airflow.www.app flask fab create-admin

1(b). Creating user using airflow's create users command

airflow users create 
--username admin 
--password your_password 
--firstname your_first_name 
--lastname your_last_name 
--role Admin 
--email [email protected]

2. Run the below command to confirm if the user is created

airflow users list

3. Initialise airflow database

airflow db init

5. Setup mysql database and secure it using password - macOS setup instructions

6. Make changes in the airflow.cfg

7. Star the airflow webserver and schedular

airflow webserver
airflow schedular

Doit

• CLI commands
• Doit looks for dodo.py but you can explicitly add -f flag for other file names doit -f <filrname.py>
• doc attribute to add better messaging for end-user
• Defining tasks and dependency

def task_compile():
return {'actions': ["cc -c main.c"],
            'file_dep': ["main.c", "defs.h"],
            'targets': ["main.o"],
            'doc': 'nice message'
            }

Typer

Command usage - python <filename.py> <agrs*>

References

• https://insaid.medium.com/setting-up-apache-airflow-in-macos-2b5e86eeaf1