So i have a test dag of one task, which is simple ETL try to extract data from mssql db and load them to postgres db. so in the way it working is select by date and insert to postgres db for the last 360 days. but the task is timeout on the select statement after say 10 days or so.
def get_receiveCars(**kwargs):
#get current date
end_date = datetime.now()
#loop for 360 days
for x in range(360):
startDate = today - timedelta(days=x)
delete_dataPostgres(startDate.strftime('%Y-%m-%d'), "received sample")
select_dataMsql(startDate)
and the select statement is:
def select_dataMsql(startDate):
#insert data
endDate = str(startDate.strftime('%Y-%m-%d')) + " 23:59:59"
ms_hook = MsSqlHook(mssql_conn_id='mssql_db')
select_sql="""select carColor, carBrand, fuelType, COUNT(DISTINCT RequestID ) AS received
FROM Requests
where
ReceivedDateTime >= %s
AND ReceivedDateTime< %s
GROUP BY carColor, carBrand, fuelType"""
cond = (startDate, endDate)
results =ms_hook.get_records(select_sql, parameters=cond)
insert_data(results, startDate)
and here is my dag
from datetime import datetime, timedelta
from airflow import DAG
from airflow.operators.python_operator import PythonOperator
from src.get_receiveCars import get_receiveCars
#from src.transform_data import transform_data
#from src.load_table import load_table
import requests
import json
import os
# Define the default dag arguments.
default_args = {
'owner': 'airflow',
'depends_on_past': False,
'email': XXXXX,
'email_on_failure': True,
'email_on_retry': False,
'retries': 3,
'retry_delay': timedelta(minutes=1)
}
# Define the dag, the start date and how frequently it runs.
# I chose the dag to run everday by using 1440 minutes.
dag = DAG(
dag_id='reveive_sample',
default_args=default_args,
dagrun_timeout=timedelta(minutes=200),
schedule_interval= '@daily',
start_date=datetime(2020, 10, 30))
# First task is to query get the weather from openweathermap.org.
mid_task = PythonOperator(
task_id='get_receiveCars',
provide_context=True,
python_callable=get_receiveCars,
dag=dag)
# Set task1
mid_task
LOGS
- Start syncing user roles.
[2020-10-30 18:29:40,238] {timeout.py:42} ERROR - Process timed out, PID: 84214
[2020-10-30 18:29:40,238] {dagbag.py:259} ERROR - Failed to import: /root/airflow/dags/receive_sample.py
Traceback (most recent call last):
File "/root/airflow/lib/python3.6/site-packages/airflow/models/dagbag.py", line 256, in process_file
m = imp.load_source(mod_name, filepath)
File "/usr/local/lib/python3.6/imp.py", line 172, in load_source
module = _load(spec)
File "<frozen importlib._bootstrap>", line 684, in _load
File "<frozen importlib._bootstrap>", line 665, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 678, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/root/airflow/dags/receive_sample.py", line 5, in <module>
from src.get_receiveCars import get_receiveCars
File "/root/airflow/dags/src/get_receiveCars.py", line 56, in <module>
get_receiveCars()
File "/root/airflow/dags/src/get_receiveCars.py", line 17, in get_receiveCars
delete_data(startDate.strftime('%Y-%m-%d'), "received cars")
File "/root/airflow/dags/src/get_receiveCars.py", line 26, in delete_data
pg_hook.run(delete_sql, parameters=cond)
File "/root/airflow/lib/python3.6/site-packages/airflow/hooks/dbapi_hook.py", line 172, in run
cur.execute(s, parameters)
File "/usr/local/lib/python3.6/encodings/utf_8.py", line 15, in decode
def decode(input, errors='strict'):
File "/root/airflow/lib/python3.6/site-packages/airflow/utils/timeout.py", line 43, in handle_timeout
raise AirflowTaskTimeout(self.error_message)
airflow.exceptions.AirflowTaskTimeout: Timeout, PID: 84214
[2020-10-30 18:29:40,260] {security.py:477} INFO - Start syncing user roles.
[2020-10-30 18:29:40,350] {security.py:477} INFO - Start syncing user roles.
[2020-10-30 18:29:40,494] {security.py:387} INFO - Fetching a set of all permission, view_menu from FAB meta-table
[2020-10-30 18:29:40,550] {security.py:387} INFO - Fetching a set of all permission, view_menu from FAB meta-table
[2020-10-30 18:29:40,639] {security.py:387} INFO - Fetching a set of all per
Check your configuration:
airflow config list|grep -i timeout
dagbag_import_timeout = 30
dag_file_processor_timeout = 50
web_server_master_timeout = 120
web_server_worker_timeout = 120
log_fetch_timeout_sec = 5
smtp_timeout = 30
operation_timeout = 1.0
task_adoption_timeout = 600
You'll want to change the dagbag_import_timeout setting so it has time to load your dag.
To do this update your airflow.cfg file or set the environment variable:
export AIRFLOW__CORE__DAGBAG_IMPORT_TIMEOUT=300
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