[
https://issues.apache.org/jira/browse/AIRFLOW-1284?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Ash Berlin-Taylor closed AIRFLOW-1284.
--------------------------------------
Resolution: Abandoned
Probably not an issue any more either
> DetachedInstanceError while using dependencies
> ----------------------------------------------
>
> Key: AIRFLOW-1284
> URL: https://issues.apache.org/jira/browse/AIRFLOW-1284
> Project: Apache Airflow
> Issue Type: Bug
> Environment: Airflow 1.8.1 on Ubuntu 14.04 and PostgreSQL database.
> Reporter: Jakub Powierza
> Priority: Major
>
> *What happened?*
> I've encountered an error that seems to be related with Airflow's
> dependencies. I've enabled them recently and they failed on my environment.
> *What I'm using?*
> I'm using Airflow 1.8.1 with Ubuntu 14.04 and PostgreSQL database.
> *My usage:*
> {noformat}
> class CustomDependency(BaseTIDep):
> ...
> def _get_dep_statuses(self, ti: TaskInstance, session: scoped_session,
> dep_context: Mapping = None) -> Iterable[TIDepStatus]:
> my_remote_system = get_remote_system_by_name(remote_system_name)
> if my_remote_system.is_up:
> yield self._passing_status(reason='Remote system {} is
> up.'.format(my_remote_system))
> else:
> yield self._failing_status(reason='Remote system {} appears to be
> down.'.format(my_remote_system))
> class MyOperator(BaseOperator):
> ...
> def deps(self) -> MutableSet[BaseTIDep]:
> deps = super().deps
> deps.add(CustomDependency(self.remote_system_name))
> return deps
> {noformat}
> *Exception:*
> {noformat}
> Traceback (most recent call last):
> File "/opt/GTA/workflow/venv/src/airflow/airflow/jobs.py", line 324, in
> helper
> pickle_dags)
> File "/opt/GTA/workflow/venv/src/airflow/airflow/utils/db.py", line 54, in
> wrapper
> result = func(*args, **kwargs)
> File "/opt/GTA/workflow/venv/src/airflow/airflow/jobs.py", line 1581, in
> process_file
> self._process_dags(dagbag, dags, ti_keys_to_schedule)
> File "/opt/GTA/workflow/venv/src/airflow/airflow/jobs.py", line 1152, in
> _process_dags
> self._process_task_instances(dag, tis_out)
> File "/opt/GTA/workflow/venv/src/airflow/airflow/jobs.py", line 838, in
> _process_task_instances
> self.logger.info("Examining DAG run {}".format(run))
> File "/opt/GTA/workflow/venv/src/airflow/airflow/models.py", line 3803, in
> __repr__
> dag_id=self.dag_id,
> File
> "/opt/GTA/workflow/venv/lib/python3.5/site-packages/sqlalchemy/orm/attributes.py",
> line 237, in __get__
> return self.impl.get(instance_state(instance), dict_)
> File
> "/opt/GTA/workflow/venv/lib/python3.5/site-packages/sqlalchemy/orm/attributes.py",
> line 579, in get
> value = state._load_expired(state, passive)
> File
> "/opt/GTA/workflow/venv/lib/python3.5/site-packages/sqlalchemy/orm/state.py",
> line 592, in _load_expired
> self.manager.deferred_scalar_loader(self, toload)
> File
> "/opt/GTA/workflow/venv/lib/python3.5/site-packages/sqlalchemy/orm/loading.py",
> line 644, in load_scalar_attributes
> (state_str(state)))
> sqlalchemy.orm.exc.DetachedInstanceError: Instance <DagRun at 0x7fa12bcb9f98>
> is not bound to a Session; attribute refresh operation cannot proceed
> {noformat}
> PS. This feature sounds great but it seems to cause too much problems right
> now. Maybe I'm using it wrong? It would be nice to document it better :)
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