BashOperator¶
Use the BashOperator
to execute
commands in a Bash shell.
run_this = BashOperator(
task_id='run_after_loop',
bash_command='echo 1',
dag=dag,
)
Templating¶
You can use Jinja templates to parameterize the
bash_command
argument.
also_run_this = BashOperator(
task_id='also_run_this',
bash_command='echo "run_id={{ run_id }} | dag_run={{ dag_run }}"',
dag=dag,
)
Warning
Care should be taken with “user” input or when using Jinja templates in the
bash_command
, as this bash operator does not perform any escaping or
sanitization of the command.
This applies mostly to using “dag_run” conf, as that can be submitted via users in the Web UI. Most of the default template variables are not at risk.
For example, do not do this:
bash_task = BashOperator(
task_id="bash_task",
bash_command='echo "Here is the message: \'{{ dag_run.conf["message"] if dag_run else "" }}\'"',
)
Instead, you should pass this via the env
kwarg and use double-quotes
inside the bash_command, as below:
bash_task = BashOperator(
task_id="bash_task",
bash_command='echo "here is the message: \'$message\'"',
env={'message': '{{ dag_run.conf["message"] if dag_run else "" }}'},
)
Troubleshooting¶
Jinja template not found¶
Add a space after the script name when directly calling a Bash script with
the bash_command
argument. This is because Airflow tries to apply a Jinja
template to it, which will fail.
t2 = BashOperator(
task_id='bash_example',
# This fails with 'Jinja template not found' error
# bash_command="/home/batcher/test.sh",
# This works (has a space after)
bash_command="/home/batcher/test.sh ",
dag=dag)
However, if you want to use templating in your bash script, do not add the space
and instead put your bash script in a location relative to the directory containing
the DAG file. So if your DAG file is in /usr/local/airflow/dags/test_dag.py
, you can
move your test.sh
file to any location under /usr/local/airflow/dags/
(Example:
/usr/local/airflow/dags/scripts/test.sh
) and pass the relative path to bash_command
as shown below:
t2 = BashOperator(
task_id='bash_example',
# "scripts" folder is under "/usr/local/airflow/dags"
bash_command="scripts/test.sh",
dag=dag)
Creating separate folder for bash scripts may be desirable for many reasons, like separating your script’s logic and pipeline code, allowing for proper code highlighting in files composed in different languages, and general flexibility in structuring pipelines.
It is also possible to define your template_searchpath
as pointing to any folder
locations in the DAG constructor call.
Example:
dag = DAG("example_bash_dag", template_searchpath="/opt/scripts")
t2 = BashOperator(
task_id='bash_example',
# "test.sh" is a file under "/opt/scripts"
bash_command="test.sh ",
dag=dag)