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4. Understanding Airflow User Interface | by Najma Bader | Medium
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4. Understanding Airflow User Interface
My personal notes from the book “Data Pipelines with Apache Airflow” by Bas
Harenslak and Julian de Ruiter — Chapter 2, Part 4
Najma Bader · Follow
5 min read · Oct 24, 2022
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4. Understanding Airflow User Interface | by Najma Bader | Medium
Data Pipelines with Apache Airflow — Manning Publications
This series of posts is meant to summarize my learnings from the book by Bas
Harenslak and Julian de Ruiter. If you like the content, you can purchase the book
on Manning.
Complete list:
https://medium.com/@thehippieandtheboss/4-understanding-airflow-user-interface-e2320ec1bf3e
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4. Understanding Airflow User Interface | by Najma Bader | Medium
Chapter 2:
- 1. Introduction to Airflow
- 2. Running Airflow Locally (in a Python Environment)
- 3. Running Airflow with Docker
- 4. Understanding Airflow User Interface
Airflow UI
Whether you are running Airflow in a Python environment or using Docker, it’s
standard practice to forward Airflow on port 8080 of the host machine (i.e. your
computer).
Once you have Airflow up and running, open a browser and go to
http://localhost:8080
. The first screen you will see is a login screen. Enter your
Username and Password. If you followed the instructions of the previous posts, they
should be
Username=admin
and
Password=admin
.
Airflow login
Once you enter, you might see a lot of DAGs. Don’t panic. These are examples
automatically loaded.
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4. Understanding Airflow User Interface | by Najma Bader | Medium
Open in app
Sign up
Sign In
Airflow Home
Let’s just focus on the DAG we have created
download_rocket_launches
. If you click
on the DAG name you should see a screen like this:
On the top of the page, you can see many different visualisations.
The most commonly used are the Code View, the Graph View, and the Tree View.
Code View
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Written by Najma Bader
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I grew up in a hippie family but I fell in love with coding. I write about my experience with Python, Big Data
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