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Posted to commits@airflow.apache.org by "Alex Papanicolaou (JIRA)" <ji...@apache.org> on 2016/05/06 22:41:12 UTC
[jira] [Comment Edited] (AIRFLOW-62) XCom push not working reliably
[ https://issues.apache.org/jira/browse/AIRFLOW-62?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15274859#comment-15274859 ]
Alex Papanicolaou edited comment on AIRFLOW-62 at 5/6/16 10:40 PM:
-------------------------------------------------------------------
Here is a run from the Airflow version PyPI.
{noformat}
--------------------------------------------------------------------------------
Attempt 1 out of 2
--------------------------------------------------------------------------------
[2016-05-06 22:15:51,093] {models.py:1041} INFO - Executing <Task(PythonOperator): upload_activity_status> on 2016-05-06 20:00:00
[2016-05-06 22:15:51,103] {xcom_test_dag_pypi.py:44} INFO - Getting status from upstream task ['poll_stream0', 'poll_stream1', 'poll_stream2', 'poll_stream3', 'poll_stream4', 'poll_stream5', 'poll_stream6', 'poll_stream7', 'poll_stream8', 'poll_stream9', 'poll_stream10', 'poll_stream11', 'poll_stream12', 'poll_stream13', 'poll_stream14', 'poll_stream15', 'poll_stream16', 'poll_stream17', 'poll_stream18', 'poll_stream19', 'poll_stream20', 'poll_stream21', 'poll_stream22', 'poll_stream23', 'poll_stream24', 'poll_stream25', 'poll_stream26', 'poll_stream27', 'poll_stream28', 'poll_stream29']
[2016-05-06 22:15:51,163] {xcom_test_dag_pypi.py:46} INFO - Xcom pull results:
({'data_stream': 'stream0',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream1',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream2',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream3',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream4',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream5',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream6',
'status': False,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream7',
'status': False,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream8',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream9',
'status': False,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream10',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream11',
'status': False,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream12',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream13',
'status': False,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream14',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream15',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream16',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream17',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream18',
'status': False,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream19',
'status': False,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream20',
'status': False,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream21',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream22',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream23',
'status': False,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream24',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream25',
'status': False,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream26',
'status': False,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream27',
'status': False,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream28',
'status': False,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream29',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)})
[2016-05-06 22:15:51,163] {xcom_test_dag_pypi.py:47} INFO - Upload to DB here
[2016-05-06 22:15:51,163] {python_operator.py:66} INFO - Done. Returned value was: None
{noformat}
was (Author: alex.papanic):
{noformat}
--------------------------------------------------------------------------------
Attempt 1 out of 2
--------------------------------------------------------------------------------
[2016-05-06 22:15:51,093] {models.py:1041} INFO - Executing <Task(PythonOperator): upload_activity_status> on 2016-05-06 20:00:00
[2016-05-06 22:15:51,103] {xcom_test_dag_pypi.py:44} INFO - Getting status from upstream task ['poll_stream0', 'poll_stream1', 'poll_stream2', 'poll_stream3', 'poll_stream4', 'poll_stream5', 'poll_stream6', 'poll_stream7', 'poll_stream8', 'poll_stream9', 'poll_stream10', 'poll_stream11', 'poll_stream12', 'poll_stream13', 'poll_stream14', 'poll_stream15', 'poll_stream16', 'poll_stream17', 'poll_stream18', 'poll_stream19', 'poll_stream20', 'poll_stream21', 'poll_stream22', 'poll_stream23', 'poll_stream24', 'poll_stream25', 'poll_stream26', 'poll_stream27', 'poll_stream28', 'poll_stream29']
[2016-05-06 22:15:51,163] {xcom_test_dag_pypi.py:46} INFO - Xcom pull results:
({'data_stream': 'stream0',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream1',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream2',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream3',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream4',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream5',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream6',
'status': False,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream7',
'status': False,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream8',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream9',
'status': False,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream10',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream11',
'status': False,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream12',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream13',
'status': False,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream14',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream15',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream16',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream17',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream18',
'status': False,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream19',
'status': False,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream20',
'status': False,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream21',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream22',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream23',
'status': False,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream24',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream25',
'status': False,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream26',
'status': False,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream27',
'status': False,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream28',
'status': False,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)},
{'data_stream': 'stream29',
'status': True,
'timeperiod': datetime.datetime(2016, 5, 6, 19, 0)})
[2016-05-06 22:15:51,163] {xcom_test_dag_pypi.py:47} INFO - Upload to DB here
[2016-05-06 22:15:51,163] {python_operator.py:66} INFO - Done. Returned value was: None
{noformat}
> XCom push not working reliably
> ------------------------------
>
> Key: AIRFLOW-62
> URL: https://issues.apache.org/jira/browse/AIRFLOW-62
> Project: Apache Airflow
> Issue Type: Bug
> Components: db, operators
> Affects Versions: Airflow 1.7.0
> Environment: Postgres backed Airflow running with Celery inside of the puckel Docker setup.
> Reporter: Alex Papanicolaou
> Assignee: Jeremiah Lowin
>
> I have a DAG that polls for activity in various data streams from a database and then uploads the activity statuses to a table. Each of the polling tasks are python operators that once they get the polling result, return a dict as an XCom push. The dict contains two entries which are strings, one which is a bool, and one which is a datetime object. There is a final task that pulls all the results and uploads the collective statuses to a table. I chose this pattern since I figured it might be better to do one collective write operation on all the results.
> Before I moved ahead to the github master branch I was using 1.7.0 from PyPI and this worked fine. Now that I am on the github master branch, I find that the XCom pushing is unreliable. The returned values in the logs show up correctly but when doing the XCom pull, I get None for some of the returned values. Investigating the XCom result in the Webserver also shows nothing there. But if I rerun a task where the XCom failed, the push works and the XCom result is as it should be.
> Nothing appears to have changed in the codebase so I am at a loss. Perhaps it really wasn't working before? How would the backing postgres handle these simultaneous writes? I can't imagine that would be a problem.
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