Accessing configuration parameters passed to Airflow through CLI

问题

I am trying to pass the following configuration parameters to Airflow CLI while triggering a dag run. Following is the trigger_dag command I am using.

airflow trigger_dag  -c '{"account_list":"[1,2,3,4,5]", "start_date":"2016-04-25"}'  insights_assembly_9900

My problem is that how can I access the con parameters passed inside an operator in the dag run.

回答1:

This is probably a continuation of the answer provided by devj.

At airflow.cfg the following property should be set to true: dag_run_conf_overrides_params=True
While defining the PythonOperator, pass the following argument provide_context=True. For example:

get_row_count_operator = PythonOperator(task_id='get_row_count', python_callable=do_work, dag=dag, provide_context=True)

Define the python callable (Note the use of **kwargs):

def do_work(**kwargs):    
    table_name = kwargs['dag_run'].conf.get('table_name')    
    # Rest of the code

Invoke the dag from command line:

airflow trigger_dag read_hive --conf '{"table_name":"my_table_name"}'

I have found this discussion to be helpful.

回答2:

There are two ways in which one can access the params passed in airflow trigger_dag command.

In the callable method defined in PythonOperator, one can access the params as kwargs['dag_run'].conf.get('account_list')
given the field where you are using this thing is templatable field, one can use {{ dag_run.conf['account_list'] }}

The schedule_interval for the externally trigger-able DAG is set as None for the above approaches to work

回答3:

Firstly, import this somewhere

from airflow.configuration import conf
conf.set("core", "my_key", "my_val")

Secondly, get the value somewhere

conf.get("core", "my_key")

来源：https://stackoverflow.com/questions/43652192/accessing-configuration-parameters-passed-to-airflow-through-cli

标签

python

airflow