Reputation: 325
Hi im new to Airflow , im trying to import my own customize jar as DAG which is generated with Talend Open Studio BigData, and im having some trouble when i import my DAG via the terminal, no error is shown up and my DAG is not added to the DAG list in Airflow UI
Here is my .py file code :
from airflow import DAG
from airflow.operators.bash_operator import BashOperator
from datetime import datetime
from airflow.utils.email import send_email
import os
import sys
bib_app = "/home/user/Docs/JObforAirflow/test/test_run.sh"
default_args = {
'owner': 'yabid',
'depends_on_past': False,
'start_date': datetime(2019, 4, 29),
'email': ['[email protected]'],
'email_on_failure': True,
'email_on_success': True,
'provide_context': True }
args = {
'owner': 'yabid'
,'email': ['[email protected]']
,'start_date': datetime(2019, 4, 25)
, 'provide_context': True }
dag = DAG('run_jar', default_args=default_args)
t1 = BashOperator(
task_id='dependency',
bash_command= bib_app,
dag=dag)
t2 = BashOperator(
task_id = 't2',
dag = dag,
bash_command = 'java -cp /home/user/Docs/JObforAirflow/test/jobbatch.jar'
)
t1.set_upstream(t2)
Upvotes: 0
Views: 11078
Reputation: 18844
Did you copy this DAG file to ~/airflow/dags
?
All your *.py
files need to be copied at AIRFLOW_HOME/dags
where AIRFLOW_HOME=~/airflow
from airflow import DAG
from airflow.operators.bash_operator import BashOperator
from datetime import datetime
from airflow.utils.email import send_email
import os
import sys
bib_app = "/home/user/Docs/JObforAirflow/test/test_run.sh"
default_args = {
'owner': 'yabid',
'depends_on_past': False,
'start_date': datetime(2019, 4, 25),
'email': ['[email protected]'],
'email_on_failure': True,
'email_on_success': True,
'provide_context': True
}
dag = DAG('run_jar', default_args=default_args)
t1 = BashOperator(
task_id='dependency',
bash_command= bib_app,
dag=dag)
t2 = BashOperator(
task_id = 't2',
dag = dag,
bash_command = 'java -cp /home/user/Docs/JObforAirflow/test/jobbatch.jar')
t1 >> t2
Upvotes: 2
Reputation: 10020
'email': ['[email protected]],
line with non-closed string: '[email protected]
. If you try to run this code in Airflow, the DAG will fail.AIRFLOW_HOME/dags
folder. After you will add the new DAG file, I recommend you to restart your airflow-scheduler
and airflow-webserver
Upvotes: 1