Unleash Data Pipeline Power: Effortless Python Package Installation in Airflow with Docker
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import python library:-
create requirement.txt file with python dependency:-
tweepy
create Dockerfile with below command
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FROM apache/airflow:2.5.1
COPY requirement.txt /requirement.txt
RUN pip install --user --upgrade pip
RUN pip install --no-cache-dir --user -r /requirement.txt
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then build image with below command:-
docker build . --tag extended_airflow:latest
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chanage airflow docker-compose file chnage image file name :-
image: ${AIRFLOW_IMAGE_NAME:-extending_airflow:latest}
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run docker-compose file again with below command
docker-compose up -d --no-deps --build airflow-webserver airflow-scheduler
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Discover the power of Docker in simplifying the installation process of Python packages within your Airflow environment. In this tutorial, we walk you through the step-by-step procedure of containerizing your Airflow setup, enabling seamless installation and management of Python packages. Learn how Docker can enhance your data pipelines by ensuring consistent package versions and eliminating dependency conflicts. Join us in this exciting journey of boosting your Airflow productivity with Docker!