ETF-with-Apache-Airflow

This code defines an Apache Airflow DAG (Directed Acyclic Graph) named "ETL_Server_Access_Log_Processing" with a series of tasks for downloading, extracting, transforming, and loading data. The DAG is scheduled to run daily. Here's a brief description:

1. Importing Modules: The code begins by importing necessary modules from the Apache Airflow library.

2. DAG Arguments Block: The default_args dictionary sets up default parameters for the DAG, including owner, start date, email settings, retries, and retry delay.

3. DAG Definition Block: The DAG itself is defined with the ID "ETL_Server_Access_Log_Processing." It has a description indicating that it's the author's first DAG and is scheduled to run daily.

4. Download Task: The Download task uses the BashOperator to execute a shell command that downloads a web server access log file from a specified URL.

5. Extract Task: The Extract task uses the BashOperator to execute a shell command (cut) that extracts specific fields (timestamp and visitorid) from the downloaded log file and saves the result in a new file named "extracted.txt."

6. Transform Task: The Transform task uses the BashOperator to execute a shell command (tr) that capitalizes all characters in the visitorId field in the "extracted.txt" file, producing a new file named "capitalized.txt."

7. Load Task: The Load task uses the BashOperator to execute a shell command (zip) that compresses the "capitalized.txt" file into a ZIP archive named "log.zip."

8. Task Dependencies: The Download task is set as a dependency for the Extract task, the Extract task is a dependency for the Transform task, and the Transform task is a dependency for the Load task. This creates a sequence of tasks where each task depends on the successful completion of the previous one.

The DAG is essentially an ETL (Extract, Transform, Load) workflow that processes a web server access log file on a daily basis.