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Using BashOperator to Trigger Python Script with Arguments

Python/Codingeasy0.4 min read

**Why BashOperator:** Run shell commands from Airflow—trigger scripts, CLI tools. Pass dynamic params via Jinja: {{ ds }}, {{ execution_date }}, {{ params.x }}. **Arguments:** bash_command='python /path/script.py --date {{ ds }} --env prod'. For XCom: bash_command=f'python...

🤖 Analyze Your Answer
Frequency
Low
Asked at 1 company
Category
179
questions in Python/Coding
Difficulty Split
127E|24M|28H
in this category
Total Bank
1,863
across 7 categories
Asked at these companies
Verizon
Key Concepts Tested
airflowetlpython

Why This Question Matters

This easy-level Python/Coding question appears frequently in data engineering interviews at companies like Verizon. While less common, it tests deeper understanding that distinguishes strong candidates. Mastering the underlying concepts (airflow, etl, python) will help you answer variations of this question confidently.

How to Approach This

Start by clearly defining the core concept being asked about. Interviewers want to see that you understand the fundamentals before diving into implementation details. Structure your answer with a definition, then explain the practical application with a concise example.

Expert Answer
73 words

Why BashOperator: Run shell commands from Airflow—trigger scripts, CLI tools. Pass dynamic params via Jinja: {{ ds }}, {{ execution_date }}, {{ params.x }}.

Arguments: bash_command='python /path/script.py --date {{ ds }} --env prod'. For XCom: bash_command=f'python script.py --input {ti.xcom_pull(task_ids="prev")}'.

Production: Use env vars for secrets, not command line (visible in logs). Quote paths. Prefer PythonOperator for complex logic—easier testing. Virtualenv in command if needed: /path/to/venv/bin/python script.py.

BashOperator(task_id='run', bash_command='python etl.py --date {{ ds }}')

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According to DataEngPrep.tech, this is one of the most frequently asked Python/Coding interview questions, reported at 1 company. DataEngPrep.tech maintains a curated database of 1,863+ real data engineering interview questions across 7 categories, verified by industry professionals.

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