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BashOperator

As explained in Data Pipelines with Apache Airflow, Second Edition

BashOperator is an Airflow operator that executes a Bash command or script as a task.

BashOperator runs a Bash command or script as one task in an Airflow DAG. Use it when a workflow step is naturally expressed as a shell command, such as downloading raw data before a Python task processes it. section 2.7 section 3.1

Download data before processing

A data pipeline can fetch event data with BashOperator and pass execution to PythonOperator for analysis. The command creates a directory and downloads the API response: `mkdir -p /data && curl -o /data/events.json http://events-api:8081/events/latest`. The resulting task can precede a Python task that loads the JSON into pandas and calculates grouped statistics. section 3.1

Connect the operator to the rest of the workflow by:

  • Defining dependencies with `>>` or `<<` so downstream tasks run only after the Bash task completes successfully. section 2.2

How Data Pipelines with Apache Airflow, Second Edition covers it

How deep it goes
Defines instantiation, commands, task identifiers, and dependencies, but does not detail Bash scripting internals.
Examples
Uses curl commands to download rocket-launch and user-event JSON files before downstream processing.
What it assumes
Assumes basic Python and Airflow DAG knowledge while illustrating tasks, operators, and dependencies through examples.
What you can do after
Apply it via Airflow to create shell-command tasks and place them correctly in a dependent workflow.
How it connects
Connects BashOperator to DAGs, tasks, dependencies, PythonOperator, and workflow scheduling.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of Data Pipelines with Apache Airflow, Second Edition. The section links point to the parts of the book it draws on.